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Computational Approaches to Signal Processing for Sleep: Dr. Michael Prerau
Spectral Analysis for Sleep Research

Dr. Michael Prerau
Assistant Professor of Medicine
Division of Sleep and Circadian Rhythms
Brigham and Women’s Hospital

Sleep is a continuous, dynamic neural process involving the complex interaction of many different networks within the brain. Long-standing clinical practice, however, breaks up sleep into discrete sleep stages through time-consuming, subjective, visual inspection of 30-second segments of electroencephalogram (EEG) data. As a result, vital information about brain activity is lost. Spectral analysis is therefore a powerful tool for finding new insights into the physiological mechanisms underlying sleep and for developing new ways of diagnosing and tracking sleep and diagnosing related disorders.

In this seminar, Dr. Prerau will overview the basics of Fourier analysis, leading up to the understanding of multitaper spectral estimation. We will show how time-frequency analysis can be used to characterize EEG activity during sleep and show several applications of this approach to real experimental data.

Apr 13, 2021 01:00 PM in Eastern Time (US and Canada)

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