Ecg Data Better Educated

The heart disease is one of the most prominent disease threatening the life of human being. Study of heart disease has for a long time been an important issue in medicine. Electrocardiograph(ECG) records the activity of physiological electricity about heart, which hides abundant information of physiology and pathology reflecting the rhythm and conduction, and becomes an important basis for diagnosing the diseases and evaluating the function of heart. Microprocessor has been applied to ECG auxiliary diagnosis, which has improved the speed of analysis and promoted the development of analyzing algorithm. For the complexity of ECG, the accuracy of auxiliary diagnosis should be improved.The thesis analyzes the process of ECG diagnosis, which is essentially an acquisition of status knowledge from ECG data, so the concept of data knowledge discovery is introduced to processing the signal of ECG. On that basis, a series of auxiliary analyzing algorithms based on data knowledge discovery is designed, including wavelet transforms as detecting algorithm, clustering analysis being used to analyze QRS complex, combining one beat and final string diagnosis. These algorithms can distinguish part kinds of arrhythmia of the MIT-BIH standard ECG data-base.This thesis consists of six sections as follows:Chapter one firstly introduces the basic knowledge, traditional diagnosis process and clinic application of ECG, then expounds the process and recent development of ECG analysis, and briefly introduces the development and application of data knowledge discovery, which is introduced to processing the signal of ECG. At last, the contents of the thesis are outlined.In second section, firstly all types of interference and noises existing in the signal of ECG are analyzed, and which of the reasons and the characteristics are discussed. Detecting and eliminating algorithms are designed respectively against three kinds of noise, power-line interference, base-line wander and high frequency interference, to improve the signal-to-noise ratio of ECG signal.Chapter three introduces the basic theory of wavelet transforms which is used as the detecting algorithm of the features, and states three characteristics of this method,...