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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 a whole bunch of stuff
    to try to debug this,
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    and long story short,
    I could not reproduce this.
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    So I resorted to old-fashioned debugging.
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    I called the student at home on vacation.
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    "Hi, how's your little brother?
    How's your Christmas?
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    Hey, do you have any idea
    what happened to him?"
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    And I gave this particular date and time,
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    and the data.
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    And he said, "I don't know,
    I'll check the diary."
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    Diary? MIT student keeps a diary?
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    So I waited and he came back.
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    He had the exact date and time,
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    and he says, "That was right before
    he had a grand mal seizure."
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    Now, at the time, I didn't know
    anything about epilepsy,
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    and did a bunch of researcher,
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    realized that another student's dad
    is chief of neurosurgery
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    at Children's Hospital Boston,
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    screwed up my courage
    and called Dr. Joe Madsen.
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    "Hi, Dr. Madsen,
    my name's Rosalind Picard.
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    Is it possible somebody could have
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    a huge sympathetic
    nervous system surge" --
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    that's what drives the skin conductance --
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    "20 minutes before a seizure?"
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    And he says, "Probably not."
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    He says, "It's interesting.
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    We've had people whose hair
    stands on end on one arm
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    20 minutes before a seizure."
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    And I'm like, "On one arm?"
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    I didn't want to tell him that initially
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    because I thought this was too ridiculous.
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    He explained how
    this could happen in the brain,
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    and he got interested.
    I showed him the data.
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    We made a whole bunch more devices,
    got them safety certified,
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    90 families were being enrolled in a study
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    all with children who were going
    to be monitored 24/7
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    with gold standard EEG on their scalp
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    for reading the brain activity,
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    video to watch the behavior,
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    electrocardiogram ECG,
    and now EDA, electrodermal activity,
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    to see if there was
    something in this periphery
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    that we could easily pick up
    related to a seizure.
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    We found in 100 percent
    of the first batch of grand mal seizures
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    these whopper of responses
    in the skin conductance.
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    The blue in the middle, the boy's sleep,
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    is usually the biggest peak of the day.
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    These three seizures you see here
    are popping out of the forest
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    like redwood trees.
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    Furthermore, when you couple
    these skin conductance at the top
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    with the movement from the wrist
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    and you get lots of data
    and train machine learning and AI on it,
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    you can build an automated AI
    that detects these patterns
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    much better than just
    a shake detector can do.
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    So we realized that we needed
    to get this out,
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    and with the PhD work
    of ??
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    and later great
    improvements by Empatica,
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    this has made progress and the seizure
    detection is much more accurate.
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    But we also learned some other things
    about SUDEP during this.
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    One thing we learned
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    is that SUDEP is,
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    while it's rare after
    a generalized tonic-clonic seizure,
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    that's when it's most likely
    to happen after that type,
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    and when it happens,
    it doesn't happen during the seizure,
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    and it doesn't usually happen
    immediately afterwards,
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    but immediately afterwards when the person
    just seems very still and quite,
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    they may go into another phase
    where the breathing stops,
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    and then after the breathing stops,
    later the heart stops.
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    So there's some time
    to get somebody there.
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    We also learned that there is a region
    deep in the brain called the amygdala,
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    which we had been studying
    in our emotion research a lot.
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    We have two amygdalas,
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    and if you stimulate the right one,
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    you get a big right
    skin conductance response.
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    Now, you have to sign up right now
    for a craniotomy to get this done,
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    not exactly something
    you're going to volunteer to do,
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    but it causes a big right skin
    conductance response.
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    Stimulate the left one, big left
    skin conductance response on the palm.
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    And furthermore,
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    when somebody stimulates your amygdala
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    while you're sitting there
    and you might just be working,
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    you don't show any signs of distress,
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    but you stop breathing,
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    and you don't start again
    until somebody stimulates you.
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    "Hey, Ros, are you there?"
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    And you open your mouth to talk.
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    As you take that breath to speak,
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    you start breathing again.
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    So we had started with work on stress,
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    which had enabled us
    to build lots of sensors
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    that were gathering
    high quality enough data
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    that we could leave the lab
    and start to get this in the wild,
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    accidentally found a whopper
    of a response with the seizure,
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    neurological activation that can cause
    a much bigger response
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    than traditional stressors,
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    lots of partnership with hospitals
    and an epilepsy monitoring unit,
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    especially Children's Hospital Boston
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    and the Brigham,
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    and machine learning and AI on top of this
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    to take and collect lots more data
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    in service of trying
    to understand these events
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    and if we could prevent SUDEP.
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    This is now commercialized by Empatica,
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    a startup that I had
    the privilege to cofound,
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    and the team there has done an amazing job
    improving the technology
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    to make a very beautiful sensor
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    that not only tells time and does steps
    and sleep and all that good stuff,
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    but this is running real time
    AI and machine learning
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    to detect generalized
    tonic-clonic seizures
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    and send an alert for help
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    if I were to have a seizure
    and lose consciousness.
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    This just got FDA-approved
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    as the first smartwatch
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    to get approved in neurology.
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    (Applause)
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    Now the next slide is what made
    my skin conductance go up.
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    One morning, I'm checking my email
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    and I see a story from a mom
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    who said she was in the shower
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    and her phone was
    on the counter by the shower,
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    and it said her daughter
    might need her help.
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    So she interrupts her shower and goes
    running to her daughter's bedroom,
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    and she finds her daughter
    face down in bed blue and not breathing.
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    She flips her over, human stimulation,
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    and her daughter takes a breath,
    and another breath,
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    and her daughter turns pink and is fine.
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    I think I turned white reading this email.
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    My first response is,
    "Oh no, it's not perfect.
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    The Bluetooth could break.
    The battery could die.
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    All these things could go wrong.
    Don't rely on this."
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    And she said, "It's OK.
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    I know no technology is perfect.
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    None of us can always
    be there all the time.
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    But this, this device plus AI
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    enabled me to get there in time
    to save my daughter's life.
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    Now, I've been mentioning children,
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    but SUDEP peaks actually among people
    in their 20s, 30s, and 40s,
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    and the next line I'm going to put up
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    is probably going to make
    some people uncomfortable,
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    but it's less uncomfortable
    than we'll all be
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    if this list is extended
    to somebody you know.
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    Could this happen to somebody you know?
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    And the reason I bring up
    this uncomfortable question
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    is because one in 26 of you
    will have epilepsy at some point,
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    and from what I've been learning,
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    people with epilepsy often don't tell
    their friends and their neighbors
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    that they have it.
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    So if you're willing to let them
    use an AI or whatever
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    to summon you in a moment
    of possible need,
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    if you would let them know that,
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    you could make a difference in their life.
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    Why do all this hard work to build AIs?
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    A couple of reasons here:
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    one is Natasha, the girl who lived,
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    and her family wanted me
    to tell you her name.
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    Another is family
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    and the wonderful people out there
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    who want to be there to support people
    who have conditions
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    that they've felt uncomfortable
    in the past mentioning to others.
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    And the other reason is all of you,
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    because we have the opportunity
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    to shape the future of AI.
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    We can actually change it,
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    because we are the ones building it.
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    So let's build AI
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    that makes everybody's lives better.
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    Thank you.
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    (Applause)
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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