DocumentCode
333160
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
Volume
5
fYear
1998
fDate
28 Oct-1 Nov 1998
Firstpage
2623
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location
Hong Kong
ISSN
1094-687X
Print_ISBN
0-7803-5164-9
Type
conf
DOI
10.1109/IEMBS.1998.744997
Filename
744997
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