ライブラリ登録: Guest
Begell Digital Portal Begellデジタルライブラリー 電子書籍 ジャーナル 参考文献と会報 リサーチ集
Critical Reviews™ in Biomedical Engineering
SJR: 0.26 SNIP: 0.375 CiteScore™: 1.4

ISSN 印刷: 0278-940X
ISSN オンライン: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.v38.i5.20
pages 435-465

Intramuscular EMG Signal Decomposition

Hossein Parsaei
Department of Systems Design Engineering, University of Waterloo, Canada
Daniel W. Stashuk
Department of Systems Design Engineering, University of Waterloo, Canada
Sarbast Rasheed
Department of Systems Design Engineering, University of Waterloo, Canada
Charles Farkas
Department of Systems Design Engineering, University of Waterloo, Canada
Andrew Hamilton-Wright
Department of Mathematics and Computer Science, Mount Allison University, New Brunswick, Canada

要約

Information regarding motor unit potentials (MUPs) and motor unit fi ring patterns during muscle contractions is useful for physiological investigation and clinical examinations either for the understanding of motor control or for the diagnosis of neuromuscular disorders. In order to obtain such information, composite electromyographic (EMG) signals are decomposed (i.e., resolved into their constituent motor unit potential trains [MUPTs]). The goals of automatic decomposition techniques are to create a MUPT for each motor unit that contributed significant MUPs to the original composite signal. Diagnosis can then be facilitated by decomposing a needle-detected EMG signal, extracting features of MUPTs, and finally analyzing the extracted features (i.e., quantitative electromyography). Herein, the concepts of EMG signals and EMG signal decomposition techniques are explained. The steps involved with the decomposition of an EMG signal and the methods developed for each step, along with their strengths and limitations, are discussed and compared. Finally, methods developed to evaluate decomposition algorithms and assess the validity of the obtained MUPTs are reviewed and evaluated.


Articles with similar content:

A Review of Clinical Quantitative Electromyography
Critical Reviews™ in Biomedical Engineering, Vol.38, 2010, issue 5
Daniel W. Stashuk, Hossein Parsaei, Charles Farkas, Andrew Hamilton-Wright
DESIGN OF INTEGRAL CONTROL ALGORITHMS FOR THE LATERAL CHANNEL OF THE FLY-BY-WIRE CONTROL SYSTEM OF ADVANCED HIGH-SPEED HELICOPTERS
TsAGI Science Journal, Vol.47, 2016, issue 8
Vladimir Mikhailovich Kuvshinov
COMPARATIVE STUDY OF LAGRANGIAN EVOLUTION OF DISTURBANCES: VORTICITY VERSUS MATERIAL LINES
TSFP DIGITAL LIBRARY ONLINE, Vol.5, 2007, issue
Barak Galanti, Alexander Liberzon, Arkady Tsinober, Dmitri Gendler- Fishman
Multicriteria and Multiparameter Analysis of Preference Functions in Job Ordering Problems. Part II.
Journal of Automation and Information Sciences, Vol.30, 1998, issue 4-5
Tadeush Witkowski
Monitoring Approaches in General Anesthesia: A Survey
Critical Reviews™ in Biomedical Engineering, Vol.30, 2002, issue 1-3
Eric Wodey, Lotfi Senhadji, Claude Ecoffey