The lecture will focus on the fundamentals, methods and recent advances of data processing related to health informatics. The practice part will strengthen students’ capabilities in applying the learned theories by embedded programming. The course demands the students to develop an intelligent health monitoring system on an embedded chip independently, building up their core competence such as signal and image processing, machine learning and C/C++ programming. The lecture will introduce the basics of camera sensors and embedded systems, signal and image processing, classical methods in machine vision that are related to health monitoring, fundamentals of human physiology and optics, and classical algorithms in physiological measurement and semantics. Students will master the principles and major approaches in health-related data processing, be familiar with the construction of embedded intelligent system, and establish a solid basis for research in the future.