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May Angular Variation Be a Parameter for Muscular Condition Classification in SCI People Elicited by Neuromuscular Electrical Stimulation?

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

People with complete spinal cord injury (SCI) present a rapid process of muscle fatigue under neuromuscular electrical stimulation (NMES) due to neuromuscular impairment. Different NMES patterns interfere with the fatigue process and joint amplitude. The aim of this study was to evaluate muscle reactions using joint knee joint fatigue protocol with four NMES patterns in people with complete SCI. Ten subjects with complete SCI were submitted to 4 stimulatory profiles, with varying pulse duration and the modulating frequency (burst): P1 (100 μs–50 Hz); P2 (100 μs–70 Hz); P3 (200 μs–50 Hz); P4 (200 μs–70 Hz). Subjects were classified according to theirselves angular responses as upper median (UPmed) and lower median (LOWmed). UPmed had lower angular variation and attenuation in the fatigue process than LOWmed in P1 (session I, trial 1 p = 0.06, trial 2 p = 0.009, trial 3 p = 0.029, session II, trial 1 p = 0.015), P2 (session I, trial 3 p = 0.024, trial 4 p = 0.034), P3 (session I, trial 3 p = 0.035), P4 without intergroup difference. The angular variation can be applied as a useful tool for muscular condition classification of complete SCI people. The best performance of UPmed has occurred in P1 and the worst in P4. The LOWmed performance did not stand out in any protocol.

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Acknowledgements

We would like to thank CAPES and CNPq for important funding and financial support.

Conflict of Interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Pontifical Catholic University of Paraná/Graduate Program On Health Technology, Curitiba, PR, Brazil

    C. D. P. Rinaldin, C. Papcke & E. M. Scheeren

  2. State University of Londrina/Anatomy Department, Neural Engineering and Rehabilitation Laboratory, Londrina, PR, Brazil

    E. Krueger

  3. Federal Technological University of Paraná/Rehabilitation Engineering Laboratory, Curitiba, PR, Brazil

    P. Nohama

  4. Rehabilitation Engineering Laboratory, Pontifical Catholic University of Paraná/Graduate Program on Health Technology, Curitiba, PR, Brazil

    G. N. Nogueira-Neto & P. Nohama

Authors
  1. C. D. P. Rinaldin
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  2. C. Papcke
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  3. E. Krueger
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  4. G. N. Nogueira-Neto
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  5. P. Nohama
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  6. E. M. Scheeren
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Rinaldin, C.D.P., Papcke, C., Krueger, E., Nogueira-Neto, G.N., Nohama, P., Scheeren, E.M. (2022). May Angular Variation Be a Parameter for Muscular Condition Classification in SCI People Elicited by Neuromuscular Electrical Stimulation?. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_85

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_85

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

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