A Novel Approach for Identifying Epileptogenic Zones: Deep Learning-Based HFO Biomarkers in sEEG Signals

Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/153864

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DC Field	Value	Language
dc.creator	Ana Sofia Maia Marques Moreira
dc.date.accessioned	2025-11-11T00:55:01Z	-
dc.date.available	2025-11-11T00:55:01Z	-
dc.date.issued	2023-10-11
dc.date.submitted	2023-11-08
dc.identifier.other	sigarra:647776
dc.identifier.uri	https://hdl.handle.net/10216/153864	-
dc.language.iso	eng
dc.rights	restrictedAccess
dc.subject	Outras ciências da engenharia e tecnologias
dc.subject	Other engineering and technologies
dc.title	A Novel Approach for Identifying Epileptogenic Zones: Deep Learning-Based HFO Biomarkers in sEEG Signals
dc.type	Dissertação
dc.contributor.uporto	Faculdade de Engenharia
dc.identifier.doi	10.34626/36n9-0f27
dc.identifier.tid	203427750
dc.subject.fos	Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
dc.subject.fos	Engineering and technology::Other engineering and technologies
thesis.degree.discipline	Mestrado em Bioengenharia
thesis.degree.grantor	Faculdade de Engenharia
thesis.degree.grantor	Universidade do Porto
thesis.degree.level	1
rcaap.embargofct	O trabalho está em fase de publicação em revista científica internacional.
Appears in Collections:	FEUP - Dissertação

Files in This Item:

File	Description	Size	Format
647776.1.pdf	A Novel Approach for Identifying Epileptogenic Zones: Deep Learning-Based HFO Biomarkers in sEEG Signals	16.01 MB	Adobe PDF	View/Open
647776.pdf Restricted Access	Biomarcadores eletrofisiológicos baseados nas oscilações de frequência elevada para a identificação de zonas epileptogénicas	16 MB	Adobe PDF	View/Open