EXPLORING CHALLENGES OF MONITORING TECHNOLOGY AND SELF-INJURIOUS BEHAVIOR IN AUTISM SPECTRUM DISORDER

机译：自闭症谱系障碍监测技术和自残行为的探索挑战

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Self-injurious behavior (SIB), such as head banging orself-hitting, is considered one of the most dangerouscharacteristics of autism spectrum disorder (ASD) (Mahatmya,Zobel, & Valdovinos, 2008). Clinicians traditionally rely onstructured observation, which can be time-consuming andinvasive. Recent technological developments in motiontracking may decrease these burdens. For example,accelerometers in smart watches can gather movementinformation, which could be automatically classified to detectand predict events associated with SIB using machine learningalgorithms. While such systems have clear potential toobjectively, accurately, and efficiently monitor and predictSIB, this potential will not be fully realized unless devices areadopted and integrated into clinics and homes.

机译：自残行为（SIB），例如撞头或\ r \ n自拍，被认为是自闭症谱系障碍（ASD）最危险的\ r \ n特征之一（Mahatmya，\ r \ nZobel和Valdovinos，2008年））。传统上，临床医生依赖于结构化的观察，这可能既费时又无创。运动跟踪方面的最新技术发展可能会减轻这些负担。例如，智能手表中的加速度计可以收集运动信息，该信息可以自动分类以检测\ r \ n并使用机器学习\ r \算法来预测与SIB相关的事件。尽管这样的系统具有客观，准确，有效地监视和预测SIB的明显潜力，但是除非将设备过时并集成到诊所和家庭中，否则这种潜力将无法完全实现。

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《Proceedings of the Human Factors and Ergonomics Society 2018 annual meeting》|2018年|620-621|共2页
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Kristine Cantin-Garside; Rupa S. Valdez; Maury A. Nussbaum; Susan White; Sunwook Kim; Chung Do Kim; Diogo M. G. Fortes;
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Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA;

University of Virginia, Charlottesville, Virginia, USA;

Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA;

Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA;

Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA;

University of Virginia, Charlottesville, Virginia, USA;

University of Virginia, Charlottesville, Virginia, USA;

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1. Self-injurious behaviors in children with autism spectrum disorder enrolled in the Study to Explore Early Development [J] . Soke Gnakub Norbert, Rosenberg Steven A., Rosenberg Cordelia Robinson, Autism : . 2018,第5期

机译：患有自闭症谱系疾病的自我伤害行为，注册研究探索早期发展
2. Advances in developmental neuropsychiatry: autism spectrum disorder, Cornelia De Lange syndrome, self-injurious behavior, Down syndrome, fetal alcohol spectrum disorder, and borderline intellectual functioning [J] . Harris James C. Current opinion in psychiatry . 2017,第2期

机译：发育性神经精神病学的进展：自闭症谱系障碍，康塞菊属de lange综合征，自我伤害行为，唐氏综合征，胎儿酒精谱紊乱和边界知识分子
3. Brief Report: Self-Injurious Behaviors in Preschool Children with Autism Spectrum Disorder Compared to Other Developmental Delays and Disorders [J] . Soke G. N., Rosenberg S. A., Rosenberg C. R., Journal of autism and developmental disorders . 2018,第7期

机译：简要介绍：与其他发育延误相比，学龄前儿童儿童的自我伤害行为与其他发育延误相比
4. EXPLORING CHALLENGES OF MONITORING TECHNOLOGY AND SELF-INJURIOUS BEHAVIOR IN AUTISM SPECTRUM DISORDER [C] . Kristine Cantin-Garside, Rupa S. Valdez, Maury A. Nussbaum, Human Factors and Ergonomics Society annual meeting . 2018

机译：探讨自闭症谱系障碍监测技术及自我伤害行为的挑战
5. Self-Injurious Behavior and Comorbidities in Children with Autism Spectrum Disorder [D] . Lawrence, Jacqueline. 2018

机译：自闭症谱系障碍儿童的自残行为和合并症
6. Self-injurious behaviors in children with autism spectrum disorder enrolled in the Study to Explore Early Development [O] . Gnakub Norbert Soke, Steven A Rosenberg, Cordelia Robinson Rosenberg, -1

机译：研究自闭症谱系障碍儿童的自残行为以探索早期发育
7. Multi-level modeling with nonlinear movement metrics to classify self-injurious behaviors in autism spectrum disorder [O] . Kristine D. Cantin-Garside, Divya Srinivasan, Shyam Ranganathan, 2020

机译：具有非线性运动指标的多级模型，对自闭症谱系障碍的自我伤害行为进行分类

EXPLORING CHALLENGES OF MONITORING TECHNOLOGY AND SELF-INJURIOUS BEHAVIOR IN AUTISM SPECTRUM DISORDER

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