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Linear correlation between fractal dimension of surface EMG signal from Rectus Femoris and height of vertical jump

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  • Ancillao, Andrea
  • Galli, Manuela
  • Rigoldi, Chiara
  • Albertini, Giorgio

Abstract

Fractal dimension was demonstrated to be able to characterize the complexity of biological signals. The EMG time series are well known to have a complex behavior and some other studies already tried to characterize these signals by their fractal dimension.

Suggested Citation

  • Ancillao, Andrea & Galli, Manuela & Rigoldi, Chiara & Albertini, Giorgio, 2014. "Linear correlation between fractal dimension of surface EMG signal from Rectus Femoris and height of vertical jump," Chaos, Solitons & Fractals, Elsevier, vol. 66(C), pages 120-126.
    • Handle: RePEc:eee:chsofr:v:66:y:2014:i:c:p:120-126
    DOI: 10.1016/j.chaos.2014.06.004
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    References listed on IDEAS

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    1. Allegrini, Paolo & Paradisi, Paolo & Menicucci, Danilo & Laurino, Marco & Bedini, Remo & Piarulli, Andrea & Gemignani, Angelo, 2013. "Sleep unconsciousness and breakdown of serial critical intermittency: New vistas on the global workspace," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 32-43.
    2. Aurora Espinoza-Valdez & Francisco C. Ordaz-Salazar & Edgardo Ugalde & Ricardo Femat, 2013. "Analysis of a Model for the Morphological Structure of Renal Arterial Tree: Fractal Structure," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-6, July.
    3. Colangeli, Matteo & Rugiano, Francesco & Pasero, Eros, 2014. "Pattern recognition at different scales: A statistical perspective," Chaos, Solitons & Fractals, Elsevier, vol. 64(C), pages 48-66.
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