title: Applicability of multiresolution wavelet analysis for QRS-waves detection.
abstract: The aim of this study is to create highly effective QRS-detector of electrocardiographic (ECG) signal based on the multiresolution wavelet analysis, set of nonlinear transforms and adaptive thresholding. The efficiency of various QRS-waves detectors for processing model ECG signals contaminated by artificially simulated intensive noise and artifacts was researched. The performance of the proposed method as well as some other well-known algorithms for QRS-waves detection was further verified for clinical ECG recordings from the Physionet MIT-BIH Arrhythmia database.
authors.forename: Aleksandr A
authors.initials: AA
authors.lastname: Fedotov
authors.forename: Anna S
authors.initials: AS
authors.lastname: Akulova
authors.forename: Sergey A
authors.initials: SA
authors.lastname: Akulov
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis*; D016477:Artifacts; D016208:Databases, Factual; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis