Raudsepp Sergej Vladimirovich (RU),Раудсепп Сергей Владимирович (RU),Dan Marina Vladimirovna (RU),Дан Марина Владимировна (RU),Davydov Aleksej Alekseevich (RU),Давыдов Алексей Алексеевич (RU)
申请号：
RU2017129992
公开号：
RU0002671869C1
申请日:
2017.08.24
申请国别(地区):
RU
年份:
2018
代理人:
摘要：
FIELD: medicine.SUBSTANCE: group of inventions relates to medical diagnostics, the method and system for determining the potential for the development of higher mental functions and skills of a person. Carry out the following stages of the method. (A) – presenting loads to the user containing tasks to be performed by the user. (B) – registering at least one signal of the bioelectric activity of the user's brain in different states, corresponding to the user performing loads related to the studied higher mental functions. (C) – marking of at least one registered signal of the bioelectrical activity of the brain with signs of the user performing the load at the moment, as well as marking the type of load imposed on a user, or marking the absence of a user performing a shown load. (D) – verifying at least one registered signal by the criterion of sufficiency, the criterion of purity and the criterion of sensitivity. (E) – smoothing of at least one registered signal by the moving average method for a given depth of epoch to determine the average characteristics of the signal and the user's brain in each of the states of performance of the loads imposed on the user. (F) – calculating the deviations of the average characteristics of the signal and the user's brain in each of the states of the user’s performance of shown loads from the characteristics of the state of quiet wakefulness defined in (E). (G) – providing the user with the aforementioned calculated deviations of the average characteristics in (F) in the form of diagrams of values along the edges of the intellect. (H) – calculating and storing a matrix of coefficients of average characteristics for users with reliably confirmed alternative method of success in one or several edges of intelligence. (I) – using matrix (H) in the calculations (F) as an element of determining the scalar distance. System contains modules that allow you to perform the above techniques using the mathematical calculations of the neuromet
