CN117462148A

CN117462148A - Lead configuration device, method and storage medium for electroencephalogram detection equipment

Info

Publication number: CN117462148A
Application number: CN202311823848.XA
Authority: CN
Inventors: 郭根苗; 汪待发
Original assignee: Huichuang Keyi Beijing Technology Co ltd
Current assignee: Huichuang Keyi Beijing Technology Co ltd
Priority date: 2023-12-28
Filing date: 2023-12-28
Publication date: 2024-01-30
Anticipated expiration: 2043-12-28
Also published as: CN117462148B

Abstract

The application provides a lead configuration device, a lead configuration method and a storage medium for electroencephalogram detection equipment. The lead configuration device comprises a processor, wherein the processor is configured to present associated current brain region identifiers which are matched in advance for leads on each brain region configuration item, and the current brain region identifiers are different from each other; responding to the modification operation of the first current brain region identifier of the first brain region configuration item, switching the first current brain region identifier into a target brain region identifier, and automatically switching a second current brain region identifier which is matched before modification and is exactly a lead of the target brain region identifier into the first current brain region identifier; automatically matching the unmodified current brain region identifier to a target brain region identifier of a lead corresponding to the current brain region identifier; and generating a configuration lead group number in response to a confirmation operation of the matching relation of each lead and the target brain region identification matched after modification. Thus, lead configuration can be performed based on the brain region of interest, and the amount of computation for data analysis processing can be reduced.

Description

Lead configuration device, method and storage medium for electroencephalogram detection equipment

Technical Field

The application relates to the technical field of electroencephalogram detection, in particular to a lead configuration device, a lead configuration method and a storage medium for electroencephalogram detection equipment.

Background

Electroencephalogram (EEG) is a non-invasive method of electrophysiological monitoring of brain electrical activity by placing electrodes along the scalp and then recording the spontaneous electrical activity of the brain over a period of time by a plurality of electrodes placed on the scalp when performing an electroencephalographic test. The electroencephalogram detection device can be used for detecting and recording brain activities based on electroencephalogram signals detected by the leads, for different brain diseases, the interest degree of a user on different brain areas of a detected person is different, in the prior art, the positions of the detected brain areas corresponding to the leads in the electroencephalogram detection device are fixed, and in order to obtain the brain activities of the brain areas of interest, the user can only perform data processing by utilizing brain electrical data detected by all leads of the electroencephalogram detection device, so that relevant data of the brain areas of interest are obtained. The existing electroencephalogram detection equipment cannot directly acquire electroencephalogram data of a brain region of interest, judges brain function conditions, acquires electroencephalogram data of a brain region of no interest, increases the burden of data processing, and is relatively fixed in position of the brain region detected each time and inflexible in detection mode.

Disclosure of Invention

The present application is directed to the above-mentioned technical problems existing in the prior art. The application aims to provide a lead configuration device, a lead configuration method and a storage medium for an electroencephalogram detection device, which can flexibly configure the position of a brain region detected by a lead of the electroencephalogram detection device according to the region of interest of a user, so that the electroencephalogram detection device only collects electroencephalogram data of the region of interest, thereby reducing the complexity of data processing, improving the data processing efficiency and realizing targeted analysis on the brain function condition of the region of interest.

According to a first aspect of the present application, there is provided a lead configuration apparatus for an electroencephalogram detection device, the lead configuration apparatus comprising at least a processor configured to: before electroencephalogram detection is carried out by utilizing the electroencephalogram detection equipment, responding to a first operation for matching leads of the electroencephalogram detection equipment with brain areas, presenting a first interface, and enabling identification of each lead to be presented on the first interface and brain area configuration items to be presented in association with the identification of each lead; presenting associated current brain region identifications pre-matched for the leads on each brain region configuration item, wherein the current brain region identifications pre-matched for the leads are different from each other; responding to the modification operation of a first current brain region identifier of a first brain region configuration item, switching the first current brain region identifier into a target brain region identifier, and automatically switching a second current brain region identifier which is matched before modification and is just a lead of the target brain region identifier into the first current brain region identifier; automatically matching the unmodified current brain region identifier to a target brain region identifier of a lead corresponding to the current brain region identifier; and generating a configuration lead group in response to a confirmation operation of the matching relation between each lead and the target brain region identifier matched after modification, wherein the configuration lead group comprises the identifiers of the leads and the target brain region identifiers of the corresponding leads, and each lead detects brain electrical signals of brain regions defined by the corresponding confirmation matched target brain region identifiers.

According to a second aspect of the present application, there is provided a lead configuration method for an electroencephalogram detection apparatus, the lead configuration method including: before electroencephalogram detection is carried out by utilizing the electroencephalogram detection equipment, responding to a first operation for matching leads of the electroencephalogram detection equipment with brain areas, presenting a first interface, and enabling identification of each lead to be presented on the first interface and brain area configuration items to be presented in association with the identification of each lead; presenting associated current brain region identifications pre-matched for the leads on each brain region configuration item, wherein the current brain region identifications pre-matched for the leads are different from each other; responding to the modification operation of a first current brain region identifier of a first brain region configuration item, switching the first current brain region identifier into a target brain region identifier, and automatically switching a second current brain region identifier which is matched before modification and is just a lead of the target brain region identifier into the first current brain region identifier; automatically matching the unmodified current brain region identifier to a target brain region identifier of a lead corresponding to the current brain region identifier; and generating a configuration lead group in response to a confirmation operation of the matching relation between each lead and the target brain region identifier matched after modification, wherein the configuration lead group comprises the identifiers of the leads and the target brain region identifiers of the corresponding leads, and each lead detects brain electrical signals of brain regions defined by the corresponding confirmation matched target brain region identifiers.

According to a third aspect of the present application, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform a lead configuration method for an electroencephalogram detection apparatus as described in the respective embodiments of the present application.

