webinar register page

Computational Approaches to Signal Processing for Sleep: Dr. Uri Eden
Towards an Instantaneous AHI — Understanding Point Processes

Dr. Uri Eden
Professor of Mathematics and Statistics
Department of Mathematics and Statistics
Boston University

Point processes are a well-established way of quantitatively characterizing events that occur over time or space, such as the arrival of trains at a station, the firing times of neurons, and the timing and location of earthquakes. Sleep is also full of events that occur over space and time, such at respiratory events.

In this seminar, Dr. Eden will go over the fundamentals of point processes and show an application to computing an “instantaneous AHI”, which computes the moment-by-moment respiratory event rate as a function of position, sleep stage, and past event history.

May 24, 2021 01:00 PM in Eastern Time (US and Canada)

* Required information

By registering, I agree to the Privacy Statement and Terms of Service.