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