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

Fingerprint

Frequency domain analysis
Time domain analysis
Contact sensors
Fast Fourier transforms
Entropy
Chemical activation
Fatigue of materials

ASJC Scopus subject areas

  • Bioengineering

Cite this

Orizio, C., Perini, R., & Veicsteinas, A. (1989). Soundmyogram: Time and frequency domain analysis. In Y. Kim, & F. A. Spelman (Eds.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 11 pt 3, pp. 1036-1038). Publ by Alliance for Engineering in Medicine & Biology.

Soundmyogram : Time and frequency domain analysis. / Orizio, Claudio; Perini, Renza; Veicsteinas, Arsenio.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. ed. / Yongmin Kim; Francis A. Spelman. Vol. 11 pt 3 Publ by Alliance for Engineering in Medicine & Biology, 1989. p. 1036-1038.

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

Orizio, C, Perini, R & Veicsteinas, A 1989, Soundmyogram: Time and frequency domain analysis. in Y Kim & FA Spelman (eds), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 11 pt 3, Publ by Alliance for Engineering in Medicine & Biology, pp. 1036-1038, Images 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, 11/9/89.
Orizio C, Perini R, Veicsteinas A. Soundmyogram: Time and frequency domain analysis. In Kim Y, Spelman FA, editors, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 11 pt 3. Publ by Alliance for Engineering in Medicine & Biology. 1989. p. 1036-1038
Orizio, Claudio ; Perini, Renza ; Veicsteinas, Arsenio. / Soundmyogram : Time and frequency domain analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. editor / Yongmin Kim ; Francis A. Spelman. Vol. 11 pt 3 Publ by Alliance for Engineering in Medicine & Biology, 1989. pp. 1036-1038
@inproceedings{0612bbd37f7b4351a4bd398f0b1a8994,
title = "Soundmyogram: Time and frequency domain analysis",
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.",
author = "Claudio Orizio and Renza Perini and Arsenio Veicsteinas",
year = "1989",
month = "11",
language = "English",
volume = "11 pt 3",
pages = "1036--1038",
editor = "Yongmin Kim and Spelman, {Francis A.}",
booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
publisher = "Publ by Alliance for Engineering in Medicine & Biology",

}

TY - GEN

T1 - Soundmyogram

T2 - Time and frequency domain analysis

AU - Orizio, Claudio

AU - Perini, Renza

AU - Veicsteinas, Arsenio

PY - 1989/11

Y1 - 1989/11

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0024765867&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024765867&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0024765867

VL - 11 pt 3

SP - 1036

EP - 1038

BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

A2 - Kim, Yongmin

A2 - Spelman, Francis A.

PB - Publ by Alliance for Engineering in Medicine & Biology

ER -