Reliable Medical Data Transmission over Beyond-WBAN Communications in eHealth Systems

人口老龄化的增长和对高质量医疗保健需求的增加导致了重大的 对现有医疗系统和医院设施的超负荷负担。更有效地部署卫生 护理资源和医疗保健消费者偏好决定了增加安全有效交付的趋势 传统医院或卫生保健诊所环境之外的护理。电子健康（eHealth） 作为一个有前途的范例，通过整合先进的信息处理和通信技术。 由于缺乏专用频谱，网络容量有限，以及患者之间的潜在竞争， 资源，实现端（患者）到端（远程中心）的可靠数据传输对于 实施电子卫生系统。 拟议项目将解决公司特有的问题，以获得可靠和优先的信息 在网关（患者）和基站之间的无线电子健康系统中传播。拟议 研究解决了在提供优先级敏感的医疗数据方面的重大和技术挑战性问题， 竞争的存在。特别是，本项目将首先引入基于定价的资源共享 架构，实现基于医疗信号重要性的医疗级优先级，然后开发 基于博弈论的方法，分别在静态定价和动态定价下， 场景 该项目将开发对普及医疗至关重要的网络协议和控制算法 即使是在竞争激烈的网络环境中。预计本研究的成果 这项研究将进一步加强动脉僵硬公司的实力。(ASI)在其未来发展中 电子健康技术和体面的协议，以更有效地诊断动脉僵硬和其他一般 健康应用。这项尖端研究还将使新产品的开发， 培养加拿大医疗保健行业在国际市场上的重要竞争优势。

The growth of aging population and the increasing demand for high quality healthcare result in significant burden of overload on existing medical systems and hospital facilities. More efficient deployment of health care resources and health care consumer preferences dictate a trend to increased safe and effective delivery of care outside of traditional hospital or health care clinics settings. Electronic Health (eHealth) has been proposed as a promising paradigm by integrating advanced information processing and communication technologies. Due to lack of dedicated spectrum, limited network capacity, and potential competition among patients for resources, achieving reliable data transmission end (patient) to end (remote center) is critical for the implementation of eHealth systems. The proposed project will address company-specific problem to achieve reliable and prioritized information dissemination in wireless eHealth systems between gateways (patients) and base stations. The proposed research addresses significant and technically challenging issues in delivering priority-sensitive medical data in the presence of competition. In particular, this project will first introduce a pricing-based resource-sharing architecture to achieve medical-grade priority based on the importance of medical signals, and then develop two resource-sharing schemes based on game theory approaches under both the static and dynamic pricing scenarios. The project will develop networking protocols and control algorithms critical for pervasive medical applications, even in a highly competitive network scenario. It is expected that the research outcomes of this study will further enhance the strength of Arterial Stiffness Inc. (ASI) in their development of future technologies in eHealth and decent protocols for more efficient diagnoses of arterial stiffness and other general health applications. This cutting-edge research will also enable the development of new products that will foster a vital competitive edge for Canadian healthcare industry in the international market place.