A Comparison of Open-Loop and Closed-Loop Adaptive Calibration for Pattern Recognition based Myoelectric Control
He, Jiayuan ; Zhang, Dingguo ; Sheng, Xinjun ; Zhu, Xiangyang
Motor neuroprostheses – Prostheses
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Neuromuscular systems – EMG processing and applications
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Neuromuscular systems – Learning and adaption
This study presented a closed-loop adaptive calibration (CLAC) scheme where subjects could get instantaneous feedback of their movements…
Enhanced Robustness of Myoelectric Pattern Recognition to Across-Day Variation through Invariant Feature Extraction
Liu, Jianwei ; Zhang, Dingguo ; Sheng, Xinjun ; Zhu, Xiangyang
Biomedical signal classification
Robust pattern recognition is critical for myoelectric prosthesis (MP) developed in the laboratory to be used in real life. This study focuses…
Residuals of Autoregressive Model Providing Additional Information for Feature Extraction of Pattern Recognition-Based Myoelectric Control
Pan, Lizhi ; Zhang, Dingguo ; Sheng, Xinjun ; Zhu, Xiangyang
Biomedical signal classification
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Time-frequency analysis of biosignals
Myoelectric control based on pattern recognition has been studied for several decades. Autoregressive (AR) features are one of the mostly…
