title: An approach to QRS complex detection using mathematical morphology.
abstract: An approach to QRS complex detection based on mathematical morphology is presented in this communication. QRS complexes are detected by the application of a simple morphological operator. This operator works as a peak-valley extractor and it is controlled by the shape of the structuring element. A set (horizontal line segment) is used as structuring element resulting in very fast execution times. The accuracy of this approach has been tested using a standard ECG library; a sensitivity of 99.38% and a positive predictivity of 99.48% have been achieved.
authors.affiliation: Department of Electrical and Computer Engineering, University of Toronto, Ont., Canada.
authors.forename: P E
authors.initials: PE
authors.lastname: Trahanias
mesh_terms: D003661:Decision Support Techniques; D004562:Electrocardiography / Q000379:methods*; D005069:Evaluation Studies as Topic; D006331:Heart Diseases / Q000175:diagnosis* / Q000453:epidemiology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008433:Mathematics; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted