Soundmyogram: Time and frequency domain analysis

Claudio Orizio, Renza Perini, Arsenio Veicsteinas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The soundmyogram (SMG) detected at the biceps surface by a contact sensor and the sEMG 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.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsYongmin Kim, Francis A. Spelman
PublisherPubl by Alliance for Engineering in Medicine & Biology
Pages1036-1038
Number of pages3
Volume11 pt 3
Publication statusPublished - Nov 1989
EventImages of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 - Seattle, WA, USA
Duration: Nov 9 1989Nov 12 1989

Other

OtherImages of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1
CitySeattle, WA, USA
Period11/9/8911/12/89

ASJC Scopus subject areas

  • Bioengineering

Fingerprint Dive into the research topics of 'Soundmyogram: Time and frequency domain analysis'. Together they form a unique fingerprint.

Cite this