Browse content similar to Monitor Me. Check below for episodes and series from the same categories and more!
Line | From | To | |
---|---|---|---|
Do you know how many steps you took today? | 0:00:04 | 0:00:07 | |
How many calories you burned? How many people you met? | 0:00:08 | 0:00:14 | |
Or how many hours you slept? | 0:00:15 | 0:00:17 | |
If you knew these things, it might make you healthier, | 0:00:19 | 0:00:22 | |
or even save your life. | 0:00:22 | 0:00:25 | |
And finding them out is no longer very difficult. | 0:00:25 | 0:00:28 | |
These days, there's almost nothing we can't measure about our lives, | 0:00:32 | 0:00:36 | |
and we can do it with stuff that almost all of us own. | 0:00:36 | 0:00:39 | |
Whether it's apps on our phones or the latest gadgets... | 0:00:41 | 0:00:45 | |
You wear it as a headband, so like this when you're asleep. | 0:00:45 | 0:00:48 | |
..the promise is that our health will be transformed. | 0:00:48 | 0:00:51 | |
We're almost at Day Zero of a whole new world of medicine. | 0:00:51 | 0:00:55 | |
There are now doctors giving out apps | 0:00:57 | 0:00:59 | |
the way they used to prescribe pills or surgery. | 0:00:59 | 0:01:02 | |
That feels very Star Trek to me. | 0:01:04 | 0:01:06 | |
Three volunteers are going to join me | 0:01:07 | 0:01:09 | |
to put this medical revolution to the test. | 0:01:09 | 0:01:11 | |
I've really got to up my game. | 0:01:13 | 0:01:15 | |
These three weeks have been quite a revelation for me. | 0:01:17 | 0:01:20 | |
That's absolutely gobsmacking. | 0:01:20 | 0:01:22 | |
I'm going to find out whether simply monitoring ourselves can change us. | 0:01:23 | 0:01:27 | |
Can this self-monitoring revolution be the key to longer, | 0:01:27 | 0:01:31 | |
healthier lives? | 0:01:31 | 0:01:32 | |
I'm Kevin Fong. | 0:01:48 | 0:01:50 | |
I'm getting ready for a day on the medical frontline. | 0:01:50 | 0:01:53 | |
I'm going to see how fundamental the ability to monitor ourselves is | 0:01:55 | 0:01:59 | |
to saving lives. | 0:01:59 | 0:02:00 | |
So I'm here in the crew room of London's Air Ambulance. | 0:02:02 | 0:02:05 | |
These guys are ready to fly off to the scene of an emergency | 0:02:05 | 0:02:08 | |
at a moment's notice, | 0:02:08 | 0:02:10 | |
and all they're waiting for is for that klaxon to go. | 0:02:10 | 0:02:13 | |
London's air ambulance exists to get medical staff | 0:02:15 | 0:02:18 | |
to the scene of an emergency as fast as possible. | 0:02:18 | 0:02:21 | |
With a senior trauma doctor on board, | 0:02:24 | 0:02:26 | |
they're trained to deal with almost any situation. | 0:02:26 | 0:02:29 | |
The team are expected to be airborne | 0:02:42 | 0:02:44 | |
within four minutes of the klaxon sounding. | 0:02:44 | 0:02:47 | |
There's no room for a film crew aboard, | 0:02:55 | 0:02:57 | |
so I'm going to be on my own with this. | 0:02:57 | 0:03:00 | |
On board are all the tools the team needs to save lives. | 0:03:00 | 0:03:05 | |
They've even performed heart surgery at the roadside. | 0:03:05 | 0:03:08 | |
But in many ways, the most important thing of all on this helicopter | 0:03:08 | 0:03:14 | |
is the monitoring equipment. | 0:03:14 | 0:03:16 | |
If you don't know what's going on inside your patient's body, | 0:03:17 | 0:03:20 | |
you've got no hope of fixing them. | 0:03:20 | 0:03:23 | |
We've been called out to treat someone | 0:03:28 | 0:03:30 | |
who's suffered a severe head injury. | 0:03:30 | 0:03:32 | |
I think I'll just put a few stitches in that first. | 0:03:35 | 0:03:37 | |
As soon as possible, | 0:03:37 | 0:03:38 | |
the patient is hooked up to the team's monitoring equipment. | 0:03:38 | 0:03:42 | |
This is our monitor pack, | 0:03:42 | 0:03:44 | |
and this carries all the vital bits of kits, essentially, | 0:03:44 | 0:03:47 | |
that we use to monitor heart rate, | 0:03:47 | 0:03:49 | |
blood pressure, their oxygen level and the gases that they breathe out. | 0:03:49 | 0:03:53 | |
Essentially, this is a surrogate | 0:03:53 | 0:03:54 | |
for everything in the emergency department. | 0:03:54 | 0:03:57 | |
We can have as much surgical kit as we want, | 0:03:57 | 0:04:00 | |
but it really is essentially useless | 0:04:00 | 0:04:02 | |
if we can't tell what's happening with the patient. | 0:04:02 | 0:04:05 | |
So the team are dealing with quite a serious head injury there. | 0:04:05 | 0:04:09 | |
In addition to delivering a doctor and a paramedic very rapidly, | 0:04:09 | 0:04:13 | |
they're also able to bring with them some quite advanced monitoring, | 0:04:13 | 0:04:16 | |
the sort of thing you could get in an intensive care unit, really, | 0:04:16 | 0:04:19 | |
small enough and portable enough | 0:04:19 | 0:04:21 | |
that they're able to describe that injury in great detail | 0:04:21 | 0:04:25 | |
before they ever get anywhere near the hospital. | 0:04:25 | 0:04:28 | |
Quite simply, | 0:04:28 | 0:04:29 | |
this small box can make the difference between life and death. | 0:04:29 | 0:04:33 | |
The patient's been stabilised. | 0:04:37 | 0:04:40 | |
The team will go with him by ambulance to the nearest hospital. | 0:04:40 | 0:04:44 | |
The crisis is over, and the outlook is positive. | 0:04:54 | 0:04:57 | |
You know, this is much more than just a helicopter, | 0:05:01 | 0:05:04 | |
it's essentially a mobile accident and emergency unit. | 0:05:04 | 0:05:07 | |
And it's possible | 0:05:07 | 0:05:08 | |
only because you can take that incredible suite of monitoring | 0:05:08 | 0:05:11 | |
that you would normally find in a hospital, | 0:05:11 | 0:05:13 | |
shrink it down and stick it in the back of a vehicle like that. | 0:05:13 | 0:05:17 | |
But what if everybody could monitor themselves to the same degree? | 0:05:17 | 0:05:21 | |
What if we all had that capability? | 0:05:21 | 0:05:24 | |
How would that improve our health? | 0:05:24 | 0:05:27 | |
I'm going to start | 0:05:33 | 0:05:34 | |
by checking out some of the latest medical technology. | 0:05:34 | 0:05:38 | |
But I'm not talking about MRI scanners or surgical robots. | 0:05:38 | 0:05:43 | |
I'm not heading to a hospital, or a doctor's surgery. | 0:05:43 | 0:05:47 | |
I've come to a sports shop. | 0:05:47 | 0:05:49 | |
For a few years, people who are far more committed to exercise than me | 0:05:52 | 0:05:56 | |
have been using gadgets like these to help them keep fit. | 0:05:56 | 0:06:00 | |
You know, these are fundamentally impressive devices. | 0:06:01 | 0:06:04 | |
Take, for example, the GPS trackers, | 0:06:04 | 0:06:07 | |
which grab information from satellites | 0:06:07 | 0:06:09 | |
and define your position with unparalleled accuracy. | 0:06:09 | 0:06:11 | |
And then there's the heart rate monitors | 0:06:11 | 0:06:13 | |
which can measure the faint spread of electricity across your heart, | 0:06:13 | 0:06:16 | |
through the full thickness of your chest. | 0:06:16 | 0:06:19 | |
In a few years, | 0:06:19 | 0:06:20 | |
the number of us with wireless health and fitness devices | 0:06:20 | 0:06:24 | |
is expected to rise to almost 200 million. | 0:06:24 | 0:06:27 | |
When these products started to become available a few years ago, | 0:06:27 | 0:06:31 | |
it didn't occur to me that they would become so advanced | 0:06:31 | 0:06:35 | |
or deliver such a rich stream of information. | 0:06:35 | 0:06:38 | |
And I didn't anticipate | 0:06:38 | 0:06:39 | |
that self-monitoring would find its way into medicine. | 0:06:39 | 0:06:43 | |
But it's beginning to. And that could make a huge difference, | 0:06:43 | 0:06:47 | |
so much so that I've started to think | 0:06:47 | 0:06:50 | |
that we might be on the brink of a revolution in healthcare. | 0:06:50 | 0:06:54 | |
This is a revolution that takes monitoring | 0:06:56 | 0:06:59 | |
out of doctors' hands, out of hospitals, and it gives it to us. | 0:06:59 | 0:07:03 | |
And by doing that, it places us at the heart of our own healthcare, | 0:07:06 | 0:07:10 | |
and makes doctors of all of us. | 0:07:10 | 0:07:13 | |
There are few people that know this new world of medicine | 0:07:16 | 0:07:20 | |
better than Blaine Price. | 0:07:20 | 0:07:22 | |
He's pretty obsessed when it comes to the latest gadgets. | 0:07:22 | 0:07:26 | |
You're pretty into self-monitoring. | 0:07:26 | 0:07:28 | |
Yes, I get every app going. | 0:07:28 | 0:07:30 | |
I buy all the devices I can and try them out. | 0:07:30 | 0:07:32 | |
And it's great, because I get to play with all the toys | 0:07:32 | 0:07:35 | |
and learn lots of things about myself at the same time. | 0:07:35 | 0:07:39 | |
'Blaine's gathered together some of his favourite toys | 0:07:39 | 0:07:42 | |
'for me to have a look at.' | 0:07:42 | 0:07:44 | |
What have you got for me here? | 0:07:44 | 0:07:45 | |
