Player is loading...

Embed

Embed code

Transcriptions

Note: this content has been automatically generated.
00:00:00
So I'd like to start showing you
00:00:03
immediately what we're working on it's
00:00:05
a it's a wearable computer that spread
00:00:08
senses network all over your body. And
00:00:11
we can a measure physiological data. So
00:00:15
the CG the respiration patents airspace
00:00:18
mechanics. But also muscular activation
00:00:21
and that we have I use spread all over
00:00:24
the body so that we can really follow
00:00:26
the movement of precision of each lane.
00:00:28
And you might talk I would like to
00:00:32
stress the characteristics of our
00:00:35
product. So it is independent we have a
00:00:37
communication you need integrated in
00:00:40
the garment so that we do not rely on
00:00:41
smart phone so we do not rely on any or
00:00:44
the technology we the device itself is
00:00:47
independent so you can use it also
00:00:49
performed you can use it to receive
00:00:50
your image you can use it you know or
00:00:53
you can use it to to communicate
00:00:56
whatever you want it's more I propose
00:00:58
it we we we don't to focus on one a
00:01:02
specific application yet but we we what
00:01:05
we want to do it to to to develop first
00:01:09
the the platform. It's medically
00:01:12
accurate you see later what that means.
00:01:15
And of course we allow the user to
00:01:18
share its own data with who whatever
00:01:21
you want with and and access to the
00:01:23
data where everyone and I would like to
00:01:27
strips that is is meant to be a
00:01:29
platform and not just a wearable device
00:01:32
we because of those characteristics
00:01:38
yeah we we like to place ourselves like
00:01:41
if the platform of communication in the
00:01:43
first one computers the segment smart
00:01:45
phones we believe we can do whatever
00:01:47
the other ones can do in terms of
00:01:49
communications we can communicate
00:01:51
through your data emotions we can
00:01:53
communicate your your performances we
00:01:56
we we can we can measure your
00:01:58
performance or or measure your your
00:02:00
your state and you decide to use this
00:02:03
data you get to communicate to
00:02:05
interactive something else or to or or
00:02:09
just to have knowledge of yourself with
00:02:12
your data. And since with this platform
00:02:19
is directly to make an interior
00:02:21
integrated and interacting with you and
00:02:24
it's not you that interact with the
00:02:26
with the platform in contrast with the
00:02:29
other two we we can easily stated we
00:02:33
place ourselves in the centre of the
00:02:35
intimate of things it will be there
00:02:37
with this kind of platform that that
00:02:39
you will be able to interact and to
00:02:41
communicate with other devices because
00:02:43
this platform three is directly where
00:02:45
on you so you can do that if your data
00:02:51
and when I tell your data we really
00:02:54
mean your data. And that means we are
00:02:58
we don't wanna do anything with your
00:03:00
data You are the that the where the the
00:03:03
user is is this solar probably tell you
00:03:05
have the data. And he decide is what to
00:03:08
do with that you decide is if he wants
00:03:10
his data to get mind for some reason
00:03:13
you decide if you want to share it to a
00:03:15
medical doctor is if you want to share
00:03:18
it with some friends if you want
00:03:19
compete if someone the user like
00:03:21
running with him if he's in new York
00:03:24
and the other one is in the in this
00:03:25
year. And of course. This will be
00:03:29
allowed the just using the platform.
00:03:31
And the other word that I was
00:03:34
mentioning is medical accuracy we
00:03:37
started developing the platform by
00:03:39
thinking it's use H in the medical
00:03:41
field and thinking that gadgets or or
00:03:45
or the whereabouts that you can find on
00:03:47
the market now are most of them not not
