Electrocardiogram signal analysis using empirical mode decomposition and Hilbert spectrum

Abstract

Paper gives an idea about decomposition techniques used in Hilbert Hung transform empirically. A method explain here to excerpt important features like Maximum amplitude, Instantaneous frequency from Electrocardiogram signal to recognize Human emotions. Given algorithm analyzes Electrocardiogram signals empirically using HHT and decomposed into the Intrinsic Mode Function (IMF). These functions are used to extract the features using a hybrid approach of Hilbert Huang Transform. The decomposition technique which we adopt is a new technique for adaptively decomposing signals into various number of intrinsic mode functions. In this perspective, we have reported here potential usefulness of EMD based techniques. We evaluated the algorithm on Augsburg University Database; the manually annotated database.