Building an Automatic Arrhythmia Detection Software Based on Matlab

Electrocardiogram (ECG) is an electrical signal containing information about the condition and functioning of the heart. Nowadays, many types of arrhythmias can be efficiently diagnosed based on this signals. In this study, we developed a software based on Matlab GUI to analyze ECG data recorded from the ECG 9620 Nihon Kohden device. The software read data, calculated Heart Rate, detected and analyzed PR, RR, ST intervals and width of QRS. Algorithms were developed to identify arrhythmia. Moreover, the software is very friendly to users and allowed medical doctors and staff to work and analyze those data conveniently. We tested the software with over 200 ECG data obtained from a simulator and patients monitored by experts and medical doctors. The software could recognize 12 types of common arrhythmia types with good precision. These results indicated that our software is useful to support medical staff to detect arrhythmias.