Article Synopsis
- Using mobile devices to deliver timely interventions can enhance stress management.
- The study introduces a method for analyzing sensor data to identify significant stress episodes in real-world conditions.
- Findings indicate that past stress duration influences future stress episodes, with lower stress levels in the mornings and evenings compared to the daytime.
Video Abstracts
Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Management of daily stress can be greatly improved by delivering sensor-triggered just-in-time interventions (JITIs) on mobile devices. The success of such JITIs critically depends on being able to mine the time series of noisy sensor data to find the most opportune moments. In this paper, we propose a time series pattern mining method to detect significant stress episodes in a time series of discontinuous and rapidly varying stress data. We apply our model to 4 weeks of physiological, GPS, and activity data collected from 38 users in their natural environment to discover patterns of stress in real-life. We find that the duration of a prior stress episode predicts the duration of the next stress episode and stress in mornings and evenings is lower than during the day. We then analyze the relationship between stress and objectively rated disorder in the surrounding neighborhood and develop a model to predict stressful episodes.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207658 | PMC |
| http://dx.doi.org/10.1145/2858036.2858218 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Driven by eutrophication and global warming, the occurrence and frequency of harmful cyanobacteria blooms (CyanoHABs) are increasing worldwide, posing a serious threat to human health and biodiversity. Early warning enables precautional control measures of CyanoHABs within water bodies and in water works, and it becomes operational with high frequency in situ data (HFISD) of water quality and forecasting models by machine learning (ML). However, the acceptance of early warning systems by end-users relies significantly on the interpretability and generalizability of underlying models, and their operability.
View Article and Find Full Text PDFRecognizing the overlooked: rethinking autism spectrum disorder symptom presentation in girls.
Turk J Pediatr
September 2025
Division of Developmental Pediatrics, Department of Pediatrics, Faculty of Medicine, Hacettepe University, Ankara, Türkiye.
Background: Autism spectrum disorder (ASD) is more frequently diagnosed in boys than in girls, possibly due to gender-based differences in symptom presentation or referral patterns. This study investigates gender-related variations in symptom severity and clinical presentation among preschool children referred for suspected ASD.
Methods: This study included 125 children (boys: n=103; girls: n=22) aged 2-5 years suspected of having ASD.
ObjectiveThis work examined performance costs for a spatial integration task when two sources of information were presented at increasing eccentricities with an augmented-reality (AR) head-mounted display (HMD).BackgroundSeveral studies have noted that different types of tasks have varying costs associated with the spatial proximity of information that requires mental integration. Additionally, prior work has found a relatively negligible role of head movements associated with performance costs.
View Article and Find Full Text PDFIncidence, Etiology, and Long-Term Outcome of Acute Myelitis in Stockholm County, Sweden: A Population-Based Study.
Neurol Neuroimmunol Neuroinflamm
November 2025
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Background And Objectives: Myelitis is a relatively common clinical entity for neurologists, with diverse underlying causes. The aim of this study was to describe the incidence of myelitis, its causes, clinical presentation, and factors predicting functional outcomes and relapses.
Methods: Using the Swedish National Patient Registry, we identified all adult patients in Stockholm County between 2008 and 2018 using International Classification of Diseases, 10th Edition (ICD-10) codes likely to include myelitis.
Pre-Donation Cardiac Arrest and Liver Transplantation Outcomes: Implications for Ischemic Preconditioning.
Clin Transplant
September 2025
Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Background: Liver transplantation is the definitive treatment for end-stage liver disease and some cancers. The use of livers from donors following pre-donation cardiac arrest (PDCA), especially with prolonged downtime duration, has been limited outside of the US due to fears over inferior outcomes from ischemic injury. However, PDCA may induce ischemic preconditioning, paradoxically improving post-transplant outcomes.
View Article and Find Full Text PDF