This paper is in the following e-collection/theme issue:

Sensors at Home and Domotics (59) New Methods (959) Ubiquitous Health (uHealth) (125) Dementia and Cognitive Decline (500) Diagnostic Tools in Mental Health (247) Aging in Place (297) Assisted Living for the Elderly and Nursing Home Care (169)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16854, first published .
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

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

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

Authors of this article:

Iris Rawtaer1 Author Orcid Image ;   Rathi Mahendran2 Author Orcid Image ;   Ee Heok Kua2 Author Orcid Image ;   Hwee Pink Tan3 Author Orcid Image ;   Hwee Xian Tan3 Author Orcid Image ;   Tih-Shih Lee4 Author Orcid Image ;   Tze Pin Ng2 Author Orcid Image
Article Authors Cited by (44) Tweetations (2) Metrics

Journals

  1. Rawtaer I, Abdul Jabbar K, Liu X, Ying T, Giang A, Yap P, Cheong R, Tan H, Lee P, Wee S, Ng T. Performance‐based IADL evaluation of older adults with cognitive impairment within a smart home: A feasibility study. Alzheimer's & Dementia: Translational Research & Clinical Interventions 2021;7(1) View
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  7. Teh S, Rawtaer I, Tan H. Predictive Accuracy of Digital Biomarker Technologies for Detection of Mild Cognitive Impairment and Pre-Frailty Amongst Older Adults: A Systematic Review and Meta-Analysis. IEEE Journal of Biomedical and Health Informatics 2022;26(8):3638 View
  8. Kong W, He L, Wang H. Exploratory Data Analysis of Human Activity Recognition Based on Smart Phone. IEEE Access 2021;9:73355 View
  9. Teh S, Rawtaer I, Tan A. Predictive self-organizing neural networks for in-home detection of Mild Cognitive Impairment. Expert Systems with Applications 2022;205:117538 View
  10. Yamasaki T, Kumagai S. Nonwearable Sensor-Based In-Home Assessment of Subtle Daily Behavioral Changes as a Candidate Biomarker for Mild Cognitive Impairment. Journal of Personalized Medicine 2021;12(1):11 View
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  16. Lawson L, Mc Ardle R, Wilson S, Beswick E, Karimi R, Slight S. Digital Endpoints for Assessing Instrumental Activities of Daily Living in Mild Cognitive Impairment: Systematic Review. Journal of Medical Internet Research 2023;25:e45658 View
  17. Muurling M, Au-Yeung W, Beattie Z, Wu C, Dodge H, Rodrigues N, Gothard S, Silbert L, Barnes L, Steele J, Kaye J. Differences in Life Space Activity Patterns Between Older Adults With Mild Cognitive Impairment Living Alone or as a Couple: Cohort Study Using Passive Activity Sensing. JMIR Aging 2023;6:e45876 View
  18. Górriz J, Álvarez-Illán I, Álvarez-Marquina A, Arco J, Atzmueller M, Ballarini F, Barakova E, Bologna G, Bonomini P, Castellanos-Dominguez G, Castillo-Barnes D, Cho S, Contreras R, Cuadra J, Domínguez E, Domínguez-Mateos F, Duro R, Elizondo D, Fernández-Caballero A, Fernandez-Jover E, Formoso M, Gallego-Molina N, Gamazo J, González J, Garcia-Rodriguez J, Garre C, Garrigós J, Gómez-Rodellar A, Gómez-Vilda P, Graña M, Guerrero-Rodriguez B, Hendrikse S, Jimenez-Mesa C, Jodra-Chuan M, Julian V, Kotz G, Kutt K, Leming M, de Lope J, Macas B, Marrero-Aguiar V, Martinez J, Martinez-Murcia F, Martínez-Tomás R, Mekyska J, Nalepa G, Novais P, Orellana D, Ortiz A, Palacios-Alonso D, Palma J, Pereira A, Pinacho-Davidson P, Pinninghoff M, Ponticorvo M, Psarrou A, Ramírez J, Rincón M, Rodellar-Biarge V, Rodríguez-Rodríguez I, Roelofsma P, Santos J, Salas-Gonzalez D, Salcedo-Lagos P, Segovia F, Shoeibi A, Silva M, Simic D, Suckling J, Treur J, Tsanas A, Varela R, Wang S, Wang W, Zhang Y, Zhu H, Zhu Z, Ferrández-Vicente J. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Information Fusion 2023;100:101945 View
