DocumentCode :
1700604
Title :
The use of cross correlation function in onset detection of electromyographic signals
Author :
Soares, S.B. ; Coelho, R.R. ; Nadal, Jeremy
Author_Institution :
Lab. de Processamento de Sinais e Imagens Medicas, UFRJ, Rio de Janeiro, Brazil
fYear :
2013
Firstpage :
1
Lastpage :
5
Abstract :
The use of electromyographic signals (EMG) to study muscle coordination requires robust methods to accurately detect EMG onset, especially when investigating anticipatory actions or the order of muscle recruitment during motion analysis. Some studies have used the normalized cross-correlation function (CCF) for estimating activation delays. This study aimed at evaluating the use of CCF to determine time delays between pairs of EMG, in comparison with a visual detection of EMG onset. 372 isotonic motion EMG from four different muscles from 31 subjects were analyzed during the movement of prone hip extension with knee extension. All comparisons including gluteus maximus muscle resulted with significant differences between methods. This found suggest that the use of CCF for evaluating delay in muscular activation onset requires caution, since this function takes into account the whole signal patterns and not only the EMG onsets.
Keywords :
biomechanics; electromyography; medical signal detection; medical signal processing; EMG onset detection; activation delay estimation; anticipatory actions; electromyographic signals; knee extension; motion analysis; muscle coordination; muscle recruitment order; normalized CCF; normalized cross correlation function; prone hip extension; Correlation; Delays; Electromyography; Hip; Muscles; Standards; Visualization; Cross-correlation function; electromyography; muscle activity; onset detection; signal conditioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP
Conference_Location :
Rio de Janerio
ISSN :
2326-7771
Print_ISBN :
978-1-4673-3024-4
Type :
conf
DOI :
10.1109/BRC.2013.6487470
Filename :
6487470
Link To Document :
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