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

远程医疗技术提供了经常监测患者健康和优化慢性疾病管理的机会。鉴于家庭远程医疗技术的多样性，通过系统的系统为更大的患者群体组成异构远程医疗组件和系统至关重要。本研究的目的是深入调查大型远程医疗系统对心脏病患者的异质性。为了完成这项任务，本研究寻求开发(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（如IEEE 11703）的医疗设备无缝连接到智能手机，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型支持技术，以及（iii）基于学习的早期预警系统，该系统可根据医疗设备读数和环境自适应地改变患者和疾病模型。在美国，心血管疾病是一个主要的健康问题，也是导致死亡的主要原因。本项目开发的远程医疗技术有潜力以低成本大幅提高医疗界的家庭保健质量。本研究对如何解决远程医疗系统中的异构问题有了清晰的认识，从而可以低成本地有效地组合和互连各个远程医疗组件。对于开发人员来说，这项研究显著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。研究内容正在整合到本科、研究生系统课程、临床医师培训课程以及高中科研项目中。

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.