Applying EMG spike and peak counting for a real-time muscle fatigue monitoring system

Author

Dayan, O. ; Spulber, I. ; Eftekhar, Amir ; Georgiou, Pantelis ; Bergmann, J. ; McGregor, Alison

Author_Institution

Centre for Bio-Inspired Technol., Imperial Coll. London, London, UK

fYear

2012

fDate

28-30 Nov. 2012

Firstpage

41

Lastpage

44

Abstract

This paper introduces an electromyography (EMG) signal spike-counter system for quantification of muscle fatigue. Through a study of fatiguing leg extension of the rectus femoris (RF) and vastus lateralis (VL) muscles we show that spike and peak counting in EMG data is significantly correlated (>;0.85-R-squared value) with the traditional median frequency (MDF) quantifier for muscle fatigue. This allows for a more computationally efficient and simpler approach using spike counting for an implementation of a real-time muscle fatigue monitoring system.

Keywords

electromyography; medical signal processing; patient monitoring; EMG spike; electromyography; leg extension; muscle fatigue quantification; peak counting; real-time muscle fatigue monitoring system; rectus femoris muscles; signal spike-counter system; traditional median frequency quantifier; vastus lateralis muscles; Correlation coefficient; Electromyography; Fatigue; Force; Monitoring; Muscles; Radio frequency;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE

Conference_Location

Hsinchu

Print_ISBN

978-1-4673-2291-1

Electronic_ISBN

978-1-4673-2292-8

Type

conf

DOI

10.1109/BioCAS.2012.6418474

Filename

6418474