Multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise

One of the current interests of exercise physiologists is to understand the nature and control of fatigue related to physical activity to optimise athletic performance. Therefore, this research focuses on the mathematical modelling and analysis of the energy system pathways and the system control me...

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Main Author: Chuckravanen, Dineshen
Other Authors: St Clair Gibson, Alan
Published: Northumbria University 2012
Subjects:
612
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555580
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5555802015-03-20T04:47:27ZMultiple system modelling and analysis of physiological and brain activity and performance at rest and during exerciseChuckravanen, DineshenSt Clair Gibson, Alan2012One of the current interests of exercise physiologists is to understand the nature and control of fatigue related to physical activity to optimise athletic performance. Therefore, this research focuses on the mathematical modelling and analysis of the energy system pathways and the system control mechanisms to investigate the various human metabolic processes involved both at rest and during exercise. The first case study showed that the PCr utilisation was the highest energy contributor during sprint running, and the rate of ATP production for each anaerobic subsystem was similar for each athlete. The second study showed that the energy expenditure derived from the aerobic and anaerobic processes for different types of pacing were significantly different. The third study demonstrated the presence of the control mechanisms, and their characteristics as well as complexity differed significantly for any physiological organ system. The fourth study showed that the control mechanisms manifest themselves in specific ranges of frequency bands, and these influence athletic performance. The final study demonstrated a significant difference in both reaction time and accuracy of the responses to visual cues between the control and exercise-involved cognitive trials. Moreover, the difference in the EEG power ratio at specific regions of the brain; the difference in the ERP components’ amplitudes and latencies; and the difference in entropy of the EEG signals represented the physiological factors in explaining the poor cognitive performance of the participants following an exhaustive exercise bout. Therefore, by using mathematical modelling and analysis of the energy system pathways and the system control mechanisms responsible for homeostasis, this research has expanded the knowledge how performance is regulated during physical activity and together with the support of the existing biological control theories to explain the development of fatigue during physical activity.612C600 Sports ScienceNorthumbria Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555580http://nrl.northumbria.ac.uk/8435/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 612
C600 Sports Science
spellingShingle 612
C600 Sports Science
Chuckravanen, Dineshen
Multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise
description One of the current interests of exercise physiologists is to understand the nature and control of fatigue related to physical activity to optimise athletic performance. Therefore, this research focuses on the mathematical modelling and analysis of the energy system pathways and the system control mechanisms to investigate the various human metabolic processes involved both at rest and during exercise. The first case study showed that the PCr utilisation was the highest energy contributor during sprint running, and the rate of ATP production for each anaerobic subsystem was similar for each athlete. The second study showed that the energy expenditure derived from the aerobic and anaerobic processes for different types of pacing were significantly different. The third study demonstrated the presence of the control mechanisms, and their characteristics as well as complexity differed significantly for any physiological organ system. The fourth study showed that the control mechanisms manifest themselves in specific ranges of frequency bands, and these influence athletic performance. The final study demonstrated a significant difference in both reaction time and accuracy of the responses to visual cues between the control and exercise-involved cognitive trials. Moreover, the difference in the EEG power ratio at specific regions of the brain; the difference in the ERP components’ amplitudes and latencies; and the difference in entropy of the EEG signals represented the physiological factors in explaining the poor cognitive performance of the participants following an exhaustive exercise bout. Therefore, by using mathematical modelling and analysis of the energy system pathways and the system control mechanisms responsible for homeostasis, this research has expanded the knowledge how performance is regulated during physical activity and together with the support of the existing biological control theories to explain the development of fatigue during physical activity.
author2 St Clair Gibson, Alan
author_facet St Clair Gibson, Alan
Chuckravanen, Dineshen
author Chuckravanen, Dineshen
author_sort Chuckravanen, Dineshen
title Multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise
title_short Multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise
title_full Multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise
title_fullStr Multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise
title_full_unstemmed Multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise
title_sort multiple system modelling and analysis of physiological and brain activity and performance at rest and during exercise
publisher Northumbria University
publishDate 2012
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555580
work_keys_str_mv AT chuckravanendineshen multiplesystemmodellingandanalysisofphysiologicalandbrainactivityandperformanceatrestandduringexercise
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