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dc.contributor.authorTsai, Zhi-Renen_US
dc.contributor.authorChang, Yau-Zenen_US
dc.contributor.authorZhang, Han-Weien_US
dc.contributor.authorLin, Chin-Tengen_US
dc.date.accessioned2017-04-21T06:55:21Z-
dc.date.available2017-04-21T06:55:21Z-
dc.date.issued2017-02en_US
dc.identifier.issn0747-5632en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.chb.2016.10.006en_US
dc.identifier.urihttp://hdl.handle.net/11536/133017-
dc.description.abstractThe brain\'s electrical activity is chaotic and unpredictable yet has a hidden order that is attracted to a certain region. There are numerous fractal strange attractors in the brain that change as thinking processes vary. Further, the thinking processes change the human behaviors, especially in schizophrenia or internet addiction. The proposed chaos modelling and control theory may offer useful and relevant information on electrical stimulation therapy design to change this thinking processes through stimulating the brain\'s electrical activities. The experimental result of relaxing body from a lots of electrotherapy clinics helps mental disorders relax the thinking chaos in mind to replace their chaotic behaviors from the brain\'s electrical activities. This paper tries to explain the above claim in the aspect of the electrotherapy and control theory to suggest the control signal of electrotherapy based on an assumption for chaos model of patient and its control signals design according to multiple stabilization solutions. In the future, the electrical stimulation therapy will be proof in the Raphael Humanistic Clinic or the other electrotherapy clinics. (C) 2016 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectBrain's electrical activityen_US
dc.subjectChaosen_US
dc.subjectSchizophreniaen_US
dc.subjectInternet addictionen_US
dc.subjectElectrical stimulation therapyen_US
dc.subjectStabilizationen_US
dc.titleRelax the chaos-model-based human behavior by electrical stimulation therapy designen_US
dc.identifier.doi10.1016/j.chb.2016.10.006en_US
dc.identifier.journalCOMPUTERS IN HUMAN BEHAVIORen_US
dc.citation.volume67en_US
dc.citation.spage151en_US
dc.citation.epage160en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000390075200015en_US
Appears in Collections:Articles