Title :
On Surface EMG Spectral Characterization and Its Application to Diagnostic Classification
Author :
Inbar, Gideon F. ; Noujaim, Antoine E.
Author_Institution :
Department of Electrical Engineering, Technion ¿lsrael Institute of Technology
Abstract :
Surface EMG was recorded from the biceps with fixed muscle length at S0 percent maximal voluntary contraction. The signal bandpass was 10-230 Hz where most of the surface EMG energy is located. The signal sampled at 500 Hz was found to have a changing spectrum. Stationary segments of 500 ms were subject to linear prediction mathematics to model the system.
Keywords :
Biomedical electrodes; Electromyography; Frequency; Mathematical model; Mathematics; Muscles; Needles; Shape; Signal processing; Surface morphology; Electromyography; Humans; Models, Biological; Muscular Diseases; Neuromuscular Diseases; Statistics as Topic;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1984.325303
