Cardiac anomalies detection by cepstral analysis of ICG signal

The innovation of our method is to design a new technique with multiple capabilities, autonomy and automatic applications in the diagnosis of some cardiovascular parameters relative to a certain categories of patients (elderly, children, pregnant women) with cardiovascular diseases. The objective of this work is to perform automatic diagnosis by processing the bioimpedance signal or impedance cardiography signal (ICG) which represents the aorta impedance variation during the heart cycle activity. Our analysis is based on the determination of ICG cepstral parameters (seven cepstral parameters). The application of the discriminant analysis method allowed us to perform the diagnosis of 168 anonymous cases. The seven cepstral parameters are sufficient to perform the automatic diagnosis of the cardiovascular system abnormalities with 97.2% of correctly classified cases.