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 rat...
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ump-246452019-04-15T02:05:26Z http://umpir.ump.edu.my/id/eprint/24645/ Bio-Physiological Indicators in Evaluating Archery Performance Rabiu Muazu, Musa Zahari, Taha Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah TJ Mechanical engineering and machinery 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. Springer 2019 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24645/1/4.%20Bio-physiological%20indicators%20in%20evaluating%20archery%20performance.pdf pdf en http://umpir.ump.edu.my/id/eprint/24645/2/4.1%20Bio-physiological%20indicators%20in%20evaluating%20archery%20performance.pdf Rabiu Muazu, Musa and Zahari, Taha and Anwar, P. P. Abdul Majeed and Mohamad Razali, Abdullah (2019) Bio-Physiological Indicators in Evaluating Archery Performance. In: Machine Learning in Sports. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 13-20. ISBN 978-981-13-2592-2 https://doi.org/10.1007/978-981-13-2592-2_2 https://doi.org/10.1007/978-981-13-2592-2_2 |
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Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
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Online Access |
language |
English English |
topic |
TJ Mechanical engineering and machinery |
spellingShingle |
TJ Mechanical engineering and machinery Rabiu Muazu, Musa Zahari, Taha Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Bio-Physiological Indicators in Evaluating Archery Performance |
description |
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. |
format |
Book Section |
author |
Rabiu Muazu, Musa Zahari, Taha Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah |
author_facet |
Rabiu Muazu, Musa Zahari, Taha Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah |
author_sort |
Rabiu Muazu, Musa |
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 |
publisher |
Springer |
publishDate |
2019 |
url |
http://umpir.ump.edu.my/id/eprint/24645/ http://umpir.ump.edu.my/id/eprint/24645/ http://umpir.ump.edu.my/id/eprint/24645/ http://umpir.ump.edu.my/id/eprint/24645/1/4.%20Bio-physiological%20indicators%20in%20evaluating%20archery%20performance.pdf http://umpir.ump.edu.my/id/eprint/24645/2/4.1%20Bio-physiological%20indicators%20in%20evaluating%20archery%20performance.pdf |
first_indexed |
2023-09-18T22:37:25Z |
last_indexed |
2023-09-18T22:37:25Z |
_version_ |
1777416688585670656 |