RU2704547C1 - Method for remote collection and group treatment of psychophysiological reactions with presentation of various information - Google Patents

Abstract

FIELD: medicine.

SUBSTANCE: invention refers to medicine, namely to data processing for special applications. Presenting information in text, audio, video form. Individual response to presented information is recorded by determining motor activity or EEG biopotentials. Processing of obtained data is performed based on registration of individual reactions. At the first stage, in each individual set of indicators, differences between stimuli of reference categories are calculated using the corresponding statistical criterion of differences for each of the analyzed primary indicators. Further, the obtained values reflecting the discriminating power of each primary index are subject to factor analysis separately for amplitude and time values. Values of the obtained factors are calculated. After that, respondents are combined into groups based on which of the factors has the maximum value. At the second processing step, text, audio and video stimuli are evaluated using a system of criteria obtained at the previous step. Differences between stimuli of different categories are calculated for each primary index. Further, these values and factor coefficients obtained at the first stage are used to calculate values of factors grouping primary values. For each stimulus in the space of primary features using the discriminant functions, the degree of belonging to the class of one of the reference estimates in each group formed at the first stage is calculated. Obtained classification results are weighed using the value of the factor on which the given group was constructed. Weighted classification results for each group of indicators are added.

EFFECT: method enables remote collection and group treatment of individual psychophysiological reactions of motor activity and neurophysiological indices of human brain, generate arrays of group user data, which after processing, due to their volume, enable to obtain group indices of relation to information associated with recorded reactions.

1 cl, 4 dwg

Description

The invention relates to devices or methods for digital computing or data processing for special applications.

Known methods for recording the individual characteristics of a computer user based on the measurement of physiologically determined features of his work with a computer keyboard, for example, by calculating the time intervals between keystrokes. So, for example, from the document US 20080214903 A1 (published. 04.09.2008) a system and method are known for monitoring one or more physiological parameters of a user. The system according to the invention includes one or more wearable sensor modules that define one or more physiological parameters.

The technical task to be solved is to obtain group statistics on the nature of the response to the presented information in the form of images, text, video, etc. At the same time, objectively recorded reactions are evaluated - an electroencephalogram, indicators of motor activity.

The technical result of the claimed invention is automated statistical processing of individual psychophysiological reactions of users associated with the presentation of information and the formation of group statistical evaluations characterizing the information presented.

The claimed technical problem is solved, and the technical result is achieved by the claimed method of obtaining and processing data on motor activity and neurophysiological indicators of the human brain when presenting information in text, audio, video and other forms, allowing you to collect and analyze this data remotely on large groups of users and based on the registration of individual reactions to form arrays of group user data, which after processing, due to its volume, allows yayut receive group ratios to the information related to registrable reactions, and concludes that

at the first stage, in each individual set of indicators, the differences between the stimuli of the reference categories are calculated (using the corresponding statistical criterion of differences) for each of the analyzed primary indicators, then the obtained values, which reflect the discriminatory ability of each primary indicator, are subjected to factor analysis separately for the amplitude and time indicators according to each sensor and calculate the values of the factors obtained, after which the respondents are combined into groups based on which of the factors was of maximum importance, and the second stage of processing is to obtain estimates of incentives using the system of criteria obtained in the previous stage, while the processing algorithm of a separate procedure includes the stages in which:

1 / calculate the differences between stimuli of different categories for each primary indicator,

2 / further, according to these values and factor coefficients obtained in the first stage, the values of factors grouping the primary indicators are calculated,

3 / for each stimulus in the space of primary signs using discriminant functions calculate the degree of belonging to the class of one of the reference estimates in each group formed in the first stage,

4 / the results of the classification are weighed using the value of the factor by which this group was built, based on the results of paragraph 2,

5 / weighted classification results for each group of indicators add up.

Individual psychophysiological reactions are recorded using individual devices of the class of a smartphone or tablet computer, as well as an individual device for recording brain biopotentials (EEG). Presentation of information during the registration process is carried out on individual devices of the class of a mobile phone, tablet, desktop computer or laptop, as well as by other means, providing information to the user through various sensory channels - visual, auditory, tactile, etc.

Information (content) in the form of images, text, video, etc. loaded on the server. The server prepares the presentation of content in the form of a script from a set of fragments, taking into account their number and exposure time. The prepared script is sent to the individual device. The user launches a script presentation program, which, during presentation, registers indicators of its motor (motor) activity. At the end of the presentation of the script, data on motor activity are sent to the server. The server processes this user data and generates group statistical estimates characterizing the presented information (content).

The resulting technical result contains a combination of two areas:

- to obtain group statistical estimates, the results of a remote survey of large groups of users are used;

- group statistical estimates based on the registration of physiological indicators.

A block diagram of the structural components and their interactions when implementing the method is shown in FIG. one

A block diagram of the implementation of the module for presenting information and recording indicators on an individual device is shown in FIG. 2.

The processing of reactions recorded by the individual device of each respondent is as follows. At the first stage, in each individual set of indicators, differences between the stimuli of the reference categories (using the corresponding statistical criterion of differences) for each of the analyzed primary indicators are calculated. Further, the obtained values, reflecting the discriminatory ability of each primary indicator, are subjected to factor analysis separately for the amplitude and time indicators (principal component method, varimax rotation) for each sensor and the values of the obtained factors are calculated. After that, respondents are grouped on the basis of which of the factors was of maximum importance.

The second stage of processing consists in obtaining stimulus estimates using the system of criteria obtained in the previous stage. The processing algorithm of a separate procedure can be represented as follows.

1. Similar to how this happened in the first stage, the differences between the stimuli of different categories for each primary indicator are calculated.

2. Next, based on these values and factor coefficients obtained in the first stage, the values of factors grouping the primary indicators are calculated.

3. For each stimulus in the space of primary signs, using discriminant functions, the degree of belonging to the class of one of the reference estimates in each group formed in the first stage is calculated.

4. The obtained classification results are weighted using the value of the factor by which this group was built, based on the results of paragraph 2.

5. Weighted classification results for each group of indicators are added up.

The processing scheme of individual EEG reactions is shown in FIG. 3.

The scheme of processing a single evoked potential is shown on the example of the right frontal abduction (F4). P1, P2, N2 - components of the evoked potential, Ampl - amplitude values, Lat - latency values.

The same processing algorithm is used for all other EEG leads for all respondents.

Processing of the data thus accumulated is performed on the server by multidimensional analysis of indicators obtained from various sensors of the individual device, reflecting the characteristics of the physiological reaction that occurs in response to the presentation of information.

The variability of physiological responses on the example of registration of motor reactions when presenting information of different contents is shown in FIG. four.

The variability of physiological responses is determined by the content of the presented information. The analysis of variability for a group of respondents allows you to evaluate information in terms of its significance in relation to the selected evaluation criteria.

Claims (8)

The method of remote collection and group processing of psychophysiological reactions of motor activity and neurophysiological indicators of the human brain, including the presentation of information in text, audio, video form, then the individual human response to the presented information is recorded by determining motor activity or EEG biopotentials, based on the registration of individual reactions processing the received data, namely: at the first stage, in each individual set of indicators, the differences between the stimuli of the reference categories are calculated using the corresponding statistical criterion of differences for each of the analyzed primary indicators, then the obtained values, which reflect the discriminatory ability of each primary indicator, are subjected to factor analysis separately for amplitude and time indicators and the values are calculated of the factors obtained, after that the respondents are grouped on the basis of which factor It has a maximum value; at the second processing stage, the text, audio, and video stimuli are estimated using the system of criteria obtained at the previous stage, and the second stage includes the steps 1) calculate the differences between the stimuli of different categories for each primary indicator, 2) then, based on these values and factor coefficients obtained in the first stage, the values of factors grouping the primary indicators are calculated, 3) for each stimulus in the space of primary signs using discriminant functions calculate the degree of belonging to the class of one of the reference estimates in each group formed in the first stage, 4) the results of the classification are weighed using the value of the factor by which this group was built, based on the results of paragraph 2, 5) weighted classification results for each group of indicators add up.

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