DeepIoT—Embedded Deep Learning Algorithms for eHealth IoT

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dc.contributor.authorTüretken, Engin
dc.contributor.authorVan Zaen, Jérôme
dc.contributor.authorDelgado-Gonzalo, Ricard
dc.date.accessioned2025-11-11T15:37:36Z
dc.date.available2025-11-11T15:37:36Z
dc.date.issued2018
dc.description.abstractCSEM is bringing the rapidly-advancing technology of deep learning to the world of the Internet of Things (IoT). Building on its experience in the fields of healthcare, IoT, and artificial intelligence (AI), CSEM is developing deep learning algorithms to diagnose and analyze sleep patterns. The algorithms are designed to be reliable for consumer healthcare applications and to be integrated into low-power wearables with limited computational resources.
dc.identifier.citationCSEM Scientific and Technical Report 2018, p. 9
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1768
dc.titleDeepIoT—Embedded Deep Learning Algorithms for eHealth IoT
dc.typeCSEM Report
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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