Detection of R- Peaks in Electrocardiogram based onWavelet Transform and Wavelet Approximation

The diseases which are associated with the human heart can be detected through a procedure known as the electrocardiogram that is an electrical activity of the human heart. The clinical analysis of ECG faces problems in its interpretation due to the poor recording environment where unwanted noise is getting contaminated into it in the form of different artifacts viz motion artifacts, loose lead artifact, baseline wandering, muscle tumour artifacts etc. To get noise-free electrocardiogram wavelet theory plays an important role. This paper talks about the framework of approximation of an electrocardiogram signal by wavelet theory. On obtaining the denoised electrocardiogram, prominent peaks and R peaks -part of QRS complex are detected. The proposed algorithm is applied to the ECG recording No. 100m.mat obtained from MIT-BIH database.