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自动化检测重复性运动行为作为智力和发育障碍的一种结果测量方法。

Automated Detection of Repetitive Motor Behaviors as an Outcome Measurement in Intellectual and Developmental Disabilities.

机构信息

RTI International, 3040 E. Cornwallis Road, Research Triangle Park, NC, 27709, USA.

Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA.

出版信息

J Autism Dev Disord. 2018 May;48(5):1458-1466. doi: 10.1007/s10803-017-3408-6.

DOI:10.1007/s10803-017-3408-6
PMID:29164446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5889956/
Abstract

Repetitive sensory motor behaviors are a direct target for clinical treatment and a potential treatment endpoint for individuals with intellectual or developmental disabilities. By removing the burden associated with video annotation or direct observation, automated detection of stereotypy would allow for longer term monitoring in ecologic settings. We report automated detection of common stereotypical motor movements using commercially available accelerometers affixed to the body and a generalizable detection algorithm. The method achieved a sensitivity of 80% for body rocking and 93% for hand flapping without individualized algorithm training or foreknowledge of subject's specific movements. This approach is well-suited for implementation in a continuous monitoring system outside of a clinical setting.

摘要

重复性感觉运动行为是临床治疗的直接目标,也是智力或发育障碍个体的潜在治疗终点。通过消除与视频注释或直接观察相关的负担,刻板行为的自动检测将允许在生态环境中进行更长期的监测。我们报告了使用附在身体上的商用加速度计和可推广的检测算法自动检测常见的刻板运动。该方法在不进行个体化算法训练或事先了解受试者特定运动的情况下,实现了对身体摇摆的 80%敏感性和对手臂拍打动作的 93%敏感性。这种方法非常适合在临床环境之外的连续监测系统中实施。

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本文引用的文献

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Genetic and environmental modulation of neurodevelopmental disorders: Translational insights from labs to beds.神经发育障碍的遗传和环境调节:从实验室到临床的转化见解
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Interval sampling methods and measurement error: a computer simulation.间隔抽样方法与测量误差:计算机模拟
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