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dc.contributor.authorSaidatul Ardeenawatie, Awang
dc.contributor.authorPaulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorNashrul Fazli, Mohd Nasir
dc.date.accessioned2011-09-30T12:53:59Z
dc.date.available2011-09-30T12:53:59Z
dc.date.issued2011-03-04
dc.identifier.citationp. 167-171en_US
dc.identifier.isbn978-1-6128-4414-5
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5759866&tag=1
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/13969
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis paper reviews the issues related to the automated system for stress evaluation based on brain signal. It describes the current status of mental health especially in Malaysia. The anatomy of stress is briefly discussed to make the understanding of the correlation between stress and other physiological signals. The overview of signal processing part starting from preprocessing, feature extraction and classification is presented.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the 7th International Colloquium on Signal Processing and Its Applications (CSPA 2011)en_US
dc.subjectClassificationen_US
dc.subjectEEGen_US
dc.subjectFeature extractionen_US
dc.subjectStress evaluationen_US
dc.titleAutomated system for stress evaluation based on EEG signal: A prospective reviewen_US
dc.typeWorking Paperen_US


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