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L.I.F.E. - express your truth through your accurate data
Dario Ossola, PhD, Algorithm R&D Coordinator, L.I.F.E. Corporation
Friday, June 3, 2016 · 2:52 p.m. · 14m 26s
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So I'd like to start showing you
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immediately what we're working on it's
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a it's a wearable computer that spread
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senses network all over your body. And
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we can a measure physiological data. So
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the CG the respiration patents airspace
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mechanics. But also muscular activation
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and that we have I use spread all over
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the body so that we can really follow
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the movement of precision of each lane.
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And you might talk I would like to
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stress the characteristics of our
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product. So it is independent we have a
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communication you need integrated in
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the garment so that we do not rely on
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smart phone so we do not rely on any or
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the technology we the device itself is
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independent so you can use it also
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performed you can use it to receive
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your image you can use it you know or
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you can use it to to communicate
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whatever you want it's more I propose
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it we we we don't to focus on one a
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specific application yet but we we what
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we want to do it to to to develop first
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the the platform. It's medically
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accurate you see later what that means.
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And of course we allow the user to
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share its own data with who whatever
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you want with and and access to the
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data where everyone and I would like to
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strips that is is meant to be a
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platform and not just a wearable device
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we because of those characteristics
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yeah we we like to place ourselves like
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if the platform of communication in the
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first one computers the segment smart
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phones we believe we can do whatever
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the other ones can do in terms of
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communications we can communicate
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through your data emotions we can
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communicate your your performances we
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we we can we can measure your
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performance or or measure your your
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your state and you decide to use this
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data you get to communicate to
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interactive something else or to or or
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just to have knowledge of yourself with
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your data. And since with this platform
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is directly to make an interior
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integrated and interacting with you and
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it's not you that interact with the
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with the platform in contrast with the
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other two we we can easily stated we
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place ourselves in the centre of the
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intimate of things it will be there
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with this kind of platform that that
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you will be able to interact and to
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communicate with other devices because
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this platform three is directly where
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on you so you can do that if your data
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and when I tell your data we really
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mean your data. And that means we are
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we don't wanna do anything with your
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data You are the that the where the the
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user is is this solar probably tell you
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have the data. And he decide is what to
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do with that you decide is if he wants
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his data to get mind for some reason
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you decide if you want to share it to a
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medical doctor is if you want to share
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it with some friends if you want
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compete if someone the user like
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running with him if he's in new York
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and the other one is in the in this
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year. And of course. This will be
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allowed the just using the platform.
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And the other word that I was
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mentioning is medical accuracy we
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started developing the platform by
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thinking it's use H in the medical
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field and thinking that gadgets or or
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or the whereabouts that you can find on
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the market now are most of them not not
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all of them. But most most of them are
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not accurate enough to be used in the
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medical context. So we tried to we
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really try to develop it in a medical
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environment to assess cardiac and the
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respiratory diseases and this we did in
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collaboration the college of logic
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centre of men's either milan. And the
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result was this garment which can
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acquire that well fleets in G it was
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just train census to get the mechanical
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in to analyse mechanical respiration in
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a different compartments. So that we
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can use this device in the medical
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practise but also home for analysing
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sleep if you have the up near for
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example or and of course your cardiac
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have state. And what you want to do
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with you to take this technology that
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we develop you know medical environment
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and adapt it or just taking it and
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integrating it in a in a in another
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device which would be then used for for
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the fitness purposes to go by your
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heart rate respiration rate. And we
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really want to rely on this technology
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to to tell the use of this is accurate
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data and this is what the I will try to
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show is the next video which it's a bit
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of the summary of the work we did live
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in collaboration with the county logic
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central one zero. And where we try to
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explain why such a device can diffuse
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useful in in hospitals in it Yeah MMM a
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Yes okay Number two drafted do with the
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duties you I it to you is it a little
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bit you really believe that we should
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get the thing that I would give us a
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little about with all these let's just
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recently we should maybe people that
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might be done on the contents pure dog
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yeah who but touch anything that's a
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week maybe I should that make the the
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the be if you got it is logically if
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it's got a chip that it'd be free
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between eighty five and it up with some
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of the feel for example but I but see
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the you put them you know that it more
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what I say that she a good one but I do
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people that keep the other with the
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people I see states that I mean yeah
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well yeah yeah oh with such and it is a
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problem cheap. freedom is what actually
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tried our development we want to to
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bring the the freedom of a wearable
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technology to a patient so that it
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doesn't need to feel this cables all
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need to go to the laboratory to make it
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a a an exam for example all the
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respiration part usually in practise
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you use like is kind of spiral meters
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that measure the flow and also the soon
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one's interest near you in your breath.
