A robust R-Wave detection algorithm in ECG signal

The technology of ECG (Electrocardiograph) auto-analysis has developed rapidly in the recent years. In an ECG auto-analysis system, correct R-wave detection is most important. In this paper, a simple and reliable method termed the Correlation Integral Method (CIM) is proposed to detect the R-wave in ECG signal. The proposed method includes two stages. The first stage is to partition several small segments to an ECG signal and realize to the phase space reconstruction. The second stage is to calculate the correlation integral between these small segmentations. According to the position where the R-wave appears is the position at which the value of the correlation integral is at the minimum, the proposed method enables us to detect the R-wave even when there is a significant amount of high frequency noise in the ECG signal, or when the R peak abruptly reverses. Some records of ECG signals in MIT/BIH Arrhythmia Database is tested to show the CIM has a much more precise detection rate and robust than other methods.