SHB: Type I (EXP): Collaborative Research: Heterogeneous Large-Scale Telemedicine for Cardiology Patients

远程医疗技术提供了频繁监测患者健康状况和优化慢性病管理的机会。鉴于家庭远程医疗技术的多样性，有必要通过系统系统为更大的患者群体构建异构远程医疗组件和系统。本研究的目的是彻底调查心脏病患者大规模远程医疗系统的异质性。为了完成这一任务，本研究旨在开发（i）一种新颖的开源平台医疗设备接口适配器，可以将符合互操作性标准（例如 IEEE 11703）的医疗设备无缝互连到智能手机，以进行实时数据处理和传输； (ii) 一套用于无线网络、数据存储和数据完整性检查的新颖支持技术，以及 (iii) 一个基于学习的早期预警系统，可根据医疗设备读数和背景自适应地改变患者和疾病模型。心血管疾病是美国的一个主要健康问题，也是导致死亡的主要原因。该项目开发的远程医疗技术有可能以较低的医疗社区成本显着提高家庭医疗保健的质量。这项研究清楚地了解了如何解决远程医疗系统中的异构性问题，从而能够以低成本有效地组合和互连各个远程医疗组件。对于开发人员来说，这项研究显着降低了构建可互操作的大型远程医疗系统的设计和开发成本。研究内容正在融入本科生、研究生系统课程、临床医生培训课程以及高中研究项目。

Telemedicine technologies offer the opportunity to frequently monitor patients' health and optimize management of chronic illnesses. Given the diversity of home telemedicine technologies, it is essential to compose heterogeneous telemedicine components and systems for a much larger patient population through systems of systems. The objective of this research is to thoroughly investigate the heterogeneity in large-scale telemedicine systems for cardiology patients. To accomplish this task, this research seeks to develop (i) a novel open source platform medical device interface adapter that can seamlessly interconnect medical devices that conform to interoperability standards, such as IEEE 11703, to smart phones for real-time data processing and delivery; (ii) a set of novel supporting technologies for wireless networking, data storage, and data integrity checking, and (iii) a learning-based early warning system that adaptively changes patient and disease models based on medical device readings and context.Cardiovascular disease is a major health problem and the leading cause of death in the United States. Telemedicine technologies developed in this project have the potential to dramatically improve the quality of home health care with low cost for medical community. This research acquires a clear understanding of how to address heterogeneity issues in telemedicine systems, which allows effectively compose and interconnect individual telemedicine components together with low cost. For developers, this research significantly reduces the design and development costs for building interoperable large-scale telemedicine systems. The research content is being integrated into undergraduate, graduate system courses, clinician training course as well as high school research projects.