WO2024113234A1

WO2024113234A1 - Electroencephalogram display method and apparatus, and storage medium

Info

Publication number: WO2024113234A1
Application number: PCT/CN2022/135474
Authority: WO
Inventors: 王星
Original assignee: 北京太阳电子科技有限公司
Priority date: 2022-11-30
Filing date: 2022-11-30
Publication date: 2024-06-06
Also published as: CN119183362A

Abstract

The present disclosure relates to an electroencephalogram display method and apparatus, and a storage medium. The electroencephalogram display method comprises: receiving an acquisition request for electroencephalogram information in an electroencephalogram, wherein the acquisition request comprises a request time period for the electroencephalogram information, and the electroencephalogram is a spectrogram of electroencephalogram signals; and acquiring, on the basis of the acquisition request, electroencephalogram data and an electroencephalogram waveform corresponding to the request time period, wherein the electroencephalogram data is displayed in the form of a planar brain topographic map, and the electroencephalogram waveform is displayed in the form of a waveform graph.

Description

Electroencephalogram display method, device and storage medium

Technical Field

The present disclosure relates to, but is not limited to, a method, device and storage medium for displaying an electroencephalogram.

Background technique

Electroencephalogram (EEG) is an electrophysiological monitoring method that records brain waves. It is mainly used to assist in the diagnosis of brain-related diseases. EEG is most commonly used to diagnose epilepsy and is one of the gold standards for epilepsy diagnosis. It can also be used to diagnose sleep disorders, determine the depth of anesthesia, determine the degree of coma, evaluate cerebrovascular diseases, and assess brain death. In addition, EEG was once the first-line method for diagnosing tumors, strokes, and other focal brain diseases. Therefore, EEG is a valuable tool for clinical diagnosis and research. However, due to the large workload of continuous EEG signal monitoring and analysis, it is difficult to carry out extensively at the bedside. Therefore, the use of computers to quantify and compress EEG signals to form simple and intuitive maps has emerged. It is called quantitative EEG (qEEG). qEEG can simplify the EEG image judgment process. However, the quantitative EEG in related technologies can usually only reflect one aspect of EEG information and cannot provide multiple aspects of information in the same plane.

Summary of the invention

In order to overcome the problems existing in the related art, the present disclosure provides a method, device and storage medium for displaying an electroencephalogram.

According to a first aspect of the present disclosure, a method for displaying an electroencephalogram is provided, the method comprising:

receiving a request for obtaining electroencephalogram information in the electroencephalogram, wherein the request includes a request period for the electroencephalogram information, and the electroencephalogram is a spectrum diagram of an electroencephalogram signal;

Based on the acquisition request, acquiring the electroencephalogram data and electroencephalogram waveform corresponding to the requested time period;

The EEG data is displayed in the form of a planar brain topography map, and the EEG waveform is displayed in the form of a waveform graph.

In an exemplary embodiment, the display method further includes:

Acquire electroencephalogram data corresponding to a first preset time length before the requested time period and electroencephalogram data corresponding to a second preset time length after the requested time period;

The electroencephalogram data corresponding to the requested time period, the electroencephalogram data corresponding to a first preset time length before the requested time period, and the electroencephalogram data corresponding to a second preset time length after the requested time period are simultaneously displayed in a three-dimensional display manner.

In an exemplary embodiment, the display method further includes:

Based on a preset sampling duration, obtaining a time domain representation of the electroencephalogram signal;

Determining a power spectral density of the electroencephalogram signal based on a time domain representation of the electroencephalogram signal;

The electroencephalogram is determined according to the power spectral density.

In an exemplary embodiment, the display method further includes:

The electroencephalogram is rendered, and colors are used to distinguish energy distribution of the electroencephalogram signal in the electroencephalogram.

