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...
| Published in: | Medical & Biological Engineering & Computing Vol. 56; no. 12; pp. 2273 - 2287 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Dec2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133056263&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133056263 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2018 vid: 56 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133056263 133056263 NLM29911251 10.1007/s11517-018-1854-8 NLM29911251 133056263 ppf: 2273 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Objective detection of chronic stress using physiological parameters. aug: au: Al abdi, Rabah M. Alhitary, Ahmad E. Abdul Hay, Enas W. Al-bashir, Areen K. affil: Biomedical Engineering Department, Faculty of Engineering, Jordan University of Science and Technology, 22110, Irbid, Jordan sug: subj: Stress, Psychological Physiopathology Signal Processing, Computer Assisted Autonomic Nervous System Physiology Stress, Psychological Diagnosis Diagnosis, Cardiovascular Anxiety Physiopathology Skin Physiology Physiology Male Female Pupil Physiology Young Adult Chronic Disease Heart Rate Physiology Adult Anxiety Diagnosis Equipment Design Respiratory Rate Physiology Algorithms State-Trait Anxiety Inventory Adult: 19-44 years Male Female ab: 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). pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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