Filtering Essential Tremor noise on surface EMG based on squared sine wave approximation

Masatoshi Seki, Yuya Matsumoto, Takeshi Ando, Yo Kobayashi, Hiroshi Iijima, Masanori Nagaoka, Masakatsu G. Fujie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Essential Tremor (ET) refers to involuntary movements of a part of the body. ET patients have serious difficulties in performing daily living activities. Our ultimate goal is to develop a system that can enable ET patients to perform daily living activities. We have been developing an exoskeleton robot for ET patients. We make use of the electromyogram (EMG) signal to control this robot. However, the EMG signal of ET patients contains not only signals from voluntary movements but also noise from involuntary tremors. In this paper, we focus on developing a signal processing method to suppress tremor noise present in the surface EMG signal. The proposed filter detected attenuation ratio by the correlation between the last EMG data and one period squared sine wave. The filtered EMG signals indicated that essential tremor noise of the elbow flexed posture while holding a water-filled bottle was suppressed. In addition, voluntary information was less affected by the filter. Welch's t-value test confirmed that ease of extraction of voluntary movement was increased by the proposed filter.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages7487-7491
Number of pages5
DOIs
Publication statusPublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA
Duration: 2011 Aug 302011 Sep 3

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CityBoston, MA
Period11/8/3011/9/3

Fingerprint

Essential Tremor
Electromyography
Noise
Robots
Bottles
Signal processing
Tremor
Activities of Daily Living
Water
Dyskinesias
Elbow
Posture
Human Body
Exoskeleton (Robotics)

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Seki, M., Matsumoto, Y., Ando, T., Kobayashi, Y., Iijima, H., Nagaoka, M., & Fujie, M. G. (2011). Filtering Essential Tremor noise on surface EMG based on squared sine wave approximation. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 7487-7491). [6091847] https://doi.org/10.1109/IEMBS.2011.6091847

Filtering Essential Tremor noise on surface EMG based on squared sine wave approximation. / Seki, Masatoshi; Matsumoto, Yuya; Ando, Takeshi; Kobayashi, Yo; Iijima, Hiroshi; Nagaoka, Masanori; Fujie, Masakatsu G.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 7487-7491 6091847.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Seki, M, Matsumoto, Y, Ando, T, Kobayashi, Y, Iijima, H, Nagaoka, M & Fujie, MG 2011, Filtering Essential Tremor noise on surface EMG based on squared sine wave approximation. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6091847, pp. 7487-7491, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, 11/8/30. https://doi.org/10.1109/IEMBS.2011.6091847
Seki M, Matsumoto Y, Ando T, Kobayashi Y, Iijima H, Nagaoka M et al. Filtering Essential Tremor noise on surface EMG based on squared sine wave approximation. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 7487-7491. 6091847 https://doi.org/10.1109/IEMBS.2011.6091847
Seki, Masatoshi ; Matsumoto, Yuya ; Ando, Takeshi ; Kobayashi, Yo ; Iijima, Hiroshi ; Nagaoka, Masanori ; Fujie, Masakatsu G. / Filtering Essential Tremor noise on surface EMG based on squared sine wave approximation. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. pp. 7487-7491
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