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

Formative Evaluation of Digital Health Interventions (3229) Web-based and Mobile Health Interventions (4018) Medical Devices for the Elderly (23) Frailty Detection, Assessment and Prediction (62) Mobile Devices and Apps for Seniors and Healthy Aging (265) Wearable Devices and Sensors (1133)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63928, first published .
Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Authors of this article:

Jinyoung Shin1 Author Orcid Image ;   Hyuk Jung Kweon2 Author Orcid Image ;   Jaekyung Choi1 Author Orcid Image
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Journals

  1. Kim H, Lee J. AI-based prediction of SPPB scores using questionnaires of abilities: findings from the national health and aging trends study. BMC Medical Informatics and Decision Making 2025;25(1) View