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

Formative Evaluation of Digital Health Interventions (2226) Wearable Devices and Sensors (825) mHealth for Data Collection and Research (917)

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

Authors of this article:

Bruce Brew1, 2 Author Orcid Image ;   Steven G Faux2, 3 Author Orcid Image ;   Elizabeth Blanchard4 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

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

Books/Policy Documents

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