Diagnosis Of Hearth Valve Stenosis Through The Use Of
Artificial Neural Networks
Author(s)
S. Kara, A.Güven, M. Okandan & F. Dirgenali
Abstract
Diagnosis of heart valve stenosis through the
use of artificial neural networks
S. ~ a r a ' , A. ~ i i v e n ~ , M. Okandanl & F. ~ i r ~ e n a l i ]
' ~ e ~ t . of Electronics Engineering, Erciyes University, Turkey.
'civil Aviation School, Erciyes University, Turkey.
Abstract
One of the current practices of diagnosing valve stenosis is based on the
investigation of the Doppler Ultrasound's Fast Fourier Transformation (FFT)
sonogram. This method depends on the physicians' interpretation and
experience and sometimes results in false diagnosis. In this study, we have
facilitated Artificial Neural Networks (ANN) that will not only simplify the
diagnosis but enable the physician to make a quicker judgment about the
existence of stenosis, without any hesitation. The FFT sonogram of Doppler
Heart Ultrasound of a healthy person very resembles to the " M letter. The
ratios of the three points (First Systolic Peak, Endpoint of Diastole, Second
Systolic Peak) in the M like curve are used as inputs to o
Keywords
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