Energy-Efficient Seizure Detection Suitable for Low-Power Applications

dc.contributor.author	Bringmann, Oliver
dc.contributor.author	Gerum, Christoph
dc.contributor.author	Bernardo, Paul Palomero
dc.contributor.author	Werner, Julia
dc.date.accessioned	2024-10-09T06:45:30Z
dc.date.available	2024-10-09T06:45:30Z
dc.date.issued	2024-09-09
dc.identifier.issn	2161-4407
dc.identifier.uri	http://hdl.handle.net/10900/157947
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	https://doi.org/10.1109/IJCNN60899.2024.10650710	de_DE
dc.subject.ddc	004	de_DE
dc.title	Energy-Efficient Seizure Detection Suitable for Low-Power Applications	de_DE
dc.type	Article	de_DE
utue.publikation.seiten	1-9	de_DE
utue.personen.roh	Bringmann, Oliver
utue.personen.roh	Gerum, Christoph
utue.personen.roh	Bernardo, Paul Palomero
utue.personen.roh	Kohli, Bhavya
utue.personen.roh	Werner, Julia
dcterms.isPartOf.ZSTitelID	2024 International Joint Conference on Neural Networks (IJCNN)	de_DE