自闭症
心理健康
心理学
自闭症谱系障碍
应用心理学
协议(科学)
可穿戴计算机
移动应用程序
健康
社会化
随机对照试验
临床心理学
发展心理学
计算机科学
医学
心理治疗师
精神科
心理干预
替代医学
病理
嵌入式系统
外科
万维网
作者
Emma Palermo,Amanda V. Young,Sky Deswert,Alyssa Brown,Miranda Goldberg,Evan A. Sultanik,Jessica Tan,Carla A. Mazefsky,Lauren Brookman‐Frazee,James C. McPartland,Matthew S. Goodwin,Jeffrey W. Pennington,Steven C. Marcus,Rinad S. Beidas,David S. Mandell,Heather J. Nuske
摘要
As much as 80% of children on the autism spectrum exhibit challenging behaviors (ie, behaviors dangerous to the self or others, behaviors that interfere with learning and development, and behaviors that interfere with socialization) that can have a devastating impact on personal and family well-being, contribute to teacher burnout, and even require hospitalization. Evidence-based practices to reduce these behaviors emphasize identifying triggers (events or antecedents that lead to challenging behaviors); however, parents and teachers often report that challenging behaviors surface with little warning. Exciting recent advances in biometric sensing and mobile computing technology allow the measurement of momentary emotion dysregulation using physiological indexes.
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