00:03:50
all of them. But most most of them are
00:03:52
not accurate enough to be used in the
00:03:53
medical context. So we tried to we
00:03:56
really try to develop it in a medical
00:03:59
environment to assess cardiac and the
00:04:02
respiratory diseases and this we did in
00:04:05
collaboration the college of logic
00:04:06
centre of men's either milan. And the
00:04:09
result was this garment which can
00:04:10
acquire that well fleets in G it was
00:04:13
just train census to get the mechanical
00:04:16
in to analyse mechanical respiration in
00:04:20
a different compartments. So that we
00:04:22
can use this device in the medical
00:04:24
practise but also home for analysing
00:04:27
sleep if you have the up near for
00:04:30
example or and of course your cardiac
00:04:33
have state. And what you want to do
00:04:36
with you to take this technology that
00:04:38
we develop you know medical environment
00:04:39
and adapt it or just taking it and
00:04:41
integrating it in a in a in another
00:04:43
device which would be then used for for
00:04:45
the fitness purposes to go by your
00:04:48
heart rate respiration rate. And we
00:04:51
really want to rely on this technology
00:04:53
to to tell the use of this is accurate
00:04:56
data and this is what the I will try to
00:05:00
show is the next video which it's a bit
00:05:02
of the summary of the work we did live
00:05:04
in collaboration with the county logic
00:05:05
central one zero. And where we try to
00:05:09
explain why such a device can diffuse
00:05:11
useful in in hospitals in it Yeah MMM a
00:05:55
Yes okay Number two drafted do with the
00:06:37
duties you I it to you is it a little
00:06:40
bit you really believe that we should
00:06:42
get the thing that I would give us a
00:06:43
little about with all these let's just
00:06:46
recently we should maybe people that
00:06:48
might be done on the contents pure dog
00:06:50
yeah who but touch anything that's a
00:06:54
week maybe I should that make the the
00:06:56
the be if you got it is logically if
00:06:59
it's got a chip that it'd be free
00:07:02
between eighty five and it up with some
00:07:03
of the feel for example but I but see
00:07:06
the you put them you know that it more
00:07:09
what I say that she a good one but I do
00:07:12
people that keep the other with the
00:07:15
people I see states that I mean yeah
00:07:18
well yeah yeah oh with such and it is a
00:07:21
problem cheap. freedom is what actually
00:07:29
tried our development we want to to
00:07:34
bring the the freedom of a wearable
00:07:37
technology to a patient so that it
00:07:39
doesn't need to feel this cables all
00:07:40
need to go to the laboratory to make it
00:07:42
a a an exam for example all the
00:07:44
respiration part usually in practise
00:07:47
you use like is kind of spiral meters
00:07:50
that measure the flow and also the soon
00:07:53
one's interest near you in your breath.
00:07:55
And it's pretty much invasive and what
00:07:57
do to try to achieve this to measure
00:07:59
tie the volumes also just using it's
00:08:02
trained sensors in the garment to
00:08:04
reconsider EI reconstruct the the the
00:08:07
the volume so he this is just some
00:08:09
pretty mean our result will receive
00:08:10
good correlation between our our device
00:08:13
in red and the volume that this kind of
00:08:15
devices measure during one as one
00:08:19
maximum test on the on the on the
00:08:21
subject you can see that we can monitor
00:08:25
for example torrents deformations of
00:08:27
the of the sure in the burning I'm
00:08:28
nominal then we can take some to
00:08:30
extrapolate. And volume correlated to
00:08:33
the volume. And of course we can was to
00:08:35
try to be we user reuse the device
00:08:37
nothing as more clinical trial have to
00:08:39
to count how many yes you have
00:08:41
overnight so that we can assess is if
00:08:45
you have some Z diseases in the in the
00:08:48
