The future of mobile health ADHD applications

The future of mobile health ADHD applications
复制标题

移动健康 ADHD 应用的未来

DOI:
10.1109/imctl.2015.7359603
复制
发表时间:
2015
期刊:
2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)
影响因子:
--
通讯作者:
P. Bamidis
P. Bamidis
中科院分区:
--
文献类型:
--
作者:
N. Pandria;D. Spachos;P. Bamidis

文献摘要

参考文献

被引文献

相似文献

注意力缺陷多动障碍(ADHD)是影响儿童的最常见疾病之一。诊断和认知行为治疗方法是基于儿童的行为评估,通过笔和笔和纸的程序。许多移动的应用程序不仅被设计用于取代传统方法,而且还提供更准确,客观,直接和可靠的记录,更好地管理ADHD症状,有关ADHD的教育和培训,甚至用于ADHD诊断的工具。WHAAM应用程序通过虚拟网络提供了以智能方式(具体,可测量,可测量,现实和及时)监控行为的功能。换句话说,创建一个参与儿童护理的人(父母,教育工作者,卫生专业人员,亲属)的网络,WHAAM应用程序允许在行为发生时收集数据,并提供有关其内容和环境的信息。随后,所收集的数据被可视化和评估,使得相关的健康专业人员能够进行干预规划和编程。此外,WHAAM应用程序提供了评估干预效果的工具。然而,随着新兴技术来促进医疗保健服务,有必要不断挑战和进步。因此,通过先进的传感器和大数据中心的存储来收集更多的健康数据可能是未来移动健康应用的新挑战。
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common disorders that affect children. The diagnosis and the Cognitive-Behavioral treatment approaches are based on child's behavioral assessment through pen and pen-and-paper procedures. A number of mobile applications have been designed not only to replace traditional methods but also to provide more accurate, objective, direct and reliable recordings, better management of ADHD symptoms, education and training about the ADHD or even tools for ADHD diagnosis. The WHAAM application through a virtual network provides features to monitor behaviors in a SMART way (Specific, Measurable, Attainable, Realistic and Timely). In other words, creating a network of people involved in child's care (parents, educators, health professionals, relatives), WHAAM app allows data collection when the behavior occurs accompanied by information about its content and environment. Subsequently, gathered data is visualized and evaluated making possible an intervention planning and programming by the involved health professional. Additionally, the WHAAM app provides tools for evaluation of intervention efficacy. However, as emerging technologies came to facilitate healthcare delivery, there is a need for a continuous challenging and progress. Therefore, additional health data collection through advanced sensors and storage in big data hubs might be the new challenge of the future m-health applications.
DOI: 10.1016/j.amepre.2013.03.017
发表时间: 2013-08
影响因子: 5.5
作者:
Kumar, Santosh;Nilsen, Wendy J.;Abernethy, Amy;Atienza, Audie;Patrick, Kevin;Pavel, Misha;Riley, William T.;Shar, Albert;Spring, Bonnie;Spruijt-Metz, Donna;Hedeker, Donald;Honavar, Vasant;Kravitz, Richard;Lefebvre, R. Craig;Mohr, David C.;Murphy, Susan A.;Quinn, Charlene;Shusterman, Vladimir;Swendeman, Dallas
通讯作者: Swendeman, Dallas
DOI: 10.1001/archpsyc.1997.01830210113015
发表时间: 1997
影响因子: --
作者:
Arnold,LE;Abikoff,HB;Cantwell,DP;Conners,CK;Elliott,G;Greenhill,LL;Hechtman,L;Hinshaw,SP;Hoza,B;Jensen,PS;Kraemer,HC;March,JS;Newcorn,JH;Pelham,WE;Richters,JE;Schiller,E;Severe,JB;Swanson,JM;Vereen,D;Wel
通讯作者: Wel