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EMG Detection in Paralyzed Patients


S Monteleone

Semester/Bachelor Thesis, FS 08

This thesis compares three algorithms for the detection of the onset and end of muscle contraction on surface electromyogram (EMG) signals. Thresholding, generalized Likelihood ratio test (GLRT), Teager-Kaiser energy operator (TKEO) offline and TKEO online were implemented. In combination with a calibration phase and a robust multi-threshold detection algorithm they were tested on computer simulated and real EMG signals. In particular detecting contraction on EMG signals from stroke patients, which have a quite low SNR ratio, were the final aim of this study. Two other criteria, that should also be satisfied, are the simplicity and low latency of the algorithms so that it can be implemented in a portable system and finally be part of a neuroprosthesis.

Supervisors: Prof. M. Morari, Dr. M. Lawrence


Type of Publication:

(13)Semester/Bachelor Thesis

M. Morari

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2008:IFA_3189
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