Title :
EMG burst waveform recognition procedure
Author :
Dwyer, Gene ; Noguchi, Yasuaki ; Szeto, Hazel H.
Author_Institution :
Dept. of Pharmacology, Cornell Univ. Med. Coll., New York, NY, USA
Abstract :
A fast, simple EMG (electromyogram) burst waveform recognition algorithm has been developed for a personal computer. Raw EMG data are detrended, squared, and filtered. A sample EMG waveform segment, known as a template, is drawn from this data. A recognition signal is constructed as the convolution of the template and the prepared EMG data. This recognition signal is interpreted to yield the position, duration, and strength of individual EMG bursts
Keywords :
bioelectric potentials; computerised pattern recognition; medical computing; muscle; EMG burst waveform recognition procedure; personal computer algorithm; recognition signal; template convolution; Biology computing; Data analysis; Educational institutions; Electromyography; Fluid flow measurement; Low pass filters; Microcomputers; Pressure measurement; Strips; Time measurement;
Conference_Titel :
Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
Conference_Location :
Boston, MA
DOI :
10.1109/NEBC.1989.36787
