DocumentCode :
464824
Title :
On the Time-frequency Analysis of Trunk Muscles During Sudden Release of Load
Author :
Tsui, K.M. ; Zhang, Zhiguo ; Chan, S.C. ; Hu, Yong ; Luk, K.D.K.
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Pokfulam Road
fYear :
2007
fDate :
27-30 May 2007
Firstpage :
1309
Lastpage :
1312
Abstract :
This paper studies the time-frequency analysis of trunk response based on surface electromyography (EMG) under an experimental protocol of sudden load release. Due to difficulties in feature extraction of surface EMG in short-time muscular reflex using conventional time-frequency analysis algorithms, a novel method called adaptive Lomb periodogram (ALP) is employed to improve the time and frequency resolutions by adaptively selecting the window sizes. Experimental results demonstrate the improved time-frequency resolution of the ALP in analyzing the EMG signals compared with conventional methods using scalogram. The findings of this study would provide important information in devising objective and quantitative protocol for neuromuscular function assessment, which are applicable to rehabilitation of low back pain patients, motor control and training, elderly fall prevention and ergonomic studies.
Keywords :
electromyography; feature extraction; neuromuscular stimulation; patient rehabilitation; time-frequency analysis; EMG signals; adaptive Lomb periodogram; feature extraction; low back pain patients; motor control; muscular reflex; neuromuscular function assessment; scalogram; sudden load release; surface electromyography; time-frequency analysis; trunk muscles; Electromyography; Feature extraction; Muscles; Neuromuscular; Pain; Protocols; Response surface methodology; Signal analysis; Signal resolution; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
Type :
conf
DOI :
10.1109/ISCAS.2007.378412
Filename :
4252887
Link To Document :
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