Neuro-fuzzy Classifier for Cardiac Arrythmias Recognition
نویسنده
چکیده
The premature ventricular contraction (PVC) and the premature atrial contraction (PAC) are cardiac arrhythmias which are widely encountered in the cardiologic field. They can be detected using the electrocardiogram signal parameters. We use in this work a Neuro-fuzzy approach to identify these abnormal beats. To achieve this objective we have developed a Neuro-Fuzzy Classifier (NFCL), its performances were evaluated by computing the percentages of sensitivity (Se), specificity (Sp) and correct classification (CC). This classifier allows extraction of rules (knowledge base) to clarify the results obtained. We use the medical database (MIT-BIH) to validate our results.
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