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And it's pretty much invasive and what
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do to try to achieve this to measure
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tie the volumes also just using it's
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trained sensors in the garment to
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reconsider EI reconstruct the the the
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the volume so he this is just some
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pretty mean our result will receive
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good correlation between our our device
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in red and the volume that this kind of
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devices measure during one as one
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maximum test on the on the on the
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subject you can see that we can monitor
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for example torrents deformations of
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the of the sure in the burning I'm
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nominal then we can take some to
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extrapolate. And volume correlated to
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the volume. And of course we can was to
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try to be we user reuse the device
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nothing as more clinical trial have to
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to count how many yes you have
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overnight so that we can assess is if
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you have some Z diseases in the in the
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next meeting you will see how we we do
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this technology we put it on the
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fitness device to "'em" on it or three
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thirty nine the real environments and
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we tried it does as I said before at
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the in the context of the particular
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state they have a for the sierra. And
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there what we wanted to the most of
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this company is that we our technology
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workforce in the most extreme
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conditions and the page it is one
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extreme conditions one of the task this
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the yeah racist on her from opinion.
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And you can see the summary of that
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Sure And yeah yeah yeah Hello hello to
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I I don't know I just I just you know
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okay then yeah to summarise a bit what
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the this this the wearable computer can
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do we as a nation we especially in the
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the the let's a we were acquiring
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accelerometer from the voice and the
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models of on the forums understanding
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which cycle the the it was forced
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physiological data is you mess. And
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then muscular activation in and not
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really so in the upper means and then
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that our goal is to boost everybody's
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efficiency. And we tried to do that the
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providing a a product work sorry
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providing a product that that will
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follow you during your exercises but
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also doing your your daily life. So in
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a way we we have a design one wearable
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computer that we'd BBL will be able to
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follow you in your daily activities.
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It's design is focus come forward and
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you can sleep with it and such a device
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can help you or understanding your your
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daily patterns you're the the
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activities we can measure how many
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times you were laughing you can measure
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how many times you where you were
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smoking maybe rethink what we've said
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before. But of course having it doing
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night and they can allow that analyse
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your your sleep buttons if you can
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correlate your your quality of sleep we
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figure efficiency during your day if
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you want to you can we can do you can
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recognise how much time you were
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sitting at one desk present working and
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then comparing your your heart rate in
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the spatial rate we can correlated to
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stress and give you an idea on how
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stress during your year you are the
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other devices more with the was the
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design was was a focus on performance
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so it's a bit more compression and it
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will allow you to measure accurately
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heart rate special rate during during a
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sport activities like running cycling.
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And whatever was mentioning I was four
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I forgot to mention also the the this
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kind of device for the day and night a
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position has also ability to undo to
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give your feedback and you have time or
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what you post to on if if you're if
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you're sitting right if you are doing
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your job in a in a way that can cause
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you problems in your life for example.
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And of course then we we can we can use
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all the data coming from with three
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different devices in one in our on the
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on the personal portal of each of the
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users. I can give you an overview of
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how efficient really if efficiency are
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you your life for example and I
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remember the thing that we are we are
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we want to be a platform and not that
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we want to address the specific other
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and need at the moment. So at the
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device will be that the platform will
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be totally open and of course
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developers stuff all over the world
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will be well succumbed to find you
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applications and whatever came to mind.
