Time-frequency analysis of myoelectric signals during dynamic contractions: A comparative study

被引:239
作者
Karlsson, S [1 ]
Yu, J
Akay, M
机构
[1] Umea Univ Hosp, Dept Biomed Engn & Informat, S-90185 Umea, Sweden
[2] Fac Hlth Sci, Dept Rehabil Med, S-58185 Linkoping, Sweden
[3] Umea Univ, Dept Math Stat, S-90187 Umea, Sweden
[4] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA
关键词
Choi-Williams distribution (CWD); continuous wavelet transform (CWT); myoelectric (ME) signal; pseudo Wigner-Ville distribution (PWVD); running windowed exponential distribution (RWED); short-time Fourier transform (STFT); spectral change indicator; time-frequency analysis; Wigner-Ville distribution (WVD);
D O I
10.1109/10.821766
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this paper, we introduce the nonstationary signal analysis methods to analyze the myoelectric (ME) signals during dynamic contractions by estimating the time-dependent spectral moments, The time-frequency analysis methods including the short-time Fourier transform, the Wigner-Ville distribution, the Choi-Williams distribution, and the continuous wavelet transform were compared for estimation accuracy and precision on synthesized and real ME signals, It is found that the estimates provided by the continuous wavelet transform have better accuracy and precision than those obtained with the other time-frequency analysis methods on simulated data sets. In addition, ME signals from four subjects during three different tests (maximum static voluntary contraction, ramp contraction, and repeated isokinetic contractions) were also examined.
引用
收藏
页码:228 / 238
页数:11
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