Early detection of fatigue based on heart rate in sedentary computer work in young and old adults

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Given the growing number of working elderly, monitoring fatigue developing at work is of utmost importance. In this study, 38 participants (18 elderly and 20 young adults) were recruited to perform a prolonged computer task including 240 cycles while their heart rate was measured. In each cycle, the participants memorized a random pattern of connected points then replicated the pattern by clicking on a sequence of points to complete an incomplete version of the pattern. Task performance in each cycle was calculated based on the accuracy and speed in clicking. After each 20 cycles (one segment), participant rated their perceived fatigue on Karolinska Sleepiness Likert scale (KSS). The mean and range of heart rate, HRM and HRR respectively, in each cycle were calculated and together with the performance were averaged across each segment. Statistical analysis revealed that HRR followed an increasing trend in both young and elderly groups as time on task (TOT) increased, p < 0.001. The HRM exhibited a tendency to increase with TOT in both groups, p = 0.063. The performance increased in the elderly group and fluctuated in the young group, p < 0.001. The KSS increased in both groups with TOT, p < 0.001. No interactions between TOT segments and groups were found in any of the measures except in case of performance indicating a higher performance for the young group with a fluctuating temporal pattern. The results provide insights on the feasibility of using heart rate as an index to monitor fatigue in both young and elderly computer users.

Close

Details

Given the growing number of working elderly, monitoring fatigue developing at work is of utmost importance. In this study, 38 participants (18 elderly and 20 young adults) were recruited to perform a prolonged computer task including 240 cycles while their heart rate was measured. In each cycle, the participants memorized a random pattern of connected points then replicated the pattern by clicking on a sequence of points to complete an incomplete version of the pattern. Task performance in each cycle was calculated based on the accuracy and speed in clicking. After each 20 cycles (one segment), participant rated their perceived fatigue on Karolinska Sleepiness Likert scale (KSS). The mean and range of heart rate, HRM and HRR respectively, in each cycle were calculated and together with the performance were averaged across each segment. Statistical analysis revealed that HRR followed an increasing trend in both young and elderly groups as time on task (TOT) increased, p < 0.001. The HRM exhibited a tendency to increase with TOT in both groups, p = 0.063. The performance increased in the elderly group and fluctuated in the young group, p < 0.001. The KSS increased in both groups with TOT, p < 0.001. No interactions between TOT segments and groups were found in any of the measures except in case of performance indicating a higher performance for the young group with a fluctuating temporal pattern. The results provide insights on the feasibility of using heart rate as an index to monitor fatigue in both young and elderly computer users.

Original languageEnglish
Title of host publicationProceedings of the 20th Congress of the International Ergonomics Association, IEA 2018 : Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments
EditorsSebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Yushi Fujita, Thomas Alexander
Number of pages8
PublisherSpringer
Publication date2019
Pages104-111
ISBN (Print)978-3-319-96064-7
ISBN (Electronic)978-3-319-96065-4
DOI
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes
Event20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy
Duration: 26 Aug 201830 Aug 2018

Conference

Conference20th Congress of the International Ergonomics Association, IEA 2018
LandItaly
ByFlorence
Periode26/08/201830/08/2018
SeriesAdvances in Intelligent Systems and Computing
Volume826
ISSN2194-5357

    Research areas

  • Aging, Fatigue, Heart rate variability
ID: 284132525