Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents

Computer Methods and Programs in Biomedicine

Volumn 93, Issue 3, 2009, Pages 313-321

  Übeyli, Elif Derya ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Electrocardiogram (ECG) signals; Fuzzy logic; Lyapunov exponent

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS); ANFIS CLASSIFIERS; ANFIS MODELS; ATRIAL FIBRILLATIONS; CLASSIFICATION ACCURACIES; CONGESTIVE HEART FAILURES; DIAGNOSTIC ACCURACIES; ECG SIGNALS; ELECTROCARDIOGRAM (ECG) SIGNALS; GRADIENT DESCENT METHODS; INPUT DATUM; LEAST SQUARES METHODS; LYAPUNOV EXPONENT; NETWORK ADAPTIVE; QUALITATIVE APPROACHES; TWO STAGES; VENTRICULAR TACHYARRHYTHMIA;

CLASSIFIERS; CURVE FITTING; DIFFERENTIAL EQUATIONS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; FEATURE EXTRACTION; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SETS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; LYAPUNOV METHODS; NEURAL NETWORKS; SIGNAL PROCESSING; TELECOMMUNICATION NETWORKS; TELEMEDICINE;

FUZZY SYSTEMS;

ADULT; AGED; AGED, 80 AND OVER; ATRIAL FIBRILLATION; DECISION MAKING, COMPUTER-ASSISTED; DECISION SUPPORT TECHNIQUES; ELECTROCARDIOGRAPHY; FEMALE; FUZZY LOGIC; HEART FAILURE; HEART RATE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES; TACHYCARDIA, VENTRICULAR;

EID: 59149084224     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2008.10.012     Document Type: Article

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