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Early Detection of Fatigue Based on Heart Rate in Sedentary Computer Work in Young and Old Adults

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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 826))

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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.

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Acknowledgments

This project was funded by the Veluxfonden (project number: 00010912).

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Authors and Affiliations

  1. Department of Health Science and Technology, Sport Sciences, Aalborg University, 9220, Aalborg, Denmark

    Ramtin Zargari Marandi, Pascal Madeleine, Nicolas Vuillerme & Afshin Samani

  2. University Grenoble Alpes, AGEIS, 38000, Grenoble, France

    Ramtin Zargari Marandi & Nicolas Vuillerme

  3. Institut Universitaire de France, 75231, Paris, France

    Nicolas Vuillerme

  4. Aalborg University Hospital, Clinic of Occupational Medicine, Danish Ramazzini Center, 9000, Aalborg, Denmark

    Øyvind Omland

Authors
  1. Ramtin Zargari Marandi
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  2. Pascal Madeleine
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  3. Nicolas Vuillerme
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  4. Øyvind Omland
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  5. Afshin Samani
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Corresponding author

Correspondence to Ramtin Zargari Marandi .

Editor information

Editors and Affiliations

  1. University of the Republic of San Marino, San Marino, San Marino

    Sebastiano Bagnara

  2. Centre for Clinical Risk Management and Patient Safety, Tuscany Region, Florence, Italy

    Riccardo Tartaglia

  3. Centre for Clinical Risk Management and Patient Safety, Tuscany Region, Florence, Italy

    Sara Albolino

  4. Fraunhofer FKIE, Bonn, Nordrhein-Westfalen, Germany

    Thomas Alexander

  5. International Ergonomics Association, Tokyo, Japan

    Yushi Fujita

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Marandi, R.Z., Madeleine, P., Vuillerme, N., Omland, Ø., Samani, A. (2019). Early Detection of Fatigue Based on Heart Rate in Sedentary Computer Work in Young and Old Adults. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 826. Springer, Cham. https://doi.org/10.1007/978-3-319-96065-4_14

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