Detection of cardiac disorder using MATLAB based graphical user interface (GUI)

Cardiac disorder leads to abnormal variability in the RR intervals. Hence accurate identification of such beats and pattern recognition are important for effective decision making. In this work, a platform using MATLAB based Graphical User Interface (GUI) is developed for automatic detection of infected or non-infected heartbeat conditions. Four subjects having normal sinus rhythm, atrial fibrillation, and arrhythmia respectively are investigated by analyzing distribution of power and statistical features (heart rate, form factor, kurtosis, skewness, and LF/HF ratio). RR interval of affected subject is less than the normal heart beat. Moreover, heart rate, kurtosis, and skewness are higher but LF/HF ratio is lower for affected heart beats. The proposed classification procedure is tested on MATLAB based GUI platform and the results are compared with real report obtained from medical. The result provides a significant clinical advantage, and matches the doctor's opinion. A new platform can be found to detect the condition of heart within very short time.