A l'occasion de la 2ème journée valaisanne de recherche translationnelle en réadaptation, Prof. Dr. Schumacher a présenté le nouveau Centre d’innovation des technologies de la sante HES-SO Valais-Wallis.

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Centre d’innovation des
technologies de la sante
HES-SO Valais Wallis
Un support pour les decisions
liées à la santé
Prof. Dr. Michael Schumacher & Prof. Dr. Marc Pfeifer
2ème journée valaisanne de recherche translationnelle en réadaptation, Sion, 3.3.2014

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Health Technology
Innovation Center (HTIC)
• Systems Engineering Institute:
Prof. Martial Geiser & Prof. Pierre Roduit
• Institute of Life Technologies:
Prof. Marc Pfeifer & Prof. Jean-Manuel Segura
• Institute of Information Systems:
Prof. Michael Schumacher & Prof. Henning Müller
• Institut de recherche Santé-Social:
Prof. Roger Hilfiker & Patricia Pham & Peter Voll
• IEM:
Prof. Eric Michellod & Prof. Alexandra Hugo
• Institute of Tourisme:
Prof. Marc Schnyder & Rafael Matos
Bottom-up!
initiative!

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Vision
To position HES-SO Valais Wallis
as a leader in Switzerland & internationally
in Sustainable Health Technology

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Motivation
• Situation:
• aging society, increasing numbers of patients with chronic diseases,
and late-stage and expensive treatments
• Paradigm shift is needed to enhance:
• Early detection and prevention of diseases
• Healthy behavior & nutrition
• Patient empowerment & health literacy
• Chronic disease management
• Socially integrated care
and independent living
Picture source: http://www.sustainablehealth.org/sustainable-health/our-approach/

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Mission of HTIC
• Create an interdisciplinary research Center on health
technology with a sufficient critical mass
• Acquire national and international research projects
• Translate fundamental research to aR&D
• Transfer innovation to industry (prototype developement)
• Transfer competencies to our students
• Position HES-SO Valais towards EPFL Valais & HES-SO

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Positioning
Fundamental
Research
(EPFL Valais)
aR&D
(HES-SO VS)
Valorisation
(The Ark)
Industry
Health Technology
Innovation Center (HTIC)
Translate fundamental research into industrial practice
(Science to Market)

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Stategic Axes: full value chain
• Early diagnostics tools
• Sensor developments
& integrated devices
• eHealth applications
• Healthy food
Institute of Life Technologies
Systems Engineering Institute
Institute of Information Systems
Institute of Life Technologies
ß Focus on health innovation mainly outside hospital à
ß Ethically-driven technology development to fully respect & serve human life à
InstitutSantéSocial
InstituteofTourism
InstituteofMangement

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eHealth Unit Sierre
27 collaborators
3 professors, 7 engineers, 6 postdocs, 11 PhD students
Many visiting researchers and exchanges with other research groups & companies
60 peer reviewed publications in 2012
1 startup company in 2013. Possible others startups in preparation
Projects 2013:
8 EU FP7 projects
4 FNS + 2 Nano-Tera
CTI, TheArk, Hasler, …
Mandates

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Physio-
logical
values
Monitoring
Decision
support
Electronic Health Records:
(Patient history)
Individualized
multi-parametric
data analysis
Bio-markers
& Sensors
Models (Formal reasoning and machine
learning)
Medical guidelines Medical
litterature
Hospitals
GPs
& Nurses
Labs
Interoperability
Coordination
of care
Acute
& Chronic
individual care
management
Medical data
warehouse
Signal
processing
Multiparametric
Decision
Support

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HTIC
Example projects

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Gestational Diabetes Mellitus
GDM occurs during pregnancy (4%)
due to increased resistance to insulin
Goal of the project:
1. Constant monitoring and recording
to ease treatment adjustment
2. Automatic alerts to medical staff
Technologies:
Market sensors (glucometers)
Smart phones & Web Apps
Expert Systems

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Demo

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MIRTH
MIRTH
BodyTel
Body
Area Network
Interoperability
Middleware
Intelligent Agents (GOLEM)
Arrhythmia
Detection
Breathing
Detection
Noise
Detection
Temporal Reasoning
Guidelines
Reasoning
Physio-
logical
Signals
HL7
Portavita Care
Management System
Events/Findings/Alerts Alerts
Similar patient
search
Visualisation
HL7
HL7
Continuous Multi-parametric and Multi-layered analysis of
Diabetes 1 & 2

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Commodity12 DEMO: Hypoglicemia
• BodyTel Body Area Network, with glucose value sent the interoperability
layer
• The expert systems applies a set of rules to deal with hypoglicemia:
• The alert is displayed
in PortaVita
Care Management
System

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DiagnosticAID (2012-2014)
Objective:
• Interoperability with external health systems
• Clinical decision support system backed by computerized clinical
guidelines for Mediway

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Measure of the Knie Deviation
• Goal: Diagnostic of arthritis
• Means:
• System to measure knie deviation
• Data acquisition
• Software for physiotherapists with data acquisition,
visualization and analysis
• HES-SO Partners:
• Systems Engineering Institute (Pierre Roduit)
• Institute of Health (Roger Hilfiker)
• Institute of Information Systems (Michael
Schumacher)
Used sensors: gyroscope,
accelerometer, compass

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NinaPro: Non Invasive Adaptive Hand Prosthetics
GOALS
1. Augment Dexterity of Robotic Prosthesis
2. Reduce Training Time

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Step 1: Nina-Pro Electro Myography Database
Step 2: Posture Classification
Step 3: Natural Control
Step 4: Adaptive Learning
NinaPro: Steps

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Project „ISyPeM II“
Ø Evolution in TDM
0
1
2
3
4
5
6
7
8
9
10
11
12
Treatment
dura5on
(days)
Drug
Concentra5on
(μg/mL)
0.0
0.4
0.8
1.2
1.6
2.0
2.4
Pa5ent
Target
800
mg
qd
Risk
of
adverse
effects
Risk
of
inefficacy
Ima5nib
400
mg
qd

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Project „ISyPeM II“
Ø Point-of-care (POC) solution

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INTERPRETATION AND DOSE
ADJUSTMENT
§ Is the result expected ?
§ Is the drug still suitable ?
§ Prediction and dose adjustment
Project „ISyPeM II“
Ø Point-of-care (POC) solution
DATA EXCHANGE AND INTEROPERABILITY
§ Upload patient’s data
§ Extension of eHealth medical standards
§ Data integrity

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Project Idea „Breathx“
Ø Mobile breath analysis
Air composition incl. metabolites change:
• Infection (bacterial, fungi, viral)
• Injury and / or inflammation
• Disease (lung cancer, …)
• Pharmaceutical and food / beverage intake
• During exercise or
rest (ventilated)
• Fitness

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Project Idea „Breathx“
Ø Mobile breath analysis
Goal:
• Understand relationship breathing ↔ recovery
• Optimize recovery / rehabilitation
Approach:
• Select metabolic markers
• Select or develop wearable sensor device
• Software and Data management
• Clinical result evaluation

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Thank you
Picture:http://
biomedicalcomputationreview.org