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首页> 外文期刊>Journal of Autism and Developmental Disorders >Automated Detection of Stereotypical Motor Movements
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Automated Detection of Stereotypical Motor Movements

机译：自动检测定型运动

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摘要

To overcome problems with traditional methods for measuring stereotypical motor movements in persons with Autism Spectrum Disorders (ASD), we evaluated the use of wireless three-axis accelerometers and pattern recognition algorithms to automatically detect body rocking and hand flapping in children with ASD. Findings revealed that, on average, pattern recognition algorithms correctly identified approximately 90% of stereotypical motor movements repeatedly observed in both laboratory and classroom settings. Precise and efficient recording of stereotypical motor movements could enable researchers and clinicians to systematically study what functional relations exist between these behaviors and specific antecedents and consequences. These measures could also facilitate efficacy studies of behavioral and pharmacologic interventions intended to replace or decrease the incidence or severity of stereotypical motor movements.
机译：为了克服传统方法测量自闭症谱系障碍（ASD）患者的典型刻板运动的问题，我们评估了使用无线三轴加速度计和模式识别算法来自动检测患有ASD的儿童的身体摇摆和拍打动作。研究发现表明，平均而言，模式识别算法可以正确识别在实验室和教室环境中反复观察到的定型运动的大约90％。精确有效地记录定型运动的动作可以使研究人员和临床医生能够系统地研究这些行为与特定的前因和后果之间存在什么功能关系。这些措施还可以促进旨在取代或减少定型运动的发生或严重性的行为和药物干预措施的功效研究。

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