loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Eddy Krueger 1 ; Eduardo M. Scheeren 2 ; Guilherme N. Nogueira-Neto 2 ; Agnelo Denis Vieira 2 and Percy Nohama 1

Affiliations: 1 Universidade Tecnológica Federal do Paraná, Brazil ; 2 Pontifícia Universidade Católica do Paraná, Brazil

Keyword(s): Mechanomyography, Fatigue, Functional Electrical Stimulation, Spinal Cord Injury, Cauchy Wavelet.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Wavelet Transform

Abstract: The purpose of this study is the evaluation of mechanomyographic (MMG) time-frequency response of rectus femoris muscle of a paraplegic subject during an isometric electrically-elapsed fatigue protocol. An accelerometer sensor was used to measure the vibration of muscle during voltage-controlled functional electrical stimulation application at 1 kHz pulse frequency (20% duty cycle) 70 Hz modulated frequency (20% duty cycle). A load cell (50 kgf) measured the force signal with the participant seated on a bench with the hip and knee angle set to 90º. During the protocol the electrical output voltage was adjusted to keep the force at 30% of maximal stimulated contraction (MSC). When the electrical stimulation was unable to keep the force above approximately 10% of MSC the protocol was ceased. Ten seconds with unfatigued (initial period) and fatigued (final period) muscle, MMG signal was processed with Cauchy wavelet transformation (bandpass 5-100 Hz). For fatigue conditions of paraplegi c subject, MMG signal presents concentration energy to lower frequencies mainly to 11.31 Hz band frequency. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.92.165

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Krueger, E.; M. Scheeren, E.; N. Nogueira-Neto, G.; Denis Vieira, A. and Nohama, P. (2014). The Rectus Femoris Muscle Fatigue through Mechanomyographic Time-Frequency Response in Paraplegic Subject - Preliminary Results. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2014) - BIOSIGNALS; ISBN 978-989-758-011-6; ISSN 2184-4305, SciTePress, pages 239-243. DOI: 10.5220/0004804102390243

@conference{biosignals14,
author={Eddy Krueger. and Eduardo {M. Scheeren}. and Guilherme {N. Nogueira{-}Neto}. and Agnelo {Denis Vieira}. and Percy Nohama.},
title={The Rectus Femoris Muscle Fatigue through Mechanomyographic Time-Frequency Response in Paraplegic Subject - Preliminary Results},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2014) - BIOSIGNALS},
year={2014},
pages={239-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004804102390243},
isbn={978-989-758-011-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2014) - BIOSIGNALS
TI - The Rectus Femoris Muscle Fatigue through Mechanomyographic Time-Frequency Response in Paraplegic Subject - Preliminary Results
SN - 978-989-758-011-6
IS - 2184-4305
AU - Krueger, E.
AU - M. Scheeren, E.
AU - N. Nogueira-Neto, G.
AU - Denis Vieira, A.
AU - Nohama, P.
PY - 2014
SP - 239
EP - 243
DO - 10.5220/0004804102390243
PB - SciTePress