Compared with the prior art, the beneficial effects of the embodiment of the application are that:

according to the lead configuration device provided by the embodiment of the application, the brain region positions detected by the leads of the electroencephalogram detection equipment can be configured in a personalized way, based on brain regions of interest of different testees, by modifying the current brain region identification matched with the leads in advance in the brain region configuration item, the matching relation between each lead and the target brain region identification matched after modification can be confirmed, so that a configured lead group can be generated, and each lead in the lead group is used for detecting brain electrical signals of brain regions defined by the corresponding target brain region identification confirmed and matched. The brain region defined by the target brain region identification matched by each lead in the lead group can be used for representing the brain region of interest of a user on the basis of the lead group, the brain electrical signals of the region of interest can be acquired and analyzed in a targeted manner, the brain electrical signals of the brain region which is not of interest are not required to be acquired, the complexity of data processing is greatly reduced, the efficiency of data processing is improved, and the brain electrical detection equipment is not required to be changed, so that the production cost is reduced.

In addition, the lead configuration device provided by the embodiment of the application can flexibly configure the brain region positions detected by each lead before each electroencephalogram detection according to the brain region of interest of the user to the subject, and each detected brain region position can be reset, so that the flexibility is high, and the manner of acquiring the electroencephalogram signals of the brain region of interest is more convenient and efficient.

The foregoing description is merely an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above description and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.

Drawings

In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. Like reference numerals with letter suffixes or different letter suffixes may represent different examples of similar components. The drawings illustrate generally, by way of example, and not by way of limitation, various embodiments, and together with the description and claims serve to explain the disclosed embodiments. Such embodiments are illustrative and exemplary, and are not intended to be exhaustive or exclusive embodiments of the present methods, systems, or non-transitory computer readable media having instructions for implementing the methods.

Fig. 1 (a) shows a schematic structural view of a lead configuration device according to an embodiment of the present application.

Fig. 1 (b) shows a schematic view of a first interface of a lead configuration device according to an embodiment of the present application.

Fig. 2 shows a schematic diagram of a second interface of a lead configuration apparatus according to an embodiment of the present application.

Fig. 3 shows a schematic view of a third interface of a lead configuration apparatus according to an embodiment of the present application.

Fig. 4 shows a flow chart of a lead configuration method according to an embodiment of the present application.

Detailed Description

In order to better understand the technical solutions of the present application, the following detailed description of the present application is provided with reference to the accompanying drawings and the specific embodiments. Embodiments of the present application will now be described in further detail with reference to the accompanying drawings and specific examples, but are not intended to be limiting of the present application.

The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. As used in this application, the word "comprising" or "comprises" and the like means that elements preceding the word encompass the elements recited after the word, and that no other elements are excluded from the possible coverage. In the present application, the arrows shown in the figures of the respective steps are merely examples of the execution sequence, and the technical solution of the present application is not limited to the execution sequence described in the embodiments, and the respective steps in the execution sequence may be performed in a combined manner, may be performed in a split manner, and may be exchanged in order as long as the logical relationship of the execution content is not affected.

All terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Techniques and equipment known to those of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate.

Fig. 1 (a) shows a schematic structural view of a lead configuration device according to an embodiment of the present application. Fig. 1 (b) shows a schematic view of the first interface 103 of the lead configuration apparatus 100. The lead configuration device 100 includes at least a processor 101 and a display 102. Wherein the display 102 includes, but is not limited to, a cathode ray tube display, a liquid crystal display, an LED display, a plasma display, etc., for presenting the first interface 103 of the lead configuration device 100.

The processor 101 is configured to: before electroencephalography is performed with the electroencephalography detection apparatus, in response to a first operation for matching leads 104 of an electroencephalography detection apparatus to brain regions, a first interface 103 is presented such that an identification of each lead 104 is presented on the first interface 103 and a brain region configuration item 105 is presented in association with the identification of each lead 104. Specifically, the configuration of the leads 104 provided by the lead configuration apparatus 100 in this embodiment may be performed before the electroencephalogram detection using the electroencephalogram detection device to perform the electroencephalogram detection according to the configuration of the leads 104 set up based on the lead configuration apparatus 100. Wherein the lead configuration device 100 may provide a lead configuration key to configure the lead 104, the user activates the lead configuration device 100 by clicking on the lead configuration key after entering the lead configuration device 100, and clicks on a lead matching brain region configuration key (e.g., the lead naming key shown in fig. 1 (b)) to enter the first interface 103 as shown in fig. 1 (b). By way of example only, and without limiting the first operation in detail, it is also possible, for example, to pop up, in the form of a dialog box, whether the leads 104 and the corresponding confirmation or negation keys, which the user has activated by clicking the confirmation key, match the brain region with the text prompt configuring the leads 104 after entering the lead configuring device 100, and enter the first interface 103.

The lead 104 refers to an acquisition channel for acquiring an electroencephalogram signal in the electroencephalogram detection apparatus. On the first interface 103 shown in fig. 1 (b), each of the leads 104 arranged in a certain order is displayed, and each of the leads 104 is marked with a corresponding identifier, such as 1, 2, and 3 … … (the ellipses represent the identifiers of the other arranged leads 104), so as to respectively represent different channels for acquiring the electroencephalogram signals. Preferably, the arrangement mode of the identifiers of the leads 104 presented on the first interface 103 is the same as the arrangement mode of the leads 104 on the electroencephalogram detection device, and the arrangement mode of the leads 104 may be the arrangement order of the leads 104, so that a user can quickly know the correspondence between the leads 104 presented on the first interface 103 and the leads 104 on the electroencephalogram detection device, and thus quickly and accurately change the brain area identifier matched with the leads 104. The arrangement and the respective leads 104 shown on the first interface 103 are merely one embodiment, and do not constitute a specific limitation on the arrangement of the respective leads 104 on the first interface 103, specifically, the arrangement of the respective leads 104 in the electroencephalogram detection apparatus.

