A biomedical system based on fuzzy discrete hidden Markov model for the diagnosis of the brain diseases

Basit Öğe Kaydı
dc.contributor.authorUguz, Harun
dc.contributor.authorOeztuerk, Ali
dc.contributor.authorSaracoglu, Ridvan
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2020-03-26T17:26:18Z
dc.date.available2020-03-26T17:26:18Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractBecause it is a non-invasive, easy to apply and reliable technique, transcranial doppler (TCD) study of the adult intracerebral circulation has increased enormously in the last 10 years. In this study, a biomedical system has been implemented in order to classify the TCD signals recorded from the temporal region of the brain of 82 patients as well as of 24 healthy people. The diseases were investigated cerebral aneurysm, brain hemorrhage, cerebral oedema and brain tumor. The system is composed of feature extraction and classification parts, basically. In the feature extraction stage, the linear predictive coding analysis and cepstral analysis were applied in order to extract the cepstral and delta-cepstral coefficients in frame level as feature vectors. In the classification stage, discrete hidden Markov model (DHMM) based methods were used. In order to avoid loosing information due to vector quantization and to increase the classification performance, a fuzzy approach based similarity was applied to implement the DHMM. The performance of the proposed Fuzzy DHMM (FDHMM) was compared with some methods such as DHMM, artificial neural network (ANN), neuro-fuzzy approaches and obtained better classification performance than these methods. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2007.08.006en_US
dc.identifier.endpage1114en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1104en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2007.08.006
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22142
dc.identifier.volume35en_US
dc.identifier.wosWOS:000257993700052en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjecttranscranial doppler signalsen_US
dc.subjectfuzzy discrete hidden Markov modelen_US
dc.subjectsimilarityen_US
dc.titleA biomedical system based on fuzzy discrete hidden Markov model for the diagnosis of the brain diseasesen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu