Original title: Real Time Emg Detection In Therapeutic Game
Authors: Veselá, Cindy
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This article focuses on real-time detection of activity in electromyographical signal. The study is based on controlling the therapeutic game through the muscle activity, called myofeedback. Many different algorithms can be used to detect EMG signal. Nowadays there is rapid development of artificial intelligence not only in biomedical engineering. In this paper there is implemented convolutional neural network for signal segmentation with accuracy 97,13%.
Keywords: biofeedback; EMG; game; signal; UNET
Host item entry: Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected papers, ISBN 978-80-214-5868-0

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/11012/200622

Permalink: http://www.nusl.cz/ntk/nusl-447674


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
 Record created 2021-07-25, last modified 2021-08-22


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