Key result
Continuous ambulatory monitoring using wearable physiological sensors and smartphone assessments identified digital phenotypes for daily-life stress detection with an average F1-score of 0.43.
Why the study?
Physiological signals reliably indicate stress in laboratory settings, but large-scale ambulatory validation is lacking.
Does continuous ambulatory monitoring with wearable devices detect physiological changes associated with self-reported daily-life stress in healthy adults?
Population
1002 healthy subjects
Comparison
Wearable physiological and contextual monitoring vs self-reported daily-life stress
Design
Large-scale cross-sectional study
Follow-up
Five consecutive days
Authors
Loading...
May support wearable stress phenotyping in daily life; leaves open prospective validation before clinical use.
Cross-Sectional (n=1,002)
Yes
Does continuous ambulatory monitoring with wearable devices detect physiological changes associated with self-reported daily-life stress in healthy adults?
Large-scale ambulatory monitoring using wearable devices can identify digital phenotypes and physiological changes associated with daily-life stress, highlighting the potential for personalized stress detection models.
Smets et al. (2018) conducted a cross-sectional in Daily-life stress in healthy volunteers (n=1,002). Wearable physiological monitoring (ECG, SC, ST) and smartphone EMAs was evaluated on Classification performance (F1-score) of physiological features to self-reported stress (95% CI 0.05-0.86). Continuous ambulatory monitoring using wearable physiological sensors and smartphone assessments identified digital phenotypes for daily-life stress detection with an average F1-score of 0.43.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: