Reference Signals In Intracranial Eeg:
Implementation And Analysis

Uher, Daniel

Reference Signals In Intracranial Eeg: Implementation And Analysis

but.event.date	26.04.2018	cs
but.event.title	Student EEICT 2018	cs
dc.contributor.author	Uher, Daniel
dc.date.accessioned	2019-03-04T10:05:38Z
dc.date.available	2019-03-04T10:05:38Z
dc.date.issued	2018	cs
dc.description.abstract	The idea of an artifact-free brain activity recording has been circling around the scientific world for a few decades. Noise present in brain activity recordings may complicate the process of evaluation and interpretation. For the elimination of such unwanted components, the concept of virtual reference signals is usually used. In this work, the algorithms for reference signal estimation using common average-based method as well as more recent methods based on independent component analysis (ICA) were realized and evaluated on a new set of real clinical data. It was found that the ICA-based algorithms allow obtaining more accurate estimation of the reference signal as compared to the average-based one. Finally, all the methods were implemented into a free installable Python toolbox, which will be publicly available after additional testing on real data.	en
dc.format	text	cs
dc.format.extent	107-109	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings of the 24th Conference STUDENT EEICT 2018. s. 107-109. ISBN 978-80-214-5614-3	cs
dc.identifier.isbn	978-80-214-5614-3
dc.identifier.uri	http://hdl.handle.net/11012/138183
dc.language.iso	cz	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings of the 24th Conference STUDENT EEICT 2018	en
dc.relation.uri	http://www.feec.vutbr.cz/EEICT/	cs
dc.rights	© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.rights.access	openAccess	en
dc.subject	Reference signals	en
dc.subject	reference	en
dc.subject	intracranial EEG	en
dc.subject	ICA	en
dc.subject	average	en
dc.subject	correlation	en
dc.title	Reference Signals In Intracranial Eeg: Implementation And Analysis	en
dc.type.driver	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en
eprints.affiliatedInstitution.department	Fakulta elektrotechniky a komunikačních technologií	cs

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