title: Echocardiogram analysis in a pattern recognition framework.
abstract: Echocardiogram analysis is treated in a pattern recognition framework. Anterior mitral leaflet waveforms are classified for the four-class problem consisting of the classes "normal," "mitral stenosis," "mitral valve prolapse," and "idiopathic hypertrophic subaortic stenosis." In addition, aortic root waveforms and left ventricular wall waveforms are classified for the two-class problem consisting of the classes "normal" and "idiopathic hypertrophic subaortic stenosis." One common method of analysis (Fourier analysis) underlies each classification scheme. Classification accuracy is sufficiently good to warrant the inference that successful automated decision-making based on the algorithms investigated is feasible.
mesh_terms: D001021:Aortic Valve / Q000502:physiology; D002312:Cardiomyopathy, Hypertrophic; D004452:Echocardiography; D005583:Fourier Analysis; D006801:Humans; D008943:Mitral Valve / Q000502:physiology; D008945:Mitral Valve Prolapse / Q000503:physiopathology; D008946:Mitral Valve Stenosis / Q000503:physiopathology; D009200:Myocardial Contraction; D010363:Pattern Recognition, Automated; D016276:Ventricular Function