روش جدیدی برای حذف نویز سیگنال لکترو کاردیوگرام با تفکیک پذیری بالا

In this paper a new method for noise filtering of high resolution stress ECG is presented. The method is based on a perfect reconstruction and linear phase filter banks, which decompose the ECG signal to different frequency subbands. Then different processing algorithms are applied to different frequency subbands to remove various ECG noises such as baseline, power line, EMG noises and motion artifacts. The proposed processing algorithms for frequency subbands are adaptive. The algorithms first estimate the noise level of the ECG signal and based on the noise level, the parameters of the algorithms are selected. One of the benefits of filter bank is its capability of applying both frequency and time domain processing simultaneously. To apply time domain processes, it is required to extract fiducial points of ECG signal such as Q, R, S and J points. We have also introduced a new multiresolution curvature scale space based method to extract these points, which can extract these points precisely. The comparison of proposed method with those other methods showed that the proposed methods have promising results.