Characteristic Points Detection in ECG by Fusion of DP Matching and Neural Network

Abstract

We propose a method for detecting characteristic points (CPs), the Q and S point, in an electrocardiogram. The method is a fusion of two methods, DP-matching and ART2 neural network. A multichannel ART neural network (MART) was used for the fusion. The method was tested using an MIT/BIH arrhythmia database. The rate of accuracy within 6 ms error was 99.6% for S point detection and 96.4% for Q point detection, indicating that the method is reliable.