早产儿的运动识别

doi:10.11852/zgetbjzz2017-25-02-13

摘要/Abstract

摘要： 早产是脑发育期的高危因素之一,且胎龄越小风险越高。早期识别其中具有发育障碍的早产儿是改善其预后的关键窗口。近年来,由于无创,操作简单等优点,全身运动评估成为了一个非常重要的工具,可用于高风险早产儿运动障碍的预测和随访。最初的全身运动评估是由经过专业培训的评估人员进行的一种视知觉的评估技术,没有可以客观进行描述的指标,而今借助计算机技术的发展推动了全身运动评估技术的进一步提升。现在的运动识别即通过计算机化的方法,借助设备捕捉和分析相关的肢体动作,专注于连续的、客观的、定量的评估。本文旨在介绍国外运动识别技术在早产儿评估中的研究和应用情况,以期这种客观的评估技术未来在国内得到更多的推广和认可,帮助更多的临床工作者把握早产儿干预的关键窗口。

关键词: 早产, 评估, 运动, 识别

Abstract: Preterm birth is associated with increased risks of neurological and motor impairments.The risks are highest in those born at the lowest gestations.Early identification of those most at risk is challenging meaning that a critical window of opportunity to improve outcomes through therapy-based interventions may be missed.Clinically,the assessment of spontaneous general movements is an important tool,which can be used for the prediction of movement impairments in high risk infants.Movement recognition aims to capture and analyze relevant limb movements through computerized approaches focusing on continuous,objective,and quantitative assessment.Different Methods of recording and analyzing infant movements have recently been explored in high risk infants.These range from camera-based solutions to body-worn miniaturized movement sensors used to record continuous time-series data that represent the dynamics of limb movements.This analysis has focused on the detection and classification of atypical spontaneous general movements.This article aims to identify recent translational studies using movement recognition technology as a Method of assessing movement in high risk infants.The application of this technology within pediatric practice represents a growing area of inter-disciplinary collaboration,which may lead to a greater understanding of the development of the nervous system in infants at high risk of motor impairment.

Key words: preterm birth, assessment, movement, recognition

中图分类号:

R179

王雨晴,朱萍综述,古桂雄审校. 早产儿的运动识别[J]. 中国儿童保健杂志, 2017, 25(2): 154-157.

WANG Yu-qing,ZHU Ping,GU Gui-xiong. Movement recognition technology in preterm infants[J]. journal1, 2017, 25(2): 154-157.

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