First of all, we've got these, kind of a glorified pedometer | 0:07:45 | 0:07:48 | |
to keep track of how many steps you take, but it's a lot more than that. | 0:07:48 | 0:07:52 | |
They'll monitor exactly when you took your steps, | 0:07:52 | 0:07:55 | |
how active they were and intense they were, what time of day it was. | 0:07:55 | 0:07:58 | |
Sleep is one that people are often interested in. | 0:07:58 | 0:08:01 | |
So, er, this one, you wear it as a headband, | 0:08:01 | 0:08:03 | |
so like this when you're asleep, | 0:08:03 | 0:08:04 | |
and it measures a bit about your brain activity. | 0:08:04 | 0:08:07 | |
It can tell you what phase of sleep you're in, | 0:08:07 | 0:08:09 | |
deep sleep, light sleep, REM and so on. | 0:08:09 | 0:08:11 | |
And if heart information is interesting to you, | 0:08:11 | 0:08:14 | |
we've got a pulse oximeter here. | 0:08:14 | 0:08:15 | |
Oh, yeah, the sort of stuff I use in the hospital anyway. | 0:08:15 | 0:08:18 | |
Sure. And before, you only could get it in a hospital. | 0:08:18 | 0:08:20 | |
This is now very inexpensive | 0:08:20 | 0:08:22 | |
and what it's doing is measuring cardiac rhythm and blood sats. | 0:08:22 | 0:08:28 | |
Looks like I'm fairly healthy at 98 or so. | 0:08:28 | 0:08:31 | |
From the comfort of our own homes, | 0:08:31 | 0:08:33 | |
we can now measure many of our vital signs. | 0:08:33 | 0:08:37 | |
We can also measure a few things you might never have thought of. | 0:08:37 | 0:08:40 | |
There are consumer devices to check your posture... | 0:08:43 | 0:08:46 | |
your blood alcohol levels... | 0:08:51 | 0:08:52 | |
-Do a quick jump. -How high you jump... | 0:08:56 | 0:08:58 | |
And even how quickly you're eating. | 0:09:03 | 0:09:07 | |
And much of this, we can do without even buying any new gadgets. | 0:09:08 | 0:09:13 | |
There are now tens of thousands of apps | 0:09:13 | 0:09:16 | |
available on our phones to track anything and everything about us. | 0:09:16 | 0:09:21 | |
In fact, there are hundreds of apps coming out probably every week | 0:09:21 | 0:09:25 | |
which are health-related, able to measure things, log things. | 0:09:25 | 0:09:28 | |
Some of the latest apps use things designed for one obvious purpose, | 0:09:28 | 0:09:31 | |
like a phone's camera, to do something utterly unexpected. | 0:09:31 | 0:09:35 | |
We even have apps that can measure your heart rate | 0:09:35 | 0:09:38 | |
-just by looking at you. -That's amazing. | 0:09:38 | 0:09:40 | |
Give it a try. You have to keep fairly still. | 0:09:40 | 0:09:43 | |
OK, so I'm going to have to shut up and stay still. | 0:09:43 | 0:09:46 | |
And it will measure your heart rate by looking at the colour changes | 0:09:46 | 0:09:50 | |
in your face, and it might even get your breathing rate in there. | 0:09:50 | 0:09:54 | |
So there's the heart rate there coming in, about 79 or 80. | 0:09:54 | 0:09:58 | |
And breathing rate about 17. That's really quite incredible | 0:09:58 | 0:10:03 | |
because it must be, the heart rate stuff there | 0:10:03 | 0:10:06 | |
must be on just seeing the small differences | 0:10:06 | 0:10:09 | |
in the change and colour of my face? | 0:10:09 | 0:10:11 | |
So as the capillaries sort of swell up and fall away with every beat? | 0:10:11 | 0:10:14 | |
Yes, it's the resolution of the camera that does it. | 0:10:14 | 0:10:16 | |
The technology here has such a high resolution in smartphones | 0:10:16 | 0:10:19 | |
and tablets that we're looking at the same range | 0:10:19 | 0:10:21 | |
you would have had in medical scientific instruments 20 years ago. | 0:10:21 | 0:10:25 | |
I find that...just gobsmacking, really. | 0:10:25 | 0:10:32 | |
Blaine has set up an experiment to help me find out | 0:10:35 | 0:10:38 | |
whether this technology can really make us healthier. | 0:10:38 | 0:10:42 | |
He's roped me into taking part as well. | 0:10:42 | 0:10:44 | |
-I'm Kevin, hi. -I'm Celia. -Celia, hi. | 0:10:44 | 0:10:50 | |
'Celia, Cathy, and Pam work together.' | 0:10:50 | 0:10:52 | |
So I understand that you've volunteered to be guinea pigs | 0:10:52 | 0:10:55 | |
-for this particular experiment. -Yes, we are the guinea pigs. | 0:10:55 | 0:10:58 | |
What have we let ourselves in for? | 0:10:58 | 0:10:59 | |
'They're hoping that by monitoring themselves, | 0:10:59 | 0:11:02 | |
'they can overcome an endless struggle and lose some weight.' | 0:11:02 | 0:11:06 | |
We're permanently on diets, aren't we? | 0:11:06 | 0:11:09 | |
We're all very conscious about we eat too much | 0:11:09 | 0:11:12 | |
and we drink too much, but we love it. | 0:11:12 | 0:11:14 | |
We all discuss what we ate last night. | 0:11:14 | 0:11:16 | |
"Oh, no, I had a glass of wine." "Well, Celia had three." | 0:11:16 | 0:11:19 | |
We've got a set of scales in the office, | 0:11:19 | 0:11:21 | |
and so every week, we weigh in | 0:11:21 | 0:11:23 | |
and we keep a chart of what our weight loss is, | 0:11:23 | 0:11:26 | |
and sometimes weight gain. | 0:11:26 | 0:11:28 | |
Until now, this, standing on a set of scales, | 0:11:28 | 0:11:31 | |
has been the only form of self-monitoring that most people do. | 0:11:31 | 0:11:36 | |
I've got to get all my jewellery off. | 0:11:36 | 0:11:37 | |
Moment of truth. We do this every week, don't we? | 0:11:37 | 0:11:40 | |
-Does it make any difference? No. -I thought you'd been so good! | 0:11:40 | 0:11:45 | |
-Don't forget your watch. -I'll take my watch off. | 0:11:45 | 0:11:49 | |
Get off, quick! | 0:11:49 | 0:11:51 | |
OK, Cathy. | 0:11:51 | 0:11:53 | |
-It's stayed the same. -Oh, the same as last time. | 0:11:53 | 0:11:56 | |
Same as the week before. | 0:11:56 | 0:11:59 | |
It's the same story for so many of us. | 0:12:02 | 0:12:04 | |
There's too much going on in our lives | 0:12:04 | 0:12:06 | |
that stops us getting fit and staying healthy. | 0:12:06 | 0:12:10 | |
I find it really difficult to wake up in the morning | 0:12:10 | 0:12:14 | |
and think about doing some exercise. | 0:12:14 | 0:12:17 | |
There's quite a lot of ready meals going on, | 0:12:17 | 0:12:20 | |
which doesn't help the diet. | 0:12:20 | 0:12:22 | |
Any excuse. | 0:12:24 | 0:12:25 | |
If I had all the time in the world, I would exercise a lot more. | 0:12:25 | 0:12:29 | |
But, you know, there's just work, looking after the house, | 0:12:29 | 0:12:32 | |
picking the children up from school, | 0:12:32 | 0:12:33 | |
the usual domestic chores that every mum has. | 0:12:33 | 0:12:37 | |
So how exactly is Blaine hoping | 0:12:37 | 0:12:40 | |
that monitoring ourselves can make a difference to our health? | 0:12:40 | 0:12:45 | |
There's actually only two simple things you have to do. | 0:12:45 | 0:12:47 | |
One is, you've got to carry around with you a little device here. | 0:12:47 | 0:12:50 | |
You can stick it in your pocket. | 0:12:50 | 0:12:52 | |
It'll record how many steps you've taken. | 0:12:52 | 0:12:54 | |
The other bit of this study is, | 0:12:54 | 0:12:55 | |
you need to have a smartphone to measure your sleep at night. | 0:12:55 | 0:12:58 | |
It's going to measure, hopefully, how deeply you're sleeping, | 0:12:58 | 0:13:01 | |
how well you're sleeping. | 0:13:01 | 0:13:02 | |
It'll measure the time you go to bed and wake up. | 0:13:02 | 0:13:04 | |
So what you'll do is get an email every day from me | 0:13:04 | 0:13:08 | |
with a summary of your performance during the past day, | 0:13:08 | 0:13:12 | |
how it compares with the past week, | 0:13:12 | 0:13:14 | |
and also how you compare with the rest of the group. | 0:13:14 | 0:13:17 | |
The hope is | 0:13:17 | 0:13:18 | |
that by simply measuring the number of steps we take every day, | 0:13:18 | 0:13:22 | |
we can set ourselves targets and get motivated to do more. | 0:13:22 | 0:13:25 | |
And by keeping tabs on our sleep, | 0:13:25 | 0:13:28 | |
we can find out what helps us sleep better. | 0:13:28 | 0:13:31 | |
I'm hoping that it's going to give me a better understanding | 0:13:31 | 0:13:34 | |
of what you actually do have to do to kick-start a healthier life, | 0:13:34 | 0:13:39 | |
to burn more calories, to perhaps have a better night's sleep. | 0:13:39 | 0:13:44 | |
I don't have a particularly healthy lifestyle | 0:13:44 | 0:13:47 | |
because I don't do exercise. | 0:13:47 | 0:13:49 | |
I'm not aware of my health, shall we say. | 0:13:49 | 0:13:52 | |
I don't know what my blood pressure is. | 0:13:52 | 0:13:54 | |
My sleep pattern these days, as I've got older, is not good. | 0:13:54 | 0:13:58 | |
I'm hoping it's going to give me the enthusiasm to do some exercise | 0:13:58 | 0:14:02 | |
because quite honestly, I find exercise boring! | 0:14:02 | 0:14:05 | |
Every day for the next three weeks, each of us is going | 0:14:07 | 0:14:10 | |
to be bombarded with numbers - how much we've slept, | 0:14:10 | 0:14:14 | |
