Lightweight Signal Analysis for R-Peak Detection

The electrocardiogram signal is considered very important in clinical practice in order to assess the cardiac status of patients. In this paper, a computer aided detection system for R peak localizations is indicated. A four stage architecture is implemented which is able to differentiate R waves from peaked T and P waves with an high degree of accuracy. The performance of the algorithm is tested using ECG waveform records from the MIT-BITH Arrhythmia database. A sensitivity of 96 % and a positive prediction of 99% are achieved.