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Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders

Early detecting the presence of neurodevelopmental disorders plays an important role in the effectiveness of the treatment. In this paper, we present a novel tool to extract motion features using single camera video recordings of infants. The Movidea software was developed to allow the operator to t...

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Autores principales: Baccinelli, Walter, Bulgheroni, Maria, Simonetti, Valentina, Fulceri, Francesca, Caruso, Angela, Gila, Letizia, Scattoni, Maria Luisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226155/
https://www.ncbi.nlm.nih.gov/pubmed/32244544
http://dx.doi.org/10.3390/brainsci10040203
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author Baccinelli, Walter
Bulgheroni, Maria
Simonetti, Valentina
Fulceri, Francesca
Caruso, Angela
Gila, Letizia
Scattoni, Maria Luisa
author_facet Baccinelli, Walter
Bulgheroni, Maria
Simonetti, Valentina
Fulceri, Francesca
Caruso, Angela
Gila, Letizia
Scattoni, Maria Luisa
author_sort Baccinelli, Walter
collection PubMed
description Early detecting the presence of neurodevelopmental disorders plays an important role in the effectiveness of the treatment. In this paper, we present a novel tool to extract motion features using single camera video recordings of infants. The Movidea software was developed to allow the operator to track the movement of end-effectors of infants in free moving conditions and extract movement features automatically. Movidea was used by different operators to analyze a set of video recordings and its performance was evaluated. The results showed that Movidea performance did not vary with the operator, and the tracking was also stable in home-video recordings. Even if the setup allowed for a two-dimensional analysis, most of the informative content of the movement was maintained. The reliability of the measures and features extracted, as well as the easiness of use, may boost the uptake of the proposed solution in clinical settings. Movidea overcomes the current limitation in the clinical practice in early detection of neurodevelopmental disorders by providing objective measures based on reliable data, and adds a new tool for the motor analysis of infants through unobtrusive technology.
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spelling pubmed-72261552020-05-18 Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders Baccinelli, Walter Bulgheroni, Maria Simonetti, Valentina Fulceri, Francesca Caruso, Angela Gila, Letizia Scattoni, Maria Luisa Brain Sci Article Early detecting the presence of neurodevelopmental disorders plays an important role in the effectiveness of the treatment. In this paper, we present a novel tool to extract motion features using single camera video recordings of infants. The Movidea software was developed to allow the operator to track the movement of end-effectors of infants in free moving conditions and extract movement features automatically. Movidea was used by different operators to analyze a set of video recordings and its performance was evaluated. The results showed that Movidea performance did not vary with the operator, and the tracking was also stable in home-video recordings. Even if the setup allowed for a two-dimensional analysis, most of the informative content of the movement was maintained. The reliability of the measures and features extracted, as well as the easiness of use, may boost the uptake of the proposed solution in clinical settings. Movidea overcomes the current limitation in the clinical practice in early detection of neurodevelopmental disorders by providing objective measures based on reliable data, and adds a new tool for the motor analysis of infants through unobtrusive technology. MDPI 2020-03-31 /pmc/articles/PMC7226155/ /pubmed/32244544 http://dx.doi.org/10.3390/brainsci10040203 Text en © 2020 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
Baccinelli, Walter
Bulgheroni, Maria
Simonetti, Valentina
Fulceri, Francesca
Caruso, Angela
Gila, Letizia
Scattoni, Maria Luisa
Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders
title Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders
title_full Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders
title_fullStr Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders
title_full_unstemmed Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders
title_short Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders
title_sort movidea: a software package for automatic video analysis of movements in infants at risk for neurodevelopmental disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226155/
https://www.ncbi.nlm.nih.gov/pubmed/32244544
http://dx.doi.org/10.3390/brainsci10040203
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