An algebraic derivative-based method for R wave detection

Sonia Rezk (1, 2) , Cédric Join (3) , Sadok El Asmi (1)

1 MASC - Département Mathématiques Appliquées, Signaux et Communications
2 Laboratoire de Biophysique [Monastir]
3 CRAN - Centre de Recherche en Automatique de Nancy

In this paper, a new robust method for R wave detection in ECG sig- nal is proposed by using algebraic derivative estimation based tech- nique. In fact, this new and efficient method relies on differential algebra, non-commutative algebra together with operational calcu- lus. This technique allows noisy signal to be filtered via iterated time integrals and R wave slope to be emphasized. The ECG signal is then Hilbert transformed to be enhanced and threshold compared. The performance of the algorithm was tested by using the annotated records of MIT-BIH Arrhythmia Database. The robustness of the proposed R wave detector in presence of noise was also tested ac- cording to records from MIT-BIH Noise Stress Test Database. The overall performance is quite good even SNR as low as 6 dB.

Domaines: Automatique

Sonia Rezk, Cédric Join, Sadok El Asmi. An algebraic derivative-based method for R wave detection. 19th European Signal Processing Conference, EUSIPCO 2011, Aug 2011, Barcelone, Spain. ⟨hal-00670422⟩