Title :
Identification of AR parameters for continuous upper-limb EMG
Author :
Zhang, Hai-hong ; Wang, Zhi-Zhong ; Cai, Li-yu ; Lei, Min ; Cai, Hua
Author_Institution :
Dept. of Biomed. Eng., Shanghai Jiaotong Univ., China
fDate :
28 Oct-1 Nov 1998
Abstract :
Earlier methods for the identification of EMG were concerned with manual segmented signals, but the continuous EMG needs to be identified in real situations. In this paper, a new method is proposed to separate the signals automatically before identification and the practicality of the method is proved by experiment. Also, an improved technique of extracting AR parameters is developed, leading to a lower error discrimination rate
Keywords :
autoregressive processes; electromyography; least squares approximations; medical signal processing; parameter estimation; signal sampling; automatic segmentation; automatical signals separation; autoregressive parameters identification; continuous upper-limb EMG; lower error discrimination rate; prosthesis control; Biomedical engineering; Electromyography; Error analysis; Interference; Signal detection; Signal processing; Testing; Time series analysis;
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.1998.744997
