会议论文详细信息
Joint Conference on Green Engineering Technology & Applied Computing 2019
AI for Heart Rate Measurements for Sport Performance: A review
工业技术(总论);计算机科学
Zarith Rahmah Syed Ahmad, Sharifah^1 ; Yusoff, Yusliza^1 ; Mohd Zain, Azlan^1 ; Samsudin, Ruhaidah^1 ; Effiyana Ghazali, Nurzal^2
School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia^1
School of Electrical, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia^2
关键词: Cardiovascular mortality;    Heart rate analysis;    Heart rates;    Human heart;    Performance benefits;    Sport performance;    Sports performance;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/551/1/012041/pdf
DOI  :  10.1088/1757-899X/551/1/012041
来源: IOP
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【 摘 要 】

Increasing sport performance in athletic has been a major task for coaches around the world. The ability to improve athletes' performance benefits not only the coaches but to the athletes themselves. Heart rate analysis for sport performance has been investigated for many years. Heart rate plays an important role to measure the athletes' ability to perform in sports of their choices. The heart rate information will not only aid in training the athletes according to personal abilities but it will also assist in monitoring athletes' health by reducing the chances of cardiovascular mortality risk. This paper briefly outlines the potential of Artificial Intelligence (AI) in learning information contain in human heart rate measurement for improving the athlete's sports performance.

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