TY - JOUR
T1 - Bandwidth optimization for filter-based fatigue index in different inter-electrode distances
AU - Kim, Jungyoon
AU - Son, Jongsang
AU - Kim, Youngho
N1 - Publisher Copyright:
© 2014 - IOS Press and the authors.
PY - 2014
Y1 - 2014
N2 - In this study, the bandwidth of the filter-based fatigue index was determined by the comparison of optimized cutoff frequencies in different inter-electrode distances. Sixty-one subjects participated in isometric knee extension, isotonic ankle dorsiflexion, and isotonic elbow extension exercises. Electromyography (EMG) signals were obtained from right rectus femoris, triceps brachii, and tibialis anterior muscles during exercises. The filter-based fatigue index was compared with mean root-mean-square values, median frequency, Dimitrov spectral index, and Gonzalez-Izal wavelet index. Optimized cutoff frequencies of the high-pass filter for three different exercises and three different inter-electrode distances were about 350 Hz. Results from this study support that around 350 Hz high-pass filter could be useful to determine cut-off frequency for fatigue prediction in general purposes.
AB - In this study, the bandwidth of the filter-based fatigue index was determined by the comparison of optimized cutoff frequencies in different inter-electrode distances. Sixty-one subjects participated in isometric knee extension, isotonic ankle dorsiflexion, and isotonic elbow extension exercises. Electromyography (EMG) signals were obtained from right rectus femoris, triceps brachii, and tibialis anterior muscles during exercises. The filter-based fatigue index was compared with mean root-mean-square values, median frequency, Dimitrov spectral index, and Gonzalez-Izal wavelet index. Optimized cutoff frequencies of the high-pass filter for three different exercises and three different inter-electrode distances were about 350 Hz. Results from this study support that around 350 Hz high-pass filter could be useful to determine cut-off frequency for fatigue prediction in general purposes.
KW - Bandwidth optimization
KW - Electromyography
KW - Fatigue
KW - Filter
KW - Unter-electrode distance
UR - http://www.scopus.com/inward/record.url?scp=84907266378&partnerID=8YFLogxK
U2 - 10.3233/BME-141198
DO - 10.3233/BME-141198
M3 - Article
C2 - 25227085
AN - SCOPUS:84907266378
VL - 24
SP - 3701
EP - 3708
JO - Bio-Medical Materials and Engineering
JF - Bio-Medical Materials and Engineering
SN - 0959-2989
IS - 6
ER -