Monitor Me Horizon


Monitor Me

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Do you know how many steps you took today?

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How many calories you burned? How many people you met?

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Or how many hours you slept?

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If you knew these things, it might make you healthier,

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or even save your life.

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And finding them out is no longer very difficult.

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These days, there's almost nothing we can't measure about our lives,

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and we can do it with stuff that almost all of us own.

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Whether it's apps on our phones or the latest gadgets...

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You wear it as a headband, so like this when you're asleep.

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..the promise is that our health will be transformed.

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We're almost at Day Zero of a whole new world of medicine.

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There are now doctors giving out apps

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the way they used to prescribe pills or surgery.

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That feels very Star Trek to me.

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Three volunteers are going to join me

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to put this medical revolution to the test.

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I've really got to up my game.

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These three weeks have been quite a revelation for me.

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That's absolutely gobsmacking.

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I'm going to find out whether simply monitoring ourselves can change us.

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Can this self-monitoring revolution be the key to longer,

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healthier lives?

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I'm Kevin Fong.

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I'm getting ready for a day on the medical frontline.

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I'm going to see how fundamental the ability to monitor ourselves is

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to saving lives.

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So I'm here in the crew room of London's Air Ambulance.

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These guys are ready to fly off to the scene of an emergency

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at a moment's notice,

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and all they're waiting for is for that klaxon to go.

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London's air ambulance exists to get medical staff

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to the scene of an emergency as fast as possible.

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With a senior trauma doctor on board,

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they're trained to deal with almost any situation.

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The team are expected to be airborne

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within four minutes of the klaxon sounding.

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There's no room for a film crew aboard,

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so I'm going to be on my own with this.

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On board are all the tools the team needs to save lives.

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They've even performed heart surgery at the roadside.

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But in many ways, the most important thing of all on this helicopter

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is the monitoring equipment.

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If you don't know what's going on inside your patient's body,

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you've got no hope of fixing them.

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We've been called out to treat someone

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who's suffered a severe head injury.

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I think I'll just put a few stitches in that first.

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As soon as possible,

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the patient is hooked up to the team's monitoring equipment.

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This is our monitor pack,

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and this carries all the vital bits of kits, essentially,

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that we use to monitor heart rate,

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blood pressure, their oxygen level and the gases that they breathe out.

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Essentially, this is a surrogate

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for everything in the emergency department.

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We can have as much surgical kit as we want,

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but it really is essentially useless

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if we can't tell what's happening with the patient.

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So the team are dealing with quite a serious head injury there.

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In addition to delivering a doctor and a paramedic very rapidly,

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they're also able to bring with them some quite advanced monitoring,

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the sort of thing you could get in an intensive care unit, really,

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small enough and portable enough

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that they're able to describe that injury in great detail

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before they ever get anywhere near the hospital.

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Quite simply,

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this small box can make the difference between life and death.

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The patient's been stabilised.

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The team will go with him by ambulance to the nearest hospital.

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The crisis is over, and the outlook is positive.

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You know, this is much more than just a helicopter,

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it's essentially a mobile accident and emergency unit.

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And it's possible

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only because you can take that incredible suite of monitoring

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that you would normally find in a hospital,

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shrink it down and stick it in the back of a vehicle like that.

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But what if everybody could monitor themselves to the same degree?

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What if we all had that capability?

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How would that improve our health?

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I'm going to start

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by checking out some of the latest medical technology.

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But I'm not talking about MRI scanners or surgical robots.

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I'm not heading to a hospital, or a doctor's surgery.

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I've come to a sports shop.

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For a few years, people who are far more committed to exercise than me

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have been using gadgets like these to help them keep fit.

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You know, these are fundamentally impressive devices.

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Take, for example, the GPS trackers,

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which grab information from satellites

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and define your position with unparalleled accuracy.

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And then there's the heart rate monitors

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which can measure the faint spread of electricity across your heart,

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through the full thickness of your chest.

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In a few years,

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the number of us with wireless health and fitness devices

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is expected to rise to almost 200 million.

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When these products started to become available a few years ago,

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it didn't occur to me that they would become so advanced

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or deliver such a rich stream of information.

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And I didn't anticipate

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that self-monitoring would find its way into medicine.

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But it's beginning to. And that could make a huge difference,

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so much so that I've started to think

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that we might be on the brink of a revolution in healthcare.

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This is a revolution that takes monitoring

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out of doctors' hands, out of hospitals, and it gives it to us.

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And by doing that, it places us at the heart of our own healthcare,

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and makes doctors of all of us.

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There are few people that know this new world of medicine

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better than Blaine Price.

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He's pretty obsessed when it comes to the latest gadgets.

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You're pretty into self-monitoring.

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Yes, I get every app going.

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I buy all the devices I can and try them out.

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And it's great, because I get to play with all the toys

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and learn lots of things about myself at the same time.

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'Blaine's gathered together some of his favourite toys

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'for me to have a look at.'

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What have you got for me here?

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First of all, we've got these, kind of a glorified pedometer

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to keep track of how many steps you take, but it's a lot more than that.

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They'll monitor exactly when you took your steps,

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how active they were and intense they were, what time of day it was.

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Sleep is one that people are often interested in.

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So, er, this one, you wear it as a headband,

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so like this when you're asleep,

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and it measures a bit about your brain activity.

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It can tell you what phase of sleep you're in,

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deep sleep, light sleep, REM and so on.

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And if heart information is interesting to you,

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we've got a pulse oximeter here.

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Oh, yeah, the sort of stuff I use in the hospital anyway.

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Sure. And before, you only could get it in a hospital.

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This is now very inexpensive

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and what it's doing is measuring cardiac rhythm and blood sats.

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Looks like I'm fairly healthy at 98 or so.

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From the comfort of our own homes,

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we can now measure many of our vital signs.

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We can also measure a few things you might never have thought of.

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There are consumer devices to check your posture...

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your blood alcohol levels...

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-Do a quick jump.

-How high you jump...

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And even how quickly you're eating.

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And much of this, we can do without even buying any new gadgets.

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There are now tens of thousands of apps

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available on our phones to track anything and everything about us.

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In fact, there are hundreds of apps coming out probably every week

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which are health-related, able to measure things, log things.

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Some of the latest apps use things designed for one obvious purpose,

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like a phone's camera, to do something utterly unexpected.

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We even have apps that can measure your heart rate

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-just by looking at you.

-That's amazing.

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Give it a try. You have to keep fairly still.

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OK, so I'm going to have to shut up and stay still.

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And it will measure your heart rate by looking at the colour changes

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in your face, and it might even get your breathing rate in there.

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So there's the heart rate there coming in, about 79 or 80.

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And breathing rate about 17. That's really quite incredible

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because it must be, the heart rate stuff there

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must be on just seeing the small differences

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in the change and colour of my face?

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So as the capillaries sort of swell up and fall away with every beat?

