[The use of non-linear methods of statistical analysis in the differential electrocardiographic diagnosis of hypertrophic cardiomyopathy (data from precordial mapping)].
An algorithm was proposed to make a differential diagnosis of hypertrophic cardiomyopathy by precordial ECG mapping in 35 leads (PECG-35) of 82 patients with hypertrophic cardiomyopathy and 339 matched patients: those with isolated left and right ventricular hypertrophy, concurrent ventricular hypertrophy, those with coronary heart disease having scars of various sites and having no cicatricial myocardial changes, including those in the presence of left ventricular hypertrophy, as well as 98 healthy individuals. Computer-aided analysis of their mapping was used to calculate the area of Q, R, S, T waves and ST segment and the prolongation of QRS complex. ECG parameters were analyzed by using cluster and dispersion analyses and the kNN method. The cluster analysis of PECG-35 made it possible to divide all the data on hypertrophic cardiomyopathy into 2 groups. For each the complexes of PECG-35 parameters were identified, in whose range the kNN method differentiated hypertrophic cardiomyopathy with a broad spectrum of abnormalities at a high sensitivity of 67-75% and a specificity of 86-90%.
Saltykova
M M
MM
Riabykina
G V
GV
Sobolev
A V
AV
D000465:Algorithms; D006332:Cardiomegaly / Q000175:diagnosis; D002312:Cardiomyopathy, Hypertrophic / Q000175:diagnosis*; D016000:Cluster Analysis; D003327:Coronary Disease / Q000175:diagnosis; D003937:Diagnosis, Differential; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012680:Sensitivity and Specificity
Ispol'zovanie metodov nelineĭnogo ctaticheskogo analiza v differentsial'noĭ élektrokardiograficheskoĭ diagnostike gipertroficheskoĭ kardiomiopatii (dannye prekordial'nogo kartirovaniia).