Applications of ECG Signal Analysis for R-R Complex Detection

Abstract

By analyzing and profiling Electrocardiogram signals, we developed a technique for detecting abnormal heartbeats of any individual accurately and focusing on RR complex timestamps. With 96% - 116% range of precision for healthy patients, abnormalities were detected and arrhythmia diagnosed with 92.43% classification rate for 1-minute period evaluation. Studies in the bioelectrical activity of the heart and beat classification methods, in general, can help diagnosing heart diseases, besides being used as early warning signs for debilitated patients.