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Yes, it's the resolution of the camera that does it.

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The technology here has such a high resolution in smartphones

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and tablets that we're looking at the same range

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you would have had in medical scientific instruments 20 years ago.

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I find that...just gobsmacking, really.

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Blaine has set up an experiment to help me find out

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whether this technology can really make us healthier.

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He's roped me into taking part as well.

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-I'm Kevin, hi.

-I'm Celia.

-Celia, hi.

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'Celia, Cathy, and Pam work together.'

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So I understand that you've volunteered to be guinea pigs

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-for this particular experiment.

-Yes, we are the guinea pigs.

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What have we let ourselves in for?

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'They're hoping that by monitoring themselves,

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'they can overcome an endless struggle and lose some weight.'

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We're permanently on diets, aren't we?

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We're all very conscious about we eat too much

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and we drink too much, but we love it.

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We all discuss what we ate last night.

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"Oh, no, I had a glass of wine." "Well, Celia had three."

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We've got a set of scales in the office,

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and so every week, we weigh in

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and we keep a chart of what our weight loss is,

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and sometimes weight gain.

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Until now, this, standing on a set of scales,

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has been the only form of self-monitoring that most people do.

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I've got to get all my jewellery off.

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Moment of truth. We do this every week, don't we?

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-Does it make any difference? No.

-I thought you'd been so good!

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-Don't forget your watch.

-I'll take my watch off.

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Get off, quick!

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OK, Cathy.

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-It's stayed the same.

-Oh, the same as last time.

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Same as the week before.

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It's the same story for so many of us.

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There's too much going on in our lives

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that stops us getting fit and staying healthy.

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I find it really difficult to wake up in the morning

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and think about doing some exercise.

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There's quite a lot of ready meals going on,

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which doesn't help the diet.

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Any excuse.

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If I had all the time in the world, I would exercise a lot more.

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But, you know, there's just work, looking after the house,

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picking the children up from school,

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the usual domestic chores that every mum has.

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So how exactly is Blaine hoping

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that monitoring ourselves can make a difference to our health?

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There's actually only two simple things you have to do.

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One is, you've got to carry around with you a little device here.

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You can stick it in your pocket.

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It'll record how many steps you've taken.

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The other bit of this study is,

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you need to have a smartphone to measure your sleep at night.

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It's going to measure, hopefully, how deeply you're sleeping,

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how well you're sleeping.

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It'll measure the time you go to bed and wake up.

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So what you'll do is get an email every day from me

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with a summary of your performance during the past day,

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how it compares with the past week,

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and also how you compare with the rest of the group.

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The hope is

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that by simply measuring the number of steps we take every day,

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we can set ourselves targets and get motivated to do more.

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And by keeping tabs on our sleep,

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we can find out what helps us sleep better.

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I'm hoping that it's going to give me a better understanding

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of what you actually do have to do to kick-start a healthier life,

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to burn more calories, to perhaps have a better night's sleep.

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I don't have a particularly healthy lifestyle

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because I don't do exercise.

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I'm not aware of my health, shall we say.

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I don't know what my blood pressure is.

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My sleep pattern these days, as I've got older, is not good.

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I'm hoping it's going to give me the enthusiasm to do some exercise

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because quite honestly, I find exercise boring!

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Every day for the next three weeks, each of us is going

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to be bombarded with numbers - how much we've slept,

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how deeply we slept, how many steps we've taken, when we took them.

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The question is whether simply seeing those numbers

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will be enough to make us change.

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But there are people who already use self-monitoring

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to alter their health and fitness in a fundamental way.

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This is Twickenham, the home of rugby,

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and I'm here to join the England Rugby 7s team while they train.

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So if you go along it gives you

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pretty much everything you could want.

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'Brett Davison is the team's Head of Physical Performance.'

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..zones which we would have to specify.

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'His players are amongst the most

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'closely monitored people in the world.'

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So they've got on a little GPS unit that sits in a little

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neoprene pocket on their jersey between their shoulder blades.

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There we go.

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And then they've got a heart-rate strap on,

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those two coordinate between each other

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and then the information comes straight back to us.

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'Now, I'm a doctor.

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'I'm used to examining people,

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'and looking for the subtle signs of illness and injury.

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'And as far as I'm concerned this international rugby team

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'looks more than match ready.

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'But Brett sees a lot more than I can without even

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'glancing at the players.

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'He does it simply by looking at a screen full of numbers.'

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Run me through what you've got here.

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OK, there's obviously speed -

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your current, your average and you maximum.

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Heart rate, exactly the same.

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Distance, so that's for the whole training session.

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Dynamic stress load, number of accelerations, decelerations.

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High speed running is the number of metres they've run,

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maximum speed.

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'All those numbers help Brett

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'detect problems well before any doctor could.'

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You can see the injuries in terms of their speed

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or their lack of, usually.

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Um, and certainly their running intensity will be off

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what we know it could be for that particular individual.

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This is Geoff's trace and at the moment

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he's at 18-odd kilometres per hour,

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which is not very fast for these guys.

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So you can certainly start to see where somebody's struggling.

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'And the information Brett gathers turns out to be an incredibly

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'sensitive indicator of injury.'

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It picks up their step balance, their left-right step balance,

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uh, through the, accelerometer.

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So, we can tell how badly somebody's limping,

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or how much they might be favouring a leg.

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And this lad got hit on the knee.

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And the difference between his left and his right is about

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one and a half per cent.

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So, although it's a really subtle change, one and a half per cent

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off his top speed, because he's limping a little bit,

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could be the difference between a try or no try.

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'Since he started monitoring his players this intensely,

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'Brett has found that their soft-tissue injuries have fallen

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'by a stunning 80%.

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'He's stopping injuries before they arise.

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'To Brett, it's become something of a crystal ball,

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'allowing him to see into the players' futures.'

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If they've had a bad night's sleep, their heart rate will show it.

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If they're getting ill and they don't know they're getting ill yet,

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usually their heart rate will show it for us as well.

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So from that point of view,

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sometimes we know things about them that they don't know yet.

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So you can tell that someone's ill

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before they themselves are conscious of the fact that they're ill?

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It hasn't failed us yet, where we've seen data

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and we haven't reacted to it, and literally the player has

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woken up the next day and said, "I'm crook, I can't train."

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And we've been a bit upset that we haven't acted on it.

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But we generally pick up illness

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24 hours before they might start to feel ill.

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You must have found that remarkable when you first realised.

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Yeah. For a while we literally were looking at it, going, "That can't be right. That can't be right."

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And we looked at it for a long time, and then started acting on it.

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And then, the results started proving it, you know.

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Your body's not going to lie. You might, but your body's not.

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'Imagine if we could all see what lay ahead.

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'Imagine if we all knew what was coming before it arrived.'

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It's remarkable, to see illness and injury

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before the players themselves were conscience of it.

