Effects of window types on classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network

Computers in Biology and Medicine

Volumn 37, Issue 3, 2007, Pages 287-295

  Özbay, Yüksel ^a   Ceylan, Murat ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Atherosclerosis; Carotid artery; Complex valued ANN; Doppler signals; FFT; Hilbert transform; Welch transform; Window types

Indexed keywords

ANGIOGRAPHY; DIAGNOSIS; DISEASES; FAST FOURIER TRANSFORMS; MEDICAL COMPUTING; NEURAL NETWORKS; ULTRASONICS;

ATHEROSCLEROSIS; CAROTID ARTERY; DOPPLER SIGNALS; HILBERT TRANSFORM; WELCH TRANSFORM;

BLOOD VESSELS;

ACCURACY; ANGIOCARDIOGRAPHY; ANGIOGRAPHY; AORTA; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATHEROSCLEROSIS; CAROTID ARTERY; DOPPLER ECHOGRAPHY; FEMORAL ARTERY; FOURIER TRANSFORMATION; HUMAN; POPLITEAL ARTERY; PRIORITY JOURNAL;

ADULT; AGED; ATHEROSCLEROSIS; CAROTID ARTERY DISEASES; CAROTID STENOSIS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FOURIER ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SOFTWARE; ULTRASONOGRAPHY, DOPPLER;

EID: 33845997386     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2006.01.008     Document Type: Article

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