运动识别技术在评估早产儿自发性全身运动中的应用

Application of movement recognition technology in assessing spontaneous general movements in preterm infants

早产是导致高危儿神经发育障碍尤其是发展为脑性瘫痪的重要原因,早期识别可能存在的神经发育损伤对于早期干预、改善早产儿的神经发育结局尤为重要。全身运动(GMs)评估是目前临床用于高危儿神经发育结局尤其是运动发育结局预测的重要工具。运动识别技术运用计算机化的方法,能有效地对相关肢体运动进行持续追踪和客观定量评估;研究者正在广泛探索针对脑瘫高危儿自发性全身运动的不同记录和分析方法。该文对GMs评估方法进行总结,并对通过运动识别技术评估早产儿自发性全身运动的转化研究进行综述。

Preterm birth is a major factor which induces neurological and motor impairments, particularly cerebral palsy, in high-risk infants. Early identification of potential neurodevelopmental impairments provides the opportunity to improve neurodevelopmental outcomes in preterm infants through early rehabilitation interventions. Clinically, the general movement assessment is a pivotal tool to predict neurodevelopmental outcomes, especially motor developmental outcomes, in high-risk infants. Movement recognition can continuously capture relevant limb movements and perform objective and quantitative assessment using computerized approaches. Various methods of recording and analyzing spontaneous general movements for infants at a risk of cerebral palsy have been extensively explored. This article summarizes the general movement assessment method and reviews the translational research on using movement recognition technology for the assessment of spontaneous general movements of preterm infants.