how deeply we slept, how many steps we've taken, when we took them. | 0:14:14 | 0:14:20 | |
The question is whether simply seeing those numbers | 0:14:21 | 0:14:24 | |
will be enough to make us change. | 0:14:24 | 0:14:26 | |
But there are people who already use self-monitoring | 0:14:33 | 0:14:36 | |
to alter their health and fitness in a fundamental way. | 0:14:36 | 0:14:40 | |
This is Twickenham, the home of rugby, | 0:14:46 | 0:14:48 | |
and I'm here to join the England Rugby 7s team while they train. | 0:14:48 | 0:14:52 | |
So if you go along it gives you | 0:14:54 | 0:14:55 | |
pretty much everything you could want. | 0:14:55 | 0:14:58 | |
'Brett Davison is the team's Head of Physical Performance.' | 0:14:58 | 0:15:01 | |
..zones which we would have to specify. | 0:15:01 | 0:15:04 | |
'His players are amongst the most | 0:15:04 | 0:15:06 | |
'closely monitored people in the world.' | 0:15:06 | 0:15:08 | |
So they've got on a little GPS unit that sits in a little | 0:15:10 | 0:15:13 | |
neoprene pocket on their jersey between their shoulder blades. | 0:15:13 | 0:15:16 | |
There we go. | 0:15:16 | 0:15:18 | |
And then they've got a heart-rate strap on, | 0:15:18 | 0:15:20 | |
those two coordinate between each other | 0:15:20 | 0:15:22 | |
and then the information comes straight back to us. | 0:15:22 | 0:15:25 | |
'Now, I'm a doctor. | 0:15:25 | 0:15:26 | |
'I'm used to examining people, | 0:15:26 | 0:15:28 | |
'and looking for the subtle signs of illness and injury. | 0:15:28 | 0:15:32 | |
'And as far as I'm concerned this international rugby team | 0:15:32 | 0:15:35 | |
'looks more than match ready. | 0:15:35 | 0:15:38 | |
'But Brett sees a lot more than I can without even | 0:15:38 | 0:15:41 | |
'glancing at the players. | 0:15:41 | 0:15:44 | |
'He does it simply by looking at a screen full of numbers.' | 0:15:44 | 0:15:47 | |
Run me through what you've got here. | 0:15:47 | 0:15:49 | |
OK, there's obviously speed - | 0:15:49 | 0:15:51 | |
your current, your average and you maximum. | 0:15:51 | 0:15:54 | |
Heart rate, exactly the same. | 0:15:54 | 0:15:56 | |
Distance, so that's for the whole training session. | 0:15:56 | 0:15:59 | |
Dynamic stress load, number of accelerations, decelerations. | 0:15:59 | 0:16:02 | |
High speed running is the number of metres they've run, | 0:16:02 | 0:16:05 | |
maximum speed. | 0:16:05 | 0:16:06 | |
'All those numbers help Brett | 0:16:08 | 0:16:09 | |
'detect problems well before any doctor could.' | 0:16:09 | 0:16:13 | |
You can see the injuries in terms of their speed | 0:16:15 | 0:16:17 | |
or their lack of, usually. | 0:16:17 | 0:16:19 | |
Um, and certainly their running intensity will be off | 0:16:19 | 0:16:21 | |
what we know it could be for that particular individual. | 0:16:21 | 0:16:25 | |
This is Geoff's trace and at the moment | 0:16:25 | 0:16:28 | |
he's at 18-odd kilometres per hour, | 0:16:28 | 0:16:30 | |
which is not very fast for these guys. | 0:16:30 | 0:16:32 | |
So you can certainly start to see where somebody's struggling. | 0:16:35 | 0:16:38 | |
'And the information Brett gathers turns out to be an incredibly | 0:16:38 | 0:16:42 | |
'sensitive indicator of injury.' | 0:16:42 | 0:16:44 | |
It picks up their step balance, their left-right step balance, | 0:16:46 | 0:16:49 | |
uh, through the, accelerometer. | 0:16:49 | 0:16:50 | |
So, we can tell how badly somebody's limping, | 0:16:50 | 0:16:53 | |
or how much they might be favouring a leg. | 0:16:53 | 0:16:55 | |
And this lad got hit on the knee. | 0:16:55 | 0:16:57 | |
And the difference between his left and his right is about | 0:16:57 | 0:17:01 | |
one and a half per cent. | 0:17:01 | 0:17:02 | |
So, although it's a really subtle change, one and a half per cent | 0:17:02 | 0:17:05 | |
off his top speed, because he's limping a little bit, | 0:17:05 | 0:17:08 | |
could be the difference between a try or no try. | 0:17:08 | 0:17:10 | |
'Since he started monitoring his players this intensely, | 0:17:10 | 0:17:14 | |
'Brett has found that their soft-tissue injuries have fallen | 0:17:14 | 0:17:17 | |
'by a stunning 80%. | 0:17:17 | 0:17:19 | |
'He's stopping injuries before they arise. | 0:17:20 | 0:17:23 | |
'To Brett, it's become something of a crystal ball, | 0:17:25 | 0:17:28 | |
'allowing him to see into the players' futures.' | 0:17:28 | 0:17:31 | |
If they've had a bad night's sleep, their heart rate will show it. | 0:17:31 | 0:17:35 | |
If they're getting ill and they don't know they're getting ill yet, | 0:17:35 | 0:17:37 | |
usually their heart rate will show it for us as well. | 0:17:37 | 0:17:40 | |
So from that point of view, | 0:17:40 | 0:17:41 | |
sometimes we know things about them that they don't know yet. | 0:17:41 | 0:17:44 | |
So you can tell that someone's ill | 0:17:44 | 0:17:46 | |
before they themselves are conscious of the fact that they're ill? | 0:17:46 | 0:17:49 | |
It hasn't failed us yet, where we've seen data | 0:17:49 | 0:17:53 | |
and we haven't reacted to it, and literally the player has | 0:17:53 | 0:17:55 | |
woken up the next day and said, "I'm crook, I can't train." | 0:17:55 | 0:17:58 | |
And we've been a bit upset that we haven't acted on it. | 0:17:58 | 0:18:00 | |
But we generally pick up illness | 0:18:00 | 0:18:03 | |
24 hours before they might start to feel ill. | 0:18:03 | 0:18:05 | |
You must have found that remarkable when you first realised. | 0:18:05 | 0:18:09 | |
Yeah. For a while we literally were looking at it, going, "That can't be right. That can't be right." | 0:18:09 | 0:18:12 | |
And we looked at it for a long time, and then started acting on it. | 0:18:12 | 0:18:15 | |
And then, the results started proving it, you know. | 0:18:15 | 0:18:18 | |
Your body's not going to lie. You might, but your body's not. | 0:18:18 | 0:18:21 | |
'Imagine if we could all see what lay ahead. | 0:18:23 | 0:18:26 | |
'Imagine if we all knew what was coming before it arrived.' | 0:18:26 | 0:18:30 | |
It's remarkable, to see illness and injury | 0:18:32 | 0:18:34 | |
before the players themselves were conscience of it. | 0:18:34 | 0:18:37 | |
Because that in medicine is essentially what we strive for. | 0:18:37 | 0:18:41 | |
To be able to see the storm before it's arrived, | 0:18:41 | 0:18:44 | |
in the hope that we might navigate safely through it. | 0:18:44 | 0:18:47 | |
Or perhaps even avoid it altogether. | 0:18:47 | 0:18:49 | |
Here we go, then. See if this works. | 0:18:51 | 0:18:54 | |
Our volunteers are a few days into | 0:18:54 | 0:18:56 | |
seeing what self-monitoring might do for them. | 0:18:56 | 0:18:59 | |
We'd better give this gadget a go, then. | 0:18:59 | 0:19:01 | |
When it comes to counting steps, | 0:19:01 | 0:19:03 | |
the recommended daily goal in order to keep fit and healthy is 10,000. | 0:19:03 | 0:19:07 | |
All the way up, all the way down! | 0:19:10 | 0:19:12 | |
But as the numbers start coming in there's a bit of a surprise. | 0:19:12 | 0:19:15 | |
I've been looking, just to see how many steps I'm doing, | 0:19:19 | 0:19:22 | |
and I'm really shocked, cos I really don't even break 5,000 sometimes, | 0:19:22 | 0:19:27 | |
and I'm supposed to be doing at least 10,000. | 0:19:27 | 0:19:30 | |
It's really hard. | 0:19:30 | 0:19:32 | |
So today I've been to boot camp and I've really got to up my game. | 0:19:32 | 0:19:36 | |
The step logging's come as a bit of a surprise really. | 0:19:44 | 0:19:47 | |
I thought I was quite active and thought I moved round a lot, | 0:19:47 | 0:19:50 | |
but it's quite a bit lower than I expected it to be, | 0:19:50 | 0:19:55 | |
and I'm going to have to rely on dancing to boost that count. | 0:19:55 | 0:19:59 | |
It's been difficult to find enough time to fit in the extra exercise. | 0:20:04 | 0:20:10 | |
Jess, this way. | 0:20:10 | 0:20:11 | |
'Mainly through walking, | 0:20:11 | 0:20:13 | |
'but anyway we'll see how we get on.' | 0:20:13 | 0:20:16 | |
And, despite the fact that I've come to sunny California, | 0:20:23 | 0:20:27 | |
I'm not finding it any easier. | 0:20:27 | 0:20:29 | |
This is harder than I remember it being. I haven't done it in a while. | 0:20:33 | 0:20:37 | |
I've never really felt the need to pull on a pair of trainers | 0:20:39 | 0:20:41 | |
and jog up and down a beach. | 0:20:41 | 0:20:43 | |
But it's different when you're confronted with | 0:20:43 | 0:20:46 | |
cold, hard numbers telling you exactly how lazy you're being. | 0:20:46 | 0:20:50 | |
So I've had this now for about a week, | 0:20:51 | 0:20:53 | |
and I didn't really think it was going to change the way | 0:20:53 | 0:20:56 | |
I looked at what I did and didn't do, but it really has. | 0:20:56 | 0:21:00 | |
