Application Of Digital Signal Processing And Machine Learning For Electromyography: A Review

Application Of Digital Signal Processing And Machine Learning For Electromyography: A Review

Digital signal processing (DSP) and Machine learning (ML) have emerged as promising approaches to automate prediction tasks into electromyography (EMG) muscles conditions. To fill the research gap, This paper reviews the state-of-the-art applications of DSP and ML for EMG signal analysis. DSP techni...

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Bibliographic Details
Main Authors: Mohd Saad, Norhashimah, Omar, Siti Nashayu, Abdullah, Abdul Rahim, Shair, Ezreen Farina, Tengku Zawawi, Tengku Nor Shuhada
Format: Article
Language:English
Published: AJMedTech 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25652/2/5-FULL%20ARTICLE%20-84-1-10-20210730%20AJMEDTECH.PDF
http://eprints.utem.edu.my/id/eprint/25652/
https://ajmedtech.com/index.php/journal/article/view/5/3
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Institution: Universiti Teknikal Malaysia Melaka
Language: English

Internet

http://eprints.utem.edu.my/id/eprint/25652/2/5-FULL%20ARTICLE%20-84-1-10-20210730%20AJMEDTECH.PDF
http://eprints.utem.edu.my/id/eprint/25652/
https://ajmedtech.com/index.php/journal/article/view/5/3

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