Abstract
Pre-Processing of Electrocardiographic (ECG) signals involves the baseline wander elimination and impulse noise filtering to facilitate automated analysis. In this paper a new morphological filtering algorithm using combinations of flat (two dimensional) structuring elements is proposed for pre-processing of ECG signals. Usage of two dimensional structuring elements, (over single dimension) aids in controlling effective inhibition of noise, leading to reconstruction with minimal signal distortion. Signal to noise ratio (SNR) and Root Mean Squared Error (RMSE) are used as quantitative evaluation measures for optimizing the selection of size of the structuring elements. Experimental results show that the proposed algorithm yields effective pre-processing of ECG signals, thereby eliminating the discussed artifacts.
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Verma, R., Mehrotra, R., Bhateja, V. (2013). A New Morphological Filtering Algorithm for Pre-Processing of Electrocardiographic Signals. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_18
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DOI: https://doi.org/10.1007/978-81-322-0997-3_18
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