A Review of ECG Signal De-noising and Peaks Detection Techniques

The Modern era is marked by tension and, therefore, heart is in trouble. Whole of the world is busy making research in ECG techniques. on Electrocardiogram and its feature extraction is the area of interest.. Analysis and classification let the medical professional to detect the heart ailments and other diseases. In our research method for De-noising of ECG signal and Feature extraction Algorithm is proposed. We considered the baseline wander problem in ECG signal which is basically due to the measurement error. This work involves the IIR filter Savitzky-Golay filter and Wavelet Transform. ECG signal is de-noised without affecting any information from ECG. We have also designed a feature Extraction algorithm which automatically detects the RR interval and QRS interval along with the amplitude of Q, R, and S. The whole algorithm including the de-noising of signal and Feature extraction. This work has been simulated on the MATLab software.