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Because that in medicine is essentially what we strive for.

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To be able to see the storm before it's arrived,

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in the hope that we might navigate safely through it.

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Or perhaps even avoid it altogether.

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Here we go, then. See if this works.

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Our volunteers are a few days into

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seeing what self-monitoring might do for them.

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We'd better give this gadget a go, then.

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When it comes to counting steps,

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the recommended daily goal in order to keep fit and healthy is 10,000.

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All the way up, all the way down!

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But as the numbers start coming in there's a bit of a surprise.

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I've been looking, just to see how many steps I'm doing,

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and I'm really shocked, cos I really don't even break 5,000 sometimes,

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and I'm supposed to be doing at least 10,000.

0:19:270:19:30

It's really hard.

0:19:300:19:32

So today I've been to boot camp and I've really got to up my game.

0:19:320:19:36

The step logging's come as a bit of a surprise really.

0:19:440:19:47

I thought I was quite active and thought I moved round a lot,

0:19:470:19:50

but it's quite a bit lower than I expected it to be,

0:19:500:19:55

and I'm going to have to rely on dancing to boost that count.

0:19:550:19:59

It's been difficult to find enough time to fit in the extra exercise.

0:20:040:20:10

Jess, this way.

0:20:100:20:11

'Mainly through walking,

0:20:110:20:13

'but anyway we'll see how we get on.'

0:20:130:20:16

And, despite the fact that I've come to sunny California,

0:20:230:20:27

I'm not finding it any easier.

0:20:270:20:29

This is harder than I remember it being. I haven't done it in a while.

0:20:330:20:37

I've never really felt the need to pull on a pair of trainers

0:20:390:20:41

and jog up and down a beach.

0:20:410:20:43

But it's different when you're confronted with

0:20:430:20:46

cold, hard numbers telling you exactly how lazy you're being.

0:20:460:20:50

So I've had this now for about a week,

0:20:510:20:53

and I didn't really think it was going to change the way

0:20:530:20:56

I looked at what I did and didn't do, but it really has.

0:20:560:21:00

It does make you more competitive, even if that's only with yourself.

0:21:000:21:05

I know that I've done 3,000 steps today,

0:21:050:21:07

I know that this beach is worth another 500, and I know that

0:21:070:21:10

the difference between exercise and no exercise is a pile of numbers

0:21:100:21:14

that will appear on my computer tonight

0:21:140:21:16

and tell me how hard I've worked.

0:21:160:21:18

So I guess it's probably time I got a bit more

0:21:180:21:21

serious about all of this.

0:21:210:21:22

Because the fact is, at the moment, I'm not working nearly hard enough.

0:21:250:21:30

'I'm not here just to run in the sunshine.

0:21:360:21:38

'I've got an appointment to see the doctor.'

0:21:390:21:42

-Hello.

-Good morning.

-I'm here to see Dr Topol.

0:21:420:21:44

-Go ahead and have a seat, he'll be with you shortly.

-Thank you very much.

-You're welcome.

0:21:440:21:49

'Californians are famously obsessed with looking and feeling great.

0:21:490:21:54

'So it's a natural home for some of the pioneers of the self-monitoring movement.'

0:21:540:22:00

I've seen a lot of waiting rooms,

0:22:000:22:02

and this one is pretty typical, pretty average, but the doctor

0:22:020:22:06

I'm about to see, his approach to medicine is anything but.

0:22:060:22:10

-Kevin Fong, Dr Topol will see you now.

-Thank you.

0:22:100:22:14

'Normally, you expect a visit to the doctor to end with

0:22:140:22:17

'a prescription for pills.

0:22:170:22:19

'But the doctor I'm going to see is much more interested

0:22:200:22:23

'in fixing his patients by getting them to monitor themselves.

0:22:230:22:27

'Dr Topol is a cardiologist.'

0:22:280:22:31

-So let me go ahead and start off, we'll do a cardiogram, OK?

-OK.

0:22:310:22:34

I've got my phone here.

0:22:340:22:37

'I've never seen any doctor check for the signs of a heart attack

0:22:370:22:40

'with little more than their phone.'

0:22:400:22:42

Put your fingers on that, and then just make a circuit with your heart.

0:22:420:22:47

So we'll look at this together, OK, and that's your cardiogram.

0:22:470:22:52

I find it incredible that you can do that degree of monitoring.

0:22:520:22:55

Normally when I'm doing that in a hospital I wheel this sort of

0:22:550:22:58

R2D2-looking thing into the side of the bed and it takes about

0:22:580:23:03

10 minutes to hook up to someone.

0:23:030:23:05

That feels very Star Trek to me. I mean, I...

0:23:050:23:09

You're easily impressed, this is nothing.

0:23:090:23:12

'Whatever's wrong with you, Dr Topol will try and find

0:23:120:23:15

'a gadget to help, so that you can look after yourself at home.

0:23:150:23:19

'He even uses some of them himself.'

0:23:190:23:21

Here's a sensor.

0:23:210:23:23

'He's wearing a sensor like this, with a hair-thin micro-needle that

0:23:230:23:27

'implants under the skin, giving constant blood-glucose readings.'

0:23:270:23:31

I have this on and I can monitor my glucose every minute.

0:23:320:23:36

So right now my glucose is 91, OK, and I can see what it's been doing

0:23:360:23:42

in the last several hours, and every minute it will update.

0:23:420:23:47

For the huge number of people who suffer with diabetes, this is...

0:23:470:23:52

revelatory, because until now they've had to prick their fingers.

0:23:520:23:56

Oh, no, the finger stick could be history.

0:23:560:23:58

When you have this on...

0:23:580:23:59

The average person looks at their phone 150 times a day.

0:23:590:24:03

So now you got your phone, and you're looking at it, you say,

0:24:030:24:06

"Am I going to eat that cookie, am I going to eat that piece of cake?

0:24:060:24:09

"Cos if I eat that my glucose is going to shoot up to 160, 180."

0:24:090:24:13

And you start to realise exactly how your body is responding to food,

0:24:130:24:18

to portions, to exercise.

0:24:180:24:20

It really changes your lifestyle, it did me at least.

0:24:200:24:23

So you're prescribing...apps?

0:24:230:24:26

You name the condition, er, heart rhythm problem,

0:24:260:24:30

we get the condition, the apps to match up with your phone,

0:24:300:24:33

and that's how you monitor yourself.

0:24:330:24:37

Medicine is truly unplugged now,

0:24:370:24:38

and it's going to change everything we do in healthcare.

0:24:380:24:42

Because now all the information is going directly to the patient,

0:24:420:24:46

not to the doctor.

0:24:460:24:48

And it's more information than we ever had before.

0:24:480:24:51

'After visiting the doctor in the future,

0:24:560:24:58

'rather than leaving with pills, we'll leave with something

0:24:580:25:01

'far more important - information that's impossible to hide from.'