Each lead 104 presented on the first interface 103 presents a brain region configuration item 105 in association. For example, the box in the right side of each lead 104 represented by each 1, 2, 3 … …, etc. identifier is the brain region configuration item 105. On each brain region configuration item 105, the associated current brain region identifications pre-matched for the leads 104 are presented, and the pre-matched current brain region identifications for each lead 104 are different from each other. Specifically, for example, the current brain region pre-matched by the lead 104 represented by the identifier 1 is identified as Fp1, the current brain region pre-matched by the lead 104 represented by the identifier 2 is identified as Fp2, the current brain region pre-matched by the lead 104 represented by the identifier 3 is identified as F3, and the remainder will not be described in detail, and the current brain region identifiers pre-matched for all the leads 104 are different.

The lead configuration device 100 provided in the embodiment of the present application may provide a default pre-matched current brain region identifier for each lead 104, and may also collect brain electrical signals based on a default matching relationship without modifying the default pre-matched current brain region identifier provided by each lead 104 by a user. In addition, the current brain region identifiers are different from each other to avoid that different leads 104 acquire brain electrical signals for the same brain region position of the subject.

In this embodiment, in response to a modification operation of a first current brain region identifier of a first brain region configuration item, the first current brain region identifier is switched to a target brain region identifier, and a second current brain region identifier of a lead 104, which is just the target brain region identifier and is matched before modification, is automatically switched to the first current brain region identifier, and an unmodified current brain region identifier is automatically matched to the target brain region identifier of the corresponding lead 104, so as to ensure that the target brain region identifiers matched by the final leads 104 are different from each other, thereby enabling different leads 104 to detect brain electrical signals of different brain region positions. Specifically, after switching the first current brain region identifier to the target brain region identifier, the processor 101 searches the lead 104, which is the target brain region identifier, of the second current brain region identifier matched in the modified lead 104, and automatically switches the second current brain region identifier corresponding to the searched lead 104 to the first current brain region identifier, and uses the first brain region identifier as the target brain region identifier of the searched lead 104. For example, on the first interface 103, the right side of the lead 104 represented by the identifier 1 presents the first current brain region identifier Fp1, and the target brain region identifier focused by the user can be selected by clicking on the drop-down box. For example, if the target brain region identifier is Fp2, the first current brain region identifier Fp1 presented in association with the right side of the lead 104 represented by the identifier 1 is switched to the target brain region identifier Fp2, and at this time, the second current brain region identifier matched by the lead 104 represented by the identifier 2 before modification is automatically switched to Fp1 by Fp 2. For another example, in the case where the first current brain region identification P3 of the lead 104 indicated by the identification 7 is switched to P7, that is, the target brain region identification is P7, at this time, the brain region identification corresponding to the lead 104 (identified as 15) whose second current brain region identification was P7, which was matched before modification, is automatically switched to P3. In this way, it can be ensured that the brain region identifications matched by the respective leads 104 are different from each other, and that the brain regions can be flexibly configured for the respective leads 104 for the region of interest of the user to the brain region of the subject. In addition, when the current brain region identifier pre-matched for the lead 104 is just the target brain region identifier, the current brain region identifier can be automatically matched as the target brain region identifier of the corresponding lead 104 without modifying the current brain region identifier. By way of example only, other leads 104 are configured in a similar manner to brain regions and are not described in detail.

In response to a confirmation operation of the matching relationship between each lead 104 and the target brain region identifier matched after modification, a configuration lead group is generated, wherein the configuration lead group comprises the identifiers of the leads 104 and the target brain region identifiers of the corresponding leads 104, and each lead 104 detects brain electrical signals of brain regions defined by the corresponding confirmed matched target brain region identifiers. Specifically, after determining a region of interest of a brain region of a subject, a user wishes to acquire brain electrical signals of the region of interest in a targeted manner. As shown in fig. 1 (b), based on the first interface 103, the user may modify the current brain region identifier that is pre-matched with each lead 104, and may directly use the current brain region identifier without modifying the current brain region identifier as the target brain region identifier of the corresponding lead 104, and after modifying and confirming, generate a configuration lead group that includes the identifier of the lead 104 and the target brain region identifier of the corresponding lead 104. In this way, the lead 104 of the electroencephalogram detection device can be matched with a target brain region, the configuration of the brain region detected by the lead 104 of the electroencephalogram detection device is completed, the electroencephalogram detection can be carried out according to the configuration of the configuration lead group, only the electroencephalogram data of the region of interest is collected, and only the electroencephalogram data of the region of interest is subjected to data processing, and the electroencephalogram data of the brain region which is not of interest is not required to be collected, so that the complexity of data processing is greatly reduced, the data processing efficiency is improved, the electroencephalogram detection device is not required to be changed, and the production cost is reduced; in addition, before each electroencephalogram detection, the brain region positions detected by the leads 104 can be flexibly configured, each detected brain region position can be reset, the flexibility is high, and the manner of acquiring the electroencephalogram signals of the brain region of interest is more convenient and efficient.

The brain region identifiers are used for representing positions of brain regions, each brain region identifier may be a well-known brain region identifier, for example, each brain region identifier may be set based on an electrode position in an international 10-20 system, the brain region identifier Fp1 represents a left frontal pole, the Fp2 represents a right frontal pole, the F3 represents a left frontal pole, and the rest is not described in detail. Of course, the brain region identifier may be another identifier that is set by the user, and this is not limited as long as it can be used to distinguish between different brain region positions.

In some embodiments of the present application, on the first interface 103, a positional relationship of the brain regions defined by the respective brain region identifiers in the brain image is provided, so that it is beneficial for a user to intuitively observe the positions of the brain regions defined by the respective brain region identifiers in the brain image, and efficiency of configuring the brain regions of the respective leads 104 is improved. The brain image may be provided on the right side or bottom of the array of leads 104 (not shown, by way of example only) to facilitate the user's quick identification of the brain region identification corresponding to the brain region of interest to the user.

