Title :
Direct On-Line Estimation of Muscle Fiber Conduction Velocity by Surface Electromyography
Author_Institution :
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, England, and the Avon Neurological/Stroke Rehabilitation Unit, Frenchay Hospital
Abstract :
A new approach to the measurement of muscle fiber conduction velocity by surface electromyography (EMG) is developed, based upon a triple surface-electrode configuration. Unlike previously reported methods, it does not require the Fourier transformation of raw EMG data, and can be implemented on-line on a simple digital computer. Although programmed here on a PDP-11 machine, the algorithms developed are equally suited to a 16-bit microprocessor, without any need for hardware multiplication or floating-point facilities. Accurate conduction velocity estimates may be obtained every few seconds.
Keywords :
Displays; Electrodes; Electromyography; Frequency estimation; Hardware; Microprocessors; Muscles; Signal processing; Skin; Velocity measurement; Action Potentials; Computers; Electromyography; Electronics, Medical; Humans; Muscle Contraction; Muscles; Neural Conduction; Online Systems;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1979.326444