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Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect
BACKGROUND: The present paper describes the design and evaluation of an automated version of the Modified Jebsen Test of Hand Function (MJT) based on the Microsoft Kinect sensor. METHODS: The MJT was administered twice to 11 chronic stroke subjects with varying degrees of hand function deficits. The...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414137/ https://www.ncbi.nlm.nih.gov/pubmed/28464927 http://dx.doi.org/10.1186/s12984-017-0250-1 |
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author | Simonsen, Daniel Nielsen, Ida F. Spaich, Erika G. Andersen, Ole K. |
author_facet | Simonsen, Daniel Nielsen, Ida F. Spaich, Erika G. Andersen, Ole K. |
author_sort | Simonsen, Daniel |
collection | PubMed |
description | BACKGROUND: The present paper describes the design and evaluation of an automated version of the Modified Jebsen Test of Hand Function (MJT) based on the Microsoft Kinect sensor. METHODS: The MJT was administered twice to 11 chronic stroke subjects with varying degrees of hand function deficits. The test times of the MJT were evaluated manually by a therapist using a stopwatch, and automatically using the Microsoft Kinect sensor. The ground truth times were assessed based on inspection of the video-recordings. The agreement between the methods was evaluated along with the test-retest performance. RESULTS: The results from Bland-Altman analysis showed better agreement between the ground truth times and the automatic MJT time evaluations compared to the agreement between the ground truth times and the times estimated by the therapist. The results from the test-retest performance showed that the subjects significantly improved their performance in several subtests of the MJT, indicating a practice effect. CONCLUSIONS: The results from the test showed that the Kinect can be used for automating the MJT. |
format | Online Article Text |
id | pubmed-5414137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54141372017-05-03 Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect Simonsen, Daniel Nielsen, Ida F. Spaich, Erika G. Andersen, Ole K. J Neuroeng Rehabil Research BACKGROUND: The present paper describes the design and evaluation of an automated version of the Modified Jebsen Test of Hand Function (MJT) based on the Microsoft Kinect sensor. METHODS: The MJT was administered twice to 11 chronic stroke subjects with varying degrees of hand function deficits. The test times of the MJT were evaluated manually by a therapist using a stopwatch, and automatically using the Microsoft Kinect sensor. The ground truth times were assessed based on inspection of the video-recordings. The agreement between the methods was evaluated along with the test-retest performance. RESULTS: The results from Bland-Altman analysis showed better agreement between the ground truth times and the automatic MJT time evaluations compared to the agreement between the ground truth times and the times estimated by the therapist. The results from the test-retest performance showed that the subjects significantly improved their performance in several subtests of the MJT, indicating a practice effect. CONCLUSIONS: The results from the test showed that the Kinect can be used for automating the MJT. BioMed Central 2017-05-02 /pmc/articles/PMC5414137/ /pubmed/28464927 http://dx.doi.org/10.1186/s12984-017-0250-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Simonsen, Daniel Nielsen, Ida F. Spaich, Erika G. Andersen, Ole K. Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect |
title | Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect |
title_full | Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect |
title_fullStr | Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect |
title_full_unstemmed | Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect |
title_short | Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect |
title_sort | design and test of an automated version of the modified jebsen test of hand function using microsoft kinect |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414137/ https://www.ncbi.nlm.nih.gov/pubmed/28464927 http://dx.doi.org/10.1186/s12984-017-0250-1 |
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