In some embodiments of the present application, the processor 101 is further configured to present a second interface 106 in response to a second operation to set the configuration lead set, display a lead set name item in a first area on the second interface 106, and display the configuration lead set 107 in a second area; receiving a configuration of the lead group names based on the lead group name items to generate group names; based on the group name, in response to a confirmation operation of the attention lead selected in the configuration lead group 107, a correspondence relationship between the attention lead and the group name is established to generate a detection lead group. Specifically, the user selects each lead 104 in the configuration lead set 107 based on the lead 104 corresponding to the brain region of interest, wherein the selected lead of interest, i.e., the lead 104 corresponding to the brain region of interest of the user, is detected using the lead of interest of the detection lead set at the time of subsequent electroencephalogram detection. The configuration lead set 107 displayed in the second area may be identical to the configuration lead set 107 generated in response to the confirmation operation of the matching relationship between each lead 104 and the target brain region identifier matched after modification, or may be regenerated based on the matching relationship between each lead 104 and the target brain region identifier in the latter configuration lead set 107, but the matching relationship between each lead 104 and the target brain region identifier is identical, and the arrangement order of the leads 104 is identical. A grouping setting key or other channel for selecting each lead 104 in the configuration lead group 107 to implement grouping may be provided on the first interface 103, and the user may perform the second operation by clicking the lead selection key to enter the second interface 106 shown in fig. 2, or may perform the second operation by other means, which is not specifically limited herein.

A first area M on the second interface 106 displays a lead group name item 108, which lead group name item 108 may correspondingly provide an editable input box in which a user may input a lead group name, and the user may select a corresponding lead of interest for a different group name in the configuration lead group 107. For example, the user inputs the first group name 109 in the input box, and accordingly generates the first group name 109, and similarly, generates the second group name 110 and the third group name 111.

Further, a third area (not shown) on the second interface 106 provides a second edit box, a first new-add key, a first save key, and a first delete key configuring the lead group names, so that the user can input the group names in the second edit box by selecting the first new-add key. In response to an operation of selecting the first save key, the group name is associatively changed in the selected lead group name item 108 or newly increased in association in the lead group name item 108. Specifically, after the user clicks the first new key, the second edit box is in an editable state, and the user can input the group name to be configured in the second edit box, for example, the first group name 109. Then, after confirmation, the user clicks on the first save key, and accordingly, the first group name 109 is automatically generated in association with the lead group name item 108, thereby conveniently configuring the lead group name item 108. Or after the user selects one of the lead group names 108, for example, selects the second group name 110, the second group name 110 is automatically generated in the second edit box, the user modifies the second group name 110 in the second edit box, and after the user clicks the save key, the second group name 110 in the lead group name 108 is changed correspondingly.

Further, based on the group name selected in the lead group name item 108, and in response to an operation of selecting the first delete key, the selected group name is deleted in the lead group name item 108. For example, the user finds that the configured first group name 109 is wrong, at this time, the first group name 109 may be selected, and then the first delete key is clicked, and the first group name 109 in the lead group name item 108 is automatically deleted.

The user may set the group name by himself, and the setting manner and content of the group name are not particularly limited, and the above-described configuration manner is merely one embodiment.

The number of groups of the individual leads 104 in the configuration lead group 107 is also not limited, and may be specifically determined according to the number of regions of interest of the user to the brain region of the subject. For example, the user needs to analyze the electroencephalogram signals of one region of interest of the occipital lobe and one region of interest of the parietal lobe of the subject with emphasis, and therefore, two sets of lead set names may be configured at the lead set name item 108, and two set names may be generated to distinguish, and the lead 104 for detecting the occipital lobe and the lead 104 for detecting the parietal lobe may be selected for the two sets of lead set names, respectively.

In fig. 2, the first area M shows a first group name 109, a second group name 110 and a third group name 111, wherein the respective group names may be arranged to be displayed in a more pronounced manner in response to a selection by the user. For example, in the case where the user selects the first group name 109, the first group name 109 is displayed in a highlighted form so that the user can intuitively see that the first group name 109 is currently being configured.

Specifically, for example, in the case where the user configures the first group name 109, after the user selects the first group name 109, the attention lead is selected in the configuration lead group 107. The selection of the attention lead may be based on the region of interest of the user in the brain region of the subject, for example, the attention leads are the leads 104 represented by the identifications 6, 7, 10, 11, respectively, and at this time, the user continues to select the leads 104 represented by the identifications 6, 7, 10, 11, respectively, and confirms after selecting the first group name 109. After the confirmation operation is performed, the correspondence between each selected attention lead and the first group name 109 is established, and the detection lead group 112 is generated. In the process of acquiring the brain electrical signals based on the brain electrical detection equipment provided with the detection lead group 112, the brain electrical signals of brain regions with the brain region marks defined by C4, P3, O2 and F7 can be acquired by selecting the detection lead group 112 in the brain electrical detection equipment and starting detection.

In some embodiments of the present application, as shown in fig. 2, the arrangement order of the individual leads 104 in the configuration lead group 107 displayed on the second area N is the same as the arrangement order of the leads 104 on the first interface 103, and on the second area N, the identification of the lead 104 and the presentation associated with the target brain region identification of the corresponding lead 104, for example, the identification 1 and the target brain region identification Fp1 are displayed simultaneously on the lead 104 represented by the identification 1, the identification 5 and the target brain region identification C3 are displayed simultaneously on the lead 104 represented by the identification 5, and other examples are not given. The user can quickly and accurately select the concerned lead 104 corresponding to the selected group name based on the identification of the lead 104 displayed in the second area N and the target brain area identification of the corresponding lead 104, and in addition, since the target brain area identification modified by the user is often the brain area of interest during electroencephalogram detection in the matching stage of the lead 104 and the target brain area identification, if the arrangement order of the leads 104 displayed in the second area N is the same as the arrangement order of the leads 104 on the first interface 103, the user can more easily know which lead 104 on the second area N is the concerned lead, so that the concerned lead can be screened out more quickly and accurately. Wherein the target brain region identification that matches each lead 104 is not modifiable and is displayed in a more prominent manner relative to the identification of the lead 104. Wherein the target brain region identification may be displayed in a larger font than the identification of lead 104. Alternatively, the target brain region identifier is highlighted or colored and the identifier of the lead 104 is not colored, so as to improve the significance of the target brain region identifier, and enable the user to quickly and accurately select the target brain region according to the brain region of interest. This is merely taken as an example and does not limit the specific embodiments.

