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

老龄化人口的增长和对高质量医疗保健需求的增加导致了显著的 现有医疗系统和医院设施负担过重。更高效地部署医疗保健 护理资源和卫生保健消费者偏好决定了增加安全有效地提供 传统医院或医疗诊所以外的医疗服务。电子健康(EHealth)已被提出 通过整合先进的信息处理和通信技术，这是一种很有前途的范例。 由于缺乏专用频谱，网络容量有限，以及患者之间潜在的竞争 资源，实现端(患者)到端(远程中心)的可靠数据传输对于 实施电子健康系统。 拟议的项目将解决公司特定的问题，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。建议数 研究解决了在以下领域提供优先敏感医疗数据的重大和技术挑战问题 竞争的存在。特别是，本项目将首先引入一种基于定价的资源共享 架构实现了基于医疗信号重要性的医疗级优先，进而开发 静态定价和动态定价下基于博弈论的两种资源共享方案 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 应用程序，即使在竞争激烈的网络方案中也是如此。预计这方面的研究成果 研究将在未来的发展中进一步增强动脉硬化公司(ASI)的实力 用于更有效地诊断动脉僵硬和其他一般疾病的电子健康和体面协议中的技术 健康应用程序。这一尖端研究还将使新产品的开发成为可能 培育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.