next meeting you will see how we we do
00:08:51
this technology we put it on the
00:08:52
fitness device to "'em" on it or three
00:08:56
thirty nine the real environments and
00:08:59
we tried it does as I said before at
00:09:02
the in the context of the particular
00:09:04
state they have a for the sierra. And
00:09:07
there what we wanted to the most of
00:09:08
this company is that we our technology
00:09:11
workforce in the most extreme
00:09:12
conditions and the page it is one
00:09:14
extreme conditions one of the task this
00:09:17
the yeah racist on her from opinion.
00:09:20
And you can see the summary of that
00:09:24
Sure And yeah yeah yeah Hello hello to
00:10:02
I I don't know I just I just you know
00:10:42
okay then yeah to summarise a bit what
00:11:07
the this this the wearable computer can
00:11:10
do we as a nation we especially in the
00:11:14
the the let's a we were acquiring
00:11:17
accelerometer from the voice and the
00:11:20
models of on the forums understanding
00:11:22
which cycle the the it was forced
00:11:25
physiological data is you mess. And
00:11:28
then muscular activation in and not
00:11:31
really so in the upper means and then
00:11:33
that our goal is to boost everybody's
00:11:42
efficiency. And we tried to do that the
00:11:45
providing a a product work sorry
00:11:52
providing a product that that will
00:11:57
follow you during your exercises but
00:12:00
also doing your your daily life. So in
00:12:03
a way we we have a design one wearable
00:12:07
computer that we'd BBL will be able to
00:12:11
follow you in your daily activities.
00:12:12
It's design is focus come forward and
00:12:15
you can sleep with it and such a device
00:12:18
can help you or understanding your your
00:12:21
daily patterns you're the the
00:12:22
activities we can measure how many
00:12:26
times you were laughing you can measure
00:12:27
how many times you where you were
00:12:30
smoking maybe rethink what we've said
00:12:32
before. But of course having it doing
00:12:35
night and they can allow that analyse
00:12:37
your your sleep buttons if you can
00:12:39
correlate your your quality of sleep we
00:12:42
figure efficiency during your day if
00:12:44
you want to you can we can do you can
00:12:46
recognise how much time you were
00:12:48
sitting at one desk present working and
00:12:50
then comparing your your heart rate in
00:12:53
the spatial rate we can correlated to
00:12:55
stress and give you an idea on how
00:12:57
stress during your year you are the
00:13:00
other devices more with the was the
00:13:03
design was was a focus on performance
00:13:06
so it's a bit more compression and it
00:13:07
will allow you to measure accurately
00:13:10
heart rate special rate during during a
00:13:13
sport activities like running cycling.
00:13:16
And whatever was mentioning I was four
00:13:18
I forgot to mention also the the this
00:13:20
kind of device for the day and night a
00:13:24
position has also ability to undo to
00:13:28
give your feedback and you have time or
00:13:29
what you post to on if if you're if
00:13:32
you're sitting right if you are doing
00:13:34
your job in a in a way that can cause
00:13:36
you problems in your life for example.
00:13:38
And of course then we we can we can use
00:13:41
all the data coming from with three
00:13:43
different devices in one in our on the
00:13:46
on the personal portal of each of the
00:13:48
users. I can give you an overview of
00:13:51
how efficient really if efficiency are
00:13:54
you your life for example and I
00:13:56
remember the thing that we are we are
00:13:59
we want to be a platform and not that
00:14:02
we want to address the specific other
00:14:04
and need at the moment. So at the
00:14:06
device will be that the platform will
00:14:08
be totally open and of course
00:14:11
developers stuff all over the world
00:14:13
will be well succumbed to find you
00:14:16
applications and whatever came to mind.