0:25:010:25:06

The whole opportunity to know everything about the medical essence

0:25:100:25:14

of each person is pretty remarkable.

0:25:140:25:16

To me at least, a student of medicine for three decades,

0:25:160:25:20

this is the biggest shake-up in the history of medicine by far.

0:25:200:25:24

'With all this information, Eric hopes we'll be able to spot

0:25:240:25:27

'even the most serious problems before it's too late.'

0:25:270:25:31

To be able to prevent a heart attack with this type of, er,

0:25:320:25:35

information, that to me is the most exciting thing.

0:25:350:25:38

And I do believe that they will be, if not fully preventable,

0:25:380:25:41

awfully darn close.

0:25:410:25:43

We could stamp out something like asthma attacks.

0:25:430:25:46

You can pick up, er, pollen count, air quality

0:25:460:25:49

and how the chest is moving long before the person feels

0:25:490:25:52

a wheeze or is having difficulty breathing.

0:25:520:25:55

What do you think is going to turn up in the next ten years or so

0:25:550:25:58

that people will think,

0:25:580:25:59

"I never would've imagined that medicine would look like this"?

0:25:590:26:02

For the person who really has a significant illness or risk of one,

0:26:020:26:07

putting in a tiniest implant, smaller than a grain of sand, that

0:26:070:26:11

essentially carries no risk, will be commonplace. Er, little microchips.

0:26:110:26:16

We have 'em in our pets to keep track of where they are.

0:26:160:26:19

Why don't we have 'em in our people to prevent illness?

0:26:190:26:22

You know, it's startling to hear the way that Eric talks,

0:26:320:26:36

to see the things that he's doing.

0:26:360:26:38

He pretty much prescribes apps

0:26:380:26:40

the way my colleagues would prescribe drugs.

0:26:400:26:44

And that right there is an example of how

0:26:440:26:47

we're leaving behind what he would call the old medicine,

0:26:470:26:50

how we're finally dragging the field of medicine into the digital age.

0:26:500:26:56

And if it works the way that he says it will,

0:26:560:26:59

then it has the potential to change everything,

0:26:590:27:02

it has the potential to be truly, truly transformative.

0:27:020:27:06

These days, we can monitor one of the most fundamental

0:27:210:27:24

but usually unseen aspects of our lives - something that affects

0:27:240:27:30

our physical and mental wellbeing, and even how long we might live.

0:27:300:27:35

Our pattern of sleep.

0:27:360:27:38

First night in the United States

0:27:410:27:44

and I'm going to give Blaine's sleep app a go.

0:27:440:27:47

Apparently all I have to do is press that button,

0:27:470:27:51

stick it on the end of my bed

0:27:510:27:53

and it's going to tell me how I slept, so let's give it a go.

0:27:530:27:57

Every twist or turn is monitored

0:28:020:28:04

by a finely calibrated sensor in the phone

0:28:040:28:07

which measures tiny ripples in the mattress as I move.

0:28:070:28:10

It should allow me to see if anything affects my sleep.

0:28:100:28:13

Across the Atlantic,

0:28:170:28:18

Celia is carrying out her own sleep experiment.

0:28:180:28:21

Tonight I have had too much to drink, um, more than

0:28:230:28:28

I've had to drink for quite a while...

0:28:280:28:30

..and, yes, I am feeling...worse for wear.

0:28:320:28:36

So I'm going to record my sleep tonight to see what happens.

0:28:360:28:40

Every night, each of us will produce a graph detailing our sleep.

0:28:420:28:46

RADIO: John Tamm in the morning on San Diego's number one

0:28:480:28:51

for new country, KSON.

0:28:510:28:52

It's another sunny day here in San Diego.

0:28:520:28:55

HE TURNS RADIO OFF

0:28:550:28:57

Well, let's see what the phone's going to tell me about last night.

0:28:570:29:00

So there's the graph of my sleep, light sleep right up

0:29:020:29:05

there at the top, it says deep sleep at the bottom.

0:29:050:29:08

These mountainous looking peaks here are where I was wriggling around.

0:29:080:29:14

And overall it says that I slept for 8 hours,

0:29:140:29:18

and about 64% of that was deep sleep.

0:29:180:29:21

Who ever thought that phones were going to tell us

0:29:210:29:23

about how well we were sleeping?

0:29:230:29:25

After three weeks of monitoring our sleep, we should all be able to find

0:29:290:29:33

out what affects it - and change our lifestyles to help us get a better night's sleep.

0:29:330:29:38

But self-monitoring might do much more than just change our habits and behaviour.

0:29:430:29:48

We've all worried at some point about what nasty surprises

0:29:490:29:52

might be lurking inside our bodies, what might be going wrong,

0:29:520:29:56

without us even knowing.

0:29:560:29:57

By monitoring ourselves, we can find out,

0:29:590:30:02

and potentially do something about it.

0:30:020:30:04

This is the house of probably the most monitored man in the world.

0:30:100:30:15

He monitors himself - he monitors everything about himself.

0:30:150:30:19

And I really do mean everything.

0:30:200:30:22

But by monitoring himself so much,

0:30:230:30:25

he discovered a potentially fatal condition.

0:30:250:30:28

DOORBELL RINGS

0:30:280:30:31

-Larry, I'm Kevin Fong, nice to meet you.

-Good to meet you. Come on in.

0:30:340:30:37

Larry Smarr is one of the most influential computer scientists in the United States.

0:30:370:30:43

He was instrumental in developing networked computers -

0:30:430:30:46

the predecessors of the internet.

0:30:460:30:49

Today, he's putting all his talent into monitoring himself.

0:30:490:30:53

Larry just give me a shopping list of what you monitor about yourself?

0:30:530:30:56

Well, I monitor my weight.

0:30:560:30:59

I monitor my steps and caloric burn with my Fitbit.

0:30:590:31:03

I monitor my sleep every night.

0:31:030:31:05

Urine, saliva, blood, I monitor stool, actually...

0:31:050:31:08

You even go so far as to monitor your own stools?

0:31:080:31:12

Yes. I mean that's by far the most important part of what I've done.

0:31:120:31:18

There is such a thing as too much information, surely?

0:31:180:31:21

No. There is never too much information.

0:31:210:31:24

It is a challenge to...

0:31:240:31:26

to turn that information into understanding,

0:31:260:31:28

and that's what science is about.

0:31:280:31:30

-Am I missing out?

-You are.

0:31:300:31:31

We produce stool every day, everybody on Earth does,

0:31:310:31:37

and it has this incredible information about the state

0:31:370:31:40

of your health and we just flush it away.

0:31:400:31:43

It's relatively challenging things to do, to monitor,

0:31:430:31:47

you know, that element of your life - I mean how do you do that?

0:31:470:31:52

Let me just show you.

0:31:520:31:55

The point is you have to freeze it.

