Dr. Uri Eden
Professor of Mathematics and Statistics
Department of Mathematics and Statistics
Boston University
Click for free registration for Dr. Eden's seminar
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.
Suggested Reading:
Case Studies in Neural Data Analysis A Guide for the Practicing Neuroscientist by Mark A. Kramer and Uri T. Eden
Thomas RJ, Chen S, Eden UT, Prerau MJ. Quantifying statistical uncertainty in metrics of sleep disordered breathing. Sleep Med. 2020 Jan;65:161-169. doi: 10.1016/j.sleep.2019.06.003. Epub 2019 Jun 13. PubMed PMID: 31540785; PubMed Central PMCID: PMC6938549.
Tutorials:
Click here for a tutorial on understanding uncertainty in the AHI