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 2025;56(2):121 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
  7. Sözer A. Enhancing Fall Detection Accuracy: The Ground-Face Coordinate System for 3D Accelerometer Data. Sakarya University Journal of Computer and Information Sciences 2024;7(3):439 View

Books/Policy Documents

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