DocumentCode
2381475
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
fYear
1989
fDate
27-28 Mar 1989
Firstpage
235
Lastpage
236
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
Conference_Location
Boston, MA
Type
conf
DOI
10.1109/NEBC.1989.36787
Filename
36787
Link To Document