Physical fatigue prediction based on heart rate variability (HRV) features in time and frequency domains using artificial neural networks model during exercise
Awareness on fatigue level is important for people in order to understand their physiology in daily activities. This situation become more critical when involving physical exercise and reach the maximum threshold fatigue which can lead to injury. Additionally, sedentary people become the most group...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Universiti Malaysia Pahang
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27599/1/12.%20Physical%20fatigue%20prediction%20based%20on%20heart%20rate%20variability.pdf http://umpir.ump.edu.my/id/eprint/27599/2/12.1%20Physical%20fatigue%20prediction%20based%20on%20heart%20rate%20variability.pdf http://umpir.ump.edu.my/id/eprint/27599/ |
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