Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
| Hi-index | 0.00 |
In this study, a new algorithm is proposed-Asynchronous Averaging and Filtering AAF for ECG signal de-noising. R-peaks are detected with another proposed algorithm-Minimum Slot and Maximum Point selecting method MSMP. AAF algorithm reduces random noise major component of EMG noise from ECG signal and provides comparatively good results for baseline wander noise cancellation. Signal to noise ratio SNR improves in filtered ECG signal, while signal shape remains undistorted. The authors conclude that R-peak detection with MSMP method gives comparable results from existing algorithm like Pan-Tomkins algorithm. AAF algorithm is advantageous over adaptation algorithms like Wiener and LMS algorithm. Overall performance of proposed algorithms is comparatively good.