Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30121, first published .
Effectiveness of a Smartwatch App in Detecting Induced Falls: Observational Study

Effectiveness of a Smartwatch App in Detecting Induced Falls: Observational Study

Effectiveness of a Smartwatch App in Detecting Induced Falls: Observational Study

Journals

  1. Masoumian Hosseini M, Masoumian Hosseini S, Qayumi K, Hosseinzadeh S, Sajadi Tabar S. Smartwatches in healthcare medicine: assistance and monitoring; a scoping review. BMC Medical Informatics and Decision Making 2023;23(1) View
  2. Wu K, Kutzer K, Kugelman D, Seyler T. Fall Prevention after Hip and Knee Arthroplasty. Orthopedic Clinics of North America 2024 View
  3. Maher C, Dankiw K, Singh B, Bogomolova S, Curtis R. In-Home Evaluation of the Neo Care Artificial Intelligence Sound-Based Fall Detection System. Future Internet 2024;16(6):197 View
  4. Tripathi A, Sahni A, Somanchi S, Mantha S, Hammad Khan M, Srivastava A. GoldAid: An Integrated Safety System Leveraging IoT and Advanced Algorithms for Rapid Medical Aid in the Golden Hour. IEEE Sensors Journal 2024;24(15):24548 View
  5. Haque S, Debnath M, Yasmin A, Mahmud T, Ngu A. Experimental Study of Long Short-Term Memory and Transformer Models for Fall Detection on Smartwatches. Sensors 2024;24(19):6235 View
  6. Köhler C, Bartschke A, Fürstenau D, Schaaf T, Salgado-Baez E. The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research. Journal of Medical Internet Research 2024;26:e58936 View

Books/Policy Documents

  1. Puppe F, Krug M, Kempf S. Digitale Innovationen in der Pflege. View