Diagnosing heart disease using adaptive neuro-fuzzy algorithm

Heart diseases are the most common cause of death worldwide, claiming many lives each year. Their early detection can save lives and reduce treatment costs. A computer-aided diagnosis system can improve the diagnosis process by examining cardiac signals. Diagnosing arrhythmias using visual methods is challenging, time-consuming, costly, and tedious for doctors. Therefore, the use of automated and intelligent methods for diagnosis is very necessary and can solve the problems. In this paper, a new method for diagnosing heart diseases based on ECG signals is presented automatically using a fuzzy adaptive system. Compared to traditional classifiers, automated and intelligent methods have received much attention today. Here, a simple and low-complexity single-channel ECG signal is used to diagnose and differentiate heart diseases. Experimental results show that our proposed method provides good performance for diagnosing arrhythmias with an accuracy of ۹۹.۵%.

کلیدواژه ها:

ECG signal ، Cardiac arrhythmia ، automatic diagnosis ، Adaptive Neuro fuzzy system