BrainTracker: mHealth app for Remote Assessment of Pediatric Epilepsy and Comorbidities

2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH) Pub Date : 2020-08-01 DOI:10.1109/SeGAH49190.2020.9201850

K. Gary, M. Cole, Dipak Purbey, M. Lin, M. Berl, Chintan Jarawala, Sheetal Sohoni

{"title":"BrainTracker: mHealth app for Remote Assessment of Pediatric Epilepsy and Comorbidities","authors":"K. Gary, M. Cole, Dipak Purbey, M. Lin, M. Berl, Chintan Jarawala, Sheetal Sohoni","doi":"10.1109/SeGAH49190.2020.9201850","DOIUrl":null,"url":null,"abstract":"Children with chronic pediatric disorders are at increased risk for cognitive and psychosocial problems, but screening and monitoring for them is challenged by access to care and availability of sensitive psychosocial measures. We have developed a mobile health application (mHealth app) with tasks and surveys that target areas of functioning that are commonly at risk in children across medical disorders including attention, processing speed, socialization, anxiety, and depression. The design and implementation of this mHealth solution addresses several technical challenges in providing a usable platform for patients, parents and care providers. The end product is a point-of-care instrument that can quickly, easily, and reliably identify children that require additional assessment and/or intervention for the cognitive and psychosocial symptoms that they are at risk for, and rigorously quantify the diagnostic efficiency of mobile technology compared to standard clinical evaluation.","PeriodicalId":114954,"journal":{"name":"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SeGAH49190.2020.9201850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Children with chronic pediatric disorders are at increased risk for cognitive and psychosocial problems, but screening and monitoring for them is challenged by access to care and availability of sensitive psychosocial measures. We have developed a mobile health application (mHealth app) with tasks and surveys that target areas of functioning that are commonly at risk in children across medical disorders including attention, processing speed, socialization, anxiety, and depression. The design and implementation of this mHealth solution addresses several technical challenges in providing a usable platform for patients, parents and care providers. The end product is a point-of-care instrument that can quickly, easily, and reliably identify children that require additional assessment and/or intervention for the cognitive and psychosocial symptoms that they are at risk for, and rigorously quantify the diagnostic efficiency of mobile technology compared to standard clinical evaluation.

查看原文本刊更多论文

脑追踪器:移动健康应用程序远程评估儿童癫痫和合并症

患有慢性儿科疾病的儿童出现认知和社会心理问题的风险增加，但由于获得护理和提供敏感的社会心理措施，对他们的筛查和监测面临挑战。我们开发了一个移动健康应用程序(移动健康应用程序)，它的任务和调查针对的是儿童在医疗障碍中通常存在风险的功能领域，包括注意力、处理速度、社交、焦虑和抑郁。这个移动医疗解决方案的设计和实现解决了几个技术挑战，为患者、家长和护理提供者提供了一个可用的平台。最终产品是一种即时护理工具，可以快速、轻松、可靠地识别出需要额外评估和/或干预其认知和社会心理症状的儿童，并严格量化移动技术与标准临床评估相比的诊断效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)

自引率

0.00%

发文量