Государственное бюджетное образовательное учреждение высшего профессионального образования "Тихоокеанский государственный медицинский университет" Министерства здравоохранения Российской Федерации (ГБ
发明人:
Шабанов Геннадий Анатольевич (RU),Рыбченко Александр Алексеевич (RU),Максимов Аркадий Леонидович (RU),Ищенко Виталий Николаевич (RU),Крыжановский Сергей Петрович (RU)
申请号：
RU2014130606
公开号：
RU2014130606A
申请日:
2014.07.22
申请国别(地区):
RU
年份:
2016
代理人:
摘要：
Method rapid diagnosis of cancer, comprising the removal of the induction magnitoentsefalogrammy to form a data frame, a duration of 160 seconds, a narrowband spectral analysis of the resulting data frame with the summation for 160 s, its transformation into the matrix of the set of functional states and identification of diseases with application of statistical and / or neural network classifier, characterized in that in each matrix cell is determined frequency spectral harmonic amplitude Ai and dispersion Di, then calculating the magnitude of each spectral cell, as the inverse of their product, after which the decentralization of the index as a sum of values of all the cells of the spectral matrix at vyrazheniyuI = Σ1 / (Ai × Di), where I- decentralization index value in arbitrary units Ai - amplitude spectral harmonic in relative units Di - its dispersion, the induction magnitoentsefalogrammu removed, at least three information frames with 30-second intervals therebetween, wherein the index is determined for decentralization each received data frame, and use averages calculated values decentralization index, in addition, a value of decentralization index in the range of from 0 to 50 patients referred to a group of healthy, at values referred to as "risk" of 70 to 174 patients with the possibility of benign tumors and other proliferative diseases, for values of more than 200 units include a patient at risk of developing cancer, in addition, with each patient obtained consistently changed her three frequency matrix and IPСпособ экспресс диагностики онкологического заболевания, включающий съем индукционной магнитоэнцефалограммы, с формированием информационного кадра, продолжительностью 160 секунд, узкополосный спектральный анализ полученного информационного кадра, с суммированием за 160 с, его преобразование в матрицу множества функциональных состояний и распознавание заболевания с применения статистического и/или нейросетевого классификатора, отличающийся
