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Heart rate variability and accelerometry as classification tools for monitoring perceived stress levels-a pilot study on firefighters

Meina, Michał, Ratajczak, Ewa, Sadowska, Maria, Rykaczewski, Krzysztof, Dreszer, Joanna, Bałaj, Bibianna, Biedugnis, Stanisław, Węgrzyński, Wojciech, Krasuski, Adam·2020·Sensors
DOI 10.3390/s20102834
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Abstract

Chronic stress is the main cause of health problems in high-risk jobs. Wearable sensors can become an ecologically valid method of stress level assessment in real-life applications. We sought to determine a non-invasive technique for objective stress monitoring. Data were collected from firefighters during 24-h shifts using sensor belts equipped with a dry-lead electrocardiograph (ECG) and a three-axial accelerometer. Levels of stress experienced during fire incidents were evaluated via a brief self-assessment questionnaire. Types of physical activity were distinguished basing on accelerometer readings, and heart rate variability (HRV) time series were segmented accordingly into corresponding fragments. Those segments were classified as stress/no-stress conditions. Receiver Operating Characteristic (ROC) analysis showed true positive classification as stress condition for 15% of incidents (while maintaining almost zero False Positive Rate), which parallels the amount of truly stressful incidents reported in the questionnaires. These results show a firm correspondence between the perceived stress level and physiological data. Psychophysiological measurements are reliable indicators of stress even in ecological settings and appear promising for chronic stress monitoring in high-risk jobs, such as firefighting.

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Metadata

Authors
Meina, M., Ratajczak, E., Sadowska, M., Rykaczewski, K., Dreszer, J., Bałaj, B., Biedugnis, S., Węgrzyński, W., & Krasuski, A.
Affiliations
  • Faculty of Physics, Astronomy and Informatics, Department of Applied Informatics, Nicolaus Copernicus University in Toruń, Grudziądzka 5, 87-100 Torun, Poland
  • Faculty of Philosophy and Social Sciences, Institute of Psychology, Nicolaus Copernicus University in Toruń, Podmurna 74, 87-100 Torun, Poland
  • Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, Wileńska 4, 87-100 Torun, Poland
  • Institute of Safety Engineering, The Main School of Fire Service, Słowackiego 52/54, 01-629 Warsaw, Poland
  • Fire Research Department, Building Research Institute (ITB), 00-611 Warsaw, Poland
ORCID
Venue
Sensors
Publisher
MDPI AG
Published
2020-05-16
Volume
20
Issue
10
Pages
2834
ISSN
1424-8220
DOI
10.3390/s20102834
Cited by
32
References
6
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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Meina, M., Ratajczak, E., Sadowska, M., Rykaczewski, K., Dreszer, J., Bałaj, B., Biedugnis, S., Węgrzyński, W., & Krasuski, A. (2020). Heart rate variability and accelerometry as classification tools for monitoring perceived stress levels-a pilot study on firefighters. Sensors. https://doi.org/10.3390/s20102834

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