Data e Ora: 
Friday, September 22, 2017 - 11:00
Affiliazione: 
Holts Centre/ IMEC, The Netherlands
Luogo: 
Aula Magna A. Lepschy, Dept. of Information Engineering
Short Bio: 

Chris Van Hoof leads imec’s wearable health R&D across 3 imec sites (Eindhoven, Leuven and Gent). Imec’s wearable health teams provide solutions for chronic-disease patient monitoring and for preventive health through virtual coaching. Chris has taken wearable health from embryonic research to a business line serving international customers. Chris likes to make things that really work and apart from delivering industry-relevant qualified solutions to customers, his work resulted in 4 imec startups (3 in the healthcare domain). After receiving a PhD from the University of Leuven in 1992 in collaboration with imec, Chris has held positions as manager and director in diverse fields (sensors, imagers, 3D integration, MEMS, energy harvesting, body area networks, biomedical electronics, wearable health). He has published over 600 papers in journals and conference proceedings and has given over 60 invited talks. He is also full professor at the University of Leuven where he has been teaching technology of integrated systems since 2000.

Abstract: 

Between 70% and 85% of the healthcare budget in OECD countries is spent treating chronic patients. Yet, behavior and lifestyle are at the root cause of nearly 80% of these chronic diseases and they are at least in principle preventable. Generic measures to achieve behavior change and prevent disease have proven to be not successful. Giving advice that is not timely, not actionable, and not personalized leads to low compliance of the user. Exactly because we are all different, and evolve over time, a key to success will be achieving personalization well beyond what is offered by today’s wearables and APPs. To achieve such personalization, we are creating digital phenotyping methods, which combine vast personal physiological information from diverse custom created wearable sensors, smartphone information and contextual information to learn individual behavior as well as habits and triggers. This will be the basis for giving the right actionable recommendations to the right person at the right time. Such highly perceptive and just-in-time feedback contrasts with today’s mainly time-based recommendations that are at best location aware and are not based on longitudinal nor personal physiological data. As the domain of preventive health is vast and diverse, we currently focus on three pilot applications: personalized stress management (for healthy people as well as patients), smoking cessation and eating behavior. For each application, in our living labs we conduct large-scale (i.e. 1000 persons), long-term (weeks or months) trials to account for the variability among people and over time. This research brings together multidisciplinary expertise and leverages clinical collaborations with psychiatrists, behavioral scientists and psychologists.

Relatore: 
Chris Van Hoof