DocumentCode
2297379
Title
Decomposition of superimposed waveforms using the cross time frequency transform
Author
Bonato, P. ; Erim, Z.
Author_Institution
Neuro Muscular Res. Center, Boston Univ., MA, USA
Volume
6
fYear
2000
fDate
2000
Firstpage
3550
Abstract
The identification of the timing of the discharges of groups of muscle fibers (motor units) is of utmost importance in research into the strategies employed by the central nervous system in producing muscle force as well as in the clinical diagnosis of neuromuscular diseases. The process involves the recognition of unique shapes (action potentials) contributed by different motor units at random times throughout a muscle contraction. This paper addresses a specific aspect, of the identification process: the decomposition of the compound signal when the action potentials of two or more motor units are superimposed. We propose a cross-time-frequency-based procedure to identify which two (out of a previously identified collection of waveforms) are included in a superposition. The procedure also determines the relative delay of the two waveforms
Keywords
bioelectric potentials; diseases; medical signal processing; muscle; neurophysiology; patient diagnosis; time-frequency analysis; transforms; waveform analysis; action potentials recognition; central nervous system; clinical diagnosis; compound signal decomposition; cross time frequency transform; motor units; muscle contraction; muscle fibers; muscle force; neuromuscular diseases; relative waveform delay; shape recognition; superimposed waveforms decomposition; timing identification; Central nervous system; Clinical diagnosis; Diseases; Filtering; Muscles; Neuromuscular; Propagation delay; Signal processing; Time frequency analysis; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.860168
Filename
860168
Link To Document