title: R-peaks detection based on stationary wavelet transform.
abstract: Automatic detection of the QRS complexes/R-peaks in an electrocardiogram (ECG) signal is the most important step preceding any kind of ECG processing and analysis. The performance of these systems heavily relies on the accuracy of the QRS detector. The objective of present work is to drive a new robust method based on stationary wavelet transform (SWT) for R-peaks detection. The decimation of the coefficients at each level of the transformation algorithm is omitted, more samples in the coefficient sequences are available and hence a better outlier detection can be performed. Using the information of local maxima, minima and zero crossings of the fourth SWT coefficient detail, the proposed algorithm identifies the significant points for detection and delineation of the QRS complexes, as well as detection and identification of the QRS individual waves peaks of the pre-processed ECG signal. Various experimental results show that the proposed algorithm exhibits reliable QRS detection as well as accurate ECG delineation, achieving excellent performance on different databases, on the MIT-BIH database (Se=99.84%, P=99.88%), on the QT Database (Se=99.94%, P=99.89%) and on MIT-BIH Noise Stress Test Database, (Se=95.30%, P=93.98%). Reliability and accuracy are close to the highest among the ones obtained in other studies. Experiments results being satisfactory, the SWT may represent a novel QRS detection tool, for a robust ECG signal analysis.
authors.affiliation: LAMIH, UMR CNRS 8201 UVHC Laboratory of industrial and Human Automation, Mechanics anc Computer Sciences, Université de Valenciennes et du Hainaut Cambrésis, Bat Malvache, 1er étage, bureau 204, Le mont Houy, 59313 Valenciennes Cedex 9, France; Laboratoire Signaux et Images (LSI), Département Electronique, Faculté Génie Electrique Université USTO-MB, B.P 1505, El M'Naouar, Bir el Djir- Oran, Algeria. Electronic address: merahmus@gmail.com.
authors.forename: M
authors.initials: M
authors.lastname: Merah
authors.affiliation: LAMIH, UMR CNRS 8201 UVHC Laboratory of industrial and Human Automation, Mechanics anc Computer Sciences, Université de Valenciennes et du Hainaut Cambrésis, Bat Malvache, 1er étage, bureau 204, Le mont Houy, 59313 Valenciennes Cedex 9, France. Electronic address: taleb@univ-valenciennes.fr.
authors.forename: T A
authors.initials: TA
authors.lastname: Abdelmalik
authors.affiliation: Laboratoire Signaux et Systèmes (LSS), Université Abdelhamid Ibn Badis de Mostaganem, Route Belahcel, 27000 Mostaganem, Algeria. Electronic address: hadj70@yahoo.fr.
authors.forename: B H
authors.initials: BH
authors.lastname: Larbi
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D006801:Humans; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted
keywords: ECG; R-peaks detection; Stationary wavelet transform (SWT); Wavelet transform