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Considerations on the application of the chaos paradigm to describe the postural sway

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  • Pascolo, Paolo
  • Barazza, Fausto
  • Carniel, Roberto

Abstract

Time-series of statokinesigram (SKG) of healthy subjects and parkinsonians are investigated and compared. This is done by employing the chaos paradigm in order to obtain the main characteristics of the SKG. The interpretation of our findings is twofold:when a proper Theiler window is not used we find a virtual invariance of the chaos parameters when healthy subjects and parkinsonians are compared but a discrepancy of our values (correlation dimension equals to 1.4) with those found in previous works;when a proper Theiler window is used (more) appropriately, the SKGs do not show a convergence of the fractal dimension estimates; therefore nothing can be said in terms of chaoticity of system.

Suggested Citation

  • Pascolo, Paolo & Barazza, Fausto & Carniel, Roberto, 2006. "Considerations on the application of the chaos paradigm to describe the postural sway," Chaos, Solitons & Fractals, Elsevier, vol. 27(5), pages 1339-1346.
    • Handle: RePEc:eee:chsofr:v:27:y:2006:i:5:p:1339-1346
    DOI: 10.1016/j.chaos.2005.04.111
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    References listed on IDEAS

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    1. Pascolo, Paolo B. & Marini, Alfio & Carniel, Roberto & Barazza, Fausto, 2005. "Posture as a chaotic system and an application to the Parkinson’s disease," Chaos, Solitons & Fractals, Elsevier, vol. 24(5), pages 1343-1346.
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    Cited by:

    1. Carniel, Roberto, 2008. "Diagnosing faults and illnesses with a quasi-time-invariant filter transfer function model," Chaos, Solitons & Fractals, Elsevier, vol. 35(1), pages 199-201.
    2. Bueno-Orovio, Alfonso & Pérez-García, Víctor M., 2007. "Enhanced box and prism assisted algorithms for computing the correlation dimension," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 509-518.

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