Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study

10.2196/16854

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Bibliographic Details
Main Authors:	Rawtaer, I., Mahendran, R., Kua, E.H., Tan, H.P., Tan, H.X., Lee, T.-S., Ng, T.P.
Other Authors:	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Format:	Article
Published:	JMIR Publications Inc. 2021
Subjects:	Dementia Early diagnosis Internet of things Neurocognitive disorder Pattern recognition, automated/methods
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/196671
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-196671
record_format	dspace
spelling	sg-nus-scholar.10635-1966712024-11-13T19:40:25Z Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study Rawtaer, I. Mahendran, R. Kua, E.H. Tan, H.P. Tan, H.X. Lee, T.-S. Ng, T.P. DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) PSYCHOLOGICAL MEDICINE Dementia Early diagnosis Internet of things Neurocognitive disorder Pattern recognition, automated/methods 10.2196/16854 Journal of Medical Internet Research 22 5 e16854 2021-08-12T00:44:08Z 2021-08-12T00:44:08Z 2020 Article Rawtaer, I., Mahendran, R., Kua, E.H., Tan, H.P., Tan, H.X., Lee, T.-S., Ng, T.P. (2020). Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study. Journal of Medical Internet Research 22 (5) : e16854. ScholarBank@NUS Repository. https://doi.org/10.2196/16854 14388871 https://scholarbank.nus.edu.sg/handle/10635/196671 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ JMIR Publications Inc. Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Dementia Early diagnosis Internet of things Neurocognitive disorder Pattern recognition, automated/methods
spellingShingle	Dementia Early diagnosis Internet of things Neurocognitive disorder Pattern recognition, automated/methods Rawtaer, I. Mahendran, R. Kua, E.H. Tan, H.P. Tan, H.X. Lee, T.-S. Ng, T.P. Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study
description	10.2196/16854
author2	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
author_facet	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) Rawtaer, I. Mahendran, R. Kua, E.H. Tan, H.P. Tan, H.X. Lee, T.-S. Ng, T.P.
format	Article
author	Rawtaer, I. Mahendran, R. Kua, E.H. Tan, H.P. Tan, H.X. Lee, T.-S. Ng, T.P.
author_sort	Rawtaer, I.
title	Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study
title_short	Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study
title_full	Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study
title_fullStr	Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study
title_full_unstemmed	Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study
title_sort	early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in singapore: cross-sectional feasibility study
publisher	JMIR Publications Inc.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/196671
_version_	1821217236152483840

Early detection of mild cognitive impairment with in-home sensors to monitor behavior patterns in community-dwelling senior citizens in Singapore: Cross-sectional feasibility study

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