ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2019
micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers.
Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- Perinatal Mental Health Detection and Prediction Using Mobile Sensing Data: Systematic Review.JMIR mental health · 2026Pooled it
- Effects of a Personalized Stress Management Intervention on Maternal Mental Health: A Randomized Clinical Trial.Archives of women's mental health · 2025Trial
- Moving the dial on prenatal stress mechanisms of neurodevelopmental vulnerability to mental health problems: A personalized prevention proof of concept.Developmental psychobiology · 2021Trial
- Longitudinal User Engagement with Microinteraction Ecological Momentary Assessment (μEMA).Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025Article
- Current challenges and opportunities in active and passive data collection for mobile health sensing: a scoping review.JAMIA open · 2025Review
- HealthSense: Unobtrusive Continuous Stress Monitoring Using a Novel Dual ECG-PPG Patch.... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks · 2024Article
- Wearable network for multilevel physical fatigue prediction in manufacturing workers.PNAS nexus · 2024Article
- Recent Progress in Biosensors for Depression Monitoring-Advancing Personalized Treatment.Biosensors · 2024Review
- Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study.JMIR mHealth and uHealth · 2024Article
- Perception of Whole Day Workload as a Mediator Between Activity Engagement and Stress in Workers with Type 1 Diabetes.Theoretical issues in ergonomics science · 2024Article
- K-EmoPhone: A Mobile and Wearable Dataset with In-Situ Emotion, Stress, and Attention Labels.Scientific data · 2023Article
- A psycho-educational intervention programme for parents with SGA foetuses supported by an adaptive mHealth system: design, proof of concept and usability assessment.BMC medical informatics and decision making · 2022Article
- Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation.JMIR mHealth and uHealth · 2022Article
- Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review.Sensors (Basel, Switzerland) · 2022Review
- Contextual Biases in Microinteraction Ecological Momentary Assessment (μEMA) Non-response.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022Article
- Stress prediction using micro-EMA and machine learning during COVID-19 social isolation.Smart health (Amsterdam, Netherlands) · 2022Article
- Intensive Longitudinal Data Collection Using Microinteraction Ecological Momentary Assessment: Pilot and Preliminary Results.JMIR formative research · 2022Article
- Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach.PloS one · 2022Article
- Measuring Criterion Validity of Microinteraction Ecological Momentary Assessment (Micro-EMA): Exploratory Pilot Study With Physical Activity Measurement.JMIR mHealth and uHealth · 2021Article
- Evaluating the Reproducibility of Physiological Stress Detection Models.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
High levels of stress during pregnancy increase the chances of having a premature or low-birthweight baby. Perceived self-reported stress does not often capture or align with the physiological and behavioral response. But what if there was a self-report measure that could better capture the physiological response? Current perceived stress self-report assessments require users to answer multi-item scales at different time points of the day. Reducing it to one question, using microinteraction-based ecological momentary assessment (micro-EMA, collecting a single
Identifiers
What 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.