It does make you more competitive, even if that's only with yourself. | 0:21:00 | 0:21:05 | |
I know that I've done 3,000 steps today, | 0:21:05 | 0:21:07 | |
I know that this beach is worth another 500, and I know that | 0:21:07 | 0:21:10 | |
the difference between exercise and no exercise is a pile of numbers | 0:21:10 | 0:21:14 | |
that will appear on my computer tonight | 0:21:14 | 0:21:16 | |
and tell me how hard I've worked. | 0:21:16 | 0:21:18 | |
So I guess it's probably time I got a bit more | 0:21:18 | 0:21:21 | |
serious about all of this. | 0:21:21 | 0:21:22 | |
Because the fact is, at the moment, I'm not working nearly hard enough. | 0:21:25 | 0:21:30 | |
'I'm not here just to run in the sunshine. | 0:21:36 | 0:21:38 | |
'I've got an appointment to see the doctor.' | 0:21:39 | 0:21:42 | |
-Hello. -Good morning. -I'm here to see Dr Topol. | 0:21:42 | 0:21:44 | |
-Go ahead and have a seat, he'll be with you shortly. -Thank you very much. -You're welcome. | 0:21:44 | 0:21:49 | |
'Californians are famously obsessed with looking and feeling great. | 0:21:49 | 0:21:54 | |
'So it's a natural home for some of the pioneers of the self-monitoring movement.' | 0:21:54 | 0:22:00 | |
I've seen a lot of waiting rooms, | 0:22:00 | 0:22:02 | |
and this one is pretty typical, pretty average, but the doctor | 0:22:02 | 0:22:06 | |
I'm about to see, his approach to medicine is anything but. | 0:22:06 | 0:22:10 | |
-Kevin Fong, Dr Topol will see you now. -Thank you. | 0:22:10 | 0:22:14 | |
'Normally, you expect a visit to the doctor to end with | 0:22:14 | 0:22:17 | |
'a prescription for pills. | 0:22:17 | 0:22:19 | |
'But the doctor I'm going to see is much more interested | 0:22:20 | 0:22:23 | |
'in fixing his patients by getting them to monitor themselves. | 0:22:23 | 0:22:27 | |
'Dr Topol is a cardiologist.' | 0:22:28 | 0:22:31 | |
-So let me go ahead and start off, we'll do a cardiogram, OK? -OK. | 0:22:31 | 0:22:34 | |
I've got my phone here. | 0:22:34 | 0:22:37 | |
'I've never seen any doctor check for the signs of a heart attack | 0:22:37 | 0:22:40 | |
'with little more than their phone.' | 0:22:40 | 0:22:42 | |
Put your fingers on that, and then just make a circuit with your heart. | 0:22:42 | 0:22:47 | |
So we'll look at this together, OK, and that's your cardiogram. | 0:22:47 | 0:22:52 | |
I find it incredible that you can do that degree of monitoring. | 0:22:52 | 0:22:55 | |
Normally when I'm doing that in a hospital I wheel this sort of | 0:22:55 | 0:22:58 | |
R2D2-looking thing into the side of the bed and it takes about | 0:22:58 | 0:23:03 | |
10 minutes to hook up to someone. | 0:23:03 | 0:23:05 | |
That feels very Star Trek to me. I mean, I... | 0:23:05 | 0:23:09 | |
You're easily impressed, this is nothing. | 0:23:09 | 0:23:12 | |
'Whatever's wrong with you, Dr Topol will try and find | 0:23:12 | 0:23:15 | |
'a gadget to help, so that you can look after yourself at home. | 0:23:15 | 0:23:19 | |
'He even uses some of them himself.' | 0:23:19 | 0:23:21 | |
Here's a sensor. | 0:23:21 | 0:23:23 | |
'He's wearing a sensor like this, with a hair-thin micro-needle that | 0:23:23 | 0:23:27 | |
'implants under the skin, giving constant blood-glucose readings.' | 0:23:27 | 0:23:31 | |
I have this on and I can monitor my glucose every minute. | 0:23:32 | 0:23:36 | |
So right now my glucose is 91, OK, and I can see what it's been doing | 0:23:36 | 0:23:42 | |
in the last several hours, and every minute it will update. | 0:23:42 | 0:23:47 | |
For the huge number of people who suffer with diabetes, this is... | 0:23:47 | 0:23:52 | |
revelatory, because until now they've had to prick their fingers. | 0:23:52 | 0:23:56 | |
Oh, no, the finger stick could be history. | 0:23:56 | 0:23:58 | |
When you have this on... | 0:23:58 | 0:23:59 | |
The average person looks at their phone 150 times a day. | 0:23:59 | 0:24:03 | |
So now you got your phone, and you're looking at it, you say, | 0:24:03 | 0:24:06 | |
"Am I going to eat that cookie, am I going to eat that piece of cake? | 0:24:06 | 0:24:09 | |
"Cos if I eat that my glucose is going to shoot up to 160, 180." | 0:24:09 | 0:24:13 | |
And you start to realise exactly how your body is responding to food, | 0:24:13 | 0:24:18 | |
to portions, to exercise. | 0:24:18 | 0:24:20 | |
It really changes your lifestyle, it did me at least. | 0:24:20 | 0:24:23 | |
So you're prescribing...apps? | 0:24:23 | 0:24:26 | |
You name the condition, er, heart rhythm problem, | 0:24:26 | 0:24:30 | |
we get the condition, the apps to match up with your phone, | 0:24:30 | 0:24:33 | |
and that's how you monitor yourself. | 0:24:33 | 0:24:37 | |
Medicine is truly unplugged now, | 0:24:37 | 0:24:38 | |
and it's going to change everything we do in healthcare. | 0:24:38 | 0:24:42 | |
Because now all the information is going directly to the patient, | 0:24:42 | 0:24:46 | |
not to the doctor. | 0:24:46 | 0:24:48 | |
And it's more information than we ever had before. | 0:24:48 | 0:24:51 | |
'After visiting the doctor in the future, | 0:24:56 | 0:24:58 | |
'rather than leaving with pills, we'll leave with something | 0:24:58 | 0:25:01 | |
'far more important - information that's impossible to hide from.' | 0:25:01 | 0:25:06 | |
The whole opportunity to know everything about the medical essence | 0:25:10 | 0:25:14 | |
of each person is pretty remarkable. | 0:25:14 | 0:25:16 | |
To me at least, a student of medicine for three decades, | 0:25:16 | 0:25:20 | |
this is the biggest shake-up in the history of medicine by far. | 0:25:20 | 0:25:24 | |
'With all this information, Eric hopes we'll be able to spot | 0:25:24 | 0:25:27 | |
'even the most serious problems before it's too late.' | 0:25:27 | 0:25:31 | |
To be able to prevent a heart attack with this type of, er, | 0:25:32 | 0:25:35 | |
information, that to me is the most exciting thing. | 0:25:35 | 0:25:38 | |
And I do believe that they will be, if not fully preventable, | 0:25:38 | 0:25:41 | |
awfully darn close. | 0:25:41 | 0:25:43 | |
We could stamp out something like asthma attacks. | 0:25:43 | 0:25:46 | |
You can pick up, er, pollen count, air quality | 0:25:46 | 0:25:49 | |
and how the chest is moving long before the person feels | 0:25:49 | 0:25:52 | |
a wheeze or is having difficulty breathing. | 0:25:52 | 0:25:55 | |
What do you think is going to turn up in the next ten years or so | 0:25:55 | 0:25:58 | |
that people will think, | 0:25:58 | 0:25:59 | |
"I never would've imagined that medicine would look like this"? | 0:25:59 | 0:26:02 | |
For the person who really has a significant illness or risk of one, | 0:26:02 | 0:26:07 | |
putting in a tiniest implant, smaller than a grain of sand, that | 0:26:07 | 0:26:11 | |
essentially carries no risk, will be commonplace. Er, little microchips. | 0:26:11 | 0:26:16 | |
We have 'em in our pets to keep track of where they are. | 0:26:16 | 0:26:19 | |
Why don't we have 'em in our people to prevent illness? | 0:26:19 | 0:26:22 | |
You know, it's startling to hear the way that Eric talks, | 0:26:32 | 0:26:36 | |
to see the things that he's doing. | 0:26:36 | 0:26:38 | |
He pretty much prescribes apps | 0:26:38 | 0:26:40 | |
the way my colleagues would prescribe drugs. | 0:26:40 | 0:26:44 | |
And that right there is an example of how | 0:26:44 | 0:26:47 | |
we're leaving behind what he would call the old medicine, | 0:26:47 | 0:26:50 | |
how we're finally dragging the field of medicine into the digital age. | 0:26:50 | 0:26:56 | |
And if it works the way that he says it will, | 0:26:56 | 0:26:59 | |
then it has the potential to change everything, | 0:26:59 | 0:27:02 | |
it has the potential to be truly, truly transformative. | 0:27:02 | 0:27:06 | |
These days, we can monitor one of the most fundamental | 0:27:21 | 0:27:24 | |
but usually unseen aspects of our lives - something that affects | 0:27:24 | 0:27:30 | |
our physical and mental wellbeing, and even how long we might live. | 0:27:30 | 0:27:35 | |
Our pattern of sleep. | 0:27:36 | 0:27:38 | |
First night in the United States | 0:27:41 | 0:27:44 | |
and I'm going to give Blaine's sleep app a go. | 0:27:44 | 0:27:47 | |
Apparently all I have to do is press that button, | 0:27:47 | 0:27:51 | |
stick it on the end of my bed | 0:27:51 | 0:27:53 | |
and it's going to tell me how I slept, so let's give it a go. | 0:27:53 | 0:27:57 | |
Every twist or turn is monitored | 0:28:02 | 0:28:04 | |
by a finely calibrated sensor in the phone | 0:28:04 | 0:28:07 | |
which measures tiny ripples in the mattress as I move. | 0:28:07 | 0:28:10 | |
It should allow me to see if anything affects my sleep. | 0:28:10 | 0:28:13 | |
Across the Atlantic, | 0:28:17 | 0:28:18 | |
Celia is carrying out her own sleep experiment. | 0:28:18 | 0:28:21 | |
