Automatic Detection of ECG R-R Interval using Discrete Wavelet Transformation
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 4
Abstract
Detection of QRS-complexes takes an important role in the analysis of ECG signal, based on which the number of heart beats and an irregularity of a heart beat through R-R interval can be determined. Since an ECG may be of different lengths and as being a non-stationary signal, the irregularity may not be periodic instead it can be shown up at any interval of the signal, it is difficult for physician to analyze ECG manually. In the present study an algorithm has been developed to preprocess and to automatically determine the R-R interval of ECG signal based on Discrete Wavelet Transformation (DWT). The developed algorithm initially performs preprocessing of a signal in order to remove Baseline Drift (De-trending) and noise (De-noising) from the signal and then it uses the preprocessed signal for finding R-R interval of the ECG signal automatically. By using developed algorithm, the accuracy of the analysis can be increased and the analysis time can be reduced.
Authors and Affiliations
Vanisree K , Jyothi Singaraju
Keywords
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- EP ID EP108132
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