The electrocardiogram (ECG) is a fundamental tool in daily clinical medicine practice, recording millions of ECGs annually. Computer-assisted interpretation is becoming more and more important in clinical ECG processing and interpretation, serving as a crucial adjunct to physician interpretation in many clinical settings. But the existing commercial ECG interpretation algorithms still show substantial rates of misdiagnosis, and there is still a lack of comprehensive evaluation of computer-aided interpretation. We recommend using an ensemble method to process and classify clinical ECGs for providing accuracy and increasing rhythm classes.