According to a second aspect of the present disclosure, there is provided an electroencephalogram display device, the display device comprising:

A receiving module is configured to receive a request for obtaining electroencephalogram information in the electroencephalogram, wherein the request includes a request period for the electroencephalogram information, and the electroencephalogram is a spectrum diagram of the electroencephalogram signal;

an acquisition module, configured to acquire the electroencephalogram data and electroencephalogram waveform corresponding to the requested time period based on the acquisition request;

In an exemplary embodiment, the acquisition module is further configured to:

In an exemplary embodiment, the display device further includes a determination module configured to:

The electroencephalogram is determined according to the power spectral density.

In an exemplary embodiment, the display device further includes:

The rendering module is configured to render the electroencephalogram and use colors to distinguish the energy distribution of the electroencephalogram signal in the electroencephalogram.

According to a third aspect of the present disclosure, there is provided an electroencephalogram display device, comprising:

processor;

a memory for storing processor-executable instructions;

The processor is configured to execute the method as described in the first aspect of the embodiment of the present disclosure.

According to a fourth aspect of the present disclosure, a non-temporary computer-readable storage medium is provided. When instructions in the storage medium are executed by a processor of a device, the device is enabled to execute the method as described in the first aspect of the embodiment of the present disclosure.

The above method disclosed in the present invention has the following beneficial effects: the EEG display method disclosed in the present invention can display the brain topography map and waveform map in real time while displaying the EEG signal spectrum map, which can provide more and more comprehensive information when reading the map, thereby improving the efficiency of image judgment and improving the quality of image judgment.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings constituting a part of the present disclosure are used to provide a further understanding of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure. In the drawings:

Fig. 1 is a schematic diagram showing a quantized electroencephalogram according to an exemplary embodiment.

Fig. 2 is a schematic diagram showing a quantized electroencephalogram according to an exemplary embodiment.

Fig. 3 is a flow chart of a method for displaying an electroencephalogram according to an exemplary embodiment.

Fig. 4 is a schematic diagram showing an electroencephalogram display according to an exemplary embodiment.

Fig. 5 is a flow chart of a method for displaying electroencephalogram data according to an exemplary embodiment.

Fig. 6 is a schematic diagram showing an electroencephalogram display according to an exemplary embodiment.

Fig. 7 is a flow chart of a method for determining an electroencephalogram according to an exemplary embodiment.

FIG. 8 is a block diagram of a device for displaying an electroencephalogram according to an exemplary embodiment.

FIG9 is a block diagram showing an apparatus for executing a method for displaying an electroencephalogram according to an exemplary embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present disclosure. It should be noted that the embodiments in the present disclosure and the features in the embodiments can be arbitrarily combined with each other without conflict.

In the related art, qEEG usually includes the following two forms: the first one is the quantitative EEG as shown in FIG1 , which cannot provide spatially related information in the same plane due to the large number of leads and quantification types; the second one is the quantitative EEG as shown in FIG2 , which presents quantitative information in the form of a tiled brain topography map. Although it can provide spatially related information, it will lose relevant trend information.

In an exemplary embodiment of the present disclosure, in order to overcome the problems in the related art, a method for displaying an electroencephalogram is provided. A request for obtaining electroencephalogram information in an electroencephalogram is received, the request for obtaining the electroencephalogram information includes a request period for the electroencephalogram information, the electroencephalogram is a spectrum diagram of the electroencephalogram signal, and based on the acquisition request, the electroencephalogram data and electroencephalogram waveform corresponding to the request period are obtained, wherein the electroencephalogram data is displayed in the form of a planar brain topography map, and the electroencephalogram waveform is displayed in the form of a waveform diagram. The electroencephalogram display method in the present disclosure, while displaying the spectrum diagram of the electroencephalogram signal, displays the brain topography map and the waveform diagram in real time, which can provide more and more comprehensive information when reading the image, thereby improving the efficiency of image judgment and improving the quality of image judgment.

