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
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