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Investigation of Complexity and regulatory role of physiological activities during a pacing exercise

  • Maia Angelova
  • , Sergiy Shelyag
  • , Sutharshan Rajasegarar
  • , Dineshen Chuckravanen
  • , Sujan Rajbhandari
  • , Paul B Gastin
  • , Alan St Clair Gibson
    • Deakin University
    • Aberystwyth University, Mauritius Branch Campus
    • La Trobe University
    • University of Essex

    Research output: Contribution to journalArticlepeer-review

    192 Downloads (Pure)

    Abstract

    Existing physiological control fatigue models propose that there may be a regulator in the central nervous system which modulates our daily physical activity. Within limits, this regulator ensures physical activity is completed without physiological system failure through interactive communications between the peripheral systems and the central systems. The ability of the central nervous system to regulate exercise is vital to optimise sport performance when severe intensity exercise might be required for prolonged or frequent periods. Based on mathematical models, this investigation explores the complex relationship between some of the mechanisms controlling physical activity and behaviour. In order to analyse the system control mechanisms, heart rate, volume of oxygen consumption and power output were measured for a well-trained male cyclist. Using power spectrum analysis, fractal analysis and continuous wavelet transforms, we show that the system control mechanisms regulating physiological systems, have distinct complexity. Moreover, the potential central controller uses specific frequency bands simultaneously to control and communicate with the various physiological systems.We show that pacing trials are regulated by different physiological systems.
    Original languageEnglish
    Pages (from-to)152334 - 152346
    Number of pages13
    JournalIEEE Access
    Volume7
    DOIs
    Publication statusPublished - 17 Oct 2019

    Bibliographical note

    This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/

    Keywords

    • Pacing
    • Fractal analysis
    • Wavelet analysis
    • Complexity
    • Exercise dynamics

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