Tonight I have had too much to drink, um, more than | 0:28:23 | 0:28:28 | |
I've had to drink for quite a while... | 0:28:28 | 0:28:30 | |
..and, yes, I am feeling...worse for wear. | 0:28:32 | 0:28:36 | |
So I'm going to record my sleep tonight to see what happens. | 0:28:36 | 0:28:40 | |
Every night, each of us will produce a graph detailing our sleep. | 0:28:42 | 0:28:46 | |
RADIO: John Tamm in the morning on San Diego's number one | 0:28:48 | 0:28:51 | |
for new country, KSON. | 0:28:51 | 0:28:52 | |
It's another sunny day here in San Diego. | 0:28:52 | 0:28:55 | |
HE TURNS RADIO OFF | 0:28:55 | 0:28:57 | |
Well, let's see what the phone's going to tell me about last night. | 0:28:57 | 0:29:00 | |
So there's the graph of my sleep, light sleep right up | 0:29:02 | 0:29:05 | |
there at the top, it says deep sleep at the bottom. | 0:29:05 | 0:29:08 | |
These mountainous looking peaks here are where I was wriggling around. | 0:29:08 | 0:29:14 | |
And overall it says that I slept for 8 hours, | 0:29:14 | 0:29:18 | |
and about 64% of that was deep sleep. | 0:29:18 | 0:29:21 | |
Who ever thought that phones were going to tell us | 0:29:21 | 0:29:23 | |
about how well we were sleeping? | 0:29:23 | 0:29:25 | |
After three weeks of monitoring our sleep, we should all be able to find | 0:29:29 | 0:29:33 | |
out what affects it - and change our lifestyles to help us get a better night's sleep. | 0:29:33 | 0:29:38 | |
But self-monitoring might do much more than just change our habits and behaviour. | 0:29:43 | 0:29:48 | |
We've all worried at some point about what nasty surprises | 0:29:49 | 0:29:52 | |
might be lurking inside our bodies, what might be going wrong, | 0:29:52 | 0:29:56 | |
without us even knowing. | 0:29:56 | 0:29:57 | |
By monitoring ourselves, we can find out, | 0:29:59 | 0:30:02 | |
and potentially do something about it. | 0:30:02 | 0:30:04 | |
This is the house of probably the most monitored man in the world. | 0:30:10 | 0:30:15 | |
He monitors himself - he monitors everything about himself. | 0:30:15 | 0:30:19 | |
And I really do mean everything. | 0:30:20 | 0:30:22 | |
But by monitoring himself so much, | 0:30:23 | 0:30:25 | |
he discovered a potentially fatal condition. | 0:30:25 | 0:30:28 | |
DOORBELL RINGS | 0:30:28 | 0:30:31 | |
-Larry, I'm Kevin Fong, nice to meet you. -Good to meet you. Come on in. | 0:30:34 | 0:30:37 | |
Larry Smarr is one of the most influential computer scientists in the United States. | 0:30:37 | 0:30:43 | |
He was instrumental in developing networked computers - | 0:30:43 | 0:30:46 | |
the predecessors of the internet. | 0:30:46 | 0:30:49 | |
Today, he's putting all his talent into monitoring himself. | 0:30:49 | 0:30:53 | |
Larry just give me a shopping list of what you monitor about yourself? | 0:30:53 | 0:30:56 | |
Well, I monitor my weight. | 0:30:56 | 0:30:59 | |
I monitor my steps and caloric burn with my Fitbit. | 0:30:59 | 0:31:03 | |
I monitor my sleep every night. | 0:31:03 | 0:31:05 | |
Urine, saliva, blood, I monitor stool, actually... | 0:31:05 | 0:31:08 | |
You even go so far as to monitor your own stools? | 0:31:08 | 0:31:12 | |
Yes. I mean that's by far the most important part of what I've done. | 0:31:12 | 0:31:18 | |
There is such a thing as too much information, surely? | 0:31:18 | 0:31:21 | |
No. There is never too much information. | 0:31:21 | 0:31:24 | |
It is a challenge to... | 0:31:24 | 0:31:26 | |
to turn that information into understanding, | 0:31:26 | 0:31:28 | |
and that's what science is about. | 0:31:28 | 0:31:30 | |
-Am I missing out? -You are. | 0:31:30 | 0:31:31 | |
We produce stool every day, everybody on Earth does, | 0:31:31 | 0:31:37 | |
and it has this incredible information about the state | 0:31:37 | 0:31:40 | |
of your health and we just flush it away. | 0:31:40 | 0:31:43 | |
It's relatively challenging things to do, to monitor, | 0:31:43 | 0:31:47 | |
you know, that element of your life - I mean how do you do that? | 0:31:47 | 0:31:52 | |
Let me just show you. | 0:31:52 | 0:31:55 | |
The point is you have to freeze it. | 0:31:55 | 0:31:58 | |
And I do it every two weeks so I'm going a very fine timescale. | 0:31:58 | 0:32:02 | |
And so it's just sitting here in the freezer. | 0:32:03 | 0:32:07 | |
So each of these is labelled. | 0:32:08 | 0:32:11 | |
That one's February 23rd, | 0:32:11 | 0:32:14 | |
this one is, this one here is January 26th. | 0:32:14 | 0:32:19 | |
This is just in the freezer in your kitchen, | 0:32:19 | 0:32:21 | |
it's not even a separate freezer? | 0:32:21 | 0:32:23 | |
Well, it's getting to the point now that I've got enough of them | 0:32:23 | 0:32:26 | |
that I'll take them to the medical school. | 0:32:26 | 0:32:28 | |
You just Fedex them, and it's overnight delivery, | 0:32:28 | 0:32:32 | |
and then 2 weeks later I get back all this data. | 0:32:32 | 0:32:35 | |
I sort of had it in my mind that you'd have | 0:32:35 | 0:32:37 | |
some special freezer in your garage or something. | 0:32:37 | 0:32:40 | |
Well, my wife probably thinks I should but she's very understanding. | 0:32:40 | 0:32:45 | |
At his laboratory, Larry has put all his information together. | 0:32:49 | 0:32:52 | |
So I was wondering how on earth you were represent | 0:32:52 | 0:32:56 | |
all of the data that you collect about yourself. | 0:32:56 | 0:32:59 | |
'Over the years, he's gathered billions of different measurements about his body.' | 0:32:59 | 0:33:03 | |
From his enzymes to his proteins, his minerals | 0:33:07 | 0:33:11 | |
to his microbes, nothing goes undetected. | 0:33:11 | 0:33:15 | |
And this display shows just a tiny fraction of them. | 0:33:15 | 0:33:20 | |
-These are 150 different variables over either 5 or 10 years. -On you? | 0:33:20 | 0:33:25 | |
Just on me. Here's my cholesterol variables, my magnesium. | 0:33:25 | 0:33:30 | |
Phosphorous, sodium, thallium, stuff I've never heard of. | 0:33:30 | 0:33:34 | |
You're measuring stuff that I've I don't even know how to pronounce. | 0:33:34 | 0:33:37 | |
Yup, all of the things that your doctor tells you to measure | 0:33:37 | 0:33:41 | |
and a lot of others. | 0:33:41 | 0:33:42 | |
'With this information, Larry has a warning system in place,' | 0:33:42 | 0:33:47 | |
'in case anything goes wrong inside his body.' | 0:33:47 | 0:33:50 | |
The colour coding is that if they're in the green they're healthy, | 0:33:50 | 0:33:53 | |
but if they're in the orange, | 0:33:53 | 0:33:55 | |
that means you're 1-10 times above the upper limit for healthy. | 0:33:55 | 0:34:00 | |
I look at this and I say, "Look at all that green I must be pretty healthy." | 0:34:00 | 0:34:04 | |
But a few years ago, he noticed something was wrong. | 0:34:07 | 0:34:10 | |
I said, "What's this thing up here that is red" | 0:34:12 | 0:34:16 | |
"that is spiking up to 30 times the upper limit? And this one down here | 0:34:16 | 0:34:20 | |
that's purple, that's 125 times the healthy limit." | 0:34:20 | 0:34:25 | |
Some of the measures of information in Larry's bloodstream | 0:34:25 | 0:34:29 | |
had shot to worryingly high levels. | 0:34:29 | 0:34:32 | |
Lactoferrin is supposed to be less than 7, | 0:34:34 | 0:34:37 | |
and this is 899, 125 times the upper limit. | 0:34:37 | 0:34:42 | |
So far off scale that you don't have to be a doctor to know that | 0:34:44 | 0:34:47 | |
something's going wrong. | 0:34:47 | 0:34:48 | |
Terribly wrong. | 0:34:48 | 0:34:49 | |
So you look up Google | 0:34:49 | 0:34:52 | |
and within an hour you can find 5 or 6 peer reviewed papers that say | 0:34:52 | 0:34:56 | |
if you have a value of this variable at these numbers, | 0:34:56 | 0:35:00 | |
say 750 to 1,000, you have a chronic incurable disease. | 0:35:00 | 0:35:05 | |
He'd discovered that he had Crohn's disease - a serious disorder of the intestine. | 0:35:07 | 0:35:12 | |
You must've been terrified by this surely? | 0:35:13 | 0:35:16 | |
I'm a scientist, | 0:35:16 | 0:35:18 | |
so the way you fight that feeling is get more knowledge. | 0:35:18 | 0:35:22 | |
With the knowledge he'd gathered, Larry was able to | 0:35:22 | 0:35:25 | |
diagnose his disease at the earliest possible opportunity. | 0:35:25 | 0:35:29 | |
He believes that soon, | 0:35:31 | 0:35:32 | |
we'll all be able to monitor ourselves like he does. | 0:35:32 | 0:35:35 | |
In a world in which you can see what you're doing to yourself | 0:35:38 | 0:35:41 | |
as you go along, the hope is that people will take more personal | 0:35:41 | 0:35:45 | |
responsibility for themselves, in keeping themselves healthy. | 0:35:45 | 0:35:49 | |
So it's like we're almost at Day Zero of a whole new | 0:35:49 | 0:35:53 | |
world of medicine. | 0:35:53 | 0:35:54 | |
And what will come out the other end, | 0:35:54 | 0:35:56 | |
