CLASSIFICATION OF IMPEDANCE CARDIOGRAM FOR HEMODYNAMIC STUDIES

Abstract

Impedance Cardiography is a technique which is used for the diagnosis of the heart. When a sinusoidal current of 10 μA to mA amplitude and 20 to 100 kHz frequency is applied to the transthoracic region some voltage is developed between the voltage electrodes as the blood acts like impedance. The signal obtained is called the impedance cardiogram or ICG. Using Artificial Neural Networks the most important complex of ICG called BCX complex is detected. Hemodynamic parameters like stroke volume, cardiac output, heart rate, cardiac work are calculated from this complex. With one data file of a normal subject the neural network is trained and test on the remaining data files by calculating the parameters from the predicted signal and verifying them with the normal values.