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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Bibliographic Details
Main Authors: Abdullah, Abdul Rahim, Mohd Ali, Nursabillilah, Too, Jing Wei, Tengku Zawawi, Tengku Nor Shuhada, Mohd Saad, Norhashimah
Format: Article
Language:English
Published: Penerbit UTHM 2019
Online Access: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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