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Bio-Physiological Indicators in Evaluating Archery Performance

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Machine Learning in Sports

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

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.

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Correspondence to Rabiu Muazu Musa .

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© 2019 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Muazu Musa, R., Taha, Z., P. P. Abdul Majeed, A., Abdullah, M.R. (2019). Bio-Physiological Indicators in Evaluating Archery Performance. In: Machine Learning in Sports. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-2592-2_2

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