Title :
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
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;
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
DOI :
10.1109/BioCAS.2012.6418474
