Improving the Quality of ECG Signal Using Wavelet Transform and Adaptive Filters

The increasing risk of cardiovascular diseases, stress, high blood pressure, obesity, sleep disorders, and depression causes electrocardiogram (ECG) monitors to be used for diagnosing health. The main objective of this research is to enhance the quality of the ECG signal using wavelet transform and adaptive filters. This research has been made as descriptive-analytic and the method is used in the signal processing stages to calculate the ECG modulation spectrum, the spectral-modulation filtering scheme, and the ECG database from the standard algorithm and performance criteria. The results of the simulation indicate that the conversion of Sym۴ and the adaptive filter with the size of ۰.۰۰۰۵ and the length of the filter of ۲۵ signals to the noise will be greatly improved to reveal the main features of the ECG signal.

کلیدواژه ها:

ECG Signal Quality ، Wavelet ، Adaptive Filter