Spontaneous movements in the newborns: a tool of quantitative video analysis of preterm babies
Spontaneous movements in the newborns: a tool of quantitative video analysis of preterm babies
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新生儿自发运动：早产儿定量视频分析工具
DOI：
10.1016/j.cmpb.2020.105838
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发表时间：
2020
影响因子：
6.1
通讯作者：
M. Casadio
中科院分区：
文献类型：
--
作者：
C. Tacchino;M. Impagliazzo;E. Maggi;M. Bertamino;I. Blanchi;F. Campone;Paola Durand;M. Fato;P. Giannoni;Riccardo Iandolo;M. Izzo;P. Morasso;P. Moretti;L. Ramenghi;K. Shima;Koji Shimatani;T. Tsuji;S. Uccella;M. Casadio
背景和目的：世界范围内早产儿的数量正在稳步增长，这些新生儿面临神经运动认知缺陷的风险。对婴儿头三个月的自发运动的观察可以预测这种风险。然而，由受过专门训练的物理治疗师进行的分析并不适合临床常规，这促使了简单的计算机视频分析系统的发展，并与结构良好的生物样本库相结合，为早产儿提供越来越多的诊断、预后和流行病学服务。方法：MIMAS（无标记婴儿运动分析系统）是一种简单、低成本的新生儿在自然环境中自发运动的视频分析系统，基于单个标准RGB摄像机，不需要在身体上附加标记。将原始视频转换为突出婴儿轮廓的二值化序列，以最大限度地减少光照影响，增加分析的鲁棒性；这样的序列然后由一组与轮廓的空间和光谱变化相关的参数（39）编码。每个婴儿的参数载体连同相关临床信息一起保存在Biobank中。结果：该系统在热那亚Gaslini儿科医院进行了初步测试，在出生时（T0）和出生后8-12周（T1）分别记录了46例早产儿（PT）和21例足月婴儿（FT）（作为对照）。对数据的简单统计分析表明，编码参数对新生儿的成熟程度（比较T0和T1， PT和FT婴儿）和出生条件（T0时PT和FT）很敏感，而这种差异在T1时趋于消失。此外，编码方法似乎也能够检测出PT人群中少数“异常”的早产儿，这些早产儿被分析为具体的案例研究。结论：初步结果促使在临床实践中采用该工具，允许在Biobank中系统地积累病例，从而提高MIMAS进行数据分析的准确性，并最终允许采用数据挖掘技术。
Background and Objectives:The number of preterm babies is steadily growing world-wide and these neonates are at risk of neuro-motor-cognitive deficits. The observation of spontaneous movements in the first three months of age is known to predict such risk. However, the analysis by specifically trained physiotherapists is not suited for the clinical routine, motivating the development of simple computerized video analysis systems, integrated with a well-structured Biobank to make available for preterm babies a growing service with diagnostic, prognostic and epidemiological purposes.Methods:MIMAS (Markerless Infant Movement Analysis System) is a simple, low-cost system of video analysis of spontaneous movements of newborns in their natural environment, based on a single standard RGB camera, without markers attached to the body. The original videos are transformed into binarized sequences highlighting the silhouette of the baby, in order to minimize the illumination effects and increase the robustness of the analysis; such sequences are then coded by a large set of parameters (39) related to the spatial and spectral changes of the silhouette. The parameter vectors of each baby were stored in the Biobank together with related clinical information.Results:The preliminary test of the system was carried out at the Gaslini Pediatric Hospital in Genoa, where 46 preterm (PT) and 21 full-term (FT) babies (as controls) were recorded at birth (T0) and 8-12 weeks thereafter (T1). A simple statistical analysis of the data showed that the coded parameters are sensitive to the degree of maturation of the newborns (comparing T0 with T1, for both PT and FT babies), and to the conditions at birth (PT vs. FT at T0), whereas this difference tends to vanish at T1. Moreover, the coding method seems also able to detect the few ‘abnormal’ preterm babies in the PT populations that were analyzed as specific case studies.Conclusions:Preliminary results motivate the adoption of this tool in clinical practice allowing for a systematic accumulation of cases in the Biobank, thus for improving the accuracy of data analysis performed by MIMAS and ultimately allowing the adoption of data mining techniques.
影响因子：
9.8
作者：
Fanaroff, Avroy A;Stoll, Barbara J;Poole, W Kenneth
通讯作者：
Poole, W Kenneth