Abstract
The work is devoted to method and algorithm for calculating lung ventilation and perfusion based on electrical impedance tomography, which consists in isolating the ventilation or perfusion component of the voltage change on the surface of the chest cavity by filtering, followed by calculating a impedance integral parameter and average value of the voltage change, the law of change of which has a high correlation with lung ventilation. Main approaches to filtering discrete signals, which are measurement data in the calculation of ventilation and lung perfusion based on EIT during mechanical ventilation, namely polynomial filters, a simple Fourier filter and a filter based on discrete wavelet transformation, have been identified and investigated. A block diagram of an algorithm for implementing a simple Fourier filter has been developed.
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