Validation of a Smartphone Application Measuring Motor Function in Parkinson’s Disease-Reference-Cited by-同舟云学术

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Validation of a Smartphone Application Measuring Motor Function in Parkinson’s Disease

Published:2016-05-26 Issue:2 Volume:6 Page:371-382
ISSN:1877-7171
Container-title:Journal of Parkinson's Disease
language:
Short-container-title:JPD

Author:

Lee Will¹²,Evans Andrew³,Williams David R.¹²

Affiliation:

1. Neuroscience Department, The Alfred Hospital, Melbourne, VIC, Australia

2. Van Cleef Roet Centre for Nervous Diseases, Monash University, The Alfred Hospital, Melbourne, VIC, Australia

3. Neurology Department, The Royal Melbourne Hospital, Parkville, VIC, Australia

Publisher

IOS Press

Subject

Cellular and Molecular Neuroscience,Neurology (clinical)

Reference36 articles.

1. Test-retest reliability of the unified Parkinson’s disease rating scale in patients with early Parkinson’s disease: Results from a multicenter clinical trial;Siderowf;Mov Disord,2002

2. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): Process, format, and clinimetric testing plan;Goetz;Mov Disord,2007

3. Test-retest reliability of UPDRS-III, dyskinesia scales, and timed motor tests in patients with advanced Parkinson’s disease: An argument against multiple baseline assessments;Metman;Mov Disord,2004

4. Interrater reliability of the Unified Parkinson’s Disease Rating Scale motor examination;Richards;Mov Disord,1994

5. Assuring interrater reliability for the UPDRS motor section: Utility of the UPDRS teaching tape;Goetz;Mov Disord,2004

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1. Effect of the Yon PDⓇ on the management of self-care in people with Parkinson’s disease: a randomized controlled study (Preprint);2024-06-01

2. Investigating the efficacy and importance of mobile-based assessments for Parkinson's disease: uncovering the potential of novel digital tests;Scientific Reports;2024-03-04

3. Smartphone applications for Movement Disorders: Towards collaboration and re-use;Parkinsonism & Related Disorders;2024-01

4. The Impact of Digital Transformation in HealthCare;Intelligent Systems Reference Library;2024

5. Optimized supervised learning approach to predict Parkinson’s disease with minimal attributes using PPMI Datasets;Multimedia Tools and Applications;2023-11-03

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