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Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks

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dc.contributor.author Mugruza Vassallo, Carlos
dc.coverage.temporal 14 June 2016 through 17 June 2016
dc.date.accessioned 2019-08-18T01:31:58Z
dc.date.available 2019-08-18T01:31:58Z
dc.date.issued 2016-06
dc.identifier.citation Mugruza Vassallo, C. (Junio, 2016). Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks. En 13th International Conference on Wearable and Implantable Body Sensor Networks, USA. en_PE
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/323
dc.identifier.uri https://ieeexplore.ieee.org/document/7516270
dc.identifier.uri http://dx.doi.org/10.1109/BSN.2016.7516270
dc.description.abstract The use of hierarchical linear modelling has been increasing in the last 5 years to analyze EEG data. Until now, no clear comparison on linear modelling in different modalities has been done. Therefore, specific differences observed in both visual and auditory paradigms were computed with linear modelling. The Coefficient of Determination through the explained variance (R2) in Linear Modelling was sought in visual and auditory modalities. ERP scalp series of time from 100 to 300 ms for the visual task and around 150 ms to 400 for the auditory task were also plotted. Although these paradigms use different regressors, both paradigms showed reliable R2 signatures across the participants and reliable ERP scalp maps. Results accounted for different magnitudes in greater R2 values for visual modality. Auditory R2 results appeared with a reliable linear modelling when compared with R2 studies in other subjects. en
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_PE
dc.relation info:eu-repo/semantics/article en_PE
dc.relation.isPartOf 13th Annual Body Sensor Networks Conference, BSN 2016
dc.rights info:eu-repo/semantics/embargoedAccess en_PE
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Electroencephalography en
dc.subject Auditory modality en
dc.subject Auditory tasks en
dc.subject Coefficient of determination en
dc.subject Eeg datum en
dc.subject Visual modalities en
dc.subject Visual tasks en
dc.subject Body sensor networks en
dc.title Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks en_PE
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi 10.1109/BSN.2016.7516270 en_PE
dc.identifier.journal Annual Body Sensor Networks Conference, BSN en_PE
dc.identifier.scopus 2-s2.0-84983381628


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