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00:00:00
Sorry introduction good evening
00:00:02
everybody. So we are gate up and we are
00:00:04
changing the way people do most
00:00:06
analyses we were rebels why movement is
00:00:10
important. What movement is more than
00:00:13
importance movement is essential
00:00:15
normalise movement always to come to
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this room to move itself redone it's a
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basis for everyday life unfortunately
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can be affected my trauma these these
00:00:25
ageing of falls okay so this is false
00:00:35
this is bad things happen in the real
00:00:37
world. We live with before you can
00:00:39
injure you'll you have you can have hip
00:00:42
fracture can find many bad consequences
00:00:45
it destroys lives and it cost billions
00:00:48
was decided well how can we tell that
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this man was gonna fall if you go to a
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geriatrics and very expert you name it
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takes time look at him and and these
00:01:01
guys a bit for time week we should do
00:01:03
something. But guess what doctors don't
00:01:05
have the time to do that can we use a
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fit be tracker no way you cannot tell
00:01:10
you with these guys gonna fall. So what
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can we do. It's why gate up arrive at
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gate up what we do is providing the
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most advanced motion on on I takes with
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the way roles and white is a most white
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is needed because with these accurate
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data you can support a diagnostics
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prevent the fall from happening because
00:01:31
once it happens it's too late. And you
00:01:33
can follow rise intervention means if
00:01:35
you like given medication to the
00:01:37
patient you can see the progress thanks
00:01:40
to a change in the data to to see
00:01:44
summarise what it is motion sensing
00:01:46
this is a pretty new domain happening
00:01:49
now it's two biomechanics what is CG as
00:01:52
being too casual or G twenty years ago
00:01:54
but it's it's a pretty in touch
00:01:56
subject. So the data we cover the full
00:01:59
saying. We do the stencils we provide
00:02:02
applications in health but also in
00:02:04
support because movement is the
00:02:06
essential for both then we do. So
00:02:08
algorithm and the software that is
00:02:10
really the core of our know how do you
00:02:12
see for example the speed here as a
00:02:14
colour code means if your guy is in the
00:02:16
red zone unions he would he he has more
00:02:19
chance to fall in the year viability
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has been so nice to be only signs of
00:02:24
parkinson's disease for example. And
00:02:26
symmetry this is after operation
00:02:29
surgical operation for example you have
00:02:31
any questions again and you can see the
00:02:34
progress after shows surgery. And where
00:02:37
really how data enable Irene I see
00:02:39
happening in when the professionals
00:02:42
used is that as an Ally ticks to share
00:02:45
temptation the progress justify why the
00:02:48
need intervention or not or in the
00:02:50
sports for example to tell then which
00:02:52
to the need for an in the next twenty
00:02:55
kilometres in lausanne. So just an
00:02:58
example is bill a professor bit ahead
00:03:00
of the geriatrics machines is measuring
00:03:03
ten to twelve patients but they with
00:03:05
our system and use that as a systematic
00:03:08
screening tool. And how point is up to
00:03:11
date we are not systematically assess
00:03:13
assessing the gate as a test as a
00:03:16
clinical test but it should be one day
00:03:18
and this is what we are doing now the
00:03:22
beauty of it is we won cortex you have
00:03:24
all these different applications for an
00:03:26
assessment on money monitoring realtime
00:03:28
feedback in sports I even science and
00:03:31
research what we come from. And from
00:03:33
the company standpoint I just said we
00:03:35
we started we we get would like to say
00:03:37
we are born in research and how
00:03:39
professor was a pioneer no doing the
00:03:42
first measurement with the gyroscope
00:03:43
and human fifteen years ago first
00:03:45
buttons in two thousand so really you
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have this fifteen years of expertise
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dealing with initial stencils now we've
00:03:51
grown sales without external investment
00:03:53
in already ten people. Um yeah this is
00:03:56
it we lose on this there is no better
00:03:59
prove than what we do is is right we've
00:04:02
these people that first class in
00:04:05
research clinics or industry group. I
00:04:08
thank you very much. And yeah I'm here
00:04:10
after for some networking and
00:04:12
discussions if you're further

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