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Comparing Online Performance of EMG Pattern Recognition with and Without joint movements

Journal of Bionic Engineering 2023年第5期20卷 2135-2146页

作者： Lizhi Pan Kai Liu Jianmin Li Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education School of Mechanical EngineeringTianjin UniversityTianjin300350China

Our previous study suggested that the subcutaneous muscle displacement caused by joint movements might alter muscle activation patterns and thus affect the classification performance.To further analyze the effect of joint movements on the online performance of Electromyography(EMG)Pattern Recognition(PR),this study assessed online classification performance with and without joint movements.EMG signals were recorded from the dominant forearm of 10 able-bodied subjects under two motion scenarios:Hand and Wrist joints Unconstrained(HAWJU)and Constrained(HAWJC).Sixth-order autoregressive coefficients and four time-domain features were extracted from EMG signals.Linear Discriminant Analysis(LDA)models were trained to perform an online performance evaluation of the limb motions.The experimental results showed that the four online performance metrics:Motion Selection Time(MST),Motion Completion Time(MCT),Motion Completion Rate(MCR),and Online Classification Accuracy(ONCA)were 0.35 s,1.44 s,97.40%,and 82.61%for HAWJU and 0.37 s,1.47 s,89.70%,and 73.57%for HAWJC,respectively.The outcomes of this study indicated that subcutaneous muscle displacement due to joint movements has a positive effect on online classification performance.The absence of joint movements may be a physiological factor contributing to the poor online performance of the EMG-PR of transradial amputees.This study can provide a new perspective for improving the online performance of EMG-PR for transradial amputees.

关键词： Electromyography(EMG) Pattern recognition(PR) joint movements Online performance

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Comparing EMG Pattern Recognition with and Without Hand and Wrist movements

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Journal of Bionic Engineering 2022年第3期19卷 700-708页

作者： Lizhi Pan Kai Liu Kun Zhu Jianmin Li Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education School of Mechanical EngineeringTianjin UniversityTianjin300072China

Electromyography(EMG)pattern recognition has been widely employed for prosthesis control.Several studies demonstrated that amputees had poorer performances of EMG pattern recognition when compared to able-bodied individuals.Several factors,such as the muscle weakness and atrophy of residual limbs,the length of residual limbs,and the decrease of the affected side's motor cortex,had been studied to improve the performance of amputees.However,there was no study on the factor that the absence of joint movements for amputees.This study aimed to investigate whether the hand and wrist joint movements had effects on the EMG pattern recognition.Ten able-bodied subjects were tested for 11 hand and wrist gestures with two different gesture modalities:hand and wrist joints unconstrained(HAWJU)and constrained(HAWJC).Time-domain(TD)features and Linear Discriminant Analysis(LDA)were employed to compare the classification performance of the two modalities.Compared to HAWJU,HAWJC significantly reduced the average Classification Accuracy(CA)across all subjects from 95.53 to 85.52%.The experimental results demonstrated that the hand and wrist joint movements had significant effects on EMG pattern recognition.The outcomes provided a new perspective to study the factors affecting EMG pattern recognition.

关键词： Electromyography(EMG) Pattern recognition Classification accuracy(CA) joint movements

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