Analysis of Cardiosignals Cohesion based on Hankel Matrix

G. Kersulyte, Z. Navickas, A. Vainoras, L. Gargasas, G. Jarusevicius


A big part of heart disease diagnostics criteria is collected by registration and analysis of cardio signals that show electric heart activity disturbance (ECG) and hemodynamic and mechanic activity changes as impedance cardiograms (ICG) and seismocardiograms (SCG). Therefore, a solution of problem of effective heart disease diagnostic is the creation of new cardiosignals analysis technologies. In this paper, the ranks analysis method was applied to three cardio signals, because they reflect the electrical and mechanical work of the human heart better as one ECG signal. This method helps to evaluate complexity, to analyze, how many components are needed to record ECG, ICG and SCG. We found that QRS complex have more components than P and T waves. The main aim of this work is to adapt principal components method to assessing and comparing the characteristics of hereinbefore signals. In combining principal components analysis we can gain such features witch are relatively discriminate and could be divided with certain hyper plane. Ill. 7, bibl. 7 (in English; summaries in English, Russian and Lithuanian).

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