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Wearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation

dc.contributor.authorDe Cannière, Hélène
dc.contributor.authorCorradi, Federico
dc.contributor.authorSmeets, Christophe
dc.contributor.authorSchoutteten, Melanie
dc.contributor.authorVaron, Carolina
dc.contributor.authorVan Hoof, Chris
dc.contributor.authorVan Huffel, Sabine
dc.contributor.authorGroenendaal, Willemijn
dc.contributor.authorVandervoort, Pieter
dc.date.accessioned2021-10-28T20:59:21Z
dc.date.available2021-10-28T20:59:21Z
dc.date.issued2020
dc.identifier.issn1424-8220
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34969
dc.sourceIIOimport
dc.titleWearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation
dc.typeJournal article
dc.contributor.imecauthorCorradi, Federico
dc.contributor.imecauthorSmeets, Christophe
dc.contributor.imecauthorSchoutteten, Melanie
dc.contributor.imecauthorVan Hoof, Chris
dc.contributor.imecauthorGroenendaal, Willemijn
dc.contributor.orcidimecCorradi, Federico::0000-0002-5868-8077
dc.contributor.orcidimecVan Hoof, Chris::1234-1234-1234-1234
dc.contributor.orcidimecGroenendaal, Willemijn::0000-0003-1024-0756
dc.contributor.orcidimecVan Hoof, Chris::0000-0002-4645-3326
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage3601
dc.source.journalSensors
dc.source.issue12
dc.source.volume20
dc.identifier.urlhttps://doi.org/10.3390/s20123601
imec.availabilityPublished - imec


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