Cargando…

Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis

Attention-deficit/hyperactivity disorder (ADHD) is the most common neuropsychiatric disorder in children. Several scales are available to evaluate ADHD therapeutic effects, including the Swanson, Nolan, and Pelham (SNAP) questionnaire, the Vanderbilt ADHD Diagnostic Rating Scale, and the visual anal...

Descripción completa

Detalles Bibliográficos
Autores principales: Ouyang, Chen-Sen, Chiu, Yi-Hung, Chiang, Ching-Tai, Wu, Rong-Ching, Lin, Ying-Tong, Yang, Rei-Cheng, Lin, Lung-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431492/
https://www.ncbi.nlm.nih.gov/pubmed/34501952
http://dx.doi.org/10.3390/ijerph18179363
_version_ 1783750949937872896
author Ouyang, Chen-Sen
Chiu, Yi-Hung
Chiang, Ching-Tai
Wu, Rong-Ching
Lin, Ying-Tong
Yang, Rei-Cheng
Lin, Lung-Chang
author_facet Ouyang, Chen-Sen
Chiu, Yi-Hung
Chiang, Ching-Tai
Wu, Rong-Ching
Lin, Ying-Tong
Yang, Rei-Cheng
Lin, Lung-Chang
author_sort Ouyang, Chen-Sen
collection PubMed
description Attention-deficit/hyperactivity disorder (ADHD) is the most common neuropsychiatric disorder in children. Several scales are available to evaluate ADHD therapeutic effects, including the Swanson, Nolan, and Pelham (SNAP) questionnaire, the Vanderbilt ADHD Diagnostic Rating Scale, and the visual analog scale. However, these scales are subjective. In the present study, we proposed an objective and automatic approach for evaluating the therapeutic effects of medication in patients with (ADHD). The approach involved using movement quantification of patients’ skeletons detected automatically with OpenPose in outpatient videos. Eleven skeleton parameter series were calculated from the detected skeleton sequence, and the corresponding 33 features were extracted using autocorrelation and variance analysis. This study enrolled 25 patients with ADHD. The outpatient videos were recorded before and after medication treatment. Statistical analysis indicated that four features corresponding to the first autocorrelation coefficients of the original series of four skeleton parameters and 11 features each corresponding to the first autocorrelation coefficients of the differenced series and the averaged variances of the original series of 11 skeleton parameters significantly decreased after the use of methylphenidate, an ADHD medication. The results revealed that the proposed approach can support physicians as an objective and automatic tool for evaluating the therapeutic effects of medication on patients with ADHD.
format Online
Article
Text
id pubmed-8431492
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-84314922021-09-11 Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis Ouyang, Chen-Sen Chiu, Yi-Hung Chiang, Ching-Tai Wu, Rong-Ching Lin, Ying-Tong Yang, Rei-Cheng Lin, Lung-Chang Int J Environ Res Public Health Article Attention-deficit/hyperactivity disorder (ADHD) is the most common neuropsychiatric disorder in children. Several scales are available to evaluate ADHD therapeutic effects, including the Swanson, Nolan, and Pelham (SNAP) questionnaire, the Vanderbilt ADHD Diagnostic Rating Scale, and the visual analog scale. However, these scales are subjective. In the present study, we proposed an objective and automatic approach for evaluating the therapeutic effects of medication in patients with (ADHD). The approach involved using movement quantification of patients’ skeletons detected automatically with OpenPose in outpatient videos. Eleven skeleton parameter series were calculated from the detected skeleton sequence, and the corresponding 33 features were extracted using autocorrelation and variance analysis. This study enrolled 25 patients with ADHD. The outpatient videos were recorded before and after medication treatment. Statistical analysis indicated that four features corresponding to the first autocorrelation coefficients of the original series of four skeleton parameters and 11 features each corresponding to the first autocorrelation coefficients of the differenced series and the averaged variances of the original series of 11 skeleton parameters significantly decreased after the use of methylphenidate, an ADHD medication. The results revealed that the proposed approach can support physicians as an objective and automatic tool for evaluating the therapeutic effects of medication on patients with ADHD. MDPI 2021-09-04 /pmc/articles/PMC8431492/ /pubmed/34501952 http://dx.doi.org/10.3390/ijerph18179363 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ouyang, Chen-Sen
Chiu, Yi-Hung
Chiang, Ching-Tai
Wu, Rong-Ching
Lin, Ying-Tong
Yang, Rei-Cheng
Lin, Lung-Chang
Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis
title Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis
title_full Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis
title_fullStr Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis
title_full_unstemmed Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis
title_short Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis
title_sort evaluating therapeutic effects of adhd medication objectively by movement quantification with a video-based skeleton analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431492/
https://www.ncbi.nlm.nih.gov/pubmed/34501952
http://dx.doi.org/10.3390/ijerph18179363
work_keys_str_mv AT ouyangchensen evaluatingtherapeuticeffectsofadhdmedicationobjectivelybymovementquantificationwithavideobasedskeletonanalysis
AT chiuyihung evaluatingtherapeuticeffectsofadhdmedicationobjectivelybymovementquantificationwithavideobasedskeletonanalysis
AT chiangchingtai evaluatingtherapeuticeffectsofadhdmedicationobjectivelybymovementquantificationwithavideobasedskeletonanalysis
AT wurongching evaluatingtherapeuticeffectsofadhdmedicationobjectivelybymovementquantificationwithavideobasedskeletonanalysis
AT linyingtong evaluatingtherapeuticeffectsofadhdmedicationobjectivelybymovementquantificationwithavideobasedskeletonanalysis
AT yangreicheng evaluatingtherapeuticeffectsofadhdmedicationobjectivelybymovementquantificationwithavideobasedskeletonanalysis
AT linlungchang evaluatingtherapeuticeffectsofadhdmedicationobjectivelybymovementquantificationwithavideobasedskeletonanalysis