In some embodiments of the present application, the processor 101 is further configured to: in response to a third operation of setting the reference of each of the attention leads in the detection lead group, presenting a third interface, and providing a display area for displaying group names of all detection lead groups in a first area on the third interface; based on the operation of selecting the target group name in the display area, an acquisition configuration item related to the target group name is provided, so that a user can configure the reference position of each attention lead in the target group based on the acquisition configuration item, and the electroencephalogram signals detected by the attention leads are processed and displayed based on the configured reference position. Specifically, a key or other channel of reference settings may be provided on the second interface 106 shown in fig. 2, and after the user establishes and completes the configuration of the detection lead set 112, a third operation may be performed by clicking the key of reference settings, and then entering into the third interface 113. This is merely taken as an exemplary illustration, and is not enough to be a specific limitation on the execution of the third operation.

As shown in fig. 3, a display area of group names of all detection lead groups is displayed in the first area O on the third interface 113, for example, the display area may be a second drop-down box 121, and all detection lead groups configured by the user may be displayed in the second drop-down box 121, for example, three detection lead groups represented by the first group name 109, the second group name 110, and the third group name 111 shown in fig. 2 may be included. Illustratively, the detection lead set represented by the first set name 109 is taken as a target set, after the user selects the first set name 109 in the second drop-down box 121, an acquisition configuration item 120 associated with the target set name is provided accordingly, in which acquisition configuration item 120 different lead reference sets, such as the first lead reference set 114, the second lead reference set 115, and the third lead reference set 116, may be provided that configure different reference positions for respective leads of interest in the target set, just as an example of a possibility. Wherein the user may add, delete or change names to the set of lead references.

In the process of configuring the reference positions of the respective attention leads, the reference positions of the respective attention leads may be the same or different, and this is not limited. For example, after the user selects the first lead reference group 114, all of the attention leads included in the detected lead group for the first group name 109 are presented in the reference configuration item 117. The reference position configured for the current attention lead may be any other attention lead of the detection lead set, for example, the reference position configured for the attention lead identified as C4 for the brain region is P3, the reference position configured for the attention lead identified as P3 for the brain region is O2, the reference position configured for the attention lead identified as O2 for the brain region is F7, and the reference position configured for the attention lead identified as F7 for the brain region is C4. Taking the reference position of the attention lead configuration with the brain region marked as C4 as an example, taking the related data of the brain electrical signal of the brain region marked as P3 as a reference, and then processing the data of the brain electrical signal of the brain region marked as C4 to obtain a difference value for subsequent analysis. The reference position is also defined by a brain region identifier that defines a brain region, for example, when the reference position is P3, the reference position refers to the position of the brain region defined by the brain region identifier P3 on the brain map 118.

After the reference positions are configured for all the attention leads, in the process of acquiring the electroencephalogram signals by utilizing the electroencephalogram detection equipment, a user can process and display the acquired electroencephalogram signals of the attention leads based on the reference positions configured for all the attention leads in the lead reference group after selecting the lead reference group. Thus, the accuracy of the data processing result of the electroencephalogram signal of the attention lead detection is improved.

Furthermore, different reference positions or the same reference position can be set for different attention leads based on the embodiments of the present application, but only the same reference value can be introduced if the reference value is introduced only during the data processing. Therefore, the configuration of the reference position of each attention lead is realized based on the acquisition configuration item 120, so that the method has higher flexibility and higher accuracy on the result of data processing compared with the mode of setting the reference value in the process of data processing on the electroencephalogram signals acquired by the attention leads.

In some embodiments of the present application, the processor 101 is further configured such that the acquisition configuration item 120 includes a reference set of leads having different references, such as the first reference set of leads 114, the second reference set of leads 115, and the third reference set of leads 116 shown in fig. 3, where the reference locations of the individual leads of interest in the several reference sets of leads may be different. The user can configure different reference positions for the same concerned lead among different lead reference groups, when the electroencephalogram detection is carried out by the lead configuration associated with the name of the target group, the user can select the lead reference group based on the name of the lead reference group under the name of the target group, and carries out electroencephalogram signal output by the lead reference positions configured in the selected lead reference group, personalized setting is realized by configuring the lead reference groups with different references, and meanwhile, the accuracy of analyzing the brain functional condition can be further improved by comparing the results of data processing based on the different reference positions. For example, in performing electroencephalogram detection, the user may select any one of the first, second, and third lead reference groups 114, 115, and 116, and output the lead reference position configured in that lead reference group as the electroencephalogram.

In response to the operation of selecting the lead reference group, a reference configuration item 117 displayed corresponding to the lead reference group and a brain map 118 displayed in the second region P on the third interface 113 are provided, wherein the reference configuration item 117 at least comprises an identification of a lead of interest and/or a target brain region identification corresponding to the lead of interest and an associated reference position item. Specifically, as shown in fig. 3, after the user selects the first lead reference group 114, a reference configuration item 117 displayed corresponding to the first lead reference group 114 and a brain map 118 displayed in the second region P are provided. At least the identification of the lead of interest and/or the target brain region identification corresponding to the lead of interest is displayed in the reference configuration item 117, so that the user can distinguish which lead of interest the currently set reference position is specific to. For example, the identification of the attention lead represented by the identification 6, the identification 7, the identification 10 and the identification 11, and the brain region identifications C4, P3, O2 and F7 are the target brain region identifications corresponding to the attention leads respectively.

A tile of all the leads of interest currently contained by the set of detection leads is presented at a corresponding location in the brain map 118, and each of the tiles is displayed with at least a corresponding target brain region identification. That is, the corresponding positions in the brain of the tiles of all the leads of interest in the detection lead set represented by the first set of names 109 are displayed in the brain map 118, and at least the corresponding target brain region identification is displayed in each tile in the brain map 118, without displaying the tiles of the unselected leads of no interest, so that the user intuitively determines the positions in the brain of the brain region represented by each lead of interest. The corresponding positions of the image blocks of the attention lead in the brain can be determined according to the positions of the electrodes in the international electroencephalogram electrode system or the custom electroencephalogram electrode system in the brain map 118, wherein the international electroencephalogram electrode system can be an international 10-20 system or an international 10-10 system, and the method is not particularly limited herein.

