"Health Sensors & IoT: The Digital Foundation we Need to deliver Wellness as a Service" - Pierre-Alexandre Fournier (CEO, Hexoskin) Delivered at the inaugural Hyper Wellbeing Summit, 14th November 2016, Mountain View, California. For more information including details of subsequent events, please visit http://hyperwellbeing.com The summit was created to foster a community around an emerging industry - Wellness as a Service (WaaS). Consumer technologies, in particular wearables and mobile, are powering a consumer revolution. A revolution to turn health and wellness into platform delivered services. A revolution enabling consumer data-driven disease risk reduction. A revolution extending health care past sick care towards consumer-led lifelong health, wellness and lifestyle optimization. WaaS newsletter sign-up http://eepurl.com/b71fdr @hyperwellbeing

2. Health Sensors & IoT:
The Digital Foundation we Need for
Wellness as a Service
Pierre-Alexandre Fournier, CEO Hexoskin
Mountain View - November 15th, 2016
@pafournier | @Hexoskin

3. Connected Health Solutions for:
Sports, Wellness, Rehabilitation, Clinical Research

4. 2006: Dreaming of AI/Machine Learning for Healthcare
With a Digital Patient, we can do:
- Early diagnosis
- Predictive analysis
- Optimal management of chronic diseases
- Personalized medicine
- Population health management
- Medical science discovery
- Machine learning, data mining
- Analyse the genotype and the phenotype
- Automated health services accessible
everywhere on the planet, all the time.

5. Why is AI in Healthcare Important?
Healthcare is larger than transportation or phones,
and more labour intensive.
* US numbers

6. Current State of Data in Healthcare (1)
Big Data?
- Data is very sparse.
- Data is not accessible.
- No acceptable data infrastructure.
- No patient-generated data.
- Legal framework needs to be adapted.
- Medical records designed for hospital management,
scheduling, billing, not for science.
- In some hospitals, data is stored as TIFF images or PDFs!

7. Current State of Data in Healthcare (2)
Sensors?
- Most wearables and IoT/connected devices not made for at-risk
population (low income/education and senior population).
- Patient-generated data is often not clinical-grade.
- Current clinical-grade devices not acceptable for long-term use.

8. How do you get the Data you need
to do AI in Healthcare?

9. Data needs to be recorded,
transmitted, processed, available

10. A Roadmap for Big Data in Healthcare
1- Record
2- Transmit
3- Reporting/Intelligence
4- Forecasting/Prediction
5- Automated Health Services/AI
Digital
Foundation

11. Health Sensors Design Goals
- Invisible
- Connected
- Integrated
- Automated Intelligence

12. ๏ 15 min setup by tech
๏ Shaving and skin irritation
๏ Can’t shower
๏ No activity context
๏ Single use
๏ ECG only
✓ Easy setup
✓ Soft on skin
✓ Worn when required
✓ Activity context
✓ Can be used over months
✓ ECG, lung function, activity
AT-HOME CARDIAC REHABILITATION
Heart Failure patients: compliance and monitoring solution

13. ✓ Continuous Lung Capacity
Measurement
✓ Tidal volume, rate, ventilation
✓ Respiratory measurement during
physical activities
✓ Respiratory measurements
during sleep
✓ Long-term use
✓ Remote Data Collection
RESPIRATORY TRACKING
COPD, Asthma, Cystic Fibrosis patients

14. ๏ Uncomfortable
๏ 90 min setup by technician
๏ Expensive
๏ Artificial sleep environment
✓ Soft on skin
✓ 1 min setup by user
✓ Affordable
✓ Natural sleep environment
Polysomnography (PSG)
ECG, Respiration, MovementEEG, EOG, EMG, Micro,
SP02, Respiration
SLEEP MONITORING AT HOME

15. Hexoskin in the International Space Station in 2018
www.hexoskin.com/blogs/news/hexoskin-lands-2-4m-space-medicine-contract

16. THANKS!
CONTACT INFORMATION
Pierre-Alexandre Fournier
CEO - Hexoskin
@pafournier
Montréal
5800, rue Saint-Denis, suite 402A,
Montréal (Québec) H2S 3L5
San Francisco
180 Sansome St, Floor 4,
San Francisco, CA 94104
www.hexoskin.com
@Hexoskin

17. (Hexoskin makes products for seniors and kids)