Bio-physiological indicators in evaluating archery performance
The present chapter measured the association of archery performance in relation to bio-physiological indicators, namely calories intake, resting respiration, heart rate, systolic as well as diastolic blood. It was established from the investigation that a high calorie intake, resting respiratory r...
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my-unisza-ir.41732022-01-10T08:01:32Z http://eprints.unisza.edu.my/4173/ Bio-physiological indicators in evaluating archery performance Abdullah, Prof. Madya Dr. Mohamad Razali Q Science (General) The present chapter measured the association of archery performance in relation to bio-physiological indicators, namely calories intake, resting respiration, heart rate, systolic as well as diastolic blood. It was established from the investigation that a high calorie intake, resting respiratory rate and a lower level of heart rate in conjunction with lower blood pressure are positively linked with a higher archery shooting score. Moreover, it is shown from the present investigation that the LR model could provide a good prediction of LPA and HPA based on the performance indicators examined. © 2019, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd Springer Verlag 2019 Book Section NonPeerReviewed text en http://eprints.unisza.edu.my/4173/1/FH05-ESERI-19-35586.pdf Abdullah, Prof. Madya Dr. Mohamad Razali (2019) Bio-physiological indicators in evaluating archery performance. In: SpringerBriefs in Applied Sciences and Technology. Springer Verlag, Germany, pp. 13-20. ISBN 2191530X |
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The present chapter measured the association of archery performance in relation to bio-physiological indicators,
namely calories intake, resting respiration, heart rate, systolic as well as diastolic blood. It was established from the
investigation that a high calorie intake, resting respiratory rate and a lower level of heart rate in conjunction with lower
blood pressure are positively linked with a higher archery shooting score. Moreover, it is shown from the present
investigation that the LR model could provide a good prediction of LPA and HPA based on the performance indicators
examined. © 2019, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd |
format |
Book Section |
author |
Abdullah, Prof. Madya Dr. Mohamad Razali |
author_facet |
Abdullah, Prof. Madya Dr. Mohamad Razali |
author_sort |
Abdullah, Prof. Madya Dr. Mohamad Razali |
title |
Bio-physiological indicators in evaluating archery performance |
title_short |
Bio-physiological indicators in evaluating archery performance |
title_full |
Bio-physiological indicators in evaluating archery performance |
title_fullStr |
Bio-physiological indicators in evaluating archery performance |
title_full_unstemmed |
Bio-physiological indicators in evaluating archery performance |
title_sort |
bio-physiological indicators in evaluating archery performance |
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Springer Verlag |
publishDate |
2019 |
url |
http://eprints.unisza.edu.my/4173/1/FH05-ESERI-19-35586.pdf http://eprints.unisza.edu.my/4173/ |
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