The reference location of the brain region location corresponding to each brain region identification is configured in the reference location item or the brain map 118 based on the identification of the lead of interest and/or the target brain region identification corresponding to the lead of interest. The reference position item is used for displaying brain region identifiers of brain regions corresponding to reference positions of the attention lead configurations of the user, for example, brain region positions defined by brain region identifiers of P3, O2, F7 and C4 respectively for reference positions of attention lead configurations represented by the identifiers 6, 7, 10 and 11. Taking this as an example only, the configuration of the reference position is not limited, and may be configured by the user himself.

In some embodiments of the present application, the processor 101 is further configured to: the configuring of the reference location of the brain region location corresponding to each target brain region identification in the reference location item or the brain map further comprises: responding to the operation of inputting the target reference brain region identification in the reference position item, and taking the brain region position corresponding to the target reference brain region identification as the reference position of the brain region position corresponding to the target brain region identification associated with the reference position item; alternatively, in response to dragging the lead patch of interest at the first location to the lead patch of interest at the second location in the brain map of the second region, in the reference configuration item, the reference location in the reference location item associated with the identity of the lead of interest corresponding to the first location and/or the target brain region identity corresponding to the lead of interest is modified to the target brain region identity corresponding to the second location.

For example, when configuring the reference position of the brain region position corresponding to each target brain region identifier in the reference position item, the user may directly input the target reference brain region identifier in the current reference position item, so that the brain region position corresponding to the target reference brain region identifier is used as the reference position of the brain region position corresponding to the target brain region identifier associated with the reference position item. For another example, when configuring the reference position of the brain region position corresponding to each target brain region identifier in the brain map 118, the first position is the brain region position defined by the brain region identifier C4, the second position is the brain region position defined by the brain region identifier P3, the user first selects the tile of the brain region identifier C4, then presses the left or right mouse button, drags the tile of the brain region identifier C4 to the tile position of the brain region identifier P3, and at this time, the reference position of the brain region position defined by the brain region identifier C4 in the reference configuration item 117 is modified to P3. Thus, the efficiency of configuring the reference positions for each attention lead is improved, and compared with the mode of inputting the reference positions, the accuracy of configuring the reference positions is improved.

Further, as shown in fig. 3, the lead reference sets provided in the acquisition configuration item 120 include at least a first lead reference set 114 without reference, a second lead reference set 115 with average reference as a reference, and a third lead reference set 116 with custom settings for the references. That is, a default lead reference group and a lead reference group which can customize the configuration reference position can be provided for the user, thereby improving the flexibility and efficiency of configuring the reference position for the user. The first, second and third lead reference sets 114, 115, 116 are provided to the user prior to acquisition based on the electroencephalographic detection apparatus. The system is provided with a first lead reference group 114 without reference and a second lead reference group 115 taking average reference as reference, and the conventional reference positions are automatically set as selectable reference positions of the concerned leads, so that users are not required to confirm the conventional reference positions of the concerned leads one by one, and convenience and high efficiency are realized.

In some embodiments of the present application, the processor 101 is further configured to: and displaying an average reference identification block at a preset position outside the brain map, and in response to dragging the attention lead block at the first position to the average reference identification block, modifying the reference position in the reference position item, which is associated with the identification of the attention lead corresponding to the first position and/or the target brain region identification corresponding to the attention lead, in the reference configuration item to be an average reference. As shown in fig. 3, an average reference mark block 119 is displayed in the lower right corner outside the brain map 118, and of course, the position of the average reference mark block 119 is not limited. The method for configuring the reference position of the attention lead as the average reference position is as above, and is not described herein.

In some embodiments of the present application, a color item of a display configuration color of the electroencephalogram signals detected for the respective attention leads is provided in the reference configuration item. As in fig. 3, a color item is provided in the reference configuration item 117, based on which the user can configure the color displayed for each of the leads of interest. For example, the color displayed for the attention lead configuration of the brain region identification C4 is red, and the color displayed for the attention lead configuration of the brain region identification P3 is green, so that during the electroencephalogram signal acquisition based on the electroencephalogram detection device, the electroencephalogram signal acquired by the attention lead of the brain region identification C4 appears red, and the electroencephalogram signal acquired by the attention lead of the brain region identification P3 appears green. Thus, the identification degree of the electroencephalogram signals acquired by different attention leads is improved.

Further, the first area O on the third interface 113 also provides a second new key, a second delete key, and a second save key to newly add, delete, or save the identity of the lead of interest, the target brain region identity, the reference location item, and the color item in the selected reference configuration item 117 in response to activating the second new key, the second delete key, or the second save key. In some embodiments of the present application, the processor 101 is further configured to: and responding to the modification operation of the first current brain region identification of the first brain region configuration item, and providing a first drop-down frame for displaying the brain region identifications corresponding to all brain region positions at the first brain region configuration item. Specifically, returning to FIG. 1, a modification of the first current brain region identification Fp1 of the first brain region configuration item corresponding to the lead 104 identified as 1 is taken as an exemplary illustration. Keys are provided in each brain region configuration item 105, and the user automatically provides a first drop-down frame by clicking on a key in the first current brain region identifier Fp1, in which all brain region identifiers corresponding to the brain region positions including Fp1, fp2, F3, F4, C3, C4 … … are displayed (ellipses represent the remaining brain region identifiers, and are not exemplified).

Based on the operation of selecting a target brain region identifier in the first drop-down frame, a first current brain region identifier is switched to a target brain region identifier, and a second current brain region identifier of a lead 104, which is just the target brain region identifier, of a second current brain region identifier matched before modification is automatically switched to the first current brain region identifier. For example, if the target brain region identifier is Fp2, the user may select the target brain region identifier Fp2 in the first drop-down frame, at this time, the first current brain region identifier Fp1 displayed by the lead 104 represented by the identifier 1 is automatically switched to the target brain region identifier Fp2, and the second current brain region identifier matched before modification is just the second current brain region identifier of the target brain region identifier Fp2 and is automatically switched to the first current brain region identifier Fp1.

