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

E-Healthcare是一种新兴的、有前途的解决方案，它基于先进的信息和通信技术，实现普遍、精确和以患者为中心的医疗服务。凭借可穿戴医疗设备的持续监控能力和云计算的知识推理能力，e-Healthcare可以极大地提高服务效率，降低医疗成本，特别是对外出和在家的人来说，这是对医院护理的补充。本研究项目致力于电子医疗应用中各种生物医学信号和健康信息的采集和处理。它将开发一套新的工程解决方案，用于可靠、准确和持续的健康监测、诊断和预测，以及在隐私保护下的信息共享。特别是，它将研究和开发来自生物传感器的准确可靠的医疗信号采集算法，用于正常日常运动活动下精确和连续的无袖带血压检测的实时解决方案，用于实时健康状态分析的基于云计算的健康知识推理平台，用于基于社交网络的电子医疗信息共享的信息安全和隐私保护解决方案。

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.