is a far healthier society that's focused on wellness, | 0:35:56 | 0:35:59 | |
rather than trying to fix sickness when it's way too late. | 0:35:59 | 0:36:03 | |
Larry's providing a new self-awareness that would | 0:36:12 | 0:36:15 | |
lead to a new kind of preventative medicine, one that doesn't depend | 0:36:15 | 0:36:20 | |
on vaccination, or programmes of public health, but instead on data. | 0:36:20 | 0:36:25 | |
And in that, I think he really might be onto something. | 0:36:27 | 0:36:30 | |
We're one week into Blaine's experiment. | 0:36:37 | 0:36:40 | |
When we started, I think we were all a bit surprised at how hard | 0:36:42 | 0:36:46 | |
it was to reach the recommended daily level of 10,000 steps. | 0:36:46 | 0:36:50 | |
So how's everyone doing now? | 0:36:51 | 0:36:54 | |
Who's that there? That red bar is Celia. | 0:36:54 | 0:36:57 | |
Upping her game. | 0:36:58 | 0:37:00 | |
Getting over 15,000 steps on a couple of days | 0:37:00 | 0:37:02 | |
which is pretty impressive. | 0:37:02 | 0:37:03 | |
It does kind of give it all that competitive edge. | 0:37:03 | 0:37:07 | |
'Our little experiment seems to have got rather serious.' | 0:37:08 | 0:37:11 | |
-PHONE RINGS -Well, it's ringing. | 0:37:11 | 0:37:15 | |
-Hello! -ALL: Hello! | 0:37:15 | 0:37:17 | |
How's it all going? | 0:37:17 | 0:37:19 | |
Well, we're a bit concerned about how well you did. | 0:37:19 | 0:37:23 | |
Last Monday, you seemed to put on a good spurt. | 0:37:23 | 0:37:26 | |
I did do a bit of running that day, I have to say. | 0:37:26 | 0:37:29 | |
But I see, Celia, you did a couple of days over 15,000 steps. | 0:37:29 | 0:37:32 | |
I have, yes, and I'm definitely making sure that | 0:37:32 | 0:37:37 | |
I walk places that I wouldn't normally do | 0:37:37 | 0:37:39 | |
and it's been going really well. | 0:37:39 | 0:37:42 | |
Celia is winning. She's beating all of us. | 0:37:42 | 0:37:45 | |
Yeah, what are you going to do about that, Cathy? | 0:37:45 | 0:37:48 | |
I've been going to boot camp, | 0:37:48 | 0:37:50 | |
but my step count is a bit disappointing, I'm afraid. | 0:37:50 | 0:37:54 | |
So I'm having to do a run after boot camp, | 0:37:54 | 0:37:57 | |
but, having said that, | 0:37:57 | 0:37:58 | |
my steps are still nowhere near as much as yours and Celia, | 0:37:58 | 0:38:01 | |
I'm very upset. | 0:38:01 | 0:38:03 | |
-How's it been going with you, Pam? -I've been doing a lot more walking, | 0:38:03 | 0:38:06 | |
and, er... | 0:38:06 | 0:38:08 | |
going the long way round to make the tea and the coffee. | 0:38:08 | 0:38:12 | |
I'm a little bit concerned, because I didn't think | 0:38:12 | 0:38:14 | |
we'd be taking this quite as seriously as we are. | 0:38:14 | 0:38:17 | |
'Maybe this monitoring really is changing our behaviour. | 0:38:17 | 0:38:21 | |
'We'll find out in a couple of weeks | 0:38:21 | 0:38:23 | |
'just how much difference it can make.' | 0:38:23 | 0:38:25 | |
-See you later, lovely to see you. -ALL: See you! Bye! | 0:38:25 | 0:38:27 | |
I'm out running...again. | 0:38:33 | 0:38:35 | |
It's hard not to when every single day | 0:38:37 | 0:38:39 | |
you know exactly how many steps you're clocking up. | 0:38:39 | 0:38:42 | |
But, really, what I'm doing here is one of the more obvious ways | 0:38:44 | 0:38:47 | |
of monitoring your health. | 0:38:47 | 0:38:49 | |
When we think about the way that we monitor health, | 0:38:53 | 0:38:56 | |
we talk about heart rates and blood pressures, or the amount | 0:38:56 | 0:38:59 | |
of exercise we're doing, or the calories that we've burnt. | 0:38:59 | 0:39:03 | |
But it turns out you can gain a surprisingly profound | 0:39:04 | 0:39:07 | |
insight into the state of your health by tracking apparently | 0:39:07 | 0:39:11 | |
trivial bits of information about your life - | 0:39:11 | 0:39:14 | |
stuff that until now, we've completely ignored. | 0:39:14 | 0:39:17 | |
So I'm here to find out how that's done. | 0:39:17 | 0:39:21 | |
'I've come to the Massachusetts Institute of Technology. | 0:39:23 | 0:39:28 | |
'I'm here to see how experts can monitor our everyday behaviour and | 0:39:28 | 0:39:32 | |
'peer into corners of our lives that I never would've thought possible.' | 0:39:32 | 0:39:36 | |
-So, please have a seat here. -Thank you. | 0:39:36 | 0:39:38 | |
'Professor Sandy Pentland believes he can tell not just | 0:39:38 | 0:39:42 | |
'what's going on in our bodies, but in our minds too.' | 0:39:42 | 0:39:45 | |
'And he can do it with something that most of us already own - | 0:39:46 | 0:39:51 | |
'a smartphone.' | 0:39:51 | 0:39:53 | |
Phones know a lot about your social life, who you call, who you | 0:39:53 | 0:39:57 | |
communicate with, a lot about your daily activities, where you go. | 0:39:57 | 0:40:02 | |
And so if you put the two together, you can do things like assess | 0:40:02 | 0:40:04 | |
mental health, and you can actually get a picture of how you're | 0:40:04 | 0:40:08 | |
doing constantly, 24/7. | 0:40:08 | 0:40:10 | |
Sandy was asked to develop an app to help spot signs of depression | 0:40:12 | 0:40:17 | |
and post-traumatic stress in soldiers returning from war. | 0:40:17 | 0:40:21 | |
I am curious because I've had your app on my phone for a few | 0:40:24 | 0:40:27 | |
days now and I'm not entirely sure what it's doing, | 0:40:27 | 0:40:31 | |
so I'm hoping you can explain. | 0:40:31 | 0:40:33 | |
OK, well, it kept track of things like your socialisation, | 0:40:33 | 0:40:38 | |
your focus and your activity levels | 0:40:38 | 0:40:40 | |
and these are key things for assessing mental health. | 0:40:40 | 0:40:43 | |
Tell me what you've found out about me. | 0:40:43 | 0:40:45 | |
Well, let's look at it here | 0:40:45 | 0:40:47 | |
and see what you've been doing and then what it's been doing. | 0:40:47 | 0:40:52 | |
So, first of all, we can see your activity level - are you | 0:40:52 | 0:40:56 | |
curled in a ball some place and you never get out of your bed, or | 0:40:56 | 0:40:59 | |
are you out and around, or are you sort of manic and you're everywhere? | 0:40:59 | 0:41:03 | |
So you see a five over on the left-hand side, | 0:41:03 | 0:41:06 | |
that's how active you've been, and on the right is | 0:41:06 | 0:41:09 | |
the average, so you're just exactly average when it comes to activity. | 0:41:09 | 0:41:14 | |
A drop in physical activity often goes hand in hand with depression. | 0:41:17 | 0:41:22 | |
But Sandy can track much more. | 0:41:23 | 0:41:25 | |
By monitoring my phone use, | 0:41:26 | 0:41:28 | |
he can also tell how I'm interacting socially. | 0:41:28 | 0:41:32 | |
Do you call your friends? | 0:41:33 | 0:41:35 | |
Do you call workmates, things like that? | 0:41:35 | 0:41:38 | |
Phones can also sense when there's other people around | 0:41:38 | 0:41:40 | |
because they have these little short range radios called Bluetooth. | 0:41:40 | 0:41:43 | |
And so my phone can see your phone, and they can shake hands. | 0:41:43 | 0:41:47 | |
And if we go over here, to Social, | 0:41:47 | 0:41:51 | |
you'll see that you're quite a bit more social than other people. | 0:41:51 | 0:41:54 | |
So you're good to go here, this is good. | 0:41:54 | 0:41:58 | |
And then if we go down here, this is Focus and you can see that | 0:41:58 | 0:42:03 | |
you're a little bit more focused than the average person. | 0:42:03 | 0:42:07 | |
But how does it know about my focus? What do you mean by that? | 0:42:07 | 0:42:10 | |
We all know what happens when you're not focused. | 0:42:10 | 0:42:12 | |
One of the things that people do is that they fuss with their phone, | 0:42:12 | 0:42:16 | |
they look at their messages, they read news, they...you know, | 0:42:16 | 0:42:19 | |
so you can get a sense of whether you're focused | 0:42:19 | 0:42:22 | |
or whether you're distracted all the time. | 0:42:22 | 0:42:25 | |
Though it seems astonishing that the way you use your phone | 0:42:28 | 0:42:31 | |
could give an insight into your state of mind, trials of Sandy's app | 0:42:31 | 0:42:35 | |
have demonstrated its success when compared with a doctor. | 0:42:35 | 0:42:39 | |
Sandy's convinced that mobile phones might have a huge role | 0:42:40 | 0:42:44 | |
to play in keeping us healthy. | 0:42:44 | 0:42:46 | |
In fact, he believes they might even be able to prevent | 0:42:47 | 0:42:50 | |
the spread of diseases that affect millions. | 0:42:50 | 0:42:54 | |
It turns out that when people get the flu they behave differently. | 0:42:58 | 0:43:02 | |
They begin to retract a little bit, they don't feel so good, | 0:43:02 | 0:43:05 | |
they call different people, they tend to call their friends | 0:43:05 | 0:43:08 | |
more than their workmates, things like that. | 0:43:08 | 0:43:11 | |
