Methodologies for Biomedical Signal Processing and Control

我的研究项目的目的是利用先进的工程技术来处理生物信号，开发新的病人监测技术，并利用控制工程开发自动给药系统。在本提案中，我将a)使用先进的生物信号处理概念来开发技术来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-觉醒周期，评估压力和反应性，检测和预测癫痫发作，以及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仪的基础上，我将为移动健康开发能量感知和计算节约的信号处理方法。例如，压缩感测方法允许从相对较少的测量中确定整个信号，将用于开发基于移动电话的简单技术，以便在社区环境中监测和诊断患者；c)开发先进的控制方法，这将成为第一个可证明安全的、FDA和加拿大卫生部认证的麻醉和镇痛闭环控制器的基础。

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.