0:31:550:31:58

And I do it every two weeks so I'm going a very fine timescale.

0:31:580:32:02

And so it's just sitting here in the freezer.

0:32:030:32:07

So each of these is labelled.

0:32:080:32:11

That one's February 23rd,

0:32:110:32:14

this one is, this one here is January 26th.

0:32:140:32:19

This is just in the freezer in your kitchen,

0:32:190:32:21

it's not even a separate freezer?

0:32:210:32:23

Well, it's getting to the point now that I've got enough of them

0:32:230:32:26

that I'll take them to the medical school.

0:32:260:32:28

You just Fedex them, and it's overnight delivery,

0:32:280:32:32

and then 2 weeks later I get back all this data.

0:32:320:32:35

I sort of had it in my mind that you'd have

0:32:350:32:37

some special freezer in your garage or something.

0:32:370:32:40

Well, my wife probably thinks I should but she's very understanding.

0:32:400:32:45

At his laboratory, Larry has put all his information together.

0:32:490:32:52

So I was wondering how on earth you were represent

0:32:520:32:56

all of the data that you collect about yourself.

0:32:560:32:59

'Over the years, he's gathered billions of different measurements about his body.'

0:32:590:33:03

From his enzymes to his proteins, his minerals

0:33:070:33:11

to his microbes, nothing goes undetected.

0:33:110:33:15

And this display shows just a tiny fraction of them.

0:33:150:33:20

-These are 150 different variables over either 5 or 10 years.

-On you?

0:33:200:33:25

Just on me. Here's my cholesterol variables, my magnesium.

0:33:250:33:30

Phosphorous, sodium, thallium, stuff I've never heard of.

0:33:300:33:34

You're measuring stuff that I've I don't even know how to pronounce.

0:33:340:33:37

Yup, all of the things that your doctor tells you to measure

0:33:370:33:41

and a lot of others.

0:33:410:33:42

'With this information, Larry has a warning system in place,'

0:33:420:33:47

'in case anything goes wrong inside his body.'

0:33:470:33:50

The colour coding is that if they're in the green they're healthy,

0:33:500:33:53

but if they're in the orange,

0:33:530:33:55

that means you're 1-10 times above the upper limit for healthy.

0:33:550:34:00

I look at this and I say, "Look at all that green I must be pretty healthy."

0:34:000:34:04

But a few years ago, he noticed something was wrong.

0:34:070:34:10

I said, "What's this thing up here that is red"

0:34:120:34:16

"that is spiking up to 30 times the upper limit? And this one down here

0:34:160:34:20

that's purple, that's 125 times the healthy limit."

0:34:200:34:25

Some of the measures of information in Larry's bloodstream

0:34:250:34:29

had shot to worryingly high levels.

0:34:290:34:32

Lactoferrin is supposed to be less than 7,

0:34:340:34:37

and this is 899, 125 times the upper limit.

0:34:370:34:42

So far off scale that you don't have to be a doctor to know that

0:34:440:34:47

something's going wrong.

0:34:470:34:48

Terribly wrong.

0:34:480:34:49

So you look up Google

0:34:490:34:52

and within an hour you can find 5 or 6 peer reviewed papers that say

0:34:520:34:56

if you have a value of this variable at these numbers,

0:34:560:35:00

say 750 to 1,000, you have a chronic incurable disease.

0:35:000:35:05

He'd discovered that he had Crohn's disease - a serious disorder of the intestine.

0:35:070:35:12

You must've been terrified by this surely?

0:35:130:35:16

I'm a scientist,

0:35:160:35:18

so the way you fight that feeling is get more knowledge.

0:35:180:35:22

With the knowledge he'd gathered, Larry was able to

0:35:220:35:25

diagnose his disease at the earliest possible opportunity.

0:35:250:35:29

He believes that soon,

0:35:310:35:32

we'll all be able to monitor ourselves like he does.

0:35:320:35:35

In a world in which you can see what you're doing to yourself

0:35:380:35:41

as you go along, the hope is that people will take more personal

0:35:410:35:45

responsibility for themselves, in keeping themselves healthy.

0:35:450:35:49

So it's like we're almost at Day Zero of a whole new

0:35:490:35:53

world of medicine.

0:35:530:35:54

And what will come out the other end,

0:35:540:35:56

is a far healthier society that's focused on wellness,

0:35:560:35:59

rather than trying to fix sickness when it's way too late.

0:35:590:36:03

Larry's providing a new self-awareness that would

0:36:120:36:15

lead to a new kind of preventative medicine, one that doesn't depend

0:36:150:36:20

on vaccination, or programmes of public health, but instead on data.

0:36:200:36:25

And in that, I think he really might be onto something.

0:36:270:36:30

We're one week into Blaine's experiment.

0:36:370:36:40

When we started, I think we were all a bit surprised at how hard

0:36:420:36:46

it was to reach the recommended daily level of 10,000 steps.

0:36:460:36:50

So how's everyone doing now?

0:36:510:36:54

Who's that there? That red bar is Celia.

0:36:540:36:57

Upping her game.

0:36:580:37:00

Getting over 15,000 steps on a couple of days

0:37:000:37:02

which is pretty impressive.

0:37:020:37:03

It does kind of give it all that competitive edge.

0:37:030:37:07

'Our little experiment seems to have got rather serious.'

0:37:080:37:11

-PHONE RINGS

-Well, it's ringing.

0:37:110:37:15

-Hello!

-ALL: Hello!

0:37:150:37:17

How's it all going?

0:37:170:37:19

Well, we're a bit concerned about how well you did.

0:37:190:37:23

Last Monday, you seemed to put on a good spurt.

0:37:230:37:26

I did do a bit of running that day, I have to say.

0:37:260:37:29

But I see, Celia, you did a couple of days over 15,000 steps.

0:37:290:37:32

I have, yes, and I'm definitely making sure that

0:37:320:37:37

I walk places that I wouldn't normally do

0:37:370:37:39

and it's been going really well.

0:37:390:37:42

Celia is winning. She's beating all of us.

0:37:420:37:45

Yeah, what are you going to do about that, Cathy?

0:37:450:37:48

I've been going to boot camp,

0:37:480:37:50

but my step count is a bit disappointing, I'm afraid.

0:37:500:37:54

So I'm having to do a run after boot camp,

0:37:540:37:57

but, having said that,

0:37:570:37:58

my steps are still nowhere near as much as yours and Celia,

0:37:580:38:01

I'm very upset.

0:38:010:38:03

-How's it been going with you, Pam?

-I've been doing a lot more walking,

0:38:030:38:06

and, er...

0:38:060:38:08

going the long way round to make the tea and the coffee.

0:38:080:38:12

I'm a little bit concerned, because I didn't think

0:38:120:38:14

we'd be taking this quite as seriously as we are.