And it's actually a signature that you can detect | 0:43:11 | 0:43:13 | |
with about 80% accuracy. | 0:43:13 | 0:43:15 | |
So I could see when you look like you're getting the flu | 0:43:18 | 0:43:21 | |
and I can see that somebody else is not getting the flu... | 0:43:21 | 0:43:25 | |
..and then I can see that the two of you spent some time together... | 0:43:27 | 0:43:30 | |
..and they began to get | 0:43:32 | 0:43:33 | |
flu behaviour, which tells me that you infected them at that meeting. | 0:43:33 | 0:43:39 | |
And, of course, normal flu is not that bad | 0:43:39 | 0:43:42 | |
but every once in a while we get these pandemics that kill | 0:43:42 | 0:43:45 | |
literally hundreds of millions of people | 0:43:45 | 0:43:47 | |
and we're defenceless against it. | 0:43:47 | 0:43:48 | |
This is a startling thing - the idea that you might track the | 0:43:48 | 0:43:51 | |
spread of a pandemic by something other than taking blood tests from | 0:43:51 | 0:43:55 | |
people or saliva samples, or them going and seeing their physician. | 0:43:55 | 0:43:59 | |
It's a rather amazing thing that you could actually watch | 0:43:59 | 0:44:03 | |
the progress of the disease... | 0:44:03 | 0:44:05 | |
..because then you could actually do something about it. | 0:44:07 | 0:44:09 | |
You could say, "OK, people in this neighbourhood | 0:44:12 | 0:44:14 | |
"don't go to work today." | 0:44:14 | 0:44:16 | |
Or, "Don't go to this cafeteria." | 0:44:17 | 0:44:20 | |
Or whatever sort of intervention you want. | 0:44:20 | 0:44:23 | |
But you could actually begin stopping it. | 0:44:24 | 0:44:27 | |
But to bring about this game-changing shift in health care, | 0:44:38 | 0:44:41 | |
we'll need to give up our most personal information | 0:44:41 | 0:44:45 | |
to people who can mine it and spot the patterns within. | 0:44:45 | 0:44:49 | |
And, understandably, not everyone will be comfortable with that. | 0:44:49 | 0:44:54 | |
The world is now full of people with their mobile phones | 0:44:56 | 0:44:59 | |
and their mobile devices streaming terabytes of information | 0:44:59 | 0:45:03 | |
about their habits and their daily lives. And I completely | 0:45:03 | 0:45:07 | |
understand the unease that people feel about giving | 0:45:07 | 0:45:10 | |
that information up to others. | 0:45:10 | 0:45:13 | |
But, in medicine, that's all we've ever done. | 0:45:13 | 0:45:17 | |
We've gone to doctors, strangers, and we've told them | 0:45:17 | 0:45:21 | |
those intimate details in the hope that they might bring us help. | 0:45:21 | 0:45:26 | |
And in a sense, that's what Sandy Pentland and people like him | 0:45:28 | 0:45:33 | |
are trying to do, just taking that model and dragging it into | 0:45:33 | 0:45:37 | |
the 21st century in the hope that will change the face of medicine. | 0:45:37 | 0:45:42 | |
Over the last couple of weeks, I've become increasingly | 0:45:50 | 0:45:53 | |
obsessed about monitoring myself. | 0:45:53 | 0:45:55 | |
But I'm starting to realise that there's much more to this | 0:45:56 | 0:45:59 | |
than just doing more exercise. | 0:45:59 | 0:46:02 | |
By monitoring ourselves and pooling that information, | 0:46:03 | 0:46:07 | |
we could unearth knowledge | 0:46:07 | 0:46:09 | |
that would revolutionise the way we practise medicine. | 0:46:09 | 0:46:12 | |
We could share our data and begin to look for patterns that unlock | 0:46:14 | 0:46:18 | |
the secrets of human health. | 0:46:18 | 0:46:21 | |
I've come to a small town in Florida | 0:46:31 | 0:46:34 | |
to meet someone who's looking for those patterns, | 0:46:34 | 0:46:37 | |
and who's moving forwards at a pace that seems barely believable. | 0:46:37 | 0:46:41 | |
So far, we've had a hint of the shape of things to come | 0:46:46 | 0:46:49 | |
for the future of medicine. | 0:46:49 | 0:46:51 | |
But the girl I'm about to talk to IS the future of medicine, | 0:46:52 | 0:46:56 | |
and, incredibly, she doesn't have a medical degree. | 0:46:56 | 0:46:59 | |
In fact, she doesn't have a degree at all | 0:46:59 | 0:47:02 | |
and that's because she's still at school. | 0:47:02 | 0:47:05 | |
I mean, I think it's exciting that as a teenager I've been | 0:47:10 | 0:47:12 | |
able to find something | 0:47:12 | 0:47:14 | |
I'm so passionate about that I want to spend my weekends working. | 0:47:14 | 0:47:17 | |
'What sets Brittany Wenger apart are her computer-coding skills.' | 0:47:17 | 0:47:22 | |
There is a community of us out there who are really interested | 0:47:22 | 0:47:25 | |
in science and through the different kind of science competitions... | 0:47:25 | 0:47:29 | |
'She recently won the prestigious Google Science Fair | 0:47:29 | 0:47:31 | |
'for a computer program she's written.' | 0:47:31 | 0:47:33 | |
I think I'd always had a pretty keen interest in computers but then | 0:47:33 | 0:47:37 | |
in seventh grade I was taking this course on futuristic thinking. | 0:47:37 | 0:47:40 | |
In seventh grade... How old were you in seventh grade? | 0:47:40 | 0:47:42 | |
-So that would be about 11 or 12. -Right. | 0:47:42 | 0:47:45 | |
And I came across a concept that computers could actually be | 0:47:45 | 0:47:47 | |
programmed to transcend human knowledge and to detect | 0:47:47 | 0:47:51 | |
really complicated patterns that humans have no idea how to detect. | 0:47:51 | 0:47:55 | |
So I was enthralled and I went home, I started buying coding books | 0:47:55 | 0:47:58 | |
and I decided to teach myself how to code. | 0:47:58 | 0:48:01 | |
'What happened next was a family tragedy that inspired | 0:48:01 | 0:48:05 | |
'Brittany to do something remarkable.' | 0:48:05 | 0:48:07 | |
I was 15, my cousin was actually diagnosed with breast cancer | 0:48:08 | 0:48:11 | |
and I saw first-hand the kind of impact this disease | 0:48:11 | 0:48:14 | |
has on a woman and her family. | 0:48:14 | 0:48:15 | |
So I got really inspired to get involved and make a difference | 0:48:15 | 0:48:18 | |
and I started researching breast cancer. | 0:48:18 | 0:48:20 | |
And so that's when I really wanted to connect my two passions | 0:48:20 | 0:48:23 | |
and try to create a better breast cancer diagnostic system. | 0:48:23 | 0:48:26 | |
'And she's written this program in her spare time.' | 0:48:26 | 0:48:31 | |
'Looking at a biopsy of human tissue to determine | 0:48:39 | 0:48:42 | |
'whether it's cancerous or not is a notoriously difficult thing to do.' | 0:48:42 | 0:48:46 | |
'Brittany's program is designed to help doctors | 0:48:48 | 0:48:51 | |
'to analyse what they're seeing.' | 0:48:51 | 0:48:53 | |
So, for example, see these nucleoli, they're the small dots. | 0:48:53 | 0:48:57 | |
The small dots, right. | 0:48:57 | 0:48:59 | |
They're really prominent and there are multiple ones per cell. | 0:48:59 | 0:49:02 | |
And that could mean that the mass is cancerous. | 0:49:02 | 0:49:04 | |
But that is actually benign. | 0:49:04 | 0:49:06 | |
And this is just an example of why they are | 0:49:06 | 0:49:08 | |
so difficult to diagnose, because even this benign mass is | 0:49:08 | 0:49:12 | |
exhibiting some cancerous attributes. | 0:49:12 | 0:49:14 | |
I have horrible nightmares of spending hours staring at these | 0:49:14 | 0:49:18 | |
slides at medical school, trying to decide whether it was cancer or not. | 0:49:18 | 0:49:24 | |
And it just seemed nearly impossible to me. | 0:49:24 | 0:49:28 | |
I mean, this is a tough task. | 0:49:28 | 0:49:30 | |
'It's an incredibly difficult task, | 0:49:30 | 0:49:33 | |
'for which Brittany has found a solution.' | 0:49:33 | 0:49:36 | |
So what I did is I created an artificial neural network | 0:49:36 | 0:49:38 | |
which is this really cool type of program that can | 0:49:38 | 0:49:40 | |
model a brain's neurons and their interconnections, so it can actually | 0:49:40 | 0:49:44 | |
learn how to detect patterns that humans have no idea how to detect. | 0:49:44 | 0:49:48 | |
And in the end it learns how to detect | 0:49:48 | 0:49:50 | |
whether these masses are cancerous or not. | 0:49:50 | 0:49:54 | |
So your computer knows how to do this? | 0:49:54 | 0:49:57 | |
Yes. It actually diagnoses over 99% of cancer patients correctly, | 0:49:57 | 0:50:02 | |
which is huge. | 0:50:02 | 0:50:04 | |
Yes, so 99% of the time it will pick it up? | 0:50:04 | 0:50:07 | |
Yes, which... It's exciting when you think about it. | 0:50:07 | 0:50:11 | |
Er, it's more than exciting. | 0:50:11 | 0:50:14 | |
'Brittany's program effectively turns a doctor's hunch about | 0:50:14 | 0:50:17 | |
'whether a biopsy is cancerous into something far more scientific.' | 0:50:17 | 0:50:23 | |
So what this does is provides a set of nine pretty objective | 0:50:23 | 0:50:27 | |
questions about what they're seeing on the screen in front of them, | 0:50:27 | 0:50:30 | |
