I/UCRC: Collaborative Research: Data Correlation and Fusion for Medical Monitoring

拟议项目的目标是为病人监测开发一个系统级框架。该框架旨在实现各种患者监护设备的互操作性;数据预处理和融合，以检测数据不一致性并确定会话和数据优先级;以及由实时优先级驱动的带宽自适应数据和视频传输。拟议的研究将导致协议的演变，可用于提供各种生理测量设备/传感器之间的互操作性，并将在许多医疗保健领域，如家庭医疗保健，术后护理，预防护理，成人护理和疗养院的应用。拟议工作的成果有可能影响医学科学，医疗保健和计算机科学，实现信息丰富的环境，医疗保健和结果可能会显着改善。这项工作得到了行业咨询委员会以及该中心的单个行业成员的支持，并有可能扩大该中心的投资组合。PI将使用已经建立的基于网络的数据传播工具TerraFly传播工作结果。

The proposed projects objective is to develop a system level framework for patient monitoring. This framework is intended to allow the interoperability of various patient monitoring devices; data preprocessing and fusion to detect the data inconsistencies and determine session and data prioritization; and bandwidth-adaptive data and video transmission driven by real-time prioritization. The proposed research will lead to the evolution of protocols that can be used for providing interoperability among various physiological measurement devices/sensors, and will have applications in numerous healthcare domains such as home healthcare, post-operative care, preventive care, adult care and nursing homes. The outcomes of the proposed work have the potential to impact the medical sciences, healthcare and computer science, enabling an information rich environment with which medical care and outcomes may be significantly improving. The work is supported by the Industry Advisory Board as well as an individual industry member of the center and has the potential to extend the centers portfolio. The PIs will disseminate the results of the work using the already established TerraFly web-based data dissemination tool.