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

Content Provider	IEEE Xplore Digital Library
Author	Seki, M. Matsumoto, Y. Ando, T. Kobayashi, Y. Iijima, H. Nagaoka, M. Fujie, M.G.
Copyright Year	2011
Description	Author affiliation: Graduate School of Creative Science and Engineering, Waseda University, Japan (Matsumoto, Y.) \|\| Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Ohkubo Shinjuku-ku Tokyo 169-8555 Japan (Seki, M.) \|\| Dept. of Robotics & Design for Innovative Healthcare (Panasonic), Graduate School of Medicine, Osaka University, Osaka, Japan (Ando, T.) \|\| Department of Rehabilitation Medicine, Juntendo University, Graduate School, Japan (Nagaoka, M.) \|\| Rehabilitation Engineering Dept., Yokohama Rehabilitation Foundation, Japan (Iijima, H.) \|\| Faculty of Science and Engineering, Waseda University, Japan (Kobayashi, Y.; Fujie, M.G.)
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.
Starting Page	7487
Ending Page	7491
File Size	707795
Page Count	5
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electromyography Elbow Noise Attenuation Robots Correlation Band pass filters
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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