In an exemplary embodiment of the present disclosure, a method for displaying an electroencephalogram is provided. FIG. 3 is a flow chart of a method for displaying an electroencephalogram according to an exemplary embodiment. As shown in FIG. 3 , the method for displaying an electroencephalogram includes the following steps:

Step S301, receiving a request for obtaining electroencephalogram information in an electroencephalogram, wherein the request includes a request period for the electroencephalogram information, and the electroencephalogram is a spectrum diagram of an electroencephalogram signal;

Step S302, based on the acquisition request, acquire the EEG data and EEG waveform corresponding to the requested time period; wherein the EEG data is displayed in the form of a planar brain topography map, and the EEG waveform is displayed in the form of a waveform graph.

In step S301, an EEG signal is acquired by an EEG signal detection device, and the acquired EEG signal is quantized to obtain a spectrum diagram of the EEG signal. FIG4(a) is a schematic diagram of a spectrum diagram of an EEG signal according to an exemplary embodiment. As shown in FIG4(a), the abscissa of the spectrum diagram is the sampling time of the EEG signal, and the ordinate is the frequency of the EEG signal. In order to facilitate the identification of the change trend over time, when rendering the spectrum diagram, the energy distribution of the EEG signal is distinguished by color in the EEG (the color is not clearly shown in the figure), for example, red indicates that the energy of the EEG signal is large, and the darker the red, the greater the energy of the EEG signal. Blue indicates that the energy of the EEG signal is small, and the darker the blue, the smaller the energy of the EEG signal. When the user is viewing the EEG, the spectrum graph can clearly show the changing trend of the EEG signal over time. If any abnormality is found, the user can use the mouse to point to the abnormal position of the spectrum graph to view the specific EEG information. When the mouse indication is received, a request for obtaining the EEG information is received. The horizontal axis corresponding to the position indicated by the mouse is the requested time period, indicating that the user expects to view the EEG information corresponding to the requested time period.

In step S302, the EEG information of each time period in the spectrum diagram is pre-stored in the memory of the display device. After receiving the acquisition request, the EEG information corresponding to the requested time period in the request is acquired. The EEG signal includes EEG data and EEG waveform. At the same time, the EEG data is displayed in the form of a planar brain topography (Brain Electrical Activity Mapping), and the EEG waveform is displayed in the form of a waveform diagram. Figure 4(b) is a schematic diagram of a planar brain topography according to an exemplary embodiment. As shown in Figure 4(b), the planar brain topography is a plane figure formed by a spherical scalp in which the power value of the EEG signal is represented by different colors. Each point in the figure represents each sampling point when the EEG signal is acquired. The sampling points with the same power value are connected, and the power values are distinguished by different colors. Figure 4(c) is a schematic diagram of a waveform diagram according to an exemplary embodiment. As shown in Figure 4(c), the horizontal axis of the waveform diagram is the time axis, and the vertical axis is the amplitude of the EEG signal waveform. It can be understood that the planar brain topography and waveform diagram are displayed in real time according to the request period. When the request period changes, the planar brain topography and waveform diagram corresponding to the changed request period are displayed in real time.

For example, when the user finds that the EEG signal of the i-th period in the spectrum graph is abnormal, the position corresponding to the i-th period in the spectrum graph is rendered in gray when the user clicks the position where the i-th period is located in the spectrum graph by mouse. At this time, a request to obtain the EEG information of the i-th period is received, and the plane brain topography and waveform graph corresponding to the i-th period are displayed above the spectrum graph. When the user clicks the position where the m-th period is located in the spectrum graph by mouse, the position corresponding to the m-th period in the spectrum graph is rendered in gray, and the position of the i-th period in the spectrum graph is rendered in the original color, and the plane brain topography and waveform graph corresponding to the m-th period are used to replace the plane brain topography and waveform graph corresponding to the i-th period, so that the plane brain topography and waveform graph corresponding to the m-th period are displayed above the spectrum graph.

