报告摘要：

基于移动终端的健康监测应用的智能算法，研究医疗设备和临床决策支持技术，是全球研究和开发的一个活跃领域。该应用发展了具有基于云的安全和数据存储的增强功能。此外，利用数据分析可以检测潜在的体征和症状，并识别监测信号的变化。它旨在通过患者参与和以用户为中心的方法提供有效的临床决策功能。使基于移动的健康监测应用集成到电子健康记录中，以便使信息随时随地可用，以支持临床医生和患者做出更好的决策。

本讲座将探讨当前的研究和开发方法，包括远程患者监测，可穿戴医疗设备，远程嗅觉技术和电子健康相关的智能医疗应用，欢迎感兴趣师生参加交流。

Title: Mobile-based Health Monitoring Applications

Developing intelligent algorithms for mobile-based health monitoring applications using medical devices and clinical decision support techniques is an active area of research and development worldwide. The applications are developed with the enhancement features of cloud based security and data storage. Moreover, data analysis is carried out to detect the underlying signs and symptoms and identify significant changes to the monitoring signals. It is aimed to provide effective clinical decision support functionality with patient engagement and user-centric approach. Integration of mobile-based health monitoring applications into the electronic health records can be achieved in order to make information available all time and everywhere to support clinicians as well as patients in making better decisions.

This talk will explore current research and development approaches comprising remote patient monitoring, wearable medical devices, tele-olfactory technology, and e-Health for applications related to smarter healthcare.