Title :
An EMG classifying method based on Bayes´ criterion
Author :
Lei, Min ; Wang, Zhi-bong ; Cai, Li-yu ; Zhang, Hai-hong ; Cai, Hua
Author_Institution :
Dept. of Biomed. Eng., Shanghai Jiaotong Univ., China
fDate :
28 Oct-1 Nov 1998
Abstract :
To counter the applied request of electromyography prosthesis and the characteristics of EMG signal, a method of EMG pattern recognition based on Bayes´ criterion is presented. Two constraints of probability and time domain parameters are given to reduce the error rate of the prosthetic action. From the experiment to real EMG signals, this method is proved to be applicable to the control of EMG prosthesis
Keywords :
Bayes methods; autoregressive processes; biocontrol; electromyography; medical signal processing; neuromuscular stimulation; pattern classification; probability; prosthetics; signal classification; Bayes criterion; EMG pattern recognition; EMG prosthesis control; autoregressive models; pattern classification; probability constraints; prosthetic action error rate; real EMG signals; time domain parameters; Biomedical engineering; Counting circuits; Electromyography; Error analysis; Gaussian distribution; Mathematical model; Mathematics; Pattern recognition; Prosthetics; Signal processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.744998
