A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition

被引：0
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作者：
Xiaorong Zhang
He Huang
机构：
[1] San Francisco State University,School of Engineering
[2] North Carolina State University,NCSU/UNC Rehabilitation Engineering Center (REC), NCSU/UNC Department of Biomedical Engineering
[3] University of North Carolina at Chapel Hill,undefined
来源：
Journal of NeuroEngineering and Rehabilitation | / 12卷
关键词：
Sensor fault-tolerant; EMG pattern recognition; Real-time; Signal disturbance; Practical; Robust; Outlier detection; Self-recovery;
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