DocumentCode :
27617
Title :
Improved algorithm of muscle fatigue detection using linear regression analysis
Author :
Hu, W.W. ; Huang, Y.C. ; Li, C.P.
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
Volume :
49
Issue :
2
fYear :
2013
fDate :
January 17 2013
Firstpage :
89
Lastpage :
91
Abstract :
Conventional linear regression analysis methods used to measure muscle fatigue based on mean power frequency (MPF) can yield results that are dependent on the epoch of each MPF value. An improved algorithm containing two window segmenting methods, overlapped and non-overlapped schemes, is provided to investigate the effect of window length on linear regression analysis during sustained isometric constant force muscle contraction. The minimal length of each segment can be determined by making the slope sign changes to be zero. In conclusion, the minimal length is independent of the epoch of each MPF value.
Keywords :
biomechanics; biomedical measurement; muscle; regression analysis; MPF value; linear regression analysis; mean power frequency; muscle fatigue detection algorithm; muscle fatigue measurement; nonoverlapped scheme; overlapped scheme; slope sign changes; sustained isometric constant force muscle contraction; window segmenting methods;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2012.2316
Filename :
6420069
Link To Document :
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