NDLI: Detection of tremor bursts from the sEMG Signal: An optimization procedure for different detection methods

Content Provider	IEEE Xplore Digital Library
Author	De Marchis, C. Conforto, S. Severini, G. Schmid, M. D'Alessio, T.
Copyright Year	2011
Description	Author affiliation: Departement of Applied Electronics, University Roma TRE, Italy (De Marchis, C.; Conforto, S.; Severini, G.; Schmid, M.; D'Alessio, T.)
Abstract	Two different detection techniques for EMG burst detection are here used to reveal tremor in both a set of synthetic data and in a small sample of experimental trials. An optimization procedure that employs the minimization of a cost function to provide the parameter set characterizing the two techniques is here presented and its performance assessed. The results obtained with the optimization procedure are satisfactory and suitable for practical use: the values for both bias and standard deviation in the estimation of both onset and offset time instants are lower than 10 ms, and the sensitivity and positive predictive value in the detection of tremor bursts are > 96% for SNR levels higher than 6 dB.
Starting Page	7508
Ending Page	7511
File Size	627730
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091851
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	Muscles Signal to noise ratio Detectors Cost function Electromyography Pathology
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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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