Cargando…
Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment
BACKGROUND: One of the major challenges in mental medical care is finding out new instruments for an accurate and objective evaluation of the attention deficit hyperactivity disorder (ADHD). Early ADHD identification, severity assessment, and prompt treatment are essential to avoid the negative effe...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379015/ https://www.ncbi.nlm.nih.gov/pubmed/28320691 http://dx.doi.org/10.2196/jmir.6985 |
_version_ | 1782519527109558272 |
---|---|
author | Delgado-Gomez, David Peñuelas-Calvo, Inmaculada Masó-Besga, Antonio Eduardo Vallejo-Oñate, Silvia Baltasar Tello, Itziar Arrua Duarte, Elsa Vera Varela, María Constanza Carballo, Juan Baca-García, Enrique |
author_facet | Delgado-Gomez, David Peñuelas-Calvo, Inmaculada Masó-Besga, Antonio Eduardo Vallejo-Oñate, Silvia Baltasar Tello, Itziar Arrua Duarte, Elsa Vera Varela, María Constanza Carballo, Juan Baca-García, Enrique |
author_sort | Delgado-Gomez, David |
collection | PubMed |
description | BACKGROUND: One of the major challenges in mental medical care is finding out new instruments for an accurate and objective evaluation of the attention deficit hyperactivity disorder (ADHD). Early ADHD identification, severity assessment, and prompt treatment are essential to avoid the negative effects associated with this mental condition. OBJECTIVE: The aim of our study was to develop a novel ADHD assessment instrument based on Microsoft Kinect, which identifies ADHD cardinal symptoms in order to provide a more accurate evaluation. METHODS: A group of 30 children, aged 8-12 years (10.3 [SD 1.4]; male 70% [21/30]), who were referred to the Child and Adolescent Psychiatry Unit of the Department of Psychiatry at Fundación Jiménez Díaz Hospital (Madrid, Spain), were included in this study. Children were required to meet the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria of ADHD diagnosis. One of the parents or guardians of the children filled the Spanish version of the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN) rating scale used in clinical practice. Each child conducted a Kinect-based continuous performance test (CPT) in which the reaction time (RT), the commission errors, and the time required to complete the reaction (CT) were calculated. The correlations of the 3 predictors, obtained using Kinect methodology, with respect to the scores of the SWAN scale were calculated. RESULTS: The RT achieved a correlation of -.11, -.29, and -.37 with respect to the inattention, hyperactivity, and impulsivity factors of the SWAN scale. The correlations of the commission error with respect to these 3 factors were -.03, .01, and .24, respectively. CONCLUSIONS: Our findings show a relation between the Microsoft Kinect-based version of the CPT and ADHD symptomatology assessed through parental report. Results point out the importance of future research on the development of objective measures for the diagnosis of ADHD among children and adolescents. |
format | Online Article Text |
id | pubmed-5379015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-53790152017-04-10 Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment Delgado-Gomez, David Peñuelas-Calvo, Inmaculada Masó-Besga, Antonio Eduardo Vallejo-Oñate, Silvia Baltasar Tello, Itziar Arrua Duarte, Elsa Vera Varela, María Constanza Carballo, Juan Baca-García, Enrique J Med Internet Res Original Paper BACKGROUND: One of the major challenges in mental medical care is finding out new instruments for an accurate and objective evaluation of the attention deficit hyperactivity disorder (ADHD). Early ADHD identification, severity assessment, and prompt treatment are essential to avoid the negative effects associated with this mental condition. OBJECTIVE: The aim of our study was to develop a novel ADHD assessment instrument based on Microsoft Kinect, which identifies ADHD cardinal symptoms in order to provide a more accurate evaluation. METHODS: A group of 30 children, aged 8-12 years (10.3 [SD 1.4]; male 70% [21/30]), who were referred to the Child and Adolescent Psychiatry Unit of the Department of Psychiatry at Fundación Jiménez Díaz Hospital (Madrid, Spain), were included in this study. Children were required to meet the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria of ADHD diagnosis. One of the parents or guardians of the children filled the Spanish version of the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN) rating scale used in clinical practice. Each child conducted a Kinect-based continuous performance test (CPT) in which the reaction time (RT), the commission errors, and the time required to complete the reaction (CT) were calculated. The correlations of the 3 predictors, obtained using Kinect methodology, with respect to the scores of the SWAN scale were calculated. RESULTS: The RT achieved a correlation of -.11, -.29, and -.37 with respect to the inattention, hyperactivity, and impulsivity factors of the SWAN scale. The correlations of the commission error with respect to these 3 factors were -.03, .01, and .24, respectively. CONCLUSIONS: Our findings show a relation between the Microsoft Kinect-based version of the CPT and ADHD symptomatology assessed through parental report. Results point out the importance of future research on the development of objective measures for the diagnosis of ADHD among children and adolescents. JMIR Publications 2017-03-20 /pmc/articles/PMC5379015/ /pubmed/28320691 http://dx.doi.org/10.2196/jmir.6985 Text en ©David Delgado-Gomez, Inmaculada Peñuelas-Calvo, Antonio Eduardo Masó-Besga, Silvia Vallejo-Oñate, Itziar Baltasar Tello, Elsa Arrua Duarte, María Constanza Vera Varela, Juan Carballo, Enrique Baca-García. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.03.2017. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Delgado-Gomez, David Peñuelas-Calvo, Inmaculada Masó-Besga, Antonio Eduardo Vallejo-Oñate, Silvia Baltasar Tello, Itziar Arrua Duarte, Elsa Vera Varela, María Constanza Carballo, Juan Baca-García, Enrique Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment |
title | Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment |
title_full | Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment |
title_fullStr | Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment |
title_full_unstemmed | Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment |
title_short | Microsoft Kinect-based Continuous Performance Test: An Objective Attention Deficit Hyperactivity Disorder Assessment |
title_sort | microsoft kinect-based continuous performance test: an objective attention deficit hyperactivity disorder assessment |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379015/ https://www.ncbi.nlm.nih.gov/pubmed/28320691 http://dx.doi.org/10.2196/jmir.6985 |
work_keys_str_mv | AT delgadogomezdavid microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT penuelascalvoinmaculada microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT masobesgaantonioeduardo microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT vallejoonatesilvia microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT baltasartelloitziar microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT arruaduarteelsa microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT veravarelamariaconstanza microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT carballojuan microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment AT bacagarciaenrique microsoftkinectbasedcontinuousperformancetestanobjectiveattentiondeficithyperactivitydisorderassessment |