Baseline adaptive Wavelet thresholding technique for sEMG denoising

L. Bartolomeo, M. Zecca, S. Sessa, Z. Lin, Y. Mukaeda, H. Ishii, Atsuo Takanishi

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

The surface Electromyography (sEMG) signal is affected by different sources of noises: current technology is considerably robust to the interferences of the power line or the cable motion artifacts, but still there are many limitations with the baseline and the movement artifact noise. In particular, these sources have frequency spectra that include also the lowfrequency components of the sEMG frequency spectrum; therefore, a standard all-bandwidth filtering could alter important information. The Wavelet denoising method has been demonstrated to be a powerful solution in processing white Gaussian noise in biological signals. In this paper we introduce a new technique for the denoising of the sEMG signal: by using the baseline of the signal before the task, we estimate the thresholds to apply to the Wavelet thresholding procedure. The experiments have been performed on ten healthy subjects, by placing the electrodes on the Extensor Carpi Ulnaris and Triceps Brachii on right upper and lower arms, and performing a flexion and extension of the right wrist. An Inertial Measurement Unit, developed in our group, has been used to recognize the movements of the hands to segment the exercise and the pre-task baseline. Finally, we show better performances of the proposed method in term of noise cancellation and distortion of the signal, quantified by a new suggested indicator of denoising quality, compared to the standard Donoho technique.

本文言語English
ホスト出版物のタイトル2011 International Symposium on Computational Models for Life Sciences, CMLS-11
ページ205-214
ページ数10
DOI
出版ステータスPublished - 2011
イベント2011 International Symposium on Computational Models for Life Sciences, CMLS-11 - Toyama City, Japan
継続期間: 2011 10 112011 10 13

出版物シリーズ

名前AIP Conference Proceedings
1371
ISSN(印刷版)0094-243X
ISSN(電子版)1551-7616

Conference

Conference2011 International Symposium on Computational Models for Life Sciences, CMLS-11
CountryJapan
CityToyama City
Period11/10/1111/10/13

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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