Uguz, HarunKodaz, Halife2020-03-262020-03-2620110957-4174https://dx.doi.org/10.1016/j.eswa.2010.12.084https://hdl.handle.net/20.500.12395/26230We developed a biomedical system based on Discrete Hidden Markov Model (DHMM). The aim of our system is to classify the internal carotid artery Doppler signals. We applied a fuzzy approach to DHMM. Thus we decreased information loss and increased the classification performance. Our system reached 97.38% of classification accuracy with 5 fold cross validation. These results showed that the Fuzzy Discrete Hidden Markov Model (FDHMM) method is effective for classification of internal carotid artery Doppler signals. (C) 2010 Elsevier Ltd. All rights reserved.en10.1016/j.eswa.2010.12.084info:eu-repo/semantics/closedAccessFuzzy discrete hidden Markov modelDoppler signalCarotid arteryPower spectral densityAutoregressive methodArticle38674077414Q1WOS:000288343900114Q1