Title :
Non-invasive diagnosis of myopathy using transputer EMG analysis
Author :
Preece, Alan W. ; Preece, David L. ; Jones, Rosie ; Green, Josie ; Morgan, Hihry
Author_Institution :
Bristol Univ., UK
Abstract :
Surface recorded electromyogram (EMG) interference patterns were analyzed online for turns, zero crossings, frequency content and amplitude data. Patients studied with this technique had multiple sclerosis, dermatomyositis and various dystrophies. The different characteristics illustrated by the measurement technique are shown. It is found that mathematical analysis of EMG signals, even from surface recordings, contains sufficient data to characterize certain myopathies
Keywords :
bioelectric potentials; muscle; patient diagnosis; waveform analysis; amplitude data; dermatomyositis; dystrophy; frequency content; mathematical analysis; measurement technique; multiple sclerosis; myopathy; noninvasive diagnosis; surface recordings; transputer EMG analysis; turns; zero crossings; Clouds; Electromyography; Fatigue; Frequency; Immune system; Interference; Multiple sclerosis; Muscles; Optical fiber devices; Recruitment;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96414