Or, in response to a modification operation of the first current brain region identification Fp1 of the first brain region configuration item, providing a first edit box (not shown) capable of inputting brain region identification, receiving a target brain region identification Fp2 input in the first edit box, switching the first current brain region identification Fp1 to the target brain region identification Fp2, and automatically switching a second current brain region identification of the lead 104, which is just the target brain region identification Fp2, of the second current brain region identification matched before modification to the first current brain region identification Fp1.

Fig. 4 shows a lead configuration method for an electroencephalogram detection apparatus according to an embodiment of the present application, as in step S401 to step S404. In step S401, before performing electroencephalogram detection by using the electroencephalogram detection apparatus, in response to a first operation for matching brain regions for leads of the electroencephalogram detection apparatus, a first interface is presented such that identifications of respective leads are presented on the first interface and brain region configuration items are presented in association with the identifications of the respective leads. At step S402, on each brain region configuration item, the associated current brain region identifications pre-matched for the leads are presented, wherein the current brain region identifications pre-matched for the leads are different from each other. In step S403, in response to a modification operation of the first current brain region identifier of the first brain region configuration item, switching the first current brain region identifier to a target brain region identifier, and automatically switching a second current brain region identifier, which is just a lead of the target brain region identifier, of a second current brain region identifier matched before modification to the first current brain region identifier; the unmodified current brain region identification is automatically matched with the target brain region identification of the corresponding lead. In step S404, in response to a confirmation operation of the matching relationship between each lead and the target brain region identifier matched after modification, a configuration lead set is generated, where the configuration lead set includes the identifier of the lead and the target brain region identifier of the corresponding lead, and each lead detects an electroencephalogram signal of the brain region defined by the target brain region identifier corresponding to confirmation matching. Therefore, the leads of the electroencephalogram detection equipment can be flexibly configured according to the region of interest of the user, so that the electroencephalogram detection equipment only collects electroencephalogram data of the region of interest, the complexity of data processing is reduced, the data processing efficiency is improved, the brain function condition of the region of interest is pertinently analyzed, the brain region positions detected by the leads can be flexibly configured before electroencephalogram detection is carried out each time, the brain region positions detected each time can be reset, the flexibility is high, and the method for acquiring the electroencephalogram signals of the brain region of interest is more convenient.

In the present application, the arrows shown in the figures of the respective steps are merely examples of the execution sequence, and the technical solution of the present application is not limited to the execution sequence described in the embodiments, and the respective steps in the execution sequence may be performed in a combined manner, may be performed in a split manner, and may be exchanged in order as long as the logical relationship of the execution content is not affected.

The steps executed by each processor 101 in the lead configuration apparatus 100 according to each embodiment of the present application may be incorporated herein, and are not described herein.

The processor 101 may be a processing device including one or more general-purpose processing devices, such as a microprocessor, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and the like. More specifically, the processor 101 may be a Complex Instruction Set Computing (CISC) microprocessor, a Reduced Instruction Set Computing (RISC) microprocessor, a Very Long Instruction Word (VLIW) microprocessor, a processor running other instruction sets, or a processor running a combination of instruction sets. The processor 101 may also be one or more special purpose processing devices such as an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), a system on a chip (SoC), or the like.

The present application describes various operations or functions that may be implemented or defined as software code or instructions. Such content may be source code or differential code ("delta" or "patch" code) ("object" or "executable" form) that may be executed directly. The software code or instructions may be stored in a computer readable storage medium and, when executed, may cause a machine to perform the functions or operations described and include any mechanism that stores information in a form accessible by a machine (e.g., computing device, electronic system, etc.), such as recordable or non-recordable media (e.g., read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media, optical storage media, flash memory devices, etc.).

The exemplary methods described herein may be implemented at least in part by a machine or computer. In some embodiments, a computer readable storage medium has stored thereon computer program instructions that, when executed by a processor, cause the processor to perform a lead configuration method for an electroencephalogram detection apparatus as described in various embodiments of the present application.

Implementations of such methods may include software code, such as microcode, assembly language code, higher-level language code, or the like. Various software programming techniques may be used to create various programs or program modules. For example, program portions or program modules may be designed in or with the aid of Java, python, C, C ++, assembly language, or any known programming language. One or more of such software portions or modules may be integrated into a computer system and/or computer readable medium. Such software code may include computer readable instructions for performing various methods. The software code may form part of a computer program product or a computer program module. Furthermore, in examples, the software code may be tangibly stored on one or more volatile, non-transitory, or non-volatile tangible computer-readable media, such as during execution or at other times. Examples of such tangible computer-readable media may include, but are not limited to, hard disks, removable magnetic disks, removable optical disks (e.g., optical disks and digital video disks), magnetic cassettes, memory cards or sticks, random Access Memories (RAMs), read Only Memories (ROMs), and the like.

Furthermore, although exemplary embodiments have been described herein, the scope thereof includes any and all embodiments having equivalent elements, modifications, omissions, combinations (e.g., of the various embodiments across), adaptations or alterations as pertains to the present application. Elements in the claims are to be construed broadly based on the language employed in the claims and are not limited to examples described in the present specification or during the practice of the present application, which examples are to be construed as non-exclusive. It is intended, therefore, that the specification and examples be considered as exemplary only, with a true scope and spirit being indicated by the following claims and their full scope of equivalents.

The above description is intended to be illustrative and not restrictive. For example, the above-described examples (or one or more aspects thereof) may be used in combination with each other. For example, other embodiments may be used by those of ordinary skill in the art upon reading the above description. In addition, in the above detailed description, various features may be grouped together to streamline the application. This is not to be interpreted as an intention that the disclosed features not being claimed are essential to any claim. Rather, the subject matter of the present application is capable of less than all of the features of a particular disclosed embodiment. Thus, the claims are hereby incorporated into the detailed description as examples or embodiments, with each claim standing on its own as a separate embodiment, and it is contemplated that these embodiments may be combined with one another in various combinations or permutations. The scope of the application should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements may be made to the present application by those skilled in the art, which modifications and equivalents are also considered to be within the scope of the present application.

