Matching Pursuit and Unification in EEG Analysis (Engineering in Medicine & Biology)

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Matching Pursuit and Unification in EEG Analysis (Engineering in Medicine & Biology)

Author :
Rating : 4.39 (998 Votes)
Asin : 1580533043
Format Type : paperback
Number of Pages : 184 Pages
Publish Date : 2017-11-13
Language : English

DESCRIPTION:

He is the author of three books, several articles in peer-reviewed journals, and chapters in monographs and encyclopedias. About the Author Piotr J Durka is an assistant professor at Warsaw University's Institute of Experimental Physics, Department of Biomedical Physics. Dr. and Dr. in physics. Hab. He holds an M.Sc., Ph.D. Durka introduced the matching pursuit algorithm into the field of biomedical signals analysis.

and Dr. . Hab. Piotr J Durka is an assistant professor at Warsaw University's Institute of Experimental Physics, Department of Biomedical Physics. He is the author of three books, several articles in peer-reviewed journals, and chapters in monographs and encyclopedias. Dr. Durka introduced the matching pursuit algorithm into the field of biomedical signals analysis. He holds an M.Sc., Ph.D. in physics

The book covers various applications in sleep, ERD/ERS, pharmaco-EEG, and epilepsy research, featuring full mathematical details to help engineers and researchers modify procedures or design all-new frameworks for biomedical signal analysis. Including a web link where readers can freely download the software used in the applications, this unique resource will prove indispensable to all biomedical engineers and researchers looking to broaden the applicability of EEGs and blaze new trails in biomedical signal analysis and research.. This first-of-its-kind guide bridges the gap from visual analysis to signal processing techniques, providing engineers, researchers, and clinicians with an innovative, clear methodology for biomedical signal analysis. Although visual analysis of EEGs has been the state of the art in electroencephalography for 70 years, advanced signal processing methods offer a superior alternative in numerous biomedical clinical and research applications

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