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When the cardiac impulse passes through the heart, electrical current also spreads from the heart into the adjacent tissues surrounding the heart. A small portion of the current spreads all the way to the surface of the body. If electrodes are placed on the skin on opposite sides of the heart, electrical potentials generated by the current can be recorded; the recording is known as an electrocardiogram. It is used for diagnosis of a number of cardiac diseases and disorders. But the ECG signals are often corrupted by noises and artefacts. For getting the proper information from ECG, it first must be de-noised. ECG signal is dominated mainly by high frequency impulse noises and baseline wander. These noise must be removed for better clinical assessment. In this paper, we propose an improve ECG intensification method based on empirical mode decomposition and improved morphological algorithm. The method is examined through experimental simulations on MIT-BIH databases. Quantitative and qualitative results show that the proposed EMD based method caters improved results for de-noising and baseline wander removal.

Baseline Wander Correction and Impulse Noise Suppression Using Cascaded Empirical Mode Decomposition and Improved Morphological Algorithm