Literature DB >> 29861240

Timed Up and Go evaluation with wearable devices: Validation in Parkinson's disease.

Ana Francisca Rozin Kleiner1, Ilaria Pacifici2, Alessandro Vagnini3, Filippo Camerota4, Claudia Celletti5, Fabrizio Stocchi6, Maria Francesca De Pandis7, Manuela Galli8.   

Abstract

The Timed Up and Go test (TUG) is used to assess individual mobility. It evaluates static and dynamic balance by means of the total time required to complete the test, usually measured by a stopwatch. In recent years tools based on portable inertial measurement units (IMU) for clinical application are increasingly available on the market. More specifically, a tool (hardware and dedicated software) to quantify the TUG test based on IMU is now available. However, it has not yet been validated in subjects with Parkinson's disease (PD). Thus, the aim of this study is to compare measurements from instrumented TUG tests (or iTUG) acquired by an IMU with those obtained using an optoelectronic system (the gold standard) and by a stopwatch, to gain an in-depth understanding of IMU behavior in computing iTUG in subjects with PD. To do this, three TUG test trials were carried out on 30 subjects with PD and measured with all three systems simultaneously. System agreements were evaluated using Intraclass Correlation Coefficient and Bland-Altman plots. The device tested showed excellent reliability, accuracy and precision in quantifying total TUG test duration. Since TUG is a widely used test in rehabilitation settings, its automatic quantification through IMUs could potentially improve the quality of assessments in the quantification of PD gait ability.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accuracy; Inertial measurement unit; Instrumented Timed Up and Go test; Parkinson's disease; Precision; Reliability; Wearable system

Mesh:

Year:  2017        PMID: 29861240     DOI: 10.1016/j.jbmt.2017.07.006

Source DB:  PubMed          Journal:  J Bodyw Mov Ther        ISSN: 1360-8592


  10 in total

1.  Effects of using assistive devices on the components of the modified instrumented timed up and go test in healthy subjects.

Authors:  Turki S Abualait; Ghazi K Alnajdi
Journal:  Heliyon       Date:  2021-04-30

2.  Movement smoothness during a functional mobility task in subjects with Parkinson's disease and freezing of gait - an analysis using inertial measurement units.

Authors:  Camila Pinto; Clarissa Pedrini Schuch; Gustavo Balbinot; Ana Paula Salazar; Ewald Max Hennig; Ana Francisca Rozin Kleiner; Aline Souza Pagnussat
Journal:  J Neuroeng Rehabil       Date:  2019-09-05       Impact factor: 4.262

3.  Measures of balance and falls risk prediction in people with Parkinson's disease: a systematic review of psychometric properties.

Authors:  Stanley J Winser; Priya Kannan; Umar Muhhamad Bello; Susan L Whitney
Journal:  Clin Rehabil       Date:  2019-10-01       Impact factor: 3.477

4.  Predicting Cognitive Decline in Parkinson's Disease with Mild Cognitive Impairment: A One-Year Observational Study.

Authors:  Pei-Hao Chen; Fang-Yu Cheng; Shih-Jung Cheng; Jin-Siang Shaw
Journal:  Parkinsons Dis       Date:  2020-10-28

5.  Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease.

Authors:  Chaoyang Jin; Shouliang Qi; Yueyang Teng; Chen Li; Yudong Yao; Xiuhang Ruan; Xinhua Wei
Journal:  Front Neurol       Date:  2021-04-15       Impact factor: 4.003

6.  HR1 Robot: An Assistant for Healthcare Applications.

Authors:  Valentina Vasco; Alexandre G P Antunes; Vadim Tikhanoff; Ugo Pattacini; Lorenzo Natale; Valerio Gower; Marco Maggiali
Journal:  Front Robot AI       Date:  2022-02-07

7.  Structural Brain Network Abnormalities in Parkinson's Disease With Freezing of Gait.

Authors:  Chaoyang Jin; Lei Yang; Shouliang Qi; Yueyang Teng; Chen Li; Yudong Yao; Xiuhang Ruan; Xinhua Wei
Journal:  Front Aging Neurosci       Date:  2022-07-08       Impact factor: 5.702

8.  Wearable Solutions for Patients with Parkinson's Disease and Neurocognitive Disorder: A Systematic Review.

Authors:  Asma Channa; Nirvana Popescu; Vlad Ciobanu
Journal:  Sensors (Basel)       Date:  2020-05-09       Impact factor: 3.576

9.  Functional Evaluation Using Inertial Measurement of Back School Therapy in Lower Back Pain.

Authors:  Claudia Celletti; Roberta Mollica; Cristina Ferrario; Manuela Galli; Filippo Camerota
Journal:  Sensors (Basel)       Date:  2020-01-18       Impact factor: 3.576

10.  Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors.

Authors:  Ilaria Mulas; Valeria Putzu; Gesuina Asoni; Daniela Viale; Irene Mameli; Massimiliano Pau
Journal:  Aging Clin Exp Res       Date:  2020-09-25       Impact factor: 3.636

  10 in total

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