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

Mobile Devices and Apps for Seniors and Healthy Aging (249) mHealth for Telemedicine and Homecare (503) Falls Prevention in the Elderly (93) Physical Activity for Older People (253) Telehealth and Telemonitoring (1987) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1660) Falls and Emergency Detection with Sensors and other Technologies (51) Aging in Place (354)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57601, first published .
Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study

Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study

Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study

Authors of this article:

Brian Suffoletto1 Author Orcid Image ;   David Kim1 Author Orcid Image ;   Caitlin Toth1 Author Orcid Image ;   Waverly Mayer1 Author Orcid Image ;   Sean Glaister1 Author Orcid Image ;   Chris Cinkowski1 Author Orcid Image ;   Nick Ashenburg1 Author Orcid Image ;   Michelle Lin1 Author Orcid Image ;   Michael Losak1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  2. Philpot L, Singla A, Dugani S, Canning R, Smith C, DeZutter M, Ramar P, Hovell J, Ebbert J. Patient-Derived Design Principles for Technology-Enabled Healing at Home Following Hospital Discharge: Mixed Methods Study. JMIR Human Factors 2025;12:e72913 View
  3. Batumalai P, Thazhakkattu Vasu D, Selvakumar K, Choon Hian G. A bibliometric analysis of wearable sensors for fall-risk assessment in the elderly population. Medicine 2025;104(35):e44118 View