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首页> 外文期刊>Physiotherapy theory and practice >Identification of fidgety movements and prediction of CP by the use of computer-based video analysis is more accurate when based on two video recordings
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Identification of fidgety movements and prediction of CP by the use of computer-based video analysis is more accurate when based on two video recordings

机译：当基于两个视频记录时，使用基于计算机的视频分析来识别烦躁不安的运动并预测CP会更准确

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摘要

This study evaluates the role of postterm age at assessment and the use of one or two video recordings for the detection of fidgety movements (FMs) and prediction of cerebral palsy (CP) using computer vision software. Recordings between 9 and 17 weeks postterm age from 52 preterm and term infants (24 boys, 28 girls; 26 born preterm) were used. Recordings were analyzed using computer vision software. Movement variables, derived from differences between subsequent video frames, were used for quantitative analysis. Sensitivities, specificities, and area under curve were estimated for the first and second recording, or a mean of both. FMs were classified based on the Prechtl approach of general movement assessment. CP status was reported at 2 years. Nine children developed CP of whom all recordings had absent FMs. The mean variability of the centroid of motion (CSD) from two recordings was more accurate than using only one recording, and identified all children who were diagnosed with CP at 2 years. Age at assessment did not influence the detection of FMs or prediction of CP. The accuracy of computer vision techniques in identifying FMs and predicting CP based on two recordings should be confirmed in future studies.
机译：这项研究评估了评估评估早产年龄的作用，以及使用计算机视觉软件使用一两个视频记录来检测坐立不安运动（FMs）和预测脑瘫（CP）的作用。使用了来自52名早产儿和足月儿（24名男孩，28名女孩; 26名出生的早产儿）的足月9至17周之间的记录。使用计算机视觉软件分析记录。从后续视频帧之间的差异得出的运动变量用于定量分析。估算第一次和第二次记录的敏感性，特异性和曲线下面积，或两者的平均值。 FM是根据Prechtl一般运动评估方法进行分类的。据报道，CP状态为2年。 9名儿童发展为CP，所有录音均没有FM。与仅使用一个记录相比，两次记录的运动质心（CSD）的平均变异性更为准确，并且可以识别出所有在2岁时被诊断出患有CP的儿童。评估年龄不影响FM的检测或CP的预测。在未来的研究中应确认计算机视觉技术在识别FM和基于两个记录预测CP方面的​​准确性。

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