DocumentCode :
2853324
Title :
An application of wavelet neural networks (WNN) for heart valve prostheses characteristic
Author :
Kostka, P. ; Tkacz, E.J.
Author_Institution :
Found. of Cardiac Surg. Dev., Inst. of Heart Prostheses, Zabrze
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2463
Abstract :
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
Keywords :
cardiology; haemodynamics; neural nets; physiological models; prosthetics; wavelet transforms; flow pattern analysis; heart valve prostheses characteristic; valve prosthesis design process improvement; wavelet neural networks; Artificial neural networks; Computer simulation; Education; Heart valves; Neural networks; Neural prosthesis; Process design; Signal analysis; Testing; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.901298
Filename :
901298
Link To Document :
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