Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/32890
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dc.contributor.authorBong, Siao Zheng-
dc.contributor.authorMurugappan, Muthusamy, Dr.-
dc.contributor.authorSazali, Yaacob, Prof. Dr.-
dc.date.accessioned2014-03-20T03:38:14Z-
dc.date.available2014-03-20T03:38:14Z-
dc.date.issued2013-
dc.identifier.citationInternational Journal of Medical Engineering and Informatics, vol. 5(2), 2013, pages 152-162en_US
dc.identifier.issn1755-0653-
dc.identifier.urihttp://www.inderscience.com/offer.php?id=53332-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/32890-
dc.descriptionLink to publisher's homepage at http://www.inderscience.com/en_US
dc.description.abstractEmotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. In this work, a detailed investigation has been carried out to identify the relation between negative emotions and stress through previous works. Different types of physiological signals have been investigated by previous researchers on assessing emotions and stress. However, very limited numbers of research works are discussed about the emotional stress assessment using physiological signals. Most of the literatures have been considered the questionnaires and interview-based approaches for estimating the human emotional stress, but these methods are suffers on getting the original or internal state of the subject and giving erroneous solutions in most of the times. Identifying and reducing the level of emotional stress is one of the major factors for preventing the subjects from any kind of medical illness. As result of this review, we have proposed a new data acquisition protocol and signal processing methods for effectively assessing the level of emotional stress through physiological signals.en_US
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltden_US
dc.subjectECGen_US
dc.subjectElectrocardiogramen_US
dc.subjectElectromyogramen_US
dc.subjectEMGen_US
dc.subjectEmotional stress;en_US
dc.subjectGalvanic skin responseen_US
dc.subjectGSRen_US
dc.subjectPhysiological signalsen_US
dc.titleMethods and approaches on inferring human emotional stress changes through physiological signals: A reviewen_US
dc.typeArticleen_US
dc.contributor.urlwendy880806@gmail.comen_US
dc.contributor.urlmurugappan@unimap.edu.myen_US
dc.contributor.urls.yaacob@unimap.edu.myen_US
Appears in Collections:M. Murugappan, Dr.
School of Mechatronic Engineering (Articles)
Sazali Yaacob, Prof. Dr.



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