In an exemplary embodiment of the present disclosure, a request for obtaining EEG information in an EEG is received, the request including a request period for the EEG information, the EEG being a spectrum diagram of the EEG signal, and based on the acquisition request, EEG data and EEG waveform corresponding to the request period are obtained, wherein the EEG data is displayed in the form of a planar brain topography map, and the EEG waveform is displayed in the form of a waveform diagram. While displaying the spectrum diagram of the EEG signal, the brain topography map and the waveform diagram are displayed in real time, which can provide more comprehensive information when reading the image, thereby improving the efficiency of image judgment and improving the quality of image judgment.

In an exemplary embodiment, FIG5 is a flow chart of a method for displaying electroencephalogram data according to an exemplary embodiment. As shown in FIG5, the method for displaying electroencephalogram data includes the following steps:

Step S501, obtaining electroencephalogram data corresponding to a first preset time length before the request period and electroencephalogram data corresponding to a second preset time length after the request period;

Step S502, simultaneously displaying in a three-dimensional manner the electroencephalogram data corresponding to the requested time period, the electroencephalogram data corresponding to a first preset time length before the requested time period, and the electroencephalogram data corresponding to a second preset time length after the requested time period.

After receiving the acquisition request, in order to facilitate the user to view more EEG data and compare the EEG data of different time periods, in addition to obtaining the EEG data corresponding to the requested time period, the EEG data corresponding to the first preset time length before the requested time period and the EEG data corresponding to the second preset time length after the requested time period must also be obtained. The first preset time length and the second preset time length can be determined according to actual needs, and the first preset time length and the second preset time length can be the same or different. For example, when the request period is the i-th period, if the first preset time length is n seconds and the second preset time length is s seconds, the EEG data corresponding to the i-nth period and the EEG data corresponding to the i+sth period are obtained. When the EEG data of the three time periods obtained are displayed simultaneously in a three-dimensional display mode, the vertical axis is the time axis, and the plane where the horizontal axis and the vertical axis are located is the plane where the planar brain topography map is located. Figure 6 is a schematic diagram of an EEG display according to an exemplary embodiment, as shown in Figure 6, wherein the EEG data of the three time periods are displayed in a three-dimensional display mode, which can more conveniently compare the EEG data of different time periods.

In an exemplary embodiment, FIG. 7 is a flow chart of a method for determining an electroencephalogram according to an exemplary embodiment, as shown in FIG. 7 , including the following steps:

Step S701, obtaining a time domain representation of an electroencephalogram signal based on a preset sampling duration;

Step S702, determining the power spectral density of the electroencephalogram signal according to the time domain representation of the electroencephalogram signal;

Step S703: determining the electroencephalogram according to the power spectrum density.

The preset sampling time length is determined according to actual needs, for example, it can be 5 seconds. When acquiring the EEG signal, the time domain representation of the EEG signal is obtained based on the preset sampling time length, that is, the time domain signal. The time domain signal is the original waveform of the EEG signal, and the horizontal axis is the time axis, and the vertical axis is the amplitude of the EEG signal. The time domain signal is transformed into a frequency domain signal of the EEG signal. The process of performing a time-frequency transformation on the time domain signal is also called the quantization of the EEG signal. When obtaining the frequency domain signal, the time domain signal can be transformed into a frequency domain signal by transformation methods such as Fourier transform, short-time Fourier transform and wavelet transform. When performing a time-frequency transformation based on the same transformation method, different frequency domain signals can also be obtained by changing parameters. For example, when performing a time-frequency transformation based on a transformation method of short-time Fourier transform, different frequency domain signals can be obtained by changing the window function. After obtaining the frequency domain signal of the EEG signal, the frequency of the EEG signal is obtained. Based on the time series of the time domain signal corresponding to the frequency domain signal, the power spectrum density of the EEG signal is obtained. The horizontal axis of the power spectrum density is the frequency, and the vertical axis is the amplitude at the frequency. Based on the time series of the time domain signal corresponding to the frequency domain signal, the power spectrum density at different times is accumulated to obtain the spectrum diagram of the EEG signal, that is, the EEG. Therefore, the horizontal axis of the EEG is time, and the vertical axis is frequency.

