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Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study
Abstract
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.
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Cites
Physiology and Mathematics of Myoelectric Signals
De Luca, C. J. (1979) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1979.326534 · Cited by 684
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Myoelectric control systems—A survey
Asghari Oskoei, M., & Hu, H. (2007) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.07.009 · Cited by 1,244
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Hug, F., & Dorel, S. (2009) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2007.10.010 · Cited by 358
Young, A. J., Hargrove, L. J., & Kuiken, T. A. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2159216 · Cited by 287
Forced, not voluntary, exercise improves motor function in Parkinson's disease patients
Ridgel, A. L., Vitek, J. L., & Alberts, J. L. (2009) · Neurorehabilitation and neural repair · doi:10.1177/1545968308328726 · Cited by 284
Metadata
- Authors
- Karlsson, S., Yu, J., & Akay, M.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2000
- Volume
- 47
- Issue
- 2
- Pages
- 228-238
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2161490686
- Cited by
- 358
- References
- 1
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- closed
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