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Accelerometer-based heart rate adjustment for ambulatory stress research.

Sjors R B van de Ven1, Martin J Gevonden1, Matthijs L Noordzij2

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Psychophysiology
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Summary

This study introduces additional heart rate (aHR) to better measure mental stress by correcting for physical activity. The novel aHR method shows promise for distinguishing stress types in real-world settings.

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Area of Science:

  • Physiology
  • Psychophysiology
  • Biomedical Engineering

Background:

  • Heart rate (HR) monitoring for mental stress detection is challenging due to physical activity interference.
  • Additional heart rate (aHR) aims to isolate psychosocial stress by correcting HR for hemodynamic and metabolic demands.

Purpose of the Study:

  • To evaluate if incorporating posture, activity type, and lagged movement intensity improves aHR estimation.
  • To assess aHR's sensitivity to mental stress, posture, and physical activity manipulations in a controlled setting.

Main Methods:

  • Utilized accelerometer data to determine movement intensity, posture, and activity type in 197 participants.
  • Developed and tested an enhanced aHR model incorporating physical activity predictors.
  • Compared aHR performance against observed HR in differentiating stressor types.

Main Results:

  • Posture, activity type, and lagged movement intensity significantly improved HR estimation accuracy.
  • aHR generally underestimated reactivity but captured individual differences in response to mental stressors.
  • aHR demonstrated a limited but superior ability compared to observed HR in differentiating physical versus mental stress.

Conclusions:

  • The novel aHR estimation method shows potential for more accurate mental stress assessment in naturalistic environments.
  • Future research should validate aHR in daily life and explore its predictive health outcomes.
  • Refining aHR may improve the differentiation between physical and mental physiological demands.