Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19223, first published .
A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

Journals

  1. Wei J, Boger J. Sleep Detection for Younger Adults, Healthy Older Adults, and Older Adults Living With Dementia Using Wrist Temperature and Actigraphy: Prototype Testing and Case Study Analysis. JMIR mHealth and uHealth 2021;9(6):e26462 View
  2. Wang G, Albayrak A, Kortuem G, van der Cammen T. A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: Formative Evaluation Study. JMIR Formative Research 2021;5(5):e25705 View
  3. Wang G, Albayrak A, Hogervorst E, van der Cammen T. Know-Me: A Toolkit for Designing Personalised Dementia Care. International Journal of Environmental Research and Public Health 2021;18(11):5662 View
  4. Liu J, Sorwar G, Rahman M, Hoque M. The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model. BMC Geriatrics 2023;23(1) View
  5. Pahlevanynejad S, Niakan Kalhori S, Katigari M, Eshpala R, Tsiknakis M. Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges. International Journal of Telemedicine and Applications 2023;2023:1 View
  6. Chen Z, Qi H, Wang L. Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption. Healthcare 2021;9(11):1494 View
  7. Wang Q, Liu J, Zheng Y. Evolutionary game analysis of community elderly care service regulation in the context of “Internet +”. Frontiers in Public Health 2022;10 View
  8. Liu S, Wu Y, Chen W, Su C, Chin C. Using Ballistocardiogram and Impedance Plethysmogram for Minimal Contact Measurement of Blood Pressure Based on a Body Weight-Fat Scale. Sensors 2023;23(4):2318 View
  9. Coiera E, Yin K, Sharan R, Akbar S, Vedantam S, Xiong H, Waldie J, Lau A. Family informatics. Journal of the American Medical Informatics Association 2022;29(7):1310 View
  10. Wu H, Kumar P, Cao S. Implementation of green infrastructure for improving the building environment of elderly care centres. Journal of Building Engineering 2022;54:104682 View
  11. Davoody N, Eghdam A, Koch S, Hägglund M. Evaluation of an Electronic Care and Rehabilitation Planning Tool With Stroke Survivors With Aphasia: Usability Study. JMIR Human Factors 2023;10:e43861 View
  12. Fotteler M, Kocar T, Dallmeier D, Kohn B, Mayer S, Waibel A, Swoboda W, Denkinger M. Use and benefit of information, communication, and assistive technology among community-dwelling older adults – a cross-sectional study. BMC Public Health 2023;23(1) View
  13. Anttila M, Koivisto J, Luoma M, Anttila H. How to adopt technologies in home care: a mixed methods study on user experiences and change of home care in Finland. BMC Health Services Research 2023;23(1) View
  14. Arioz U, Smrke U, Plohl N, Špes T, Musil B, Mlakar I. Scoping Review of Technological Solutions for Community Dwelling Older Adults and Implications for Instrumental Activities of Daily Living. Aging and disease 2024:0 View
  15. Jutai J, Hatoum F, Bhardwaj D, Hosseini M. Implementation of digital health technologies for older adults: a scoping review. Frontiers in Aging 2024;5 View
  16. Damaševičius R, Jagatheesaperumal S, Kandala R, Hussain S, Alizadehsani R, Gorriz J. Deep learning for personalized health monitoring and prediction: A review. Computational Intelligence 2024;40(3) View

Books/Policy Documents

  1. Sindhu S, Sivasankari R. Inclusivity and Accessibility in Digital Health. View