Classification of Wrist Movements from Electromyography Signals
Author:
Affiliation:
1. Indian Institute of Technology,Department of Physics,Madras,Chennai,India
2. Hokkaido University,Department of Engineering,Sapporo,Japan
3. Periwinkle Technologies Pvt. Ltd.,R&D Department,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502389/10502407/10503039.pdf?arnumber=10503039
Reference9 articles.
1. Peripheral Nerve Trauma: Mechanisms of injury and recovery;Menorca;Hand Clinics on ScienceDirect,2013
2. Prevalence of Carpal Tunnel Syndrome and its associated factors among patients with musculoskeletal compliant at Dilchora Referral Hospitals in Dire Dawa administration;Yesuf;Eastern Ethiopia, 2022,2023
3. Real-time, simultaneous myoelectric control using a convolutional neural network
4. Classification of 41 Hand and Wrist Movements via Surface Electromyogram Using Deep Neural Network
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