Use of mathematical methods for analysis of vectorcardiograms in the diagnosis of cor pulmonale in middle-aged and aged patients

Analysis of vectorgrams obtained in 85 patients aged 60-79 years with chronic pulmonary heart and 64 patients aged 30-49 years allowed this disease to be diagnosed in 90.7% of elderly and senile patients at the stage of compensation and in all cases in combination with decompensation. With aging, co...

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Bibliographic Details
Published inKardiologiia Vol. 30; no. 8; p. 28
Main Authors Korkushko, O V, Vozniuk, V V
Format Journal Article
LanguageRussian
Published Russia (Federation) 01.08.1990
Subjects
Adult
Age Factors
Aged
Algorithms
Cardiomegaly - diagnosis
Heart Ventricles
Humans
Middle Aged
Models, Biological
Pulmonary Heart Disease - diagnosis
Regression Analysis
Signal Processing, Computer-Assisted
Vectorcardiography
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ISSN0022-9040

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Summary:Analysis of vectorgrams obtained in 85 patients aged 60-79 years with chronic pulmonary heart and 64 patients aged 30-49 years allowed this disease to be diagnosed in 90.7% of elderly and senile patients at the stage of compensation and in all cases in combination with decompensation. With aging, combined ventricular hypertrophy was found to be one of the most typical features of chronic pulmonary heart. This was evidenced by vector cardiography in 79.1-88.9% of the examinees from different groups. A complex of the most informative VCG signs of chronic pulmonary heart was proposed for patients from various age groups. For more rapid recognition of chronic pulmonary heart, a rapid VCG diagnostic technique was developed and recommended for the disease. By using a regression analysis, a mathematical model of VCG diagnosis was constructed for chronic pulmonary heart in elderly and senile patients.
ISSN:0022-9040