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 language | English |
|---|---|
| Article number | 8873548 |
| Pages (from-to) | 152334-152346 |
| Number of pages | 13 |
| Journal | IEEE Access |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 30 Oct 2019 |
Bibliographical note
Publisher Copyright:© 2013 IEEE.
Funding
D. Chuckravanen and A. St Clair Gibson were with the Department of Sport Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, U.K. M. Angelova and S. Rajbhandari were with the Department of Mathematics, Physics and Electrical Eng., Northumbria University, Newcastle upon Tyne NE1 8ST, U.K. The authors would like to thank all the sports science research colleagues who made this research study possible in terms of availability of physiological equipment or help in physiological data collection. DC thanks Northumbria University for the PhD Fellowship. MA acknowledges the partial support of the European FP7 project 247541 MATSIQEL, Marie Curie Actions-IRSES. DC, MA and ZSCG thank K. G. Thompson for valuable discussions of pacing strategies for cyclists. This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government. This work was supported by the MASSIVE HPC facility (www.massive.org.au). The authors thank Chandan Kar-makar for the clarifications of CWT time-frequency analysis and Ye Zhu for the technical help in preparing the manuscript. This research study was approved by the Ethical Committee of the School of Sports Science and Psychology at Northumbria University to pursue studies on human subjects and researchers adhered to risk assessments before conducting this research study.
| Funders | Funder number |
|---|---|
| Department of Accounting & Financial Management, Northumbria University | |
| National Computational Infrastructure | |
| Seventh Framework Programme | 247541 |
| Australian Government |
Keywords
- complexity
- exercise dynamics
- fractal analysis
- Pacing
- wavelet analysis
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