Classification Of Myoelectric Signal Using Spectrogram Based Window Selection

This paper presents a study of the classification of myoelectric signal using spectrogram with different window sizes. The electromyography (EMG) signals of 40 hand movement types are collected from 10 subjects through NinaPro database. By employing spectrogram, the EMG signals are represented in ti...

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Main Authors: Abdullah, Abdul Rahim, Mohd Ali, Nursabillilah, Too, Jing Wei, Tengku Zawawi, Tengku Nor Shuhada, Mohd Saad, Norhashimah
格式: Article
語言:English
出版: Penerbit UTHM 2019
在線閱讀:http://eprints.utem.edu.my/id/eprint/24168/2/CLASSIFICATION%20OF%20MYOELECTRIC%20SIGNAL.PDF
http://eprints.utem.edu.my/id/eprint/24168/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/4694/2991
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