Estimation of recruitment and firing rate in EMG signals

Author

McGill, Kevin C. ; Kermani, Mahyar Zardoshti ; Lateva, Zoia C.

Author_Institution

Rehabilitation R&D Center, Palo Alto VA Health Care Syst., CA, USA

Volume

3

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1247

Abstract

We present a method for estimating the number of active motor units and the mean motor-unit firing rate for an intramuscularly recorded EMG signal. First, the motor-unit action potentials (MUAPs) are detected by high-pass filtering the signal and detecting all the spikes that exceed a threshold. Then the number of motor units, the mean number of spikes per MUAP, and the mean firing rate are computed using the autocorrelation of interspike intervals. Results from ten moderate-force EMG signals agree well with results obtained by computer-aided decomposition

Keywords

electromyography; medical signal detection; medical signal processing; neurophysiology; parameter estimation; signal sampling; EMG signals; autocorrelation of interspike intervals; computer-aided decomposition; firing rate estimation; high-pass filtering; intramuscularly recorded signal; mean motor-unit firing rate; mean number of spikes; moderate-force signals; motor-unit action potentials; number of active motor units; parameter estimation; recruitment rate estimation; spikes detection; Autocorrelation; Electrodes; Electromyography; Filtering; Medical services; Needles; Quantum computing; Recruitment; Research and development; Signal detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756594

Filename

756594