Estimation of Reference Values of Gait Spatiotemporal and Kinematic Parameters in the Lower Extremities and Trunk Using a Markerless Motion Capture System for Healthy Older Japanese Adults
Author:
Affiliation:
1. Graduate School of Humanities and Social Sciences, Hiroshima University
Publisher
Japanese Physical Therapy Association
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/ptr/26/3/26_E10247/_pdf
Reference23 articles.
1. 1) Toots A, Rosendahl E, et al.: Usual gait speed independently predicts mortality in very old people: a population-based study. J Am Med Dir Assoc. 2013; 14: 529.e1–529.e6.
2. 2) Porta S, Martínez A, et al.: Relevance of sex, age and gait kinematics when predicting fall-risk and mortality in older adults. J Biomech. 2020; 105: 109723.
3. 3) Callisaya ML, Blizzard L, et al.: Ageing and gait variability-a population-based study of older people. Age Ageing. 2010; 39: 191–197.
4. 4) Bridenbaugh SA, Kressig RW: Laboratory review: the role of gait analysis in seniors’ mobility and fall prevention. Gerontology. 2011; 57: 256–264.
5. 5) Marques NR, Hallal CZ, et al.: Applying different mathematical variability methods to identify older fallers and non-fallers using gait variability data. Aging Clin Exp Res. 2017; 29: 473–481.
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