Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
An Analysis of the Fundamental Structure of Complex-Valued Neurons
Neural Processing Letters
Computers in Biology and Medicine
Spectral analysing of portal vein Doppler signals in the cirrhosis patients
Computers in Biology and Medicine
A fuzzy clustering neural network architecture for classification of ECG arrhythmias
Computers in Biology and Medicine
Expert Systems with Applications: An International Journal
TAINN'05 Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks
A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
Expert Systems with Applications: An International Journal
Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease
Expert Systems with Applications: An International Journal
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In this study, complex-valued artificial neural network (CVANN) that is a new technique for biomedical pattern classification was proposed for classifying portal vein Doppler signals recorded from 54 patients with cirrhosis and 36 healthy subjects. Fast Fourier transform values of Doppler signals were calculated for pre-processing and obtained values, which include real and imaginary components, were used as the inputs of the CVANN for classification of Doppler signals. Classification results of CVANN show that Doppler signals were classified successfully with 100% correct classification rate using leave-one-out cross-validation. Besides, CVANN has 100% sensitivity and 100% specificity. These results were found to be compliant with the expected results that are derived from physician's direct diagnosis. This method would be to assist the physician to make the final decision.