title: Simulation methods for the online extraction of ECG parameters under Matlab/Simulink.
abstract: The classification of cardiac pathologies in the human ECG greatly depends on the reliable extraction of characteristic features. This work presents a complete simulation environment for testing ECG classification algorithms under Matlab/Simulink. Evaluation of algorithm performance is undertaken in full compliance with the ANSI/AAMI standards EC38 and EC57, and ranges from beat-to-beat analysis to the comparison of episode markers (e.g., for VT/VF detection algorithms). For testing the quality of waveform boundary detection, our own testing methods have been implemented in compliance with existing literature.
authors.affiliation: FZI Forschungszentrum Informatik Karlsruhe, Germany.
authors.forename: G
authors.initials: G
authors.lastname: von Wagner
authors.forename: U
authors.initials: U
authors.lastname: Kunzmann
authors.forename: J
authors.initials: J
authors.lastname: Schöchlin
authors.forename: A
authors.initials: A
authors.lastname: Bolz
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D015716:Electrocardiography, Ambulatory / Q000145:classification / Q000295:instrumentation*; D005103:Expert Systems; D005583:Fourier Analysis; D017143:Fuzzy Logic; D006801:Humans; D016571:Neural Networks, Computer; D009862:Online Systems / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012985:Software Design; D017180:Tachycardia, Ventricular / Q000145:classification / Q000175:diagnosis / Q000503:physiopathology