Alekseev Aleksandr Author

Research Article Open Access

Statistical Methods of ECG Signal Processing in Diagnostics of Coronary Artery Disease

Author(s):

Alekseev Mikhail* and Alekseev Aleksandr*

Objective: Coronary artery disease results in higher morbidity, mortality, and medical costs than any other illness in the developed world. The improvement of coronary artery disease non-invasive detection is still actual problem. The aim of this study was to increase the quality of non-invasive diagnostics of coronary artery disease with statistical technology of ECG signal processing for quantitative assessment the degree of myocardial ischemia and the coronary artery lesion.

Methods and Results: The four minutes 12-channel electrocardiogram was used for the statistical technology of ECG signal processing to gain 200 PQRST complexes. It allowed calculating L criterion from relation of s... view more»

DOI: 10.4172/2324-8602.1000339

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