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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/236418
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dc.titleEvaluating a multi-sensor approach for assessing sleep using wearable and smartphone technology
dc.contributor.authorChua, XY
dc.contributor.authorMassar, SAA
dc.contributor.authorNg, A
dc.contributor.authorOng, JL
dc.contributor.authorSoon, CS
dc.contributor.authorChee, NIYN
dc.contributor.authorChee, MWL
dc.date.accessioned2023-01-26T02:36:57Z
dc.date.available2023-01-26T02:36:57Z
dc.date.issued2020-09-01
dc.identifier.citationChua, XY, Massar, SAA, Ng, A, Ong, JL, Soon, CS, Chee, NIYN, Chee, MWL (2020-09-01). Evaluating a multi-sensor approach for assessing sleep using wearable and smartphone technology. 25th Congress of the European-Sleep-Research-Society (ESRS) 29 : 205-205. ScholarBank@NUS Repository.
dc.identifier.issn0962-1105
dc.identifier.issn1365-2869
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/236418
dc.publisherWILEY
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectClinical Neurology
dc.subjectNeurosciences
dc.subjectNeurosciences & Neurology
dc.typeConference Paper
dc.date.updated2023-01-25T09:00:35Z
dc.contributor.departmentDEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.sourcetitle25th Congress of the European-Sleep-Research-Society (ESRS)
dc.description.volume29
dc.description.page205-205
dc.published.statePublished
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