Openly accessible

Physical fatigue detection using entropy analysis of heart rate signals

Nasirzadeh, Farnad, Mir, Mostafa, Hussain, Sadiq, Darbandy, Mohammad Tayarani, Khosravi, Abbas, Nahavandi, Saeid and Aisbett, Brad 2020, Physical fatigue detection using entropy analysis of heart rate signals, Sustainability, vol. 12, no. 7, pp. 1-17, doi: 10.3390/su12072714.

Attached Files
Name Description MIMEType Size Downloads

Title Physical fatigue detection using entropy analysis of heart rate signals
Author(s) Nasirzadeh, FarnadORCID iD for Nasirzadeh, Farnad orcid.org/0000-0003-0101-6322
Mir, Mostafa
Hussain, Sadiq
Darbandy, Mohammad Tayarani
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Aisbett, BradORCID iD for Aisbett, Brad orcid.org/0000-0001-8077-0272
Journal name Sustainability
Volume number 12
Issue number 7
Article ID 2714
Start page 1
End page 17
Total pages 17
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2020
ISSN 2071-1050
Keyword(s) fatigue
heart rate
signal processing
entropy
statistical measures
classification algorithms
Summary Physical fatigue is one of the most important and highly prevalent occupational hazards in different industries. This research adopts a new analytical framework to detect workers' physical fatigue using heart rate measurements. First, desired features are extracted from the heart signals using different entropies and statistical measures. Then, a feature selection method is used to rank features according to their role in classification. Finally, using some of the frequently used classification algorithms, physical fatigue is detected. The experimental results show that the proposed method has excellent performance in recognizing the physical fatigue. The achieved accuracy, sensitivity, and specificity rates for fatigue detection are 90.36%, 82.26%, and 96.2%, respectively. The proposed method provides an efficient tool for accurate and real-time monitoring of physical fatigue and aids to enhance workers' safety and prevent accidents. It can be useful to develop warning systems against high levels of physical fatigue and design better resting times to improve workers' safety. This research ultimately aids to improve social sustainability through minimizing work accidents and injuries arising from fatigue.
Language eng
DOI 10.3390/su12072714
Indigenous content off
Field of Research 12 Built Environment and Design
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30136370

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 68 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 28 Apr 2020, 22:27:23 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.