In an exemplary embodiment of the present disclosure, FIG8 is a block diagram of an electroencephalogram display device according to an exemplary embodiment. As shown in FIG8 , the electroencephalogram display device includes:

The receiving module 801 is configured to receive a request for obtaining electroencephalogram information in the electroencephalogram, wherein the request includes a request period for the electroencephalogram information, and the electroencephalogram is a spectrum diagram of the electroencephalogram signal;

The acquisition module 802 is configured to acquire the EEG data and EEG waveform corresponding to the requested time period based on the acquisition request;

Among them, the EEG data is displayed in the form of a planar brain topography map, and the EEG waveform is displayed in the form of a waveform graph.

In an exemplary embodiment, the acquisition module 802 is further configured to:

In an exemplary embodiment, the display device further includes a determining module 803 configured to:

The electroencephalogram is determined according to the power spectral density.

In an exemplary embodiment, the display device further includes:

The rendering module 804 is configured to render the EEG and use colors to distinguish energy distribution of the EEG signal in the EEG.

Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

FIG. 9 is a block diagram of a device 900 for executing a method for displaying an electroencephalogram according to an exemplary embodiment.

9 , the device 900 may include one or more of the following components: a processing component 902 , a memory 904 , a power component 906 , a multimedia component 908 , an audio component 910 , an input/output (I/O) interface 912 , a sensor component 914 , and a communication component 916 .

The processing component 902 generally controls the overall operation of the device 900, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 902 may include one or more processors 920 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 902 may include one or more modules to facilitate the interaction between the processing component 902 and other components. For example, the processing component 902 may include a multimedia module to facilitate the interaction between the multimedia component 908 and the processing component 902.

The memory 904 is configured to store various types of data to support the operation of the device 900. Examples of such data include instructions for any application or method operating on the device 900, contact data, phone book data, messages, pictures, videos, etc. The memory 904 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

The power component 906 provides power to the various components of the device 900. The power component 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device 900.

The multimedia component 908 includes a screen that provides an output interface between the device 900 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 908 includes a front camera and/or a rear camera. When the device 900 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 910 is configured to output and/or input audio signals. For example, the audio component 910 includes a microphone (MIC), and when the device 900 is in an operating mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 904 or sent via the communication component 916. In some embodiments, the audio component 910 also includes a speaker for outputting audio signals.

I/O interface 912 provides an interface between processing component 902 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: home button, volume button, start button, and lock button.

The sensor assembly 914 includes one or more sensors for providing various aspects of status assessment for the device 900. For example, the sensor assembly 914 can detect the open/closed state of the device 900, the relative positioning of components, such as the display and keypad of the device 900, and the sensor assembly 914 can also detect the position change of the device 900 or a component of the device 900, the presence or absence of user contact with the device 900, the orientation or acceleration/deceleration of the device 900, and the temperature change of the device 900. The sensor assembly 914 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 914 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 914 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 916 is configured to facilitate wired or wireless communication between the device 900 and other devices. The device 900 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 916 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 916 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, the apparatus 900 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 904 including instructions, and the instructions can be executed by the processor 920 of the device 900 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of a device, enables the device to execute a method for displaying an electroencephalogram, the method including any of the above-mentioned methods for displaying an electroencephalogram.

It will be appreciated by those skilled in the art that the embodiments of the present disclosure may be provided as methods, devices (equipment), or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Computer storage media include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data), including but not limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassette, magnetic tape, disk storage or other magnetic storage device, or any other medium that can be used to store desired information and can be accessed by a computer, etc. In addition, it is well known to those of ordinary skill in the art that communication media generally contain computer-readable instructions, data structures, program modules or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

The present disclosure is described with reference to the flowcharts and/or block diagrams of the methods, devices (equipment) and computer program products according to the embodiments of the present disclosure. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the processes and/or boxes in the flowchart and/or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in one or more processes in the flowchart and/or one or more blocks in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

In the present disclosure, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that an article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such article or device. In the absence of more restrictions, an element defined by the sentence "comprising..." does not exclude the presence of additional identical elements in the article or device comprising the element.

