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

Viewpoints, Perspectives, Ideas on Aging (15) Wearable Devices and Sensors (903) Assisted Living for the Elderly and Nursing Home Care (169) Falls Prevention in the Elderly (72) Aging in Place (298) Home Care (177) Sensors at Home and Domotics (59) Supporting Home Care and Family Caregivers (200) Demographics of Users, Social & Digital Divide (760)

Published on in Vol 4, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29744, first published .
Falls Detection and Prevention Systems in Home Care for Older Adults: Myth or Reality?

Falls Detection and Prevention Systems in Home Care for Older Adults: Myth or Reality?

Falls Detection and Prevention Systems in Home Care for Older Adults: Myth or Reality?

Authors of this article:

Marion Pech1 Author Orcid Image ;   Helene Sauzeon2 Author Orcid Image ;   Thinhinane Yebda3 Author Orcid Image ;   Jenny Benois-Pineau3 Author Orcid Image ;   Helene Amieva1 Author Orcid Image
Article Authors Cited by (13) Tweetations (8) Metrics

Journals

  1. Melchiorre M, D’Amen B, Quattrini S, Lamura G, Socci M. Health Emergencies, Falls, and Use of Communication Technologies by Older People with Functional and Social Frailty: Ageing in Place in Deprived Areas of Italy. International Journal of Environmental Research and Public Health 2022;19(22):14775 View
  2. Pech M, Gbessemehlan A, Dupuy L, Sauzéon H, Lafitte S, Bachelet P, Amieva H, Pérès K. Lessons Learned From the SoBeezy Program for Older Adults During the COVID-19 Pandemic: Experimentation and Evaluation. JMIR Formative Research 2022;6(11):e39185 View
  3. Esmail Karar M, Reyad O, Ibrahim Shehata H. Deep Forest-Based Fall Detection in Internet of Medical Things Environment. Computer Systems Science and Engineering 2023;45(3):2377 View
  4. Purwar A, Chawla I. A systematic review on fall detection systems for elderly healthcare. Multimedia Tools and Applications 2023;83(14):43277 View
  5. Basile I, Consolo L, Colombo S, Rusconi D, Rampichini F, Lusignani M. Technology to Support Older Adults in Home Palliative Care: A Scoping Review. American Journal of Hospice and Palliative Medicine® 2024;41(6):673 View
  6. Brand T, Herrera-Espejel P, Muellmann S, Wiersing R, Busse H. Soziale Ungleichheit im Zusammenhang mit digitalen Gesundheitsanwendungen: Digitale Spaltungen in den Bereichen Zugang, Nutzung, Wirksamkeit und Privatsphäre. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(3):268 View
  7. Wu K, Kutzer K, Kugelman D, Seyler T. Fall Prevention after Hip and Knee Arthroplasty. Orthopedic Clinics of North America 2024 View
  8. Sadeghi M, Bristow T, Fakorede S, Liao K, Palmer J, Lyons K, Pahwa R, Huang C, Akinwuntan A, Devos H. The Effect of Sensory Reweighting on Postural Control and Cortical Activity in Parkinson's Disease: A Pilot Study. Archives of Rehabilitation Research and Clinical Translation 2024;6(4):100368 View
  9. Farmer M, Powell K. Feasibility of Fall-Risk Detection in Older Adults: Real-World Use of Sensor Data With Machine Learning. Journal of Gerontological Nursing 2024;50(10):7 View
  10. Trotsyuk A, Waeiss Q, Bhatia R, Aponte B, Heffernan I, Madgavkar D, Felder R, Lehmann L, Palmer M, Greely H, Wald R, Goetz L, Trengove M, Vandersluis R, Lin H, Cho M, Altman R, Endy D, Relman D, Levi M, Satz D, Magnus D. Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research. Nature Machine Intelligence 2024 View

Books/Policy Documents

  1. Amieva H. Mémoire et traumatisme. View
  2. . Mémoire et traumatisme. View
  3. Friedrich P, Fuchs D, Wolf B. Digitale Innovationen in der Pflege. View