Computer filtering of an ECG signal based on the prior knowledge principle-general concept

A novel computer method for ECG (electrocardiographic) signal filtering is discussed. This method is based on a concept called the prior knowledge principle (PKP). The PKP assumes that the measured signal contains the ECG signal itself and environmental noises. An artificial signal with amplitude and time resembling the real ECG signal has been constructed. Cases of white and network noise are analyzed, with the level of noise varying from 0 to 100%. The calculated errors for the techniques used do not exceed 20%. >