UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety

UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety
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UVM KID 研究:识别多模式特征并优化可穿戴仪器以检测儿童焦虑

DOI:
10.1109/embc48229.2022.9871090
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发表时间:
2022
期刊:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC
影响因子:
--
通讯作者:
McGinnis, Ryan S.
McGinnis, Ryan S.
中科院分区:
--
文献类型:
--
作者:
Loftness, Bryn C.;Halvorson-Phelan, Julia;O'Leary, Aisling;Cheney, Nick;McGinnis, Ellen W.;McGinnis, Ryan S.

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焦虑和抑郁,统称为内化障碍,早在学龄前就开始了,每5个孩子中就有1个受到影响。如果未得到诊断和治疗,儿童内化障碍预示着后来的健康问题,包括药物滥用、共病精神病理的发展、自杀风险增加和严重的功能障碍。目前的诊断程序需要获得临床专家的帮助,需要相当长的时间才能完成,并且固有地假设儿童症状是由护理人员观察到的。多模态可穿戴传感器可以促进快速护理点诊断的发展,以应对这些挑战。在我们之前工作的基础上,我们提出了一个评估电池,用于开发幼儿内化障碍的数字表型,并对来自两名参与者的多模态可穿戴传感器数据进行了早期可行性案例研究,其中一名参与者已被临床诊断为内化障碍。结果表明,在短时间应激诱导任务中,骶骨运动反应和R-R间隔可能有助于儿童的诊断。测量胸部和斜方肌运动和表面生物电位的多模态传感器也显示出显著的冗余,这为传感器优化带来了潜力。未来的工作旨在进一步优化传感器的放置、信号、特征和评估,以便在临床实践中部署。临床相关性-这项工作考虑了技术的发展和优化,以提高内化障碍儿童的识别。
Anxiety and depression, collectively known as internalizing disorders, begin as early as the preschool years and impact nearly 1 out of every 5 children. Left undiagnosed and untreated, childhood internalizing disorders predict later health problems including substance abuse, development of comorbid psychopathology, increased risk for suicide, and substantial functional impairment. Current diagnostic procedures require access to clinical experts, take considerable time to complete, and inherently assume that child symptoms are observable by caregivers. Multi-modal wearable sensors may enable development of rapid point-of-care diagnostics that address these challenges. Building on our prior work, here we present an assessment battery for the development of a digital phenotype for internalizing disorders in young children and an early feasibility case study of multi-modal wearable sensor data from two participants, one of whom has been clinically diagnosed with an internalizing disorder. Results lend support that sacral movement responses and R-R interval during a short stress-induction task may facilitate child diagnosis. Multi-modal sensors measuring movement and surface biopotentials of the chest and trapezius are also shown to have significant redundancy, introducing the potential for sensor optimization moving forward. Future work aims to further optimize sensor placement, signals, features, and assessments to enable deployment in clinical practice. Clinical Relevance— This work considers the development and optimization of technologies for improving the identification of children with internalizing disorders.
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