An Application of Pattern Recognition to Echocardiography

Pattern classification methodology has been applied to echocardiography. Utilizing discriminative features generated by Fourier analysis, anterior mitral leaflet waveforms associated with the normal, mitral stenosis, mitral valve prolapse, and idiopathic hypertrophic subaortic stenosis cardiac conditions have been classified in a manner which is unambiguous and which lends itself easily to present day automated technology.

[1]  U. Derman Changes of the mitral echocardiogram with ageing and the influence of atherosclerotic risk factors. , 1972, Atherosclerosis.

[2]  B. Sklar,et al.  A computer analysis of EEG spectral signatures from normal and dyslexic children. , 1973, IEEE transactions on bio-medical engineering.

[3]  D J Mishelevich,et al.  Simple method for computer-aided analysis of echocardiograms. , 1976, The American journal of cardiology.

[4]  H. Feigenbaum,et al.  Movement of the mitral ring: a study in ultrasoundcardiography. , 1967, Cardiovascular research.

[5]  Sahibsingh A. Dudani The Distance-Weighted k-Nearest-Neighbor Rule , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  L. Teichholz Echocardiography in valvular heart disease. , 1975, Progress in cardiovascular diseases.

[7]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[8]  Svante Wold,et al.  Pattern recognition by means of disjoint principal components models , 1976, Pattern Recognit..

[9]  L. L. Bescós,et al.  Mitral valve movement: a study using an ultrasound technique , 1970, British heart journal.

[10]  H. Fozzard,et al.  Digital computer analysis of M‐scan echocardiograms , 1976, Journal of clinical ultrasound : JCU.