DocumentCode :
1984786
Title :
Onset determination of muscle contraction in surface electromyography signals analysis
Author :
Qizhu, Sun ; Yining, Sun ; Xiangfeng, Ding ; Zuchang, Ma
Author_Institution :
Inst. of Intelligent Machines, Chinese Acad. of Sci., Anhui, China
fYear :
2005
fDate :
27 June-3 July 2005
Abstract :
This paper introduces the online and offline onset detection problem of muscle contraction and their specialties, and gives some criteria of the performance of onset detection algorithms, then several methods or algorithms in commonly used are analyzed and compared, such as visual decision, mean value comparison, linear regression of low pass filter and sliding window average. And it discusses the decision threshold issue and presents a new maximum value detection algorithm (MVD) based on the bipolar model algorithm is fast and insensitive to background noise, and fit for online detection.
Keywords :
electromyography; low-pass filters; medical signal processing; regression analysis; bipolar model algorithm; decision threshold issue; low pass filter; maximum value detection algorithm; muscle contraction; offline onset detection problem; sliding window average; surface electromyography signals analysis; Algorithm design and analysis; Detection algorithms; Electromyography; Low pass filters; Muscles; Performance analysis; Prosthetics; Signal analysis; Sun; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9303-1
Type :
conf
DOI :
10.1109/ICIA.2005.1635117
Filename :
1635117
Link To Document :
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