Methodologies for Biomedical Signal Processing and Control

我的研究计划的目的是使用先进的工程技术来处理生物信号，开发新的患者监测技术，并使用控制工程开发自动药物输送系统。在这项提案中，我将a)使用先进的生物信号处理概念来开发技术，以表征和监测来自中枢和自主神经系统的信号。这些技术的目的是帮助医疗保健提供者观察睡眠-唤醒周期，评估压力和反应性，检测和预测癫痫发作，并在重症监护中监测患者；b)在我的团队之前开发的手机血氧计的基础上，我将开发适用于移动医疗的节能和计算节约型信号处理方法。例如，允许从相对较少的测量中确定整个信号的压缩传感方法将被用于开发简单的基于移动电话的技术，以在社区环境中监控和诊断患者；c)开发先进的控制方法，这将构成第一个被证明安全的控制方法，以及FDA和加拿大卫生部认证的麻醉和止痛闭环控制器。

The purpose of my research program is to develop novel patient monitoring technologies using advanced engineering techniques for processing of biological signals and to develop automatic drug delivery systems using control engineering. In this proposal, I will a) use advanced bio-signal processing concepts to develop techniques to characterize and monitor signals from the central and autonomous nervous systems. The purpose of these techniques is to aid healthcare providers in the observation of sleep -wake cycles, assessment of stress and reactivity, detection and prediction of epileptic seizure, and for patient monitoring in critical care; b) building upon the Phone Oximeter previously developed by my team, I will develop energy-aware and computationally thrifty signal processing methods for mobile health. For instance, compressed sensing methods which allow the entire signal to be determined from relatively few measurements will be used to develop simple mobile phone based technologies to monitor and diagnose patients in community settings; c) developadvanced control methodsthat will form the basis for the first provably safe, and FDA and Health Canada certifiable closed-loop controller for anesthesia and analgesia.