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

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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Bibliographic Details
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/
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Institution: Universiti Malaysia Pahang
Language: English
English

Internet

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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