Publication:
Real time EEG-based pain control system

dc.contributor.authorPradkij Panavarananen_US
dc.contributor.authorWaraporn Poolpoemen_US
dc.contributor.authorNattakul Saithongen_US
dc.contributor.authorYodchanan Wongsawaten_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-10-19T04:50:26Z
dc.date.available2018-10-19T04:50:26Z
dc.date.issued2013-12-01en_US
dc.description.abstractPain is a human phenomenon when sensory receptors are stimulated by the injury, i.e. the electrical signal from the site of stimulus transmits to the brain. Most patients have suffered from those pains. Even though there are some medicine to reduce the pain, but there are some side effects. This study proposes the use of an electroencephalogram (EEG) as an index for self-controlling of the acute pain. The real-time EEG based pain control system is a biofeedback device that designs for users to control a virtual reality game to distract the pain. The experiment obtained an index of a pain state for the system which evaluated by the questionnaire and Somatosensory Evoked Potential (SEP). The results can be illustrated the pain state that the frequencies of alpha band (8-13 Hz) decrease while the frequencies of beta band (20-25 Hz) increase in the posterior area. This index used the real-time pain control system to indicate the state of the pain. The system interfaces with the virtual reality game. The success of this study leads to the system that can reduce the pain in real-time performance. It can help people to tolerate the pain which is an alternative method for recovery besides using drugs.en_US
dc.identifier.citationi-CREATe 2013 - International Convention on Rehabilitation Engineering and Assistive Technology, in Conjunction with SENDEX 2013. (2013)en_US
dc.identifier.other2-s2.0-84894580003en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/31590
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894580003&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleReal time EEG-based pain control systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894580003&origin=inwarden_US

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