ArticleMedical & biological engineering & computing2018
Objective detection of chronic stress using physiological parameters.
Article in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Inconclusive evidence that breathing shapes pupil dynamics in humans: a systematic review.Pflugers Archiv : European journal of physiology · 2023Pooled it
- A Narrative Review of AI Frameworks for Chronic Stress Detection Using Physiological Sensing: Resting, Longitudinal, and Reactivity Perspectives.Sensors (Basel, Switzerland) · 2026Review
- Mental Stress Detection Using Physiological Sensors and Artificial Intelligence: A Review.Sensors (Basel, Switzerland) · 2026Review
- Reliability and reactivity of heart rate variability and pupillometry in response to controlled autonomic perturbations in university students.Behavior research methods · 2025Article
- Analysis of Electrodermal Signal Features as Indicators of Cognitive and Emotional Reactions-Comparison of the Effectiveness of Selected Statistical Measures.Sensors (Basel, Switzerland) · 2025Article
- Recent Progress in Biosensors for Depression Monitoring-Advancing Personalized Treatment.Biosensors · 2024Review
- Task-evoked pulse wave amplitude tracks cognitive load.Scientific reports · 2023Article
- Real-World Driver Stress Recognition and Diagnosis Based on Multimodal Deep Learning and Fuzzy EDAS Approaches.Diagnostics (Basel, Switzerland) · 2023Article
- Relationship Between Autonomic Nervous System Activity and Axial Length in Children.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- Towards a Non-Contact Method for Identifying Stress Using Remote Photoplethysmography in Academic Environments.Sensors (Basel, Switzerland) · 2022Article
- Stress and Violence in Video Games: Their Influence on Aggression.Trends in psychology · 2022Article
- Trends in Heart-Rate Variability Signal Analysis.Frontiers in digital health · 2021Review
- Validation of the Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) Questionnaire to Assess Perceived Workload in Patient Monitoring Tasks: Pooled Analysis Study Using Mixed Models.Journal of medical Internet research · 2020Article
- Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis.Future generations computer systems : FGCS · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to design a system to diagnose chronic stress, based on blunted reactivity of the autonomic nervous system (ANS) to cognitive load (CL). The system concurrently measures CL-induced variations in pupil diameter (PD), heart rate (HR), pulse wave amplitude (PWA), galvanic skin response (GSR), and breathing rate (BR). Measurements were recorded from 58 volunteers whose stress level was identified using the State-Trait Anxiety Inventory. Number-multiplication questions were used as CLs. HR, PWA, GSR, and PD were significantly (p < 0.05) changed during CL. CL-induced changes in PWA (16.87 ± 21.39), GSR (- 13.71 ± 7.86), and PD (11.56 ± 9.85) for non-stressed subjects (n = 36) were significantly different (p < 0.05) from those in PWA (2.92 ± 12.89), GSR (- 6.87 ± 9.54), and PD (4.51 ± 10.94) for stressed subjects (n = 22). ROC analysis for PWA, GSR, and PD illustrated their usefulness to identify stressed subjects. By inputting all features to different classification algorithms, up to 91.7% of sensitivity and 89.7% of accuracy to identify stressed subjects were achieved using 10-fold cross-validation. This study was the first to document blunted CL-induced changes in PWA, GSR, and PD in stressed subjects, compared to those in non-stressed subjects. Preliminary results demonstrated the ability of our system to objectively detect chronic stress with good accuracy, suggesting the potential for monitoring stress to prevent dangerous stress-related diseases. Graphical abstract Chronic stress degrads the autonomic nervous system reaction to cognitive loads. Measurement of reduced changes in physiological signals during asking math questions was useful to identify people with high STAI score (stressed subjects).
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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.