The Portable Analysis And Detection Ecg Machine

With the increase of people's work and life pressure and the changes of lifestyle rescent years, the cardiac disease is one of the main diseases to harm human body now .ECG is an important method for the diagnosis in the cardiac disease in clinic. The traditional ECG machine has its own number of deficiencies, such as bring. So Portable ECG analysis Detector design and implementation is the problem many researchers pay a mount of attention to solve. The key technology of the portable analysis and detection ECG Machine is the detect of the ECG waveforms. QRS complex detection is the key part in the ECG automatic analysis. The accuracy of QRS position detected will affect the correctness and veracity of later analysis and signal extraction.Based on the previous work,the algorithm of QRS complex detection based on wavelet transform is studied; and the hardware architecture for the wavelet transform and QRS complex detection is presented in this dissertation .In this dissertation,the algorithm of QRS complex detection based on wavelet transform is designed and its FPGA implement is also accomplished.Various existed algorithm for QRS complex detection are summarized firstly. Considering the detection rate and the Real-time implement,wavelet transform method is used to detect the QRS complex. By the wavelet theory,After wavelet transform,. localization of the QRS complex is obtained by the appearance of a Pair of Peaks on the wavelet transform in each scale. In the Matlab simulation software simulates this theory and the results meet the requirement.Secondly, the ECG signal based on wavelet transform detection algorithm for FPGA implementation system is designed. The system includes two modules: wavelet transform module and detection module. The Pipeline architecture is employed to design the wavelet transform module,implement different layer of the wavelet decomposition in different module to improve operational efficiency. The detection module searches the modulus maxima in the layers and detect QRS complex.The Verilog HDL is used to verify the system and several records of MIT-BIH arrhythmia database is used to evaluate the design,the good veracity is got. Meanwhile,the result of synthesis shows the system utilization in line with design requirements.