Publication:

Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks

Date

2025-APR
Journal article
https://doi.org/10.1109/TBME.2024.3498097
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dc.contributor.authorWerthen-Brabants, Lorin
dc.contributor.authorCastillo-Escario, Yolanda
dc.contributor.authorGroenendaal, Willemijn
dc.contributor.authorJane, Raimon
dc.contributor.authorDhaene, Tom
dc.contributor.authorDeschrijver, Dirk
dc.contributor.imecauthorWerthen-Brabants, Lorin
dc.contributor.imecauthorGroenendaal, Willemijn
dc.contributor.imecauthorDhaene, Tom
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.orcidimecGroenendaal, Willemijn::0000-0003-1024-0756
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.date.accessioned2025-03-31T05:47:07Z
dc.date.available2025-03-31T05:47:07Z
dc.date.issued2025-APR
dc.description.wosFundingTextThis work was supported in part by the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" and the CERCA Program and 2021 SGR 01390 of Generalitat de Catalunya, and in part by the Spanish Ministry of Science and Innovation under Grant PID2021-126455OB-I00 MCIN/AEI/FEDER.
dc.identifier.doi10.1109/TBME.2024.3498097
dc.identifier.issn0018-9294
dc.identifier.pmidMEDLINE:40030371
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45465
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage1306
dc.source.endpage1315
dc.source.issue4
dc.source.journalIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
dc.source.numberofpages10
dc.source.volume72
dc.subject.keywordsSLEEP-APNEA
dc.subject.keywordsPREDICTION
dc.subject.keywordsSOUND
dc.title

Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks

dc.typeJournal article
dspace.entity.typePublication
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