0:38:140:38:17

'Maybe this monitoring really is changing our behaviour.

0:38:170:38:21

'We'll find out in a couple of weeks

0:38:210:38:23

'just how much difference it can make.'

0:38:230:38:25

-See you later, lovely to see you.

-ALL: See you! Bye!

0:38:250:38:27

I'm out running...again.

0:38:330:38:35

It's hard not to when every single day

0:38:370:38:39

you know exactly how many steps you're clocking up.

0:38:390:38:42

But, really, what I'm doing here is one of the more obvious ways

0:38:440:38:47

of monitoring your health.

0:38:470:38:49

When we think about the way that we monitor health,

0:38:530:38:56

we talk about heart rates and blood pressures, or the amount

0:38:560:38:59

of exercise we're doing, or the calories that we've burnt.

0:38:590:39:03

But it turns out you can gain a surprisingly profound

0:39:040:39:07

insight into the state of your health by tracking apparently

0:39:070:39:11

trivial bits of information about your life -

0:39:110:39:14

stuff that until now, we've completely ignored.

0:39:140:39:17

So I'm here to find out how that's done.

0:39:170:39:21

'I've come to the Massachusetts Institute of Technology.

0:39:230:39:28

'I'm here to see how experts can monitor our everyday behaviour and

0:39:280:39:32

'peer into corners of our lives that I never would've thought possible.'

0:39:320:39:36

-So, please have a seat here.

-Thank you.

0:39:360:39:38

'Professor Sandy Pentland believes he can tell not just

0:39:380:39:42

'what's going on in our bodies, but in our minds too.'

0:39:420:39:45

'And he can do it with something that most of us already own -

0:39:460:39:51

'a smartphone.'

0:39:510:39:53

Phones know a lot about your social life, who you call, who you

0:39:530:39:57

communicate with, a lot about your daily activities, where you go.

0:39:570:40:02

And so if you put the two together, you can do things like assess

0:40:020:40:04

mental health, and you can actually get a picture of how you're

0:40:040:40:08

doing constantly, 24/7.

0:40:080:40:10

Sandy was asked to develop an app to help spot signs of depression

0:40:120:40:17

and post-traumatic stress in soldiers returning from war.

0:40:170:40:21

I am curious because I've had your app on my phone for a few

0:40:240:40:27

days now and I'm not entirely sure what it's doing,

0:40:270:40:31

so I'm hoping you can explain.

0:40:310:40:33

OK, well, it kept track of things like your socialisation,

0:40:330:40:38

your focus and your activity levels

0:40:380:40:40

and these are key things for assessing mental health.

0:40:400:40:43

Tell me what you've found out about me.

0:40:430:40:45

Well, let's look at it here

0:40:450:40:47

and see what you've been doing and then what it's been doing.

0:40:470:40:52

So, first of all, we can see your activity level - are you

0:40:520:40:56

curled in a ball some place and you never get out of your bed, or

0:40:560:40:59

are you out and around, or are you sort of manic and you're everywhere?

0:40:590:41:03

So you see a five over on the left-hand side,

0:41:030:41:06

that's how active you've been, and on the right is

0:41:060:41:09

the average, so you're just exactly average when it comes to activity.

0:41:090:41:14

A drop in physical activity often goes hand in hand with depression.

0:41:170:41:22

But Sandy can track much more.

0:41:230:41:25

By monitoring my phone use,

0:41:260:41:28

he can also tell how I'm interacting socially.

0:41:280:41:32

Do you call your friends?

0:41:330:41:35

Do you call workmates, things like that?

0:41:350:41:38

Phones can also sense when there's other people around

0:41:380:41:40

because they have these little short range radios called Bluetooth.

0:41:400:41:43

And so my phone can see your phone, and they can shake hands.

0:41:430:41:47

And if we go over here, to Social,

0:41:470:41:51

you'll see that you're quite a bit more social than other people.

0:41:510:41:54

So you're good to go here, this is good.

0:41:540:41:58

And then if we go down here, this is Focus and you can see that

0:41:580:42:03

you're a little bit more focused than the average person.

0:42:030:42:07

But how does it know about my focus? What do you mean by that?

0:42:070:42:10

We all know what happens when you're not focused.

0:42:100:42:12

One of the things that people do is that they fuss with their phone,

0:42:120:42:16

they look at their messages, they read news, they...you know,

0:42:160:42:19

so you can get a sense of whether you're focused

0:42:190:42:22

or whether you're distracted all the time.

0:42:220:42:25

Though it seems astonishing that the way you use your phone

0:42:280:42:31

could give an insight into your state of mind, trials of Sandy's app

0:42:310:42:35

have demonstrated its success when compared with a doctor.

0:42:350:42:39

Sandy's convinced that mobile phones might have a huge role

0:42:400:42:44

to play in keeping us healthy.

0:42:440:42:46

In fact, he believes they might even be able to prevent

0:42:470:42:50

the spread of diseases that affect millions.

0:42:500:42:54

It turns out that when people get the flu they behave differently.

0:42:580:43:02

They begin to retract a little bit, they don't feel so good,

0:43:020:43:05

they call different people, they tend to call their friends

0:43:050:43:08

more than their workmates, things like that.

0:43:080:43:11

And it's actually a signature that you can detect

0:43:110:43:13

with about 80% accuracy.

0:43:130:43:15

So I could see when you look like you're getting the flu

0:43:180:43:21

and I can see that somebody else is not getting the flu...

0:43:210:43:25

..and then I can see that the two of you spent some time together...

0:43:270:43:30

..and they began to get

0:43:320:43:33

flu behaviour, which tells me that you infected them at that meeting.

0:43:330:43:39

And, of course, normal flu is not that bad

0:43:390:43:42

but every once in a while we get these pandemics that kill

0:43:420:43:45

literally hundreds of millions of people

0:43:450:43:47

and we're defenceless against it.

0:43:470:43:48

This is a startling thing - the idea that you might track the

0:43:480:43:51

spread of a pandemic by something other than taking blood tests from

0:43:510:43:55

people or saliva samples, or them going and seeing their physician.

0:43:550:43:59

It's a rather amazing thing that you could actually watch

0:43:590:44:03

the progress of the disease...

0:44:030:44:05

..because then you could actually do something about it.

0:44:070:44:09

You could say, "OK, people in this neighbourhood

0:44:120:44:14

"don't go to work today."

0:44:140:44:16

Or, "Don't go to this cafeteria."

0:44:170:44:20

Or whatever sort of intervention you want.

0:44:200:44:23

But you could actually begin stopping it.

0:44:240:44:27

But to bring about this game-changing shift in health care,

0:44:380:44:41

we'll need to give up our most personal information

0:44:410:44:45

to people who can mine it and spot the patterns within.

0:44:450:44:49

And, understandably, not everyone will be comfortable with that.

