Physical fatigue prediction based on heart rate variability (HRV) features in time and frequency domains using artificial neural networks model during exercise

• Main Authors: Zulkifli, Ahmad@Manap, Mohd Najeb, Jamaludin, Ummu Kulthum, Jamaludin
• Format: Conference or Workshop Item
• Language: English; English
• Published: Universiti Malaysia Pahang 2019
• Subjects: TJ Mechanical engineering and machinery; TS Manufactures
• 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/

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...