Aim

To systematically review the scientific literature to determine the predictive validity of technology-assisted measures of observable infant movement in infants less than six months of corrected age (CA) to identify high-risk of motor disability.

Method

A comprehensive search for randomised and non-randomised controlled trials, cohort studies and cross-comparison trials was performed on five electronic databases up to Feb 2021. Studies were included if they quantified infant movement before 6 months CA using some method of technology-assistance and compared the instrumented measure to a diagnostic clinical measure of neurodevelopment. Studies were excluded if they did not report a technology-assisted measure of infant movement. Methodological quality of the included studies was assessed using the Downs and Black scale.

Results

23 studies met the full inclusion and exclusion criteria. Methodological quality of the included papers ranged from 9 to 24 (out of 26) on the Downs and Black scale. Infant movement assessments included the General Movements Assessment (GMA) and domains of the Hammersmith Infant Neurological Assessment (HINE). Studies used 2D video recordings, RGB-Depth recordings, accelerometry, and electromagnetic motion tracking technologies to quantify movement. Analytical approaches and movement features of interest were individual and varied. Technology assisted quantitative assessments identified cases of later diagnosed CP with sensitivity 44–100 %, specificity 59–95 %, Area under the ROC Curve 82–93 %; and typical development with sensitivity range 30–46 %, specificity 88–95 %, Area under the ROC Curve 68 %.

Interpretation

Technology-assisted assessments of movement in infants less than 6 months CA using current technologies are feasible. Validation of measurement tools are limited. Although methods and results appear promising clinical uptake of technology-assisted assessments remains limited.

中文翻译：

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技术辅助的运动量化以预测运动障碍高风险的婴儿：系统评价

目的

系统地审查科学文献，以确定对矫正年龄 (CA) 不到 6 个月的婴儿的可观察婴儿运动的技术辅助测量的预测有效性，以确定运动障碍的高风险。

方法

对截至 2021 年 2 月的五个电子数据库进行了随机和非随机对照试验、队列研究和交叉比较试验的全面搜索。如果研究使用某种技术辅助和将仪器测量与神经发育的诊断临床测量进行了比较。如果研究没有报告婴儿运动的技术辅助测量，则被排除在外。使用 Downs 和 Black 量表评估纳入研究的方法学质量。

结果

23 项研究符合完整的纳入和排除标准。纳入论文的方法学质量在 Downs 和 Black 量表上从 9 到 24（总分 26）不等。婴儿运动评估包括一般运动评估 (GMA) 和哈默史密斯婴儿神经学评估 (HINE) 的领域。研究使用 2D 视频记录、RGB 深度记录、加速度计和电磁运动跟踪技术来量化运动。感兴趣的分析方法和运动特征是个性化的和多样的。技术辅助定量评估以 44–100% 的敏感性、59–95% 的特异性、82–93% 的 ROC 曲线下面积识别后来诊断出的 CP 病例；典型的发展，灵敏度范围 30-46%，特异性 88-95%，ROC 曲线下面积 68%。

解释

使用当前技术对小于 6 个月 CA 婴儿的运动进行技术辅助评估是可行的。测量工具的验证是有限的。尽管方法和结果看起来很有希望，但技术辅助评估的临床应用仍然有限。