Introduction to Spectral Analysis for Sleep Research: From Fourier to Multitaper: Dr. Michael Prerau скачать в хорошем качестве

Introduction to Spectral Analysis for Sleep Research: From Fourier to Multitaper: Dr. Michael Prerau

Virtual Seminar Series: Computational Approaches to Signal Processing for Sleep Research http://sleepeeg.org/seminar Introduction to Spectral Analysis for Sleep Research Dr. Michael Prerau In this seminar, Dr. Prerau will provide an overview of the basics of spectral analysis, starting with Fourier analysis and 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. The goal of this seminar is to provide an appreciation for the concepts underlying spectral analysis, rather than in in-depth discussion of the mathematics. Suggested Reading: Prerau MJ, Bianchi MT, Brown RE, Ellenbogen JM, Patrick PL. Sleep Neurophysiological Dynamics Through the Lens of Multitaper Spectral Analysis. Physiology (Bethesda). 2017 Jan;32(1):60-92. Review. PubMed PMID: 27927806. Spectral Scoring Manual: https://prerau.bwh.harvard.edu/spectr... Tutorials: https://prerau.bwh.harvard.edu/multit... About the Series: This series is part of the Program in Sleep Epidemiology at Brigham and Women’s Hospital and organized by the Sleep Neurophysiology Signal Processing Core, directed by Dr. Michael Prerau. The goal of this series will be to provide an improved understanding of signal processing basics and best practices to sleep researchers and clinicians, with a long term aim of bringing new methods of signal processing to the regular attention of field. No prior mathematical or signal processing knowledge is required. While numerous exciting developments in signal processing and computational modeling have rapidly been adopted as the standard across numerous diverse fields, these approaches remain uncommon within the study of sleep. One of the main reasons for this is that there have been few resources that cross the divide between the math/engineering literature and sleep science. This seminar series aims to fill that gap. These seminars are designed to be accessible to all without the need for a strong mathematical background. Each talk will have a didactic component, which will describe the methods or practices in question, and an application component, which will show ways of applying these techniques to sleep or related data. By the end of each seminar, you should understand a new set of concepts and have the ability to think of ways of applying those concepts to your own research.