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International Conference on Intelligent Decision Technologies

IDT 2017: Intelligent Decision Technologies pp 89–99Cite as

A Rule Based Framework for Smart Training Using sEMG Signal

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 39))

Abstract

The correctness of the training during sport and fitness activities involving repetitive movements is often related to the capability of maintaining the required cadence and muscular force. Muscle fatigue may induce a failure in maintaining the needed force, and can be detected by a shift towards lower frequencies in the surface electromyography (sEMG) signal. The exercise repetition frequency and the evaluation of muscular fatigue can be simultaneously obtained by using just the sEMG signal through the application of a two-component AM-FM model based on the Hilbert transform. These two features can be used as inputs of an intelligent decision making system based on fuzzy rules for optimizing the training strategy. As an application example this system was set up using signals recorded with a wireless electromyograph applied to several healthy subjects performing dumbbell biceps curls.

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Authors and Affiliations

  1. DII – Dipartimento di Ingegneria Dell’Informazione, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131, Ancona, Italy

    Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simone Orcioni & Claudio Turchetti

Authors
  1. Giorgio Biagetti
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  2. Paolo Crippa
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  3. Laura Falaschetti
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  4. Simone Orcioni
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  5. Claudio Turchetti
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Corresponding author

Correspondence to Paolo Crippa .

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Editors and Affiliations

  1. FCT, Universidade Nova de Lisboa, Caparica, Portugal

    Rui Neves-Silva

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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Biagetti, G., Crippa, P., Falaschetti, L., Orcioni, S., Turchetti, C. (2015). A Rule Based Framework for Smart Training Using sEMG Signal. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-19857-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19856-9

  • Online ISBN: 978-3-319-19857-6

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