Title :
Solving superposition of motor unit action potential waveforms through a cross-time-frequency based methodology
Author :
Bonato, P. ; Erim, Z.
Author_Institution :
NeuroMuscular Res. Center, Boston Univ., MA, USA
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; pattern recognition; time-frequency analysis; waveform analysis; central nervous system; clinical diagnosis; compound signal decomposition; cross-time-frequency based methodology; discharges; identification process; motor unit action potential waveforms; muscle contraction; muscle fibers; muscle force; neuromuscular diseases; relative delay; superposition solution; timing; unique shape recognition; Central nervous system; Clinical diagnosis; Filtering; Muscles; Neuromuscular; Propagation delay; Signal processing; Time frequency analysis; Timing; USA Councils;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.897871