Title :
Sound myogram: time and frequency domain analysis
Author :
Orizio, Claudio ; Perini, Renza ; Veicsteinas, Arsenio
Author_Institution :
Inst. di Fisiologia Umana, Brescia Univ., Italy
Abstract :
The sound myogram (SMG) detected at the biceps surface by a contact sensor and the EMG were studied during 4-s isometric contractions from 10% to 100% maximum voluntary contraction (MVC) and exhausting isometric contractions at 20%, 40%, 60%, and 80% MVC. The amplitude of SMG was estimated by the integration of the signal. Frequency-domain analysis was performed by MESE (maximum-entropy spectrum estimation) and FFT (fast Fourier transform) methods. The cross-spectrum was also calculated. The SMG amplitude, the spectrum morphology, the spectral parameters, and the cross-spectrum characteristics reflect the effort intensity and the developing fatigue. The results suggest that the MUs activation pattern can be retrieved by means of this noninvasive tool
Keywords :
bioacoustics; muscle; 4 s; biceps surface; contact sensor; cross-spectrum characteristics; effort intensity; exhausting isometric contractions; frequency domain analysis; maximum voluntary contraction; motor unit activation pattern; noninvasive tool; sound myogram; time domain analysis; Acoustic sensors; Bandwidth; Design for experiments; Electromyography; Face detection; Fatigue; Force feedback; Force sensors; Frequency domain analysis; Muscles;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96073
