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We are analyzing https://www.biorxiv.org/content/10.1101/2021.06.29.450360v3.

Title:
Using wearable biosensors and ecological momentary assessments for the detection of prolonged stress in real life | bioRxiv
Description:
Background Increasing efforts toward prevention of stress-related mental disorders have created a need for unobtrusive real-life monitoring of stress-related symptoms. Wearable devices have emerged as a possible solution to aid in this process, but their use in real-life stress detection has not been systematically investigated. Methods Using ecological momentary assessments (EMA) combined with wearable biosensors for ecological physiological assessments (EPA), we investigated the impact of an ecological stressor (i.e., an exam week) on physiological arousal and affect. With this paradigm we investigated whether we could use wearable devices to detect stress states using machine learning models. Results During stressful high-stake exam (versus control) weeks, participants reported increased negative affect and decreased positive affect. Intriguingly, physiological arousal was decreased on average during the exam week. Time-resolved analyses revealed peaks in physiological arousal associated with both self-reported stress and self-reported positive affect, while the overall decrease in physiological arousal was mediated by lower positive affect during the stress period. We then used machine learning to show that a combination of EMA and physiology yields optimal identification of stress states. Conclusions Our findings highlight the potential of wearable biosensors in stress-related mental-health monitoring, but critically show that psychological context is essential for interpreting physiological arousal detected using these devices. ### Competing Interest Statement The authors have declared no competing interest.
Website Age:
12 years and 2 months (reg. 2013-04-08).

Matching Content Categories {📚}

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Content Management System {📝}

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Website use Drupal 7 (http://drupal.org).

Traffic Estimate {📈}

What is the average monthly size of biorxiv.org audience?

💥 Very Strong Traffic: 200k - 500k visitors per month


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How Does Biorxiv.org Make Money? {💸}

We find it hard to spot revenue streams.

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Keywords {🔍}

biology, stress, physiological, wearable, arousal, affect, ecological, medrxiv, subject, reviews, clinical, results, preprint, biosensors, assessments, stressrelated, devices, investigated, exam, positive, physiology, context, biorxiv, university, trials, epidemiology, search, momentary, detection, pdf, reallife, monitoring, ema, week, states, machine, learning, decreased, selfreported, show, competing, interest, authors, copyright, license, institute, technology, cancer, genetics, microbiology,

Topics {✒️}

epidemiology subject categories stress-related mental-health monitoring clinical trials unobtrusive real-life monitoring real-life stress detection stress-related mental disorders stressful high-stake exam biorxiv subject category genetics microbiology epidemiology papers reviews health-related information author/funder keyword advanced search stress-related symptoms reported positive affect lower positive affect generous financial support chan zuckerberg initiative imperial college london vrije universiteit amsterdam articles animal behavior ecological momentary assessments detect stress states ecological physiological assessments machine learning models decreased positive affect psychological context competing interest statement reported stress context stress states prolonged stress stress period machine learning competing interest physiological arousal ecological stressor exam week wearable biosensors nikos kogias bob kapteijns martin krentz florian krause eliana vassena versus control findings highlight california institute massachusetts institute

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Libraries {📚}

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Emails and Hosting {✉️}

Mail Servers:

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CDN Services {📦}

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