FIELD: computer technology; medicine.
SUBSTANCE: group of inventions relates to the field of computer technology in medicine, namely cardiology, in particular to methods and systems for non-invasive diagnosis of coronary heart disease (CHD), and can be used for the diagnosis of coronary heart disease, including in the field of predictive, diagnostic, preventive and rehabilitation medicine. A method for noninvasive computer diagnostics of coronary heart disease is proposed, including the following steps: ECG signals in the patient’s lead I at rest are received; ECG signals in the patient’s lead V5 during a test under load are received; the received ECG signals are processed, forming a vector of signs under load and a vector of signs of rest, the quality of the ECG signal is determined; the assessment of coronary heart disease at rest using a model for resting ECG based on the formed vector of signs of rest is determined; the assessment of coronary heart disease during exercise using a model for ECG under load based on the formed vector of signs under load is determined, and the choice of a specific model depends on the quality of the ECG signal; the integral indicator of coronary heart disease is determined using an assessment of coronary heart disease at rest and an assessment of coronary heart disease during a test under load. A method for noninvasive computer diagnostics of coronary heart disease is also proposed, including the following steps: receiving ECG signals in the patient’s lead I at rest; processing the received ECG signals, forming a vector of signs of rest; assessment of coronary heart disease at rest is determined using at least one model for a resting ECG based on the formed vector of signs of rest. A method for noninvasive computer diagnostics of coronary heart disease is also proposed, including the following steps: receiving ECG signals in the patient’s V5 lead during a test under load; processing the received ECG signals, forming a vector of signs under load, determining the quality of the ECG signal; the assessment of coronary heart disease during exercise is determined using an ECG model under load based on the formed vector of signs under load, and the choice of the model depends on the quality of the ECG signal.
EFFECT: group of inventions provides an increase in the accuracy and efficiency of the determination of coronary heart disease by ECG.
17 cl, 68 dwg
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Authors
Dates
2021-11-09—Published
2020-12-25—Filed