Pattern Recognition in Surface Electromyography

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eeict2015-68-chalupa.pdf(557.29 KB)
Date
2015
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Mark
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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.
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Keywords
EMG, pattern, recognition, Fourier, Teager-Kaiser
Citation
Proceedings of the 21st Conference STUDENT EEICT 2015. s. 68-70. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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cs
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/42933
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Student EEICT 2015
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