Should we use both clinical and mobility measures to identify fallers in Parkinson's disease?
Author:
Funder
National Institutes of Health
U.S. Department of Veterans Affairs
Publisher
Elsevier BV
Subject
Neurology (clinical),Geriatrics and Gerontology,Neurology
Reference43 articles.
1. Falls in Parkinson's disease: a complex and evolving picture;Fasano;Mov. Disord. : official journal of the Movement Disorder Society,2017
2. Recurrent falls in Parkinson's disease: a systematic review;Allen;Parkinson's Dis.,2013
3. Practice parameter: assessing patients in a neurology practice for risk of falls (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology;Thurman;Neurology,2008
4. Fall-related hospitalization in people with Parkinson's disease;Paul;Eur. J. Neurol.,2017
5. Fear of falling and postural control in Parkinson's disease;Adkin;Mov. Disord.,2003
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1. A non-expensive bidimensional kinematic balance assessment can detect early postural instability in people with Parkinson’s disease;Frontiers in Neurology;2023-11-17
2. Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease;Sensors;2023-05-22
3. Combination of Clinical and Gait Measures to Classify Fallers and Non-Fallers in Parkinson’s Disease;Sensors;2023-05-11
4. Specific Distribution of Digital Gait Biomarkers in Parkinson’s Disease Using Body-Worn Sensors and Machine Learning;The Journals of Gerontology: Series A;2023-04-17
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