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dc.contributor.authorPanwar, Madhuri
dc.contributor.authorBiswas, Dwaipayan
dc.contributor.authorBajaj, Harsh
dc.contributor.authorJöbges, Michael
dc.contributor.authorTurk, Ruth
dc.contributor.authorMaharatna, Koushik
dc.contributor.authorAcharyya, Amit
dc.date.accessioned2021-10-27T15:27:12Z
dc.date.available2021-10-27T15:27:12Z
dc.date.issued2019
dc.identifier.issn0018-9294
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33737
dc.sourceIIOimport
dc.titleRehab-Net: Deep Learning framework for Arm Movement Classification using Wearable Sensors for Stroke Rehabilitation
dc.typeJournal article
dc.contributor.imecauthorBiswas, Dwaipayan
dc.source.peerreviewyes
dc.source.beginpage3026
dc.source.endpage3037
dc.source.journalIEEE Transactions on Biomedical Engineering
dc.source.issue11
dc.source.volume66
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8643399
imec.availabilityPublished - imec


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