Claims

1. A lead configuration apparatus for an electroencephalogram detection device, the lead configuration apparatus comprising at least a processor configured to:

before electroencephalogram detection is carried out by utilizing the electroencephalogram detection equipment, responding to a first operation for matching leads of the electroencephalogram detection equipment with brain areas, presenting a first interface, and enabling identification of each lead to be presented on the first interface and brain area configuration items to be presented in association with the identification of each lead;

presenting associated current brain region identifications pre-matched for the leads on each brain region configuration item, wherein the current brain region identifications pre-matched for the leads are different from each other;

responding to the modification operation of a first current brain region identifier of a first brain region configuration item, switching the first current brain region identifier into a target brain region identifier, and automatically switching a second current brain region identifier which is matched before modification and is just a lead of the target brain region identifier into the first current brain region identifier; automatically matching the unmodified current brain region identifier to a target brain region identifier of a lead corresponding to the current brain region identifier;

And generating a configuration lead group in response to a confirmation operation of the matching relation between each lead and the target brain region identifier matched after modification, wherein the configuration lead group comprises the identifiers of the leads and the target brain region identifiers of the corresponding leads, and each lead detects brain electrical signals of brain regions defined by the corresponding confirmation matched target brain region identifiers.

2. The lead configuration apparatus of claim 1, wherein the processor is further configured to:

in response to a second operation of setting the configuration lead group, presenting a second interface, displaying a lead group name item in a first area on the second interface, and displaying the configuration lead group in a second area;

receiving a configuration of the lead group names based on the lead group name items to generate group names;

based on the group name, in response to a confirmation operation of a focused lead selected in the configuration lead group, a corresponding relationship between the focused lead and the group name is established to generate a detection lead group.

3. The lead configuration apparatus of claim 2, wherein the processor is further configured to:

the arrangement order of the leads in the configuration lead group displayed on the second area is the same as the arrangement order of the leads on the first interface;

On the second region, the identifications of the leads and the representations associated with the target brain region identifications of the corresponding leads, the target brain region identifications that match the respective leads being non-modifiable and the target brain region identifications being displayed in a more pronounced manner relative to the identifications of the leads.

4. A lead configuration apparatus according to claim 2 or 3, wherein the processor is further configured to:

in response to a third operation of setting the reference of each of the attention leads in the detection lead group, presenting a third interface, and providing a display area for displaying the group names of all detection lead groups in a first area on the third interface;

based on the operation of selecting the target group name in the display area, an acquisition configuration item related to the target group name is provided, so that a user can configure the reference position of each attention lead in the target group based on the acquisition configuration item, and the electroencephalogram signals detected by the attention leads are processed and displayed based on the configured reference position.

5. The lead configuration apparatus of claim 4, wherein the processor is further configured to:

the acquisition configuration item includes a set of lead references having different references;

Providing a reference configuration item displayed corresponding to the lead reference group and a brain map displayed in a second area on a third interface in response to the operation of selecting the lead reference group, wherein the reference configuration item at least comprises an identifier of a lead concerned and/or a target brain region identifier corresponding to the lead concerned and an associated reference position item, the corresponding position in the brain map presents all the image blocks of the lead concerned contained in the current detection lead group, and each image block at least displays the corresponding target brain region identifier;

and configuring the reference position of the brain region position corresponding to each target brain region identifier in the reference position item or the brain map based on the identifier of the attention lead and/or the target brain region identifier corresponding to the attention lead.

6. The lead configuration apparatus of claim 5, wherein the processor is further configured to: the configuring of the reference location of the brain region location corresponding to each target brain region identification in the reference location item or the brain map further comprises:

responding to the operation of inputting the target reference brain region identification in the reference position item, and taking the brain region position corresponding to the target reference brain region identification as the reference position of the brain region position corresponding to the target brain region identification associated with the reference position item;

Alternatively, in response to dragging the lead patch of interest at the first location to the lead patch of interest at the second location in the brain map of the second region, in the reference configuration item, the reference location in the reference location item associated with the identity of the lead of interest corresponding to the first location and/or the target brain region identity corresponding to the lead of interest is modified to the target brain region identity corresponding to the second location.

7. The lead configuration apparatus of claim 5 or 6, wherein the processor is further configured to: and displaying an average reference identification block at a preset position outside the brain map, and in response to dragging the attention lead block at the first position to the average reference identification block, modifying the reference position in the reference position item, which is associated with the identification of the attention lead corresponding to the first position and/or the target brain region identification corresponding to the attention lead, in the reference configuration item to be an average reference.

8. The lead configuration apparatus of claim 7, wherein the processor is further configured to: color items of display configuration colors of the brain electrical signals detected for the respective attention leads are provided in the reference configuration items.

9. The lead configuration apparatus of claim 1, wherein the processor is further configured to:

In response to a modification operation to the first current brain region identification of the first brain region configuration item,

providing a first drop-down frame for displaying brain area identifiers corresponding to all brain area positions at the first brain area configuration item;

based on the operation of selecting a target brain region identifier in the first drop-down frame, switching a first current brain region identifier to a target brain region identifier, and automatically switching a second current brain region identifier, which is matched before modification and is just a lead of the target brain region identifier, to the first current brain region identifier;

or, in response to a modification operation of the first current brain region identifier of the first brain region configuration item, providing a first edit box capable of inputting the brain region identifier;

and receiving a target brain region identifier input in the first editing box, switching a first current brain region identifier into the target brain region identifier, and automatically switching a second current brain region identifier which is matched before modification and is just a lead of the target brain region identifier into the first brain region identifier.

10. A lead configuration method for an electroencephalogram detection apparatus, characterized by comprising:

11. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the lead configuration method for an electroencephalogram detection apparatus according to claim 10.