Key result
Different pacing strategies exhibit distinct complexity in physiological system control mechanisms, with the central controller utilizing specific frequency bands simultaneously to regulate physical activity.
Why the study?
Based on mathematical models, this investigation explores the complex relationship between mechanisms controlling physical activity and behaviour to analyze system control mechanisms during pacing exercise.
Observational (n=1)
No
Mathematical modeling of physiological signals during exercise demonstrates that the central nervous system uses specific frequency bands to regulate and communicate with different physiological systems, which exhibit distinct levels of complexity.
May inform adaptive pacing device design; hypothesis-generating for frequency-band interventions, requiring clinical validation.
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.
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Angelova et al. (2019) conducted an observational in Healthy (n=1). Pacing strategies (self-paced, even-paced, variable-paced) vs. Within-subject comparison was evaluated on Complexity of physiological activities (fractal dimension and frequency band powers). Different pacing strategies exhibit distinct complexity in physiological system control mechanisms, with the central controller utilizing specific frequency bands simultaneously to regulate physical activity.
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