ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
StressHacker: Towards Practical Stress Monitoring in the Wild with Smartwatches.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Occupational Stress Monitoring Using Biomarkers and Smartwatches: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Internet of health things and machine learning for continuous quality of life monitoring.Health and quality of life outcomes · 2025Article
- Investigating the accuracy of Garmin PPG sensors on differing skin types based on the Fitzpatrick scale: cross-sectional comparison study.Frontiers in digital health · 2025Article
- Facilitators of and Barriers to Teachers' Engagement With Consumer Technologies for Stress Management: Qualitative Study.Journal of medical Internet research · 2024Article
- The Future of Stress Management: Integration of Smartwatches and HRV Technology.Sensors (Basel, Switzerland) · 2023Review
- Wearable devices for anxiety & depression: A scoping review.Computer methods and programs in biomedicine update · 2023Article
- Heart rate variability during mindful breathing meditation.Frontiers in physiology · 2022Article
- Evaluating the Reproducibility of Physiological Stress Detection Models.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2020Article
- Continuous Detection of Physiological Stress with Commodity Hardware.ACM transactions on computing for healthcare · 2020Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In modern life, the nonstop and pervasive stress tends to keep us on long-lasting high alert, which over time, could lead to a broad range of health problems from depression, metabolic disorders to heart diseases. However, there is a stunning lack of practical tools for effective stress management that can help people navigate through their daily stress. This paper presents the feasibility evaluation of StressHacker, a smartwatch-based system designed to continuously and passively monitor one's stress level using bio-signals obtained from the on-board sensors. With the proliferation of smartwatches, StressHacker is highly accessible and suited for daily use. Our preliminary evaluation is based on 300 hours of data collected in a real-life setting (12 subjects, 29 days). The result suggests that StressHacker is capable of reliably capturing daily stress dynamics (precision = 86.1%, recall = 91.2%), thus with great potential to enable seamless and personalized stress management.
Indexed as
Identifiers
29854149PMC5977663What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.