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3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application
Optoelectronic devices are the gold standard for 3D evaluation in clinics, but due to the complexity of this kind of hardware and the lack of access for patients, affordable, transportable, and easy-to-use systems must be developed to be largely used in daily clinics. The Kinect(TM) sensor has vario...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069223/ https://www.ncbi.nlm.nih.gov/pubmed/29996533 http://dx.doi.org/10.3390/s18072216 |
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author | Bonnechère, Bruno Sholukha, Victor Omelina, Lubos Van Sint Jan, Serge Jansen, Bart |
author_facet | Bonnechère, Bruno Sholukha, Victor Omelina, Lubos Van Sint Jan, Serge Jansen, Bart |
author_sort | Bonnechère, Bruno |
collection | PubMed |
description | Optoelectronic devices are the gold standard for 3D evaluation in clinics, but due to the complexity of this kind of hardware and the lack of access for patients, affordable, transportable, and easy-to-use systems must be developed to be largely used in daily clinics. The Kinect(TM) sensor has various advantages compared to optoelectronic devices, such as its price and transportability. However, it also has some limitations: (in)accuracy of the skeleton detection and tracking as well as the limited amount of available points, which makes 3D evaluation impossible. To overcome these limitations, a novel method has been developed to perform 3D evaluation of the upper limbs. This system is coupled to rehabilitation exercises, allowing functional evaluation while performing physical rehabilitation. To validate this new approach, a two-step method was used. The first step was a laboratory validation where the results obtained with the Kinect(TM) were compared with the results obtained with an optoelectronic device; 40 healthy young adults participated in this first part. The second step was to determine the clinical relevance of this kind of measurement. Results of the healthy subjects were compared with a group of 22 elderly adults and a group of 10 chronic stroke patients to determine if different patterns could be observed. The new methodology and the different steps of the validations are presented in this paper. |
format | Online Article Text |
id | pubmed-6069223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60692232018-08-07 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application Bonnechère, Bruno Sholukha, Victor Omelina, Lubos Van Sint Jan, Serge Jansen, Bart Sensors (Basel) Article Optoelectronic devices are the gold standard for 3D evaluation in clinics, but due to the complexity of this kind of hardware and the lack of access for patients, affordable, transportable, and easy-to-use systems must be developed to be largely used in daily clinics. The Kinect(TM) sensor has various advantages compared to optoelectronic devices, such as its price and transportability. However, it also has some limitations: (in)accuracy of the skeleton detection and tracking as well as the limited amount of available points, which makes 3D evaluation impossible. To overcome these limitations, a novel method has been developed to perform 3D evaluation of the upper limbs. This system is coupled to rehabilitation exercises, allowing functional evaluation while performing physical rehabilitation. To validate this new approach, a two-step method was used. The first step was a laboratory validation where the results obtained with the Kinect(TM) were compared with the results obtained with an optoelectronic device; 40 healthy young adults participated in this first part. The second step was to determine the clinical relevance of this kind of measurement. Results of the healthy subjects were compared with a group of 22 elderly adults and a group of 10 chronic stroke patients to determine if different patterns could be observed. The new methodology and the different steps of the validations are presented in this paper. MDPI 2018-07-10 /pmc/articles/PMC6069223/ /pubmed/29996533 http://dx.doi.org/10.3390/s18072216 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bonnechère, Bruno Sholukha, Victor Omelina, Lubos Van Sint Jan, Serge Jansen, Bart 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application |
title | 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application |
title_full | 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application |
title_fullStr | 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application |
title_full_unstemmed | 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application |
title_short | 3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the Kinect(TM) Sensor: Development, Laboratory Validation and Clinical Application |
title_sort | 3d analysis of upper limbs motion during rehabilitation exercises using the kinect(tm) sensor: development, laboratory validation and clinical application |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069223/ https://www.ncbi.nlm.nih.gov/pubmed/29996533 http://dx.doi.org/10.3390/s18072216 |
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