Although the preferred embodiments of the present disclosure have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present disclosure.

Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the intent of the present disclosure also includes these modifications and variations.

Industrial Applicability

The EEG display method disclosed in the present invention can display the brain topography map and waveform map in real time while displaying the EEG signal spectrum map, which can provide more and more comprehensive information when reading the map, thereby improving the efficiency of image judgment and enhancing the quality of image judgment.

Claims

A method for displaying an electroencephalogram, the method comprising:

receiving a request for obtaining electroencephalogram information in the electroencephalogram, wherein the request includes a request period for the electroencephalogram information, and the electroencephalogram is a spectrum diagram of an electroencephalogram signal;

Based on the acquisition request, acquiring the electroencephalogram data and electroencephalogram waveform corresponding to the requested time period;

The EEG data is displayed in the form of a planar brain topography map, and the EEG waveform is displayed in the form of a waveform graph.
According to the electroencephalogram display method of claim 1, the display method further comprises:

Acquire electroencephalogram data corresponding to a first preset time length before the requested time period and electroencephalogram data corresponding to a second preset time length after the requested time period;

The electroencephalogram data corresponding to the requested time period, the electroencephalogram data corresponding to a first preset time length before the requested time period, and the electroencephalogram data corresponding to a second preset time length after the requested time period are simultaneously displayed in a three-dimensional display manner.
According to the electroencephalogram display method of claim 1, the display method further comprises:

Based on a preset sampling duration, obtaining a time domain representation of the electroencephalogram signal;

Determining a power spectral density of the electroencephalogram signal based on a time domain representation of the electroencephalogram signal;

The electroencephalogram is determined according to the power spectral density.
According to the electroencephalogram display method of claim 1, the display method further comprises:

The electroencephalogram is rendered, and colors are used to distinguish energy distribution of the electroencephalogram signal in the electroencephalogram.
A display device for electroencephalogram, comprising:

A receiving module is configured to receive a request for obtaining electroencephalogram information in the electroencephalogram, wherein the request includes a request period for the electroencephalogram information, and the electroencephalogram is a spectrum diagram of the electroencephalogram signal;

an acquisition module, configured to acquire the electroencephalogram data and electroencephalogram waveform corresponding to the requested time period based on the acquisition request;

The EEG data is displayed in the form of a planar brain topography map, and the EEG waveform is displayed in the form of a waveform graph.
According to the electroencephalogram display device of claim 5, the acquisition module is further configured to:

Acquire electroencephalogram data corresponding to a first preset time length before the requested time period and electroencephalogram data corresponding to a second preset time length after the requested time period;

The electroencephalogram data corresponding to the requested time period, the electroencephalogram data corresponding to the first preset time length before the requested time period, and the electroencephalogram data corresponding to the second preset time length after the requested time period are simultaneously displayed in a three-dimensional display manner.
According to the electroencephalogram display device of claim 5, the display device further comprises a determination module configured to:

Based on a preset sampling duration, obtaining a time domain representation of the electroencephalogram signal;

Determining a power spectral density of the electroencephalogram signal based on a time domain representation of the electroencephalogram signal;

The electroencephalogram is determined according to the power spectral density.
According to the electroencephalogram display device of claim 5, the display device further comprises:

The rendering module is configured to render the electroencephalogram and use colors to distinguish the energy distribution of the electroencephalogram signal in the electroencephalogram.
An electroencephalogram display device, characterized in that it comprises:

processor;

a memory for storing processor-executable instructions;

The processor is configured to execute the method as claimed in any one of claims 1 to 4.
A non-transitory computer-readable storage medium, when instructions in the storage medium are executed by a processor of a device, is characterized in that the device is enabled to execute the method according to any one of claims 1 to 14.