Dynamic ECG Monitoring System Based On FPGA

At present, cardiovascular diseases have become one of the main problems that harm human life and health. According to statistical data from medical departments, the death rate associated with cardiovascular diseases takes first place worldwide. In China the proportion of cardiovascular diseases among all health problems reaches as high as10%-20%and it still goes up. Many patients die because they cannot afford healthcare service on time. Therefore, early diagnosis and preventive treatment of cardiovascular diseases are increasingly attracting the attention of experts and researchers. Electrocardiographic (ECG) signals contain large amounts of information regarding the cardiovascular system. That is why ECG has become an important tool for diagnosis of cardiovascular diseases in clinical practice.With the improving of people’s living standard as well as the increasing attention towards personal health, there is an increasing need for ECG continuous monitoring. In this thesis, based on analysis of existing ECG-monitoring systems, a dynamic monitoring system optimized towards power consumption, flexibility and real-time operation is described.In this thesis, the system mainly contains two major parts---ECG acquisition and ECG signal processing. To acquisition part, a non-amplifying ECG data acquisition module is desiged. It can be used as a high-resolution A/D converter for direct sampling of the ECG signal. The utilization of a non-amplifying ECG signal acquisition module can allow for simplifing hardware structure and improving system reliability and ideal power consumption characteristics while the system performance is almost not affected.To processing part. FPGA (Field Programmable Gate Array) can allow reconfigurability and implementation of complex-logic functions. In this work I made full use of the advantages of FPGA. By integration of ECG signal data processing algorithms of different complexity with different internal resources of FPGA, a low-power consuming, flexible and independent ECG data processing is achieved.After the system structure was determined. The system was divided into separate modules. After successful debugging of each module, the whole system was also debugged. The results show that the system achieve the functions of ECG acquisition and processing, it meets the design requirement.