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Movidea:一款用于对有神经发育障碍风险的婴儿运动进行自动视频分析的软件包。

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

作者信息

Baccinelli Walter, Bulgheroni Maria, Simonetti Valentina, Fulceri Francesca, Caruso Angela, Gila Letizia, Scattoni Maria Luisa

机构信息

R&D, Department, Ab.Acus srl, via F. Caracciolo 77, 20155 Milano, Italy.

Research Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.

出版信息

Brain Sci. 2020 Mar 31;10(4):203. doi: 10.3390/brainsci10040203.

Abstract

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.

摘要

早期检测神经发育障碍的存在对治疗效果起着重要作用。在本文中,我们提出了一种使用婴儿单摄像头视频记录来提取运动特征的新型工具。开发了Movidea软件,以便操作员在自由移动条件下跟踪婴儿末端执行器的运动并自动提取运动特征。不同的操作员使用Movidea分析一组视频记录并评估其性能。结果表明,Movidea的性能不会因操作员而异,并且在家用视频记录中的跟踪也很稳定。即使该设置允许进行二维分析,运动的大部分信息内容也得以保留。所提取测量值和特征的可靠性以及易用性,可能会促进所提出的解决方案在临床环境中的应用。Movidea通过基于可靠数据提供客观测量,克服了目前临床实践中早期检测神经发育障碍的局限性,并通过非侵入性技术为婴儿的运动分析增添了一种新工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc19/7226155/f6899be3b6fe/brainsci-10-00203-g001.jpg

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