Wearable technologies for sleep and health monitoring


Mohamad Forouzanfar, Professor, Imaging, Vision and Artificial Intelligence Laboratory, Department of Systems Engineering, École de Technologie Supérieure, Montreal.

Sleep accounts for about one-third of the human lifespan and plays a critical role in regulating health, well-being, and performance. Sleep problems affect half of the adult population and have a significant negative impact on physical, cardiovascular, and mental health. In addition to its critical role in well-being and quality of life, sleep provides a unique baseline window into human body function at rest that can help characterize health and disease patterns.

In this talk, I will give an overview of current sleep technologies and their capabilities and shortcomings in monitoring sleep and health. Through presenting some of my research projects, I will discuss how advanced sensing technologies combined with powerful data analytic methods and machine learning algorithms can be utilized to develop improved unobtrusive technologies to objectively evaluate sleep, manage sleep, and monitor health status during sleep.

Mohamad Forouzanfar received the PhD degree in Electrical and Computer Engineering from University of Ottawa in 2014. From 2014 to 2017, he held postdoctoral positions at University of Ottawa, Harvard University, and Stanford University. From 2017 to 2020, he worked as a Research Scientist in the Center for Health Sciences at SRI International, USA. He joined École de technologie supérieure (ÉTS) as an Associate Professor in 2020. His area of expertise is in applied signal processing, machine learning, and instrumentation for biomedical applications.

Zoom : https://us06web.zoom.us/j/86148686452

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