dc.contributor.author | GIURGESCU (MANEA), Mădălina | |
dc.date.accessioned | 2019-07-02T07:54:44Z | |
dc.date.available | 2019-07-02T07:54:44Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | GIURGESCU (MANEA), Mădălina. Towards a diagnostication method of anxiety using the Choquet integral. [Resursă electronică]. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, Universitatea Tehnică a Moldovei, 26-29 martie, 2019. Chișinău, 2019, vol. 1, pp. 602-605. ISBN 978-9975-45-587-9. ISBN 978-9975-45-588-6 (Vol.1). | en_US |
dc.identifier.isbn | 978-9975-45-587-9 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/2915 | |
dc.description | Resursă electronică | en_US |
dc.description.abstract | This article describes a mathematical model through which the level of EEG type waves are processed in order to characterize the level of anxiety. Our idea is to use the Choquet integral with respect to a monotone measure. We consider the data resulting from the EEG wave measurements for a group of subjects. We describe a procedure by using different monotone measures to calculate the anxiety level of a subject using the Choquet integral. For each patient we have the level of anxiety given by psychologists. For each patient we compare the results obtained by this method with the results of psychologists. Of all the measures used, we chose the measure that provided the closest results to the real ones. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Tehnica UTM | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | anxiety | en_US |
dc.subject | EEG | en_US |
dc.subject | choquet integral | en_US |
dc.subject | monotone measure | en_US |
dc.subject | Big Five | en_US |
dc.subject | C++ | en_US |
dc.title | Towards a diagnostication method of anxiety using the Choquet integral | en_US |
dc.type | Article | en_US |
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