A review on stress inducement stimuli for assessing human stress using physiological signals

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Main Authors: P., Karthikeyan, Murugappan, M., Dr., Sazali, Yaacob, Prof. Dr.
Other Authors: karthi_209170@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14846
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-148462011-10-24T01:48:50Z A review on stress inducement stimuli for assessing human stress using physiological signals P., Karthikeyan Murugappan, M., Dr. Sazali, Yaacob, Prof. Dr. karthi_209170@yahoo.com m.murugappan@gmail.com sazali22@gmail.com Physiological signals Statistical methods Stress Stress inducement stimuli Link to publisher's homepage at http://ieeexplore.ieee.org Assessing human stress in real-time is more difficult and challenging today. The present review deals about the measurement of stress in laboratory environment using different stress inducement stimuli by the help of physiological signals. Previous researchers have been used different stress inducement stimuli such as stroop colour word test (CWT), mental arithmetic test, public speaking task, cold pressor test, computer games and works used to induce the stress. Most of the researchers have been analyzed stress using questionnaire based approach and physiological signals. The several physiological signals like Electrocardiogram (ECG), Electromyogram (EMG), Galvanic Skin Response (GSR), Blood Pressure (BP), Skin Temperature (ST), Blood Volume Pulse (BVP), respiration rate (RIP) and Electroencephalogram (EEG) were briefly investigated to identify the stress. Different statistical methods like Analysis of variance (ANOVA), two-way ANOVA, Multivariate analysis of variance (MANOVA), t-test, paired t-tests and student t-tests have used to describe the correlation between stress inducement stimuli, subjective parameters (age, gender and etc.,) and physiological signals. This present works aims to find the most appropriate stress inducement stimuli, physiological signals and statistical method to efficiently asses the human stress. 2011-10-24T01:48:50Z 2011-10-24T01:48:50Z 2011-03-04 Working Paper p. 420-425 978-1-6128-4414-5 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5759914 http://hdl.handle.net/123456789/14846 en Proceeding of the 7th International Colloquium on Signal Processing and Its Applications (CSPA 2011) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Physiological signals
Statistical methods
Stress
Stress inducement stimuli
spellingShingle Physiological signals
Statistical methods
Stress
Stress inducement stimuli
P., Karthikeyan
Murugappan, M., Dr.
Sazali, Yaacob, Prof. Dr.
A review on stress inducement stimuli for assessing human stress using physiological signals
description Link to publisher's homepage at http://ieeexplore.ieee.org
author2 karthi_209170@yahoo.com
author_facet karthi_209170@yahoo.com
P., Karthikeyan
Murugappan, M., Dr.
Sazali, Yaacob, Prof. Dr.
format Working Paper
author P., Karthikeyan
Murugappan, M., Dr.
Sazali, Yaacob, Prof. Dr.
author_sort P., Karthikeyan
title A review on stress inducement stimuli for assessing human stress using physiological signals
title_short A review on stress inducement stimuli for assessing human stress using physiological signals
title_full A review on stress inducement stimuli for assessing human stress using physiological signals
title_fullStr A review on stress inducement stimuli for assessing human stress using physiological signals
title_full_unstemmed A review on stress inducement stimuli for assessing human stress using physiological signals
title_sort review on stress inducement stimuli for assessing human stress using physiological signals
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14846
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