Twelve Lead ECG Analysis And Research Base On Wavelet Transform

With the accelerated aging process in C hina, at present in patients with cardiovascular diseases in C hina presented a trend of increased significantly, for the prevention and treatment of cardiovascular disease on the market has been in existence for many portable ECG device. However, the use of portable EC G device did not really solve the difficult prob lem of the majority of patients with cardiovascular disease see: portable equipment most has the function of data acquisition, only the data stored in the local. The data for the user itself without any significance, the data processing and analysis in order to reflect the actual value. At present, with the rapid development of mobile communication data service and mature data collected by the way of wireless communication is uploaded to the cloud computing platform analysis.ECG waveform, its essence is a signal, the body surface potential with the transformation of the time signal, so analysis of EC G is actually the signal analysis, is of signal transformation, signal transform divided into two kinds of time domain and frequency domain, but in EC G signal a nalysis has some limitations. In this paper, the through the analysis of wavelet transform to analyze ECG signal and the characteristics of ECG signal acquisition, mainly in electrocardiogram QRS complexes.The first chapter introduces the background research contents and current research situation and the background of the project; the second chapter of the ECG signal and the international standard twelve lead ECG acquisition methods are introduced, and the MIT-BIH ECG database is introduced; the third chapter is mainly about the analysis of ECG signal analysis methods, by comparing the time domain analysis, frequency domain analysis and wavelet analysis combined with the analysis of the characteristics of the ECG signal the final choice of wavelet analysis for EC G signal; the fourth chapter is mainly about the wavelet transform method of ECG signal analysis, including the commonly used wavelet functions, this paper mainly introduces 4 kinds of wavelet function, through the simulation of Matlab concrete the realization of wavelet analysis of EC G signal and ECG signal feature acquisition. The fifth chapter is the main part of the software design code, including the Android side of the APP software and the background of the analysis software. The sixth chapter summarizes the whole article and draws a conclusion.