Share this talk: 


Conference program

Ouverture de la journée e-Health 2016
Sébastien Mabillard, Coordinateur projets e-health, Fondation The Ark
3 June 2016 · 9:08 a.m.
167 views
Mots d'introduction du Canton du Valais
Victor Fournier, Chef du service de la santé
3 June 2016 · 9:11 a.m.
114 views
Mots d'introduction de la Fondation The Ark
François Seppey, Président de la Fondation The Ark
3 June 2016 · 9:18 a.m.
Mots d'introduction des Instituts de la HES-SO Valais-Wallis
Laurent Sciboz , Directeur des instituts informatiques
3 June 2016 · 9:26 a.m.
Boston Scientific - Medtech: quel business model pour l' “Internet du Patient”?
Frédéric Briguet, EU Digital Health Engagement
3 June 2016 · 9:38 a.m.
216 views
Q&A - Boston Scientific - Medtech: quel business model pour l' “Internet du Patient”?
Frédéric Briguet, EU Digital Health Engagement
3 June 2016 · 10:02 a.m.
Patientslikeme - The Power of We
Chris Fidyk, Vice-président et head of business development chez Patientslikeme
3 June 2016 · 10:08 a.m.
Q&A - Patientslikeme - The Power of We
Chris Fidyk, Vice-président et head of business development chez Patientslikeme
3 June 2016 · 10:39 a.m.
Roche Diabetes Care Inc - eHealth: the future we create today
Horst Merkle, Directeur de Diabetes Management Solutions, Roche Diabetes Care Inc
3 June 2016 · 10:49 a.m.
142 views
Q&A - Roche Diabetes Care Inc - eHealth: the future we create today
Horst Merkle, Directeur de Diabetes Management Solutions, Roche Diabetes Care Inc
3 June 2016 · 11:13 a.m.
Withings: du quantified self à la médecine préventive
Alexis Normand, Directeur du développement Santé chez Withings
3 June 2016 · 11:40 a.m.
Q&A - Withings: du quantified self à la médecine préventive
Alexis Normand, Directeur du développement Santé chez Withings
3 June 2016 · 12:04 p.m.
Groupe Mutuel - Ignilife: le coach santé au quotidien
Stéphane Andenmatten, Responsable Marketing - Membre du Management chez Groupe Mutuel
3 June 2016 · 12:12 p.m.
288 views
Q&A - Groupe Mutuel - Ignilife: le coach santé au quotidien
Stéphane Andenmatten, Responsable Marketing - Membre du Management chez Groupe Mutuel
3 June 2016 · 12:34 p.m.
Gérer ses données, ou être géré par ses données, quels futurs nous dessinent le big data et le quantified self ?
Stéphane Koch, Spécialiste des questions numériques
3 June 2016 · 12:43 p.m.
138 views
Safe Host - La Suisse, le coffre-fort numérique mondial
Sylvain Bremond, Business Development Manager chez Safe Host
3 June 2016 · 1:13 p.m.
Cipret - 7000 Romands arrêtent de fumer via facebook
Alexandre Dubuis, PhD, Responsable du CIPRET Valais
3 June 2016 · 2:37 p.m.
Q&A - Cipret - 7000 Romands arrêtent de fumer via facebook
Alexandre Dubuis, PhD, Responsable du CIPRET Valais
3 June 2016 · 2:49 p.m.
L.I.F.E. - express your truth through your accurate data
Dario Ossola, PhD, Algorithm R&D Coordinator, L.I.F.E. Corporation
3 June 2016 · 2:52 p.m.
Q&A - L.I.F.E. - express your truth through your accurate data
Dario Ossola, PhD, Algorithm R&D Coordinator, L.I.F.E. Corporation
3 June 2016 · 3:07 p.m.
ISyPeM2 - de l’individualisation des posologies aux bases de données médicales
Séverine Petitprez et Alevtina Dubovitskaya, Resp. collaboratrice scientifique, pharmacologie clinique, CHUV , et assistante de recherche, HES-SO Valais-Wallis
3 June 2016 · 3:14 p.m.
365 views
Q&A - ISyPeM2 - de l’individualisation des posologies aux bases de données médicales
Séverine Petitprez et Alevtina Dubovitskaya, Resp. collaboratrice scientifique, pharmacologie clinique, CHUV , et assistante de recherche, HES-SO Valais-Wallis
3 June 2016 · 3:26 p.m.
Karmagenes - Be a game changer: meet yourself
Kyriakos Kokkoris, CEO de Karmagenes
3 June 2016 · 3:30 p.m.
Q&A - Karmagenes - Be a game changer: meet yourself
Kyriakos Kokkoris, CEO de Karmagenes
3 June 2016 · 3:39 p.m.
Table ronde - eDocteur et ePatients, une eRelation à créer...
Dr Jean-Gabriel Jeannot, Pierre-Mikael Legris, Dr Pietro Scalfaro, Christine Bienvenu, David-Zacharie Issom
3 June 2016 · 3:42 p.m.
117 views
Synthèse et conclusion
Sébastien Mabillard, Responsable des projets E-Santé
3 June 2016 · 4:39 p.m.

Recommended talks

Small Devices for Big Impact
Nuria Oliver, PhD, Scientific Director Telefonica Research
19 Sept. 2013 · 3:05 p.m.
SIGCHI Lifetime Research Award Talk
James Hollan
21 April 2015 · 2:35 p.m.