Posters-Accepted Abstracts: Biol Syst Open Access
ECG signal is the important basis of clinical detection of cardiovascular disease. Technology by ECG measurement equipment to get the ECG data for a long period of time has been formed specification but analysis method of the mass ECG data is still the research front and it has actual demand. Model of introduced in this report using pseudo-DNA structure to deal with ECG data can transform the time series of 1D into of the visualize result of 2D. Using the normal and abnormal ECG signal from the different measuring profile can be compared formation distribution differences between normal ECG and abnormal ECG sequence intuitively and reached to show the distribution state of normal ECG and abnormal ECG from the macro graphical distribution level.