TY - GEN
T1 - A hybrid multi-channel surface EMG decomposition approach by combining CKC and FCM
AU - Ning, Yong
AU - Zhu, Shanan
AU - Zhu, Xiangjun
AU - Zhang, Yingchun
PY - 2013
Y1 - 2013
N2 - A hybrid approach is successfully developed in this study by combining the fuzzy C means (FCM) clustering method and Convolution Kernel Compensation (CKC) method for multi-channel surface electromyogram (EMG) decomposition. The FCM is utilized to estimate the initial innervation pulse trains (IPTs) of motor units (MUs) from a few channel surface EMG signals, the CKC method is then employed to estimate the final IPTs. Computer simulation results demonstrate the improved efficiency and accuracy of the hybrid approach compared to the classic CKC method.
AB - A hybrid approach is successfully developed in this study by combining the fuzzy C means (FCM) clustering method and Convolution Kernel Compensation (CKC) method for multi-channel surface electromyogram (EMG) decomposition. The FCM is utilized to estimate the initial innervation pulse trains (IPTs) of motor units (MUs) from a few channel surface EMG signals, the CKC method is then employed to estimate the final IPTs. Computer simulation results demonstrate the improved efficiency and accuracy of the hybrid approach compared to the classic CKC method.
UR - http://www.scopus.com/inward/record.url?scp=84897696345&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897696345&partnerID=8YFLogxK
U2 - 10.1109/NER.2013.6695940
DO - 10.1109/NER.2013.6695940
M3 - Conference contribution
AN - SCOPUS:84897696345
SN - 9781467319690
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 335
EP - 338
BT - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
T2 - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Y2 - 6 November 2013 through 8 November 2013
ER -