CAREER: CodeBlue: A Wireless Sensor Network Infrastructure for Medical Applications

这个CAREER项目正在开发用于医疗保健应用的无线传感器网络基础设施。 传感器网络有可能对医疗保健的许多方面产生巨大影响。在医院或诊所，为每位患者配备无线生命体征传感器将使医生和护士能够持续监测患者的状态。 在紧急情况下，同样的技术使医务人员能够照顾大量的伤员。该项目涉及一个强大的，可扩展的软件平台的医疗传感器网络，称为CodeBlue，它提供了设备发现，发布/订阅多跳路由协议，并允许医护人员从患者组请求数据的查询接口。CodeBlue专注于解决大型无线医疗传感器网络的鲁棒性和可扩展性的挑战。由于有限的无线电带宽、高度可变的数据速率以及对医疗传感器的广泛可靠性要求，有必要开发能够调整网络提供的带宽和数据质量的技术。该项目正在开发一套小型、无线、可穿戴医疗传感器;自适应、跨层的服务质量和拥塞管理方法;以及跨多个患者传感器分析和融合数据的技术。通过该项目进行的研究将对未来医疗传感技术的发展产生重大影响。该项目与多家医院和医学研究小组合作，正在真实的临床环境中评估CodeBlue系统，包括大规模灾难应对、监测中风患者康复以及了解药物治疗对帕金森病的影响。

This CAREER project is developing a wireless sensor network infrastructure for medical care applications. Sensor networks have the potential for enormous impact on many aspects of medical care. In a hospital or clinic, outfitting every patient with wireless vital sign sensors will allow doctors and nurses to continuously monitor the status of their patients. In an emergency scenario, the same technology enables medics to care for large numbers of casualties. This project involves the development of a robust, scalable software platform for medical sensor networks, called CodeBlue, which provides protocols for device discovery, publish/subscribe multihop routing, and a query interface allowing caregivers to request data from groups of patients.CodeBlue is focused on addressing the challenges of robustness and scalability of large networks of wireless medical sensors. With limited radio bandwidth, highly variable data rates, and a broad range of reliability requirements for medical sensors, it is necessary to develop techniques that can tune the bandwidth and data quality delivered by the network. This project is developing a suite of small, wireless, wearable medical sensors; adaptive, cross-layer approaches to quality-of-service and congestion management; and techniques for analyzing and fusing data across multiple patient sensors. The research undertaken through this project will have significant impact on the development of future medical sensing technologies. In collaboration with several hospitals and medical research groups, this project is evaluating the CodeBlue system in real clinical settings, including large-scale disaster response, monitoring stroke patient rehabilitation, and understanding the effects of medication on Parkinson's Disease.