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A simple algorithm for detection of QRS onset in single channel ECG signals

Abstract:

This paper proposes an algorithm for QRS-complex onset detection in single channel ECG signals based on the first differential of the ECG signal and an adaptive baseline estimation. The proposed algorithm was developed and tested using the Physionet QT Database. A 100% detection rate on the onset of the QRS complex, with a mean error±(standard deviation) of -0:48 ±(11:26) ms was achieved against the excerpt records of this database. The average QRS-onset detection result for the QT database excluding the "sudden death" records from the database was -0:43 ± (8:72) ms, which is comparable to the results obtained by human physicians.