Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions-Reference-Cited by-同舟云学术

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Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions

Published:2023 Issue: Volume:11 Page:129566-129575
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Akhil V. M.¹^ORCID,Satheesh Rahul²,Ashmi M.³,Tawk Charbel D.⁴^ORCID

Affiliation:

1. School of Interdisciplinary Research, Indian Institute of Technology Delhi, New Delhi, India

2. Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India

3. National Center for Assistive Health Technologies (NCAHT), National Institute of Speech and Hearing, Thiruvananthapuram, Kerala, India

4. Department of Industrial and Mechanical Engineering, School of Engineering, Lebanese American University, Byblos, Lebanon

Funder

National Institute of Technology, Calicut

Lebanese American University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10318135.pdf?arnumber=10318135

Reference45 articles.

1. Estimation of the knee joint angle from surface electromyographic signals for active control of leg prostheses

2. Development of a myoelectric discrimination system for a multi-degree prosthetic hand

3. Wavelet transform analysis of electromyography Kung Fu strikes data;neto;J Sports Sci Med,2009

4. Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb

5. Feature extraction of forearm EMG signals for prosthetics

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