NDLI: Syncronicity relationship between the mechanomyography peak energy frequency and the maximum electrically evoked contraction in paraplegics

Content Provider	IEEE Xplore Digital Library
Author	Krueger, E. Scheeren, E.M. Nogueira-Neto, G.N. Nohama, P.
Copyright Year	2014
Description	Author affiliation: Pontificia Univ. Catolica do Parana, Curitiba, Brazil (Nogueira-Neto, G.N.) \|\| PPGTS, Pontificia Univ. Catolica do Parana, Curitiba, Brazil (Scheeren, E.M.) \|\| CPGEI, Univ. Tecnol. Fed. do Parana (UTFPR), Curitiba, Brazil (Krueger, E.; Nohama, P.)
Abstract	The goal of this paper is to investigate the temporal-spectral decomposition content during a maximal electrically evoked contraction (MEEC) in two spinal cord injured participants using triaxial mechanomyography (MMG). Two male spinal cord injured volunteers performed the tests both injured at T7 neurologic level. The triaxial MMG signal of rectus femoris muscle was processed with Cauchy wavelet transform adjusted to third-order 5-50 Hz bandpass Butterworth filter. A custom electrical stimulator voltage-controlled was configured: pulse frequency set to 1 kHz (20% duty cycle) and burst (modulating) frequency set to 70 Hz (20% active period). The MEEC force was performed by increasing the electrical stimulating magnitude (~3 V/s to avoid motoneuron adaptation/habituation) until the force started to level off. We conclude that the peak energy of MMG signal frequency did not occur simultaneously with the maximal electrically evoked contraction to rectus femoris muscle. Moreover, the vibration vector of muscle, expressed in three axes (X, Y and Z), presented different fired frequencies, mainly between X (transverse) and Z (perpendicular) axis, where the frequencies fired by Z axis were greater.
Starting Page	809
Ending Page	812
File Size	696443
Page Count	4
File Format	PDF
ISBN	9781479931262
ISSN	21551774
e-ISBN	9781479931286
DOI	10.1109/BIOROB.2014.6913878
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-12
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vibrations Spinal cord Frequency modulation Image color analysis Force Muscles Electromyography
Content Type	Text
Resource Type	Article

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