METHOD AND SYSTEM FOR THE NON-INVASIVE SCREENING OF PHYSIOLOGICAL PARAMETERS AND PATHOLOGIES

WIPO Patent Application WO/2018/106146

A3

The invention relates to the field of computer science in medicine, and more particularly to methods and systems for screening for different pathologies and determining a person's physiological parameters, and can be used in the field of predictive, diagnostic, preventive and rehabilitative medicine. The present method involves: generating a training set and a test set of patient records pertaining to patients with a specific pathology or having physiological parameters that are dependent on the patients' cardiac function, including records pertaining to patients of different sexes and ages, wherein each record contains at least one cardiac lead ECG signal and patient information; calculating heart rate variability and average cardiac cycle parameters; training an artificial neural network to identify the specific pathology; recording the connections and weights of the trained artificial neural network; obtaining at least one cardiac lead ECG signal and information pertaining to a patient; calculating heart rate variability and average cardiac cycle parameters; and determining the physiological parameters or the presence of the specific pathology. The invention is directed toward increasing the accuracy with which pathologies or physiological parameter values are identified in a patient on the basis of neural simulation.

EZHKOV ALEXANDER VIKTOROVICH (RU)
SUNTSOVA OLGA VALERYEVNA (RU)
BEKMACHEV ALEKSANDR EGOROVICH (RU)
SADOVSKY SERGEI PAVLOVICH (RU)

PCT/RU2017/000868

August 16, 2018

November 21, 2017

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EZHKOV ALEXANDER VIKTOROVICH (RU)

A61B5/0452; G06Q50/22

US20140194702A1	2014-07-10
RU82536U1	2009-05-10

ABRAMENKO, Oleg Igorevich (RU)

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