title: QRS detection using S-Transform and Shannon energy.
abstract: This paper presents a novel method for QRS detection in electrocardiograms (ECG). It is based on the S-Transform, a new time frequency representation (TFR). The S-Transform provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. We exploit the advantages of the S-Transform to isolate the QRS complexes in the time-frequency domain. Shannon energy of each obtained local spectrum is then computed in order to localize the R waves in the time domain. Significant performance enhancement is confirmed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.84%, a positive predictivity of 99.91% and an error rate of 0.25%. Furthermore, to be more convincing, the authors illustrated the detection parameters in the case of certain ECG segments with complicated patterns.
authors.affiliation: Mouloud Mammeri University, Tizi-Ouzou, Algeria. Electronic address: z-zidelmal@mail.ummto.dz.
authors.forename: Z
authors.initials: Z
authors.lastname: Zidelmal
authors.affiliation: Mouloud Mammeri University, Tizi-Ouzou, Algeria. Electronic address: a-amirou@mail.ummto.dz.
authors.forename: A
authors.initials: A
authors.lastname: Amirou
authors.affiliation: MIPS Laboratory, University of Haute Alsace, 68093 Mulhouse Cedex, France. Electronic address: djaffar.ould-abdeslam@uha.fr.
authors.forename: D
authors.initials: D
authors.lastname: Ould-Abdeslam
authors.affiliation: MIPS Laboratory, University of Haute Alsace, 68093 Mulhouse Cedex, France. Electronic address: ali.moukadem@uha.fr.
authors.forename: A
authors.initials: A
authors.lastname: Moukadem
authors.affiliation: MIPS Laboratory, University of Haute Alsace, 68093 Mulhouse Cedex, France. Electronic address: alain.dieterlen@uha.fr.
authors.forename: A
authors.initials: A
authors.lastname: Dieterlen
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted
keywords: QRS detection; S-Transform; Shannon energy