Conference Program
Ouverture de la journée e-Health 2016
Sébastien Mabillard, Coordinateur projets e-health, Fondation The Ark
June 3, 2016 · 9:08 a.m.
222 views
Mots d'introduction du Canton du Valais
Victor Fournier, Chef du service de la santé
June 3, 2016 · 9:11 a.m.
193 views
Mots d'introduction de la Fondation The Ark
François Seppey, Président de la Fondation The Ark
June 3, 2016 · 9:18 a.m.
Mots d'introduction des Instituts de la HES-SO Valais-Wallis
Laurent Sciboz , Directeur des instituts informatiques
June 3, 2016 · 9:26 a.m.
Boston Scientific - Medtech: quel business model pour l' “Internet du Patient”?
Frédéric Briguet, EU Digital Health Engagement
June 3, 2016 · 9:38 a.m.
424 views
Q&A - Boston Scientific - Medtech: quel business model pour l' “Internet du Patient”?
Frédéric Briguet, EU Digital Health Engagement
June 3, 2016 · 10:02 a.m.
151 views
Patientslikeme - The Power of We
Chris Fidyk, Vice-président et head of business development chez Patientslikeme
June 3, 2016 · 10:08 a.m.
184 views
Q&A - Patientslikeme - The Power of We
Chris Fidyk, Vice-président et head of business development chez Patientslikeme
June 3, 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
June 3, 2016 · 10:49 a.m.
230 views
Q&A - Roche Diabetes Care Inc - eHealth: the future we create today
Horst Merkle, Directeur de Diabetes Management Solutions, Roche Diabetes Care Inc
June 3, 2016 · 11:13 a.m.
Withings: du quantified self à la médecine préventive
Alexis Normand, Directeur du développement Santé chez Withings
June 3, 2016 · 11:40 a.m.
Q&A - Withings: du quantified self à la médecine préventive
Alexis Normand, Directeur du développement Santé chez Withings
June 3, 2016 · 12:04 p.m.
Groupe Mutuel - Ignilife: le coach santé au quotidien
Stéphane Andenmatten, Responsable Marketing - Membre du Management chez Groupe Mutuel
June 3, 2016 · 12:12 p.m.
609 views
Q&A - Groupe Mutuel - Ignilife: le coach santé au quotidien
Stéphane Andenmatten, Responsable Marketing - Membre du Management chez Groupe Mutuel
June 3, 2016 · 12:34 p.m.
145 views
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
June 3, 2016 · 12:43 p.m.
303 views
Safe Host - La Suisse, le coffre-fort numérique mondial
Sylvain Bremond, Business Development Manager chez Safe Host
June 3, 2016 · 1:13 p.m.
111 views
Q&A - Safe Host - La Suisse, le coffre-fort numérique mondial
June 3, 2016 · 1:28 p.m.
Cipret - 7000 Romands arrêtent de fumer via facebook
Alexandre Dubuis, PhD, Responsable du CIPRET Valais
June 3, 2016 · 2:37 p.m.
Q&A - Cipret - 7000 Romands arrêtent de fumer via facebook
Alexandre Dubuis, PhD, Responsable du CIPRET Valais
June 3, 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
June 3, 2016 · 2:52 p.m.
105 views
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
June 3, 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
June 3, 2016 · 3:14 p.m.
1091 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
June 3, 2016 · 3:26 p.m.
Karmagenes - Be a game changer: meet yourself
Kyriakos Kokkoris, CEO de Karmagenes
June 3, 2016 · 3:30 p.m.
102 views
Q&A - Karmagenes - Be a game changer: meet yourself
Kyriakos Kokkoris, CEO de Karmagenes
June 3, 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
June 3, 2016 · 3:42 p.m.
225 views
Synthèse et conclusion
Sébastien Mabillard, Responsable des projets E-Santé
June 3, 2016 · 4:39 p.m.
Recommended talks
Big Data with Health Data
Sébastien Déjean
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Hardware & software update from NVIDIA, Enabling Deep Learning
Alison B Lowndes, NVIDIA
July 4, 2016 · 3:20 p.m.
427 views