Analysis of ECG Using Filter Bank Approach

In recent years scientists and engineers are facing several problems in the biomedical field. However Digital \ud Signal Processing is solving many of those problems easily and effectively. The signal processing of ECG is \ud very useful in detecting selected arrhythmia conditions from a patient’s electrocardiograph (ECG) signals. In this \ud paper we performed analysis of noisy ECG by filtering of 50 Hz power line interference using an adaptive LMS \ud notch filter. This is very meaningful in the measurement of biomedical events, particularly when the recorded \ud ECG signal is very weak. The basic ECG has the frequency range from 5 Hz to 100 Hz. It becomes difficult for \ud the Specialist to diagnose the diseases if the artifacts are present in the ECG signal. Methods of noise reduction \ud have decisive influence on performance of all electro-cardio-graphic (ECG) signal processing systems. After \ud removing 50/60 Hz powerline interference, the ECG is lowpass filtered in a digital FIR filter. We designed a \ud Filter Bank to separate frequency ranges of ECG signal to enhance the occurrences QRS complexes. Later the \ud positions of R-peaks are identified and shown plotted. The result shows the ECG signal before filtering and after \ud filtering with their frequency spectrums which clearly indicates the reduction of the power line interference in \ud the ECG signal and a filtered ECG with identified R-peaks. \u