0:44:490:44:54

The world is now full of people with their mobile phones

0:44:560:44:59

and their mobile devices streaming terabytes of information

0:44:590:45:03

about their habits and their daily lives. And I completely

0:45:030:45:07

understand the unease that people feel about giving

0:45:070:45:10

that information up to others.

0:45:100:45:13

But, in medicine, that's all we've ever done.

0:45:130:45:17

We've gone to doctors, strangers, and we've told them

0:45:170:45:21

those intimate details in the hope that they might bring us help.

0:45:210:45:26

And in a sense, that's what Sandy Pentland and people like him

0:45:280:45:33

are trying to do, just taking that model and dragging it into

0:45:330:45:37

the 21st century in the hope that will change the face of medicine.

0:45:370:45:42

Over the last couple of weeks, I've become increasingly

0:45:500:45:53

obsessed about monitoring myself.

0:45:530:45:55

But I'm starting to realise that there's much more to this

0:45:560:45:59

than just doing more exercise.

0:45:590:46:02

By monitoring ourselves and pooling that information,

0:46:030:46:07

we could unearth knowledge

0:46:070:46:09

that would revolutionise the way we practise medicine.

0:46:090:46:12

We could share our data and begin to look for patterns that unlock

0:46:140:46:18

the secrets of human health.

0:46:180:46:21

I've come to a small town in Florida

0:46:310:46:34

to meet someone who's looking for those patterns,

0:46:340:46:37

and who's moving forwards at a pace that seems barely believable.

0:46:370:46:41

So far, we've had a hint of the shape of things to come

0:46:460:46:49

for the future of medicine.

0:46:490:46:51

But the girl I'm about to talk to IS the future of medicine,

0:46:520:46:56

and, incredibly, she doesn't have a medical degree.

0:46:560:46:59

In fact, she doesn't have a degree at all

0:46:590:47:02

and that's because she's still at school.

0:47:020:47:05

I mean, I think it's exciting that as a teenager I've been

0:47:100:47:12

able to find something

0:47:120:47:14

I'm so passionate about that I want to spend my weekends working.

0:47:140:47:17

'What sets Brittany Wenger apart are her computer-coding skills.'

0:47:170:47:22

There is a community of us out there who are really interested

0:47:220:47:25

in science and through the different kind of science competitions...

0:47:250:47:29

'She recently won the prestigious Google Science Fair

0:47:290:47:31

'for a computer program she's written.'

0:47:310:47:33

I think I'd always had a pretty keen interest in computers but then

0:47:330:47:37

in seventh grade I was taking this course on futuristic thinking.

0:47:370:47:40

In seventh grade... How old were you in seventh grade?

0:47:400:47:42

-So that would be about 11 or 12.

-Right.

0:47:420:47:45

And I came across a concept that computers could actually be

0:47:450:47:47

programmed to transcend human knowledge and to detect

0:47:470:47:51

really complicated patterns that humans have no idea how to detect.

0:47:510:47:55

So I was enthralled and I went home, I started buying coding books

0:47:550:47:58

and I decided to teach myself how to code.

0:47:580:48:01

'What happened next was a family tragedy that inspired

0:48:010:48:05

'Brittany to do something remarkable.'

0:48:050:48:07

I was 15, my cousin was actually diagnosed with breast cancer

0:48:080:48:11

and I saw first-hand the kind of impact this disease

0:48:110:48:14

has on a woman and her family.

0:48:140:48:15

So I got really inspired to get involved and make a difference

0:48:150:48:18

and I started researching breast cancer.

0:48:180:48:20

And so that's when I really wanted to connect my two passions

0:48:200:48:23

and try to create a better breast cancer diagnostic system.

0:48:230:48:26

'And she's written this program in her spare time.'

0:48:260:48:31

'Looking at a biopsy of human tissue to determine

0:48:390:48:42

'whether it's cancerous or not is a notoriously difficult thing to do.'

0:48:420:48:46

'Brittany's program is designed to help doctors

0:48:480:48:51

'to analyse what they're seeing.'

0:48:510:48:53

So, for example, see these nucleoli, they're the small dots.

0:48:530:48:57

The small dots, right.

0:48:570:48:59

They're really prominent and there are multiple ones per cell.

0:48:590:49:02

And that could mean that the mass is cancerous.

0:49:020:49:04

But that is actually benign.

0:49:040:49:06

And this is just an example of why they are

0:49:060:49:08

so difficult to diagnose, because even this benign mass is

0:49:080:49:12

exhibiting some cancerous attributes.

0:49:120:49:14

I have horrible nightmares of spending hours staring at these

0:49:140:49:18

slides at medical school, trying to decide whether it was cancer or not.

0:49:180:49:24

And it just seemed nearly impossible to me.

0:49:240:49:28

I mean, this is a tough task.

0:49:280:49:30

'It's an incredibly difficult task,

0:49:300:49:33

'for which Brittany has found a solution.'

0:49:330:49:36

So what I did is I created an artificial neural network

0:49:360:49:38

which is this really cool type of program that can

0:49:380:49:40

model a brain's neurons and their interconnections, so it can actually

0:49:400:49:44

learn how to detect patterns that humans have no idea how to detect.

0:49:440:49:48

And in the end it learns how to detect

0:49:480:49:50

whether these masses are cancerous or not.

0:49:500:49:54

So your computer knows how to do this?

0:49:540:49:57

Yes. It actually diagnoses over 99% of cancer patients correctly,

0:49:570:50:02

which is huge.

0:50:020:50:04

Yes, so 99% of the time it will pick it up?

0:50:040:50:07

Yes, which... It's exciting when you think about it.

0:50:070:50:11

Er, it's more than exciting.

0:50:110:50:14

'Brittany's program effectively turns a doctor's hunch about

0:50:140:50:17

'whether a biopsy is cancerous into something far more scientific.'

0:50:170:50:23

So what this does is provides a set of nine pretty objective

0:50:230:50:27

questions about what they're seeing on the screen in front of them,

0:50:270:50:30

and then feeds that quite complicated set of information

0:50:300:50:36

to your program which then instantly decides cancer or not cancer?

0:50:360:50:41

Yeah, exactly.

0:50:410:50:42

It's able to detect patterns in this scoring system that are too

0:50:420:50:46

subtle for humans to detect.

0:50:460:50:49

So doctors enter these different values,

0:50:490:50:51

and then they would click send, and in under a second,

0:50:510:50:54

the service is able to respond

0:50:540:50:56

as to whether it thinks it's cancerous or not,

0:50:560:50:58

and so this particular mass would be cancerous.

0:50:580:51:01

Wow! That's gobsmacking. I mean, absolutely gobsmacking!

0:51:010:51:06

I feel like I've had a glimpse of the future -

0:51:110:51:14

a sense of the great prizes we might

0:51:140:51:17

find in the huge volumes of data

0:51:170:51:20

that monitoring our bodies can give us.

