Detection of Carotid Artery Disease by Using Learning Vector Quantization Neural Network

• Published in: Journal of medical systems Vol. 36; no. 2; pp. 533 - 540
• Main Author: Uuz, Harun
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.04.2012; Springer Nature B.V
• Subjects: Algorithms; Carotid Artery Diseases - diagnosis; Carotid Artery Diseases - diagnostic imaging; Carotid Artery, Internal - diagnostic imaging; Carotid Stenosis - diagnosis; Carotid Stenosis - diagnostic imaging; Diagnosis, Computer-Assisted - methods; Echocardiography, Doppler; Health Informatics; Health Sciences; Humans; Medicine; Medicine & Public Health; Neural networks; Neural Networks (Computer); Original Paper; Statistics for Life Sciences; Veins & arteries; Power spectral density; Autoregressive method; Carotid artery; Doppler signal; Learning vector quantization

Doppler ultrasound has been usually preferred for investigation of the artery conditions in the last two decades, because it is a non-invasive, easy to apply and reliable technique. In this study, a biomedical system based on Learning Vector Quantization Neural Network (LVQ NN) has been developed in...