Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17551, first published .
Reduction of Time on the Ground Related to Real-Time Video Detection of Falls in Memory Care Facilities: Observational Study

Reduction of Time on the Ground Related to Real-Time Video Detection of Falls in Memory Care Facilities: Observational Study

Reduction of Time on the Ground Related to Real-Time Video Detection of Falls in Memory Care Facilities: Observational Study

Journals

  1. O'Connor S. Artificial Intelligence for Older Adult Health: Opportunities for Advancing Gerontological Nursing Practice. Journal of Gerontological Nursing 2022;48(12):3 View
  2. Fakhouri F, Fakhouri A, Ijaz M, Alotaibi M, Almalki A. Design of an After-Fall-Assistive Device for Elderly Patients by Finite Element Methods. Journal of Disability Research 2023;2(4) View
  3. Lear R, Ellis S, Ollivierre-Harris T, Long S, Mayer E. Video Recording Patients for Direct Care Purposes: Systematic Review and Narrative Synthesis of International Empirical Studies and UK Professional Guidance. Journal of Medical Internet Research 2023;25:e46478 View
  4. Eost-Telling C, Yang Y, Norman G, Hall A, Hanratty B, Knapp M, Robinson L, Todd C. Digital technologies to prevent falls in people living with dementia or mild cognitive impairment: a rapid systematic overview of systematic reviews. Age and Ageing 2024;53(1) View