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An AI smartwatch that detects seizures

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    This is Henry,
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    a cute boy,
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    and when Henry was three,
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    his mom found him having
    some febrile seizures.
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    Febrile seizures are seizures that occur
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    when you also have a fever,
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    and the doctor said,
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    "Don't worry too much.
    Kids usually outgrow these."
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    When he was four,
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    he had a convulsive seizure,
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    the kind that you lose consciousness
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    and shake,
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    generalized tonic-clonic seizure,
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    and while the diagnosis of epilepsy
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    was in the mail,
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    Henry's mom went to get him
    out of bed one morning,
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    and as she went in his room,
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    she found his cold, lifeless body.
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    Henry died of SUDEP,
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    Sudden Unexpected Death in Epilepsy.
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    I'm curious how many of you
    have heard of SUDEP?
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    This is a very well-educated audience,
    and I see only a few hands.
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    SUDEP is when an otherwise
    healthy person with epilepsy
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    dies and they can't attribute it
    to anything they can find in an autopsy.
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    There is a SUDEP
    every seven to nine minutes.
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    That's on average two per TED Talk.
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    Now, a normal brain
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    has electrical activity.
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    You can see some of the electrical waves
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    coming out of this picture
    of a brain here.
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    And these should look
    like typical electrical activity
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    that an EEG could read on the surface.
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    When you have a seizure,
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    it's a bit of unusual electrical activity,
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    and it can be focal.
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    It can take place in just
    a small part of your brain.
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    When that happens,
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    you might have a strange sensation.
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    One could be happening,
    several could be happening
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    here in the audience right now
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    and the person next to you
    might not even know.
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    However, if you have a seizure
    where that little brush fire
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    spreads like a forest fire over the brain,
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    then it generalizes,
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    and that generalized seizure
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    takes your consciousness away
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    and causes you to convulse.
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    There are more SUDEPs
    in the United States every year
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    than Sudden Infant Death Syndrome.
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    Now, how many of you have heard
    of Sudden Infant Death Syndrome.
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    Right? Pretty much every hand goes up.
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    So what's going on here?
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    Why is this so much more common
    and yet people haven't heard of it?
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    And what can you do to prevent it?
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    Well, there are two things
    scientifically shown
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    that prevent or reduce the risk of SUDEP.
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    The first is follow
    your doctor's instructions,
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    take your medications.
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    Two thirds of people who have epilepsy
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    get it under control
    with their medications.
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    the second thing that reduces
    the risk of SUDEP is companionship.
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    It's having somebody there
    at the time that you have a seizure.
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    Now, SUDEP, even though
    most of you have never heard of it,
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    is actually the number two cause
    of years of potential life lost
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    of all neurological disorders.
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    The vertical axis is the number of deaths
    times the remaining lifespan,
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    so higher is much worse impact.
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    SUDEP, however, unlike these others
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    is something that people right here
    could do something to push that down.
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    Now, what is Ros Picard, an AI researcher,
    doing here telling you about SUDEP? Right?
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    I'm not a neurologist.
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    When I was working at the Media Lab
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    on measurement of emotion,
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    trying to make our machines
    more intelligent about our emotions,
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    we started doing a lot of work
    measuring stress.
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    We built lots of censors
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    that measured it
    in lots of different ways.
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    But one of them in particular
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    grew out of some of this very old work
    with measuring sweaty palms
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    with an electrical signal.
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    This is a signal of skin conductance
    that's known to go up
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    when you get nervous,
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    but it turns out it also goes up with
    a lot of other interesting conditions.
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    But measuring it with wires on your hand
    is really inconvenient.
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    So we invented a bunch of other ways
    of doing this at the MIT Media Lab,
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    And with these wearables,
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    we started to collect the first ever
    clinical quality data 24/7.
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    Here's a picture of what that looked like
    the first time that an MIT student
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    collected skin conductance
    on the wrist 24/7.
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    Let's zoom in a little bit here.
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    What you see is 24 hours
    from left to right,
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    and here is two days of data,
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    and first what's surprised us
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    is the sleep was
    the biggest peak of the day.
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    Now, that sound broken. Right?
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    You're calm when you're asleep,
    so what's going on here?
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    Well, it turns out that
    our physiology during sleep
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    is very different than
    our physiology during wake,
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    and while there's still a bit of a mystery
    why these peaks are usually
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    the biggest of the day during sleep,
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    we now believe they're related
    to memory consolidation
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    and memory formation during sleep.
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    We also saw things that were
    exactly what we expected.
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    When an MIT student
    is working hard in the lab
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    or on homework,
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    there is not only emotional stress,
    but there's cognitive load,
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    and it turns out that cognitive load,
    cognitive effort, mental engagement,
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    excitement about learning something,
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    those things also make the signal go up.
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    Unfortunately, to the embarrassment
    of the MIT professors,
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    the low point every day
    is classroom activity.
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    Now, I am just showing you
    one person's data here,
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    but this unfortunately is true in general.
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    This sweatband has inside it
    a home-built skin conductance sensor,
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    and one day, one of our undergrads
    knocked on my door
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    right at the end of the December semester,
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    and he said, "Professor Picard,
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    can I please borrow
    one of your wrist band sensors?
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    My little brother has autism,
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    he can't talk,
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    and I want to see
    what's stressing him out."
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    And I said, "Sure, in fact,
    don't just take one, take two,"
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    because they broke easily back then.
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    So he took them home,
    he put them on his little brother.
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    Now, I was back in MIT
    looking at the data on my laptop,
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    and the first day, I thought,
    hmm, that's on,
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    he put them on both wrists
    instead of waiting for one to break.
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    OK, fine, don't follow my instructions.
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    I'm glad he didn't.
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    Second day, chill,
    looked like classroom activity.
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    A few more days ahead.
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    The next day, one missed signal was flat
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    and the other had
    the biggest peak I've ever seen,
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    and I thought, what's going on?
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    We've stressed people out at MIT
    every way imaginable.
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    I've never seen a peak this big.
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    And it was only on one side.
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    How can you be stressed on one side
    of your body and not the other?
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    So I thought one or both
    sensors must be broken.
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    Now, I'm an electro engineer by training,
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    so I started
Title:
An AI smartwatch that detects seizures
Speaker:
Rosalind Picard
Description:

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Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
15:54

English subtitles

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