课题基金 / 基金详情

Advanced Technology for Reliable and Secure Real-Time e-Healthcare Systems

Advanced Technology for Reliable and Secure Real-Time e-Healthcare Systems
用于可靠、安全的实时电子医疗系统的先进技术
批准号:
476676-2014
负责人:
Shen, Xuemin(Sherman)
金额:
$8.74万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
翻译
电子医疗保健是一种新兴的、有前景的解决方案,可基于先进的信息和通信技术,实现普及、精确和以患者为中心的医疗保健服务。借助可穿戴医疗设备的持续监控功能和云计算的知识推断功能,电子医疗保健可以大大提高服务效率并降低医疗成本,特别是对于外出和在家的人来说,这是对医院护理的补充。本研究项目的重点是获取和处理各种类型的生物医学信号和健康信息,用于电子医疗应用。它将开发一套新的工程解决方案,用于可靠、精确和连续的健康监测、诊断和预测,以及具有隐私保护的信息共享。重点研究开发精准可靠的生物传感器医疗信号采集算法、日常活动运动下精准连续无袖血压实时检测解决方案、基于云计算的健康知识推理平台实时健康状态分析、基于社交网络的电子医疗信息共享信息安全和隐私保护解决方案。
英文摘要
E-healthcare is an emerging and promising solution to enable pervasive, precise, and patient-centered healthcare services, based on advanced information and communication technology. With continuous monitoring capability from wearable medical devices and knowledge inferring capability from cloud computing, e-healthcare can greatly improve service efficiency and reduce healthcare cost, especially for people on the go and at home, complementary to hospital care. This research project focuses on acquisition and processing of various types of biomedical signal and health information for e-healthcare applications. It will develop a new set of engineering solutions for reliable, precise and continuous health monitoring, diagnosis, and prediction, and for information sharing with privacy protection. In particular, it will investigate and develop accurate and reliable medical signal acquisition algorithms from biosensors, a real-time solution for precise and continuous cuffless blood pressure detection under normal daily activities with movement, a cloud computing based health knowledge inference platform for real-time health status analysis, information security and privacy preservation solutions for social-network based e-healthcare information sharing. The project will generate new ideas and techniques which will provide significant benefits to Canadian healthcare users. Pursued in close collaboration with corporate industrial sponsor CIM, the research is expected to make important contributions to the development of engineering solutions for future e-healthcare systems. Six graduate students and two postdoctoral fellows, together with undergraduate students, will develop the latest innovations in information and networking systems, emerging as expert additions to the Canadian high technology industry labor force.
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