and then feeds that quite complicated set of information | 0:50:30 | 0:50:36 | |
to your program which then instantly decides cancer or not cancer? | 0:50:36 | 0:50:41 | |
Yeah, exactly. | 0:50:41 | 0:50:42 | |
It's able to detect patterns in this scoring system that are too | 0:50:42 | 0:50:46 | |
subtle for humans to detect. | 0:50:46 | 0:50:49 | |
So doctors enter these different values, | 0:50:49 | 0:50:51 | |
and then they would click send, and in under a second, | 0:50:51 | 0:50:54 | |
the service is able to respond | 0:50:54 | 0:50:56 | |
as to whether it thinks it's cancerous or not, | 0:50:56 | 0:50:58 | |
and so this particular mass would be cancerous. | 0:50:58 | 0:51:01 | |
Wow! That's gobsmacking. I mean, absolutely gobsmacking! | 0:51:01 | 0:51:06 | |
I feel like I've had a glimpse of the future - | 0:51:11 | 0:51:14 | |
a sense of the great prizes we might | 0:51:14 | 0:51:17 | |
find in the huge volumes of data | 0:51:17 | 0:51:20 | |
that monitoring our bodies can give us. | 0:51:20 | 0:51:24 | |
I've come back to the UK... | 0:51:33 | 0:51:34 | |
..and to the information that could change our lives today. | 0:51:37 | 0:51:41 | |
'Three weeks ago, I began an experiment in self-monitoring.' | 0:51:49 | 0:51:52 | |
-Hello! -Hi, Kevin. -Hi! | 0:51:52 | 0:51:56 | |
'Celia, Cathy, Pam, and I wanted to see if anyone could get healthier, | 0:51:56 | 0:52:01 | |
'lose weight, or find out how to sleep better. | 0:52:01 | 0:52:05 | |
'Now it's time to see if anything has changed.' | 0:52:05 | 0:52:08 | |
And what have you found out about us then? | 0:52:08 | 0:52:10 | |
Well, quite a few interesting things. | 0:52:10 | 0:52:12 | |
I know when everyone goes to bed, when everyone wakes up, | 0:52:12 | 0:52:14 | |
where they go every day, erm... | 0:52:14 | 0:52:17 | |
how much sleep they get, how much deep sleep - | 0:52:17 | 0:52:19 | |
pretty much everything. | 0:52:19 | 0:52:21 | |
And, in fact, Kevin, you had the lowest average sleep of everyone. | 0:52:21 | 0:52:25 | |
I think it must be medical training that did that. | 0:52:25 | 0:52:29 | |
So, my average sleep was what sort of hours? | 0:52:29 | 0:52:33 | |
About 6.7 hours a night. | 0:52:33 | 0:52:35 | |
It's well below what people generally believe is normal. | 0:52:35 | 0:52:38 | |
And, Cathy, you were the most consistent of all because, | 0:52:38 | 0:52:41 | |
as you can see, you were just under eight hours. | 0:52:41 | 0:52:43 | |
You're about 7.8 every night. | 0:52:43 | 0:52:45 | |
And Pam had the highest average. You have over eight hours a night, | 0:52:45 | 0:52:49 | |
and that is fairly consistent. | 0:52:49 | 0:52:51 | |
I think I'm sleeping better than I used to. | 0:52:51 | 0:52:54 | |
My sleep pattern was really, really bad. | 0:52:54 | 0:52:57 | |
And I do think I have slept better with the extra exercise. | 0:52:57 | 0:53:02 | |
The peaks on Pam's sleep graphs tell us | 0:53:04 | 0:53:07 | |
when she was awake or sleeping lightly. | 0:53:07 | 0:53:09 | |
The troughs show when she was sleeping deeply. | 0:53:10 | 0:53:14 | |
With graphs from every night, | 0:53:15 | 0:53:17 | |
there's the potential to find out how to sleep better. | 0:53:17 | 0:53:21 | |
It was saying that I was having about an hour of deep sleep | 0:53:24 | 0:53:27 | |
and I found that slightly concerning because I'm wondering | 0:53:27 | 0:53:30 | |
whether I need more deep sleep than just that short amount. | 0:53:30 | 0:53:34 | |
You may only need an hour of deep sleep to feel good. | 0:53:34 | 0:53:37 | |
You've got to know what's normal for you, and what affects your sleep. | 0:53:37 | 0:53:40 | |
So did you find anything affected your sleep? | 0:53:40 | 0:53:42 | |
Well, there was two nights this week when I had one glass of red wine. | 0:53:42 | 0:53:46 | |
Now, I try not to drink during the week, but up until that point, | 0:53:46 | 0:53:50 | |
I'd been having round about the hour of deep sleep in a night. | 0:53:50 | 0:53:55 | |
On those two nights, my deep sleep went down to 36 minutes | 0:53:55 | 0:53:58 | |
on one night, and 34 minutes on another. | 0:53:58 | 0:54:01 | |
Perhaps red wine and me don't mix for my deep sleep. | 0:54:01 | 0:54:04 | |
I realised that even if I have a decaf coffee, | 0:54:04 | 0:54:07 | |
which I used to have about 9ish, I have a bad sleep, | 0:54:07 | 0:54:11 | |
so I've knocked that on the head completely now. | 0:54:11 | 0:54:14 | |
That's one of the incredible benefits of self-monitoring - | 0:54:14 | 0:54:18 | |
it allows us to learn things about ourselves | 0:54:18 | 0:54:20 | |
and change our behaviour for the better. | 0:54:20 | 0:54:23 | |
So did it make a difference to our fitness or even our weight? | 0:54:23 | 0:54:27 | |
So we've got the daily step count total. | 0:54:27 | 0:54:31 | |
Everyone started coalescing, actually, | 0:54:31 | 0:54:33 | |
around a 10,000 step average per day, | 0:54:33 | 0:54:35 | |
which is what the general guideline is to keep active, | 0:54:35 | 0:54:39 | |
especially for people in sedentary jobs like us. | 0:54:39 | 0:54:41 | |
This three weeks has been quite a revelation for me. | 0:54:41 | 0:54:44 | |
Cos I went out consciously most days to do extra steps. | 0:54:44 | 0:54:49 | |
You sort of get in this you can't stop | 0:54:49 | 0:54:51 | |
until you've reached that magic 10,000. | 0:54:51 | 0:54:54 | |
In a way it's a bit crazy. | 0:54:54 | 0:54:55 | |
And, Celia, did you ever get to the point of madness with any of this stuff? | 0:54:55 | 0:54:58 | |
I had got to the point where I would set myself a goal for the day | 0:54:58 | 0:55:03 | |
and, if I hadn't met it, then I did end up running on the spot | 0:55:03 | 0:55:07 | |
as I was watching television, or just trying to get those steps up. | 0:55:07 | 0:55:12 | |
Do you think you've seen improvements in your health | 0:55:12 | 0:55:15 | |
other than just doing a whole bunch of steps? | 0:55:15 | 0:55:17 | |
We've all lost weight doing the challenge so that's a good thing. | 0:55:17 | 0:55:20 | |
I lost about four pounds. | 0:55:20 | 0:55:21 | |
I lost four and a half, so... | 0:55:21 | 0:55:23 | |
I lost two and a half so the extra exercise does pay off. | 0:55:23 | 0:55:27 | |
I did very little before. | 0:55:27 | 0:55:29 | |
I'd sit at my desk all day in front of a computer, | 0:55:29 | 0:55:31 | |
I didn't walk the dog that often. | 0:55:31 | 0:55:33 | |
Now I go home from work and I'm out there walking the dog. | 0:55:33 | 0:55:37 | |
Same as Pam. We're going out for walks, I'm going out for walks in the evening. | 0:55:37 | 0:55:42 | |
So I am... I have changed and I will continue. | 0:55:42 | 0:55:44 | |
It's interesting that Cathy, Celia | 0:55:46 | 0:55:49 | |
and Pam all in their own way managed to change their behaviour. | 0:55:49 | 0:55:53 | |
They all increased the amount of activity they did. | 0:55:53 | 0:55:56 | |
And that's more than a bit of fun, that's important | 0:55:56 | 0:55:59 | |
because, in medicine, if you could prescribe one thing | 0:55:59 | 0:56:02 | |
that would improve everybody's health, | 0:56:02 | 0:56:05 | |
then that thing would be exercise. | 0:56:05 | 0:56:07 | |
Exercise improves your physiology in ways that doctors | 0:56:07 | 0:56:10 | |
and pills alone never could. | 0:56:10 | 0:56:13 | |
And so that's what even those simple devices have managed to achieve - | 0:56:13 | 0:56:17 | |
they've managed to help people change their behaviour in ways | 0:56:17 | 0:56:22 | |
that were otherwise impossible before. | 0:56:22 | 0:56:24 | |
Today we all have the capacity to monitor our health. | 0:56:29 | 0:56:34 | |
The devices we carry already do it without us even noticing. | 0:56:34 | 0:56:37 | |
And in the data that we gather lies great opportunity. | 0:56:39 | 0:56:42 | |
But ultimately, it's what we choose to do with that information | 0:56:44 | 0:56:48 | |
that will make all the difference. | 0:56:48 | 0:56:50 | |
We stand early in the 21st century, | 0:56:54 | 0:56:56 | |
looking for the things that will transform medicine in the same way | 0:56:56 | 0:57:00 | |
that antibiotics and vaccinations did at the start of the 20th. | 0:57:00 | 0:57:04 | |
But I've become convinced over the last few weeks, | 0:57:05 | 0:57:08 | |
through everything I've seen, | 0:57:08 | 0:57:10 | |
that this digital revolution really might achieve that. | 0:57:10 | 0:57:13 | |
By giving us access to information that we never before had, | 0:57:14 | 0:57:18 | |
by helping us understand our bodies | 0:57:18 | 0:57:20 | |
and the consequences of the things we do in our lives, | 0:57:20 | 0:57:23 | |
I really do think that this might be the key to longer, healthier lives. | 0:57:23 | 0:57:30 | |
Subtitles by Red Bee Media Ltd | 0:57:53 | 0:57:56 |