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Artifact elimination using fuzzy rule based adaptive nonlinear filter
Artifact elimination using fuzzy rule based adaptive nonlinear filter
Kiryu, T.
Kaneko, H.
Saitoh, Y.
©(1994) IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained the IEEE.
Myoelectric (ME) signals during dynamic movement suffer from artifact noise caused by mechanical friction between electrodes and the skin. The frequency components of artifact noise are similar to those of ME signals. Thus it is difficult to reject artifact noise using linear filters. the authors have proposed a nonlinear artifact elimination method that consists of an inverse autoregressive (AR) filter, a nonlinear filter, and the AR filter. To improve the performance they installed adaptive filters so as to track time-varying signals. However, fuzzy rules were employed for fine control of the nonlinear parameter. As a result, the authors achieved a better artifact elimination performance. The fuzzy rule based adaptive nonlinear filter will be useful in sport, science and rehabilitation
IEEE
1994
eng
conference paper
http://hdl.handle.net/10191/5006
https://niigata-u.repo.nii.ac.jp/records/30888
info:doi/10.1109/ICASSP.1994.389952
ICASSP-94. 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1994.
ICASSP-94. 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1994.
3
613
616
https://niigata-u.repo.nii.ac.jp/record/30888/files/(Kiryu artifact)00389952.pdf
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