Generalized flat eeg with depth orientation and regression

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dc.contributor.authorIsmail, Noraini
dc.contributor.authorAhmad, Tahir
dc.contributor.authorIdris, Arminora
dc.contributor.authorAwang, Siti Rahmah
dc.date.accessioned2024-07-12T20:49:59Z
dc.date.available2024-07-12T20:49:59Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractA study is carried out to model tracks followed by clusters of electrons during the sporadic burst of the brainstorm epilepsy The challenges faced were to choose the right model for the event as well as to maximize the accuracy of the real time data taken. The growth of cosmic structure, including a detailed formation of galaxies with super massive black holes in their centers provides a great model for this brainstorm epileptic event. General relativity explains that the fundamental force of gravitation can be described as a curved spacetime caused by the presence of matter and energy. Excellent data from Generalized EEG signals, with six flat cubic surfaces represent mass and energies of clusters of electrons from an epileptic patient were converted into clusters of three dimensional space and time. When fed into Einstein Field Equation, these masses and energies curved the spacetime which represents the movements or tracks of these electrons in a given time. The domains of these tracks were the first to be identified. Strength of each EEG signals as well as the locations of each domain relative to each other were weighted and later were regressed to estimate the best location that represents point of embarkation of these electrons for each second during an epilepsy attack. Correlation analysis identified outliers which might come from other epileptic foci burst. These represent much smaller bursts of electrons that occur simultaneously. Illustrations for these tracks are plotted in three dimensional spaces as time progresses.en_US
dc.identifier.citationIsmail, N., Idris, A. ve Awang, S. R. (2009). Generalized flat eeg with depth orientation and regression. Maltepe Üniversitesi. s. 305.en_US
dc.identifier.endpage306en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage305en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2266
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07593
dc.titleGeneralized flat eeg with depth orientation and regressionen_US
dc.typeConference Object
dspace.entity.typePublication

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