Prediction of Elbow Joint Motion of Stroke Patients by Analyzing Biceps and Triceps Electromyography Signals-Reference-Cited by-同舟云学术

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Prediction of Elbow Joint Motion of Stroke Patients by Analyzing Biceps and Triceps Electromyography Signals

Published:2023-06-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
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Author:

Qassim Hassan M.¹,Wan Hasan W. Z.²,Ramli H. R.²,Harith Hazreen H.³,Inchi Mat Liyana Najwa⁴,Salim MSF⁵

Affiliation:

1. Universiti Putra Malaysia,Department of Medical Instrumentation Engineering,Selangor,Malaysia

2. Universiti Putra Malaysia,Department of Electrical and Electronic Engineering,Selangor,Malaysia

3. Universiti Putra Malaysia,Department of Biological and Agricultural Engineering,Selangor,Malaysia

4. Universiti Putra Malaysia,Department of Neurology,Selangor,Malaysia

5. Universiti Putra Malaysia,Department of Rehabilitation Medicine,Selangor,Malaysia

Funder

Universiti Putra Malaysia (UPM)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10218345/10218374/10218631.pdf?arnumber=10218631

Reference11 articles.

1. Surface EMG Classification of Basic Hand Movement

2. A Low-Cost Arm Robotic Platform based on Myoelectric Control for Rehabilitation Engineering

3. A 3D-Printed, Adjustable Armband for Electromyography-Based Finger Movement Classification With Haptic Feedback

4. A Review on Surface Electromyography-Controlled Hand Robotic Devices Used for Rehabilitation and Assistance in Activities of Daily Living

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