Original title: Pattern Recognition in Surface Electromyography
Authors: Chalupa, D.
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: In this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.
Keywords: EMG; Fourier; pattern; recognition; Teager-Kaiser
Host item entry: Proceedings of the 21st Conference STUDENT EEICT 2015, ISBN 978-80-214-5148-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/42933

Permalink: http://www.nusl.cz/ntk/nusl-220463


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers