CN116392149A - Brain cognitive state recognition method, device and storage medium - Google Patents

Abstract

The application discloses a brain cognitive state identification method, a device and a storage medium, and relates to the technical field of signal processing, wherein the method comprises the following steps: acquiring an electroencephalogram signal of a target patient at a target acquisition point, wherein the target acquisition point comprises at least two acquisition points of a target brain region; acquiring power frequency distribution of each acquisition point in the target brain region in an alpha frequency band according to the electroencephalogram signals; and identifying the cognitive state of the target brain region according to the acquired power frequency distribution. The problem of the recognition accuracy is lower and efficiency is lower in the prior art is solved, and the effect that the cognitive state can be automatically recognized according to the power frequency distribution, and then the accuracy and recognition efficiency are improved is achieved.

Description

Brain cognitive state recognition method, device and storage medium

Technical Field

The invention relates to a brain cognitive state identification method, a device and a storage medium, belonging to the technical field of signal processing.

Background

In the process of monitoring a patient, medical staff needs to know the brain state of the patient in time, and then intervenes the patient in time according to the brain state obtained by recognition.

In the existing scheme, after acquiring the brain electrical signal of a patient, medical staff needs to manually analyze the brain electrical signal so as to determine the brain state of the patient. Obviously, manual analysis has higher requirements on medical staff and is subjectively influenced by the medical staff, and the analysis result may have errors and the analysis efficiency of the manual analysis is lower.

Disclosure of Invention

The invention aims to provide a brain cognitive state identification method, a device and a storage medium, which are used for solving the problems existing in the prior art.

In order to achieve the above purpose, the present invention provides the following technical solutions:

according to a first aspect, an embodiment of the present invention provides a method for identifying a cognitive state of a brain, the method comprising:

acquiring an electroencephalogram signal of a target patient at a target acquisition point, wherein the target acquisition point comprises at least two acquisition points of a target brain region;

acquiring power frequency distribution of each acquisition point in the target brain region in an alpha frequency band according to the electroencephalogram signals;

and identifying the cognitive state of the target brain region according to the acquired power frequency distribution.

Alternatively, the process may be carried out in a single-stage,

the target brain region comprises a left brain region, and the target acquisition points comprise at least two acquisition points in the left brain region;

the target brain region comprises a right brain region, and the target acquisition points comprise at least two acquisition points in the right brain region;

the target brain region comprises a left brain region and a right brain region, and the target acquisition points comprise at least two acquisition points in the left brain region and at least two acquisition points in the right brain region.

Optionally, the acquiring the power frequency distribution of each acquisition point in the target brain area in the alpha frequency band according to the electroencephalogram signal includes:

and generating a power frequency distribution diagram of the brain signal power of each acquisition point according to the brain signal of the target brain region by taking each acquisition point and each frequency in the alpha frequency band as the abscissa and the ordinate for the target brain region.

Optionally, the generating, according to the electroencephalogram signal of the target brain region, a power frequency distribution diagram with each acquisition point and each frequency in the alpha frequency band as an abscissa, including the electroencephalogram signal power of each acquisition point includes:

and generating a power frequency distribution diagram of the power represented by the color according to the electroencephalogram signal of the target brain region by taking each frequency in the alpha frequency band as an abscissa and each acquisition point as an ordinate, wherein different powers correspond to different colors.

Optionally, the target brain region includes a left brain region and a right brain region, each frequency in the alpha frequency band is taken as an abscissa, each acquisition point is taken as an ordinate, and a power frequency distribution diagram of power represented by color is generated according to the electroencephalogram signal of the target brain region, including:

and for each brain region, each frequency in the alpha frequency band is taken as an abscissa, each acquisition point is taken as an ordinate, and a power frequency distribution diagram representing power through colors is generated according to the brain electrical signals of the brain region.

Optionally, the identifying the cognitive state of the target brain region according to the acquired power frequency distribution includes:

detecting whether the power difference of the at least two acquisition points in the target frequency band is in a preset range or not according to the acquired power frequency distribution; the target frequency band is a target frequency + -Z, and the Z is smaller than a preset threshold value;

and if the detection result shows that the power difference is within the preset range, recognizing that the cognitive state of the target brain area is normal.

Optionally, if the detection result is that the power difference is not within the preset range, identifying that the cognitive state disorder exists in the target brain region.

Optionally, the method further comprises:

obtaining the age of the target patient;

and acquiring the target frequency according to the age.

In a second aspect, there is provided a brain cognitive state recognition device comprising a memory having stored therein at least one program instruction and a processor that implements the method of the first aspect by loading and executing the at least one program instruction.

In a third aspect, there is provided a computer storage medium having stored therein at least one program instruction that is loaded and executed by a processor to implement the method of the first aspect.

Acquiring an electroencephalogram signal of a target patient at a target acquisition point, wherein the target acquisition point comprises at least two acquisition points of a target brain region; acquiring power frequency distribution of each acquisition point in the target brain region in an alpha frequency band according to the electroencephalogram signals; and identifying the cognitive state of the target brain region according to the acquired power frequency distribution. The problem of the recognition accuracy is lower and efficiency is lower in the prior art is solved, and the effect that the cognitive state can be automatically recognized according to the power frequency distribution, and then the accuracy and recognition efficiency are improved is achieved.

The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings.

Drawings

FIG. 1 is a schematic view of an autonomous mobile chassis according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of each acquisition point when acquiring an EEG signal according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of one possible generated power frequency distribution map of the left brain region according to one embodiment of the present invention;

fig. 4 is a schematic diagram of a power frequency distribution diagram of a right brain region according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.

In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.

Referring to fig. 1, a flowchart of a method for identifying a cognitive brain state according to an embodiment of the present application is shown, and as shown in fig. 1, the method includes:

step 101, acquiring an electroencephalogram signal of a target patient at a target acquisition point, wherein the target acquisition point comprises at least two acquisition points of a target brain region;

the human brain comprises two lateral hemispheres, each lateral hemispheres is divided into a plurality of brain regions, and the cognitive activities are cooperatively completed by the plurality of brain regions. The application can recognize the cognitive state of a unilateral brain region and can recognize the cognitive state of two brain regions simultaneously, so that the target brain region can be a left brain region, a right brain region or both. Also, in one possible embodiment:

the target brain region comprises a left brain region, and the target acquisition points comprise at least two acquisition points in the left brain region;

the signal acquisition conditions of this embodiment are: sampling rate 512Hz, low pass filtering 30Hz, high pass filtering 0.5Hz, and collecting points in the scalp electrode of the individual at 19 collecting points of 10-20 International systems, such as Fp1, F3, F7, T3, C3, T5, P3, O1 on the left side of the brain, fp2, F4, F8, T4, C4, T6, P4, O2 on the right side of the brain, and collecting points in the middle line of the brain, with earlobes as reference electrodes. For example, please refer to fig. 2, which shows a schematic diagram of each acquisition point when the present application acquires an electroencephalogram signal. In the present embodiment, when the target brain region includes the left brain region, the target acquisition points include at least two of 8 acquisition points in the left brain region, and in order to improve the recognition accuracy, the present application exemplifies that the target acquisition points include the above 8 acquisition points at the same time.

The target brain region comprises a right brain region, and the target acquisition points comprise at least two acquisition points in the right brain region;

similarly to the left brain region, when the target brain region includes the right brain region, the target acquisition point may include at least two of 8 acquisition points in the right brain region, and in order to improve the recognition accuracy, the present application exemplifies that the target acquisition point includes the above 8 acquisition points at the same time.

The target brain region comprises a left brain region and a right brain region, and the target acquisition points comprise at least two acquisition points in the left brain region and at least two acquisition points in the right brain region.

When the target brain region includes both the left brain region and the right brain region, the target acquisition point may include at least two acquisition points on both left and right sides. In actual implementation, the system may include 8 acquisition points on the left side and 8 acquisition points on the right side.

102, acquiring power frequency distribution of each acquisition point in the target brain region in an alpha frequency band according to the electroencephalogram signals;

the frequency range of the alpha frequency band in the application is 7Hz-13Hz.

After the electroencephalogram signals of each acquisition point are acquired, the frequency of each acquisition point and the power of the electroencephalogram signals can be determined according to the electroencephalogram signals of each acquisition point. And then, the power frequency distribution of each acquisition point in the alpha frequency band can be obtained, and the corresponding relation between each frequency and power of each acquisition point in the alpha frequency band can be obtained.

In one possible embodiment, the step includes: and generating a power frequency distribution diagram of the brain signal power of each acquisition point according to the brain signal of the target brain region by taking each acquisition point and each frequency in the alpha frequency band as the abscissa and the ordinate for the target brain region. Wherein, when the target brain region includes a left brain region and a right brain region, the above steps may be performed separately for each side brain region.

In actual implementation, each frequency in the alpha frequency band is taken as an abscissa, each acquisition point is taken as an ordinate, a power frequency distribution diagram of the power represented by the color is generated according to the electroencephalogram signal of the target brain region, and different powers correspond to different colors.

In actual implementation, different powers correspond to different colors, or different power segments correspond to different colors. For example, the red, orange, yellow, green, cyan, blue and violet are used for respectively corresponding to different powers from high to low. Alternatively, the specific corresponding manner may be set according to the power value range of the electroencephalogram signal, which is not limited.

For example, in one possible embodiment, the maximum power of the electroencephalogram signal at each acquisition point is 0.35, then it corresponds to red, the minimum power is 0 corresponds to purple, and the middle is sequentially excessive. When the power of the F7 acquisition point in the left brain region at 11.5Hz in the alpha frequency band is 0.35, the power can be represented by red at the abscissa of 11.5Hz and the ordinate of F7, and similarly, the other acquisition points are represented by similar representation manners, which is not described in detail herein.

In one possible embodiment, please refer to fig. 3 and 4, which illustrate one possible power frequency profile of the resulting left and right brain regions, respectively.

And step 103, identifying the cognitive state of the target brain area according to the acquired power frequency distribution.

Optionally, the step may include the steps of:

firstly, detecting whether the power difference of at least two acquisition points in a target frequency band is in a preset range or not according to the acquired power frequency distribution; the target frequency band is a target frequency + -Z, and the Z is smaller than a preset threshold value;

because of all differences in the normal stable frequencies of cognitive states in different age groups, the step can further comprise:

(1) Acquiring the age of the target patient;

(2) And acquiring the target frequency according to the age.

For example, if the age of the target patient is under 18 years, the target frequency may be the first frequency; if the age of the target patient is above 18 years, the target frequency is the second frequency. Wherein the first frequency is less than the second frequency. For example, the first frequency is 9Hz and the second frequency is 11.5Hz.

The preset range is from the first power to the second power, and the difference value between the first power and the second power is smaller than a difference value threshold. That is, this step detects whether the power of each acquisition point in the target frequency band is stable.

And secondly, if the detection result shows that the power difference is within the preset range, recognizing that the cognitive state of the target brain area is normal.

If the detection result shows that the power difference is within the preset range, the power is stable, and the cognitive state of the target brain region can be identified as normal.

Thirdly, if the detection result is that the power difference is not in the preset range, recognizing that the cognitive state disorder exists in the target brain region.

Otherwise, it is recognized that cognitive state disorder exists.

In actual implementation, if the power difference of each acquisition point in other frequency bands of the offset target frequency band is within a preset range, recognizing that the cognitive state of the target brain area has physiological decline.

The above-mentioned is only exemplified by the automatic identification through the above-mentioned identification mode, optionally, after the power frequency distribution of each acquisition point is obtained, the obtained distribution can be displayed, and the medical staff can manually identify the cognitive state according to the above-mentioned rule according to the displayed distribution map, that is, the power frequency distribution provides assistance for the medical staff, so that the identification accuracy and the identification efficiency of the medical staff are improved.

In summary, by acquiring the electroencephalogram signal of the target patient at the target acquisition points, the target acquisition points comprise at least two acquisition points of the target brain region; acquiring power frequency distribution of each acquisition point in the target brain region in an alpha frequency band according to the electroencephalogram signals; and identifying the cognitive state of the target brain region according to the acquired power frequency distribution. The problem of the recognition accuracy is lower and efficiency is lower in the prior art is solved, and the effect that the cognitive state can be automatically recognized according to the power frequency distribution, and then the accuracy and recognition efficiency are improved is achieved.

According to the method and the device, the power frequency distribution map is generated, the power of each acquisition point is represented through the colors in the distribution map, so that medical staff can intuitively identify the cognitive state of a target patient through the power frequency distribution map, and the accuracy of cognitive state identification is further improved.

The present application also provides a brain cognitive state recognition device comprising a memory having at least one program instruction stored therein and a processor that implements the method as described above by loading and executing the at least one program instruction.

The present application also provides a computer storage medium having stored therein at least one program instruction that is loaded and executed by a processor to implement the method as described above.

The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (10)

1. A method of recognizing a cognitive state of a brain, the method comprising:

acquiring an electroencephalogram signal of a target patient at a target acquisition point, wherein the target acquisition point comprises at least two acquisition points of a target brain region;

acquiring power frequency distribution of each acquisition point in the target brain region in an alpha frequency band according to the electroencephalogram signals;

and identifying the cognitive state of the target brain region according to the acquired power frequency distribution.

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the target brain region comprises a left brain region, and the target acquisition points comprise at least two acquisition points in the left brain region;

the target brain region comprises a right brain region, and the target acquisition points comprise at least two acquisition points in the right brain region;

the target brain region comprises a left brain region and a right brain region, and the target acquisition points comprise at least two acquisition points in the left brain region and at least two acquisition points in the right brain region.

3. The method according to claim 1 or 2, wherein said obtaining a power frequency distribution of each acquisition point in the target brain region in the alpha frequency band from the electroencephalogram signal comprises:

and generating a power frequency distribution diagram of the brain signal power of each acquisition point according to the brain signal of the target brain region by taking each acquisition point and each frequency in the alpha frequency band as the abscissa and the ordinate for the target brain region.

4. A method according to claim 3, wherein said generating a power frequency distribution map of the brain electrical signal power at each acquisition point and at each frequency in the alpha frequency band, including the respective acquisition point, from the brain electrical signal of the target brain region, comprises:

and generating a power frequency distribution diagram of the power represented by the color according to the electroencephalogram signal of the target brain region by taking each frequency in the alpha frequency band as an abscissa and each acquisition point as an ordinate, wherein different powers correspond to different colors.

5. The method of claim 4, wherein the target brain region comprises a left brain region and a right brain region, wherein the generating a power frequency distribution map of power by color representation from the electroencephalogram signal of the target brain region with each frequency in the alpha frequency band as an abscissa and each acquisition point as an ordinate comprises:

and for each brain region, each frequency in the alpha frequency band is taken as an abscissa, each acquisition point is taken as an ordinate, and a power frequency distribution diagram representing power through colors is generated according to the brain electrical signals of the brain region.

6. The method of claim 1, wherein the identifying the cognitive state of the target brain region from the acquired respective power frequency distributions comprises:

detecting whether the power difference of the at least two acquisition points in the target frequency band is in a preset range or not according to the acquired power frequency distribution; the target frequency band is a target frequency + -Z, and the Z is smaller than a preset threshold value;

and if the detection result shows that the power difference is within the preset range, recognizing that the cognitive state of the target brain area is normal.

7. The method of claim 6, wherein the step of providing the first layer comprises,

and if the detection result is that the power difference is not in the preset range, identifying that the cognitive state disorder exists in the target brain region.

8. The method according to claim 6 or 7, characterized in that the method further comprises:

obtaining the age of the target patient;

and acquiring the target frequency according to the age.

9. A brain-aware state recognition device, characterized in that the device comprises a memory and a processor, wherein the memory has stored therein at least one program instruction, and the processor implements the method according to any one of claims 1 to 8 by loading and executing the at least one program instruction.

10. A computer storage medium having stored therein at least one program instruction that is loaded and executed by a processor to implement the method of any one of claims 1 to 8.

Images