0:51:200:51:24

I've come back to the UK...

0:51:330:51:34

..and to the information that could change our lives today.

0:51:370:51:41

'Three weeks ago, I began an experiment in self-monitoring.'

0:51:490:51:52

-Hello!

-Hi, Kevin.

-Hi!

0:51:520:51:56

'Celia, Cathy, Pam, and I wanted to see if anyone could get healthier,

0:51:560:52:01

'lose weight, or find out how to sleep better.

0:52:010:52:05

'Now it's time to see if anything has changed.'

0:52:050:52:08

And what have you found out about us then?

0:52:080:52:10

Well, quite a few interesting things.

0:52:100:52:12

I know when everyone goes to bed, when everyone wakes up,

0:52:120:52:14

where they go every day, erm...

0:52:140:52:17

how much sleep they get, how much deep sleep -

0:52:170:52:19

pretty much everything.

0:52:190:52:21

And, in fact, Kevin, you had the lowest average sleep of everyone.

0:52:210:52:25

I think it must be medical training that did that.

0:52:250:52:29

So, my average sleep was what sort of hours?

0:52:290:52:33

About 6.7 hours a night.

0:52:330:52:35

It's well below what people generally believe is normal.

0:52:350:52:38

And, Cathy, you were the most consistent of all because,

0:52:380:52:41

as you can see, you were just under eight hours.

0:52:410:52:43

You're about 7.8 every night.

0:52:430:52:45

And Pam had the highest average. You have over eight hours a night,

0:52:450:52:49

and that is fairly consistent.

0:52:490:52:51

I think I'm sleeping better than I used to.

0:52:510:52:54

My sleep pattern was really, really bad.

0:52:540:52:57

And I do think I have slept better with the extra exercise.

0:52:570:53:02

The peaks on Pam's sleep graphs tell us

0:53:040:53:07

when she was awake or sleeping lightly.

0:53:070:53:09

The troughs show when she was sleeping deeply.

0:53:100:53:14

With graphs from every night,

0:53:150:53:17

there's the potential to find out how to sleep better.

0:53:170:53:21

It was saying that I was having about an hour of deep sleep

0:53:240:53:27

and I found that slightly concerning because I'm wondering

0:53:270:53:30

whether I need more deep sleep than just that short amount.

0:53:300:53:34

You may only need an hour of deep sleep to feel good.

0:53:340:53:37

You've got to know what's normal for you, and what affects your sleep.

0:53:370:53:40

So did you find anything affected your sleep?

0:53:400:53:42

Well, there was two nights this week when I had one glass of red wine.

0:53:420:53:46

Now, I try not to drink during the week, but up until that point,

0:53:460:53:50

I'd been having round about the hour of deep sleep in a night.

0:53:500:53:55

On those two nights, my deep sleep went down to 36 minutes

0:53:550:53:58

on one night, and 34 minutes on another.

0:53:580:54:01

Perhaps red wine and me don't mix for my deep sleep.

0:54:010:54:04

I realised that even if I have a decaf coffee,

0:54:040:54:07

which I used to have about 9ish, I have a bad sleep,

0:54:070:54:11

so I've knocked that on the head completely now.

0:54:110:54:14

That's one of the incredible benefits of self-monitoring -

0:54:140:54:18

it allows us to learn things about ourselves

0:54:180:54:20

and change our behaviour for the better.

0:54:200:54:23

So did it make a difference to our fitness or even our weight?

0:54:230:54:27

So we've got the daily step count total.

0:54:270:54:31

Everyone started coalescing, actually,

0:54:310:54:33

around a 10,000 step average per day,

0:54:330:54:35

which is what the general guideline is to keep active,

0:54:350:54:39

especially for people in sedentary jobs like us.

0:54:390:54:41

This three weeks has been quite a revelation for me.

0:54:410:54:44

Cos I went out consciously most days to do extra steps.

0:54:440:54:49

You sort of get in this you can't stop

0:54:490:54:51

until you've reached that magic 10,000.

0:54:510:54:54

In a way it's a bit crazy.

0:54:540:54:55

And, Celia, did you ever get to the point of madness with any of this stuff?

0:54:550:54:58

I had got to the point where I would set myself a goal for the day

0:54:580:55:03

and, if I hadn't met it, then I did end up running on the spot

0:55:030:55:07

as I was watching television, or just trying to get those steps up.

0:55:070:55:12

Do you think you've seen improvements in your health

0:55:120:55:15

other than just doing a whole bunch of steps?

0:55:150:55:17

We've all lost weight doing the challenge so that's a good thing.

0:55:170:55:20

I lost about four pounds.

0:55:200:55:21

I lost four and a half, so...

0:55:210:55:23

I lost two and a half so the extra exercise does pay off.

0:55:230:55:27

I did very little before.

0:55:270:55:29

I'd sit at my desk all day in front of a computer,

0:55:290:55:31

I didn't walk the dog that often.

0:55:310:55:33

Now I go home from work and I'm out there walking the dog.

0:55:330:55:37

Same as Pam. We're going out for walks, I'm going out for walks in the evening.

0:55:370:55:42

So I am... I have changed and I will continue.

0:55:420:55:44

It's interesting that Cathy, Celia

0:55:460:55:49

and Pam all in their own way managed to change their behaviour.

0:55:490:55:53

They all increased the amount of activity they did.

0:55:530:55:56

And that's more than a bit of fun, that's important

0:55:560:55:59

because, in medicine, if you could prescribe one thing

0:55:590:56:02

that would improve everybody's health,

0:56:020:56:05

then that thing would be exercise.

0:56:050:56:07

Exercise improves your physiology in ways that doctors

0:56:070:56:10

and pills alone never could.

0:56:100:56:13

And so that's what even those simple devices have managed to achieve -

0:56:130:56:17

they've managed to help people change their behaviour in ways

0:56:170:56:22

that were otherwise impossible before.

0:56:220:56:24

Today we all have the capacity to monitor our health.

0:56:290:56:34

The devices we carry already do it without us even noticing.

0:56:340:56:37

And in the data that we gather lies great opportunity.

0:56:390:56:42

But ultimately, it's what we choose to do with that information

0:56:440:56:48

that will make all the difference.

0:56:480:56:50

We stand early in the 21st century,

0:56:540:56:56

looking for the things that will transform medicine in the same way

0:56:560:57:00

that antibiotics and vaccinations did at the start of the 20th.

0:57:000:57:04

But I've become convinced over the last few weeks,

0:57:050:57:08

through everything I've seen,

0:57:080:57:10

that this digital revolution really might achieve that.

0:57:100:57:13

By giving us access to information that we never before had,

0:57:140:57:18

by helping us understand our bodies

0:57:180:57:20

and the consequences of the things we do in our lives,

0:57:200:57:23

I really do think that this might be the key to longer, healthier lives.

0:57:230:57:30

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