An application of wavelet neural networks (WNN) for heart valve prostheses characteristic

Presents some recently obtained results regarding possibility of application of wavelet neural networks (WNN) for both description and further analysis of events happening with the artificial heart valves. It is extremely important to create a tool allowing analysis of flow pattern through an artificial heart valve prosthesis, which makes possible the extraction of some conclusions leading to valve prosthesis design process improvement.