  19. Esquer-Rochin M, Rodríguez L, Gutierrez-Garcia J. The Internet of Things in dementia: A systematic review. Internet of Things 2023;22:100824 View
  20. Kim S, Park J, Choi H, Loeser M, Ryu H, Seo K. Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation Study. Journal of Medical Internet Research 2023;25:e48093 View
  21. Mc Ardle R, Jabbar K, Del Din S, Thomas A, Robinson L, Kerse N, Rochester L, Callisaya M. Using Digital Technology to Quantify Habitual Physical Activity in Community Dwellers With Cognitive Impairment: Systematic Review. Journal of Medical Internet Research 2023;25:e44352 View
  22. Tian Y, Felber N, Pageau F, Schwab D, Wangmo T. Benefits and barriers associated with the use of smart home health technologies in the care of older persons: a systematic review. BMC Geriatrics 2024;24(1) View
  23. Kiah Hui Siew S, Yu J, Teo T, Chua K, Mahendran R, Rawtaer I, Köpke S. Technology and physical activity for preventing cognitive and physical decline in older adults: Protocol of a pilot RCT. PLOS ONE 2024;19(2):e0293340 View
  24. Qian L, Chan A, Cai J, Lewicke J, Gregson G, Lipsett M, Rios Rincón A. Evaluation of the accuracy of a UWB tracker for in-home positioning for older adults. Medical Engineering & Physics 2024;126:104155 View
  25. Schmitter-Edgecombe M, Luna C, Dai S, Cook D. Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment. The Clinical Neuropsychologist 2024:1 View
  26. Frederiksen K, Arus X, Zetterberg H, Gauthier S, Boada M, Pytel V, Hahn-Pedersen J, Solís Tarazona L, Mattke S. Focusing on earlier diagnosis of Alzheimer's disease. Future Neurology 2024;19(1) View
  27. Park B, Kim Y, Park J, Choi H, Kim S, Ryu H, Seo K. Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study. Journal of Medical Internet Research 2024;26:e54538 View
  28. Slachevsky A, Grandi F, Thumala D, Baez S, Santamaria-García H, Schmitter-Edgecombe M, Parra M. A Multidimensional, Person-Centered Framework for Functional Assessment in Dementia: Insights from the ‘What’, ‘How’, ‘To Whom’, and ‘How Much’ Questions. Journal of Alzheimer’s Disease 2024;99(4):1187 View
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  30. Bode M, Kalbe E, Liepelt-Scarfone I. Cognition and Activity of Daily Living Function in people with Parkinson’s disease. Journal of Neural Transmission 2024;131(10):1159 View
  31. Rocha I, Arantes M, Moreira A, Vilaça J, Morais P, Matos D, Carvalho V. Monitoring Wearable Devices for Elderly People with Dementia: A Review. Designs 2024;8(4):75 View
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  33. Chan A, Cai J, Qian L, Coutts B, Phan S, Gregson G, Lipsett M, Ríos Rincón A. In-Home Positioning for Remote Home Health Monitoring in Older Adults: Systematic Review. JMIR Aging 2024;7:e57320 View
  34. Jang Y, Kim H, Kim S. Research Trends and Usability Challenges in Behavioral Data-Based Cognitive Function Assessment. Electronics 2024;13(19):3830 View

Books/Policy Documents

  1. EDOH T. Smart Home Technologies and Services for Geriatric Rehabilitation. View
  2. Núñez-Marcos A, Azkune G, Arganda-Carreras I. Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine. View
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  5. Alharbi E, Albaradei S, Essack M, Jones J, Alomainy A. Next Generation eHealth. View
  6. Nugent C, Berry D, Turner J, Wilson M, Marron A, Doyle J, O’Sullivan D. IoT Technologies and Wearables for HealthCare. View