AbstractsEngineering

The Electrocardiogram ECG is a vital sign monitoring newlinemeasurement of the cardiac activity One of the main problems in biomedical newlinesignals like Electrocardiogram is the separation of the desired signal from newlinenoises caused by power line interference muscle artifacts baseline wandering newlineand electrode artifacts The predominant artifacts present in the ECG include newlinePower line Interference and Baseline Wander This artifact strongly affects newlinethe ST segment degrades the signal quality frequency resolution and newlineproduces large amplitude signals in the ECG that can resemble P Q R S T newlinewaveforms Different types of digital filters are used to separate signal newlinecomponents from unwanted frequency ranges Adaptive filter is one of the newlineprimary methods to filter because it does not require the signal statistical newlinecharacteristics newlineA new technique called Empirical Mode Decomposition EMD is newlineused in contrast with Fourier analysis and wavelet methods It is a fully datadriven newlinetechnique and an adaptive method well suited to analyze biomedical newlinesignals The EMD is based on the sequential extraction of energy associated newlinewith various intrinsic time scales of the signal, starting from finer temporal newlinescales high frequency modes to coarser ones low frequency modes Two newlineissues are considered in this work, one is denoising of ECG signal and the newlineother is classification of different arrhythmias newline newline%%%appendix p191-213, reference p214-224.