Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects

• Published in: IEEE access Vol. 7; pp. 10150 - 10165
• Main Authors: Samuel, Oluwarotimi Williams, Asogbon, Mojisola Grace, Geng, Yanjuan, Al-Timemy, Ali H., Pirbhulal, Sandeep, Ji, Ning, Chen, Shixiong, Fang, Peng, Li, Guanglin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Amputation; Amputees; Control methods; Control systems; Degrees of freedom; Electrodes; electromyogram; Electromyography; Machine learning; Muscle contraction; Muscles; Muscular function; Pattern recognition; Prostheses; Prosthetics; rehabilitation; Robust control; upper-limb prostheses; Wrist

Upper-limb amputation imposes significant burden on amputees thereby restricting them from fully exploring their environments during activities of daily living. The use of intelligent learning algorithm for electromyogram-pattern recognition (EMG-PR)-based control in upper-limb prostheses is conside...