Objective detection of chronic stress using physiological parameters

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...

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Bibliographic Details
Published in:Medical & biological engineering & computing 2018-12, Vol.56 (12), p.2273-2286
Main Authors: Al abdi, Rabah M., Alhitary, Ahmad E., Abdul Hay, Enas W., Al-bashir, Areen K.
Format: Article
Language:English
Subjects:
Adult
Algorithms
Anxiety
Anxiety - diagnosis
Anxiety - physiopathology
Autonomic nervous system
Autonomic Nervous System - physiology
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Breathing
Chronic Disease
Cognitive ability
Computer Applications
Equipment Design
Female
Galvanic skin response
Galvanic Skin Response - physiology
Heart rate
Heart Rate - physiology
Human Physiology
Humans
Imaging
Male
Nervous system
Original Article
Physiology
Pulse Wave Analysis
Pupil - physiology
Radiology
Respiratory Rate - physiology
Signal Processing, Computer-Assisted
Skin
Stress
Stress, Psychological - diagnosis
Stress, Psychological - physiopathology
Stresses
Young Adult
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Summary: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  
ISSN:0140-0118
1741-0444
DOI:10.1007/s11517-018-1854-8