Simulation methods for the online extraction of ECG parameters under Matlab/Simulink.
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.
von Wagner
G
G
FZI Forschungszentrum Informatik Karlsruhe, Germany.
Kunzmann
U
U
Schöchlin
J
J
Bolz
A
A
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