Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks

dc.contributor.author	Van Steenkiste, Tom
dc.contributor.author	Groenendaal, Willemijn
dc.contributor.author	Deschrijver, Dirk
dc.contributor.author	Dhaene, Tom
dc.contributor.imecauthor	Van Steenkiste, Tom
dc.contributor.imecauthor	Groenendaal, Willemijn
dc.contributor.imecauthor	Deschrijver, Dirk
dc.contributor.imecauthor	Dhaene, Tom
dc.contributor.orcidimec	Groenendaal, Willemijn::0000-0003-1024-0756
dc.contributor.orcidimec	Deschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimec	Dhaene, Tom::0000-0003-2899-4636
dc.date.accessioned	2021-10-27T21:25:04Z
dc.date.available	2021-10-27T21:25:04Z
dc.date.embargo	9999-12-31
dc.date.issued	2019-11
dc.identifier.issn	2168-2194
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/34274
dc.identifier.url	https://ieeexplore.ieee.org/document/8571271
dc.source.beginpage	2354
dc.source.endpage	2364
dc.source.issue	6
dc.source.journal	IEEE Journal of Biomedical and Health Informatics
dc.source.volume	23
dc.title	Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks
dc.type	Journal article
dspace.entity.type	Publication
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