Display method and device of electroencephalogram and storage medium

Abstract

The invention relates to an electroencephalogram display method and device and a storage medium. The electroencephalogram display method comprises the steps that an acquisition request for electroencephalogram information in an electroencephalogram is received, the acquisition request comprises a request time period for the electroencephalogram information, the electroencephalogram is a spectrogram of an electroencephalogram signal, and electroencephalogram data and electroencephalogram waveforms corresponding to the request time period are acquired based on the acquisition request, the electroencephalogram data is displayed in a plane brain topographic map mode, and the electroencephalogram waveform is displayed in an oscillogram mode.

Description

Electroencephalogram display method, device and storage medium Technical Field

[0001] The present disclosure relates to, but is not limited to, a method, device, and storage medium for displaying an electroencephalogram (EEG). Background Art

[0002] The electroencephalogram (EEG) is an electrophysiological monitoring method that records brain waves and is primarily used to assist in the diagnosis of brain-related diseases. It is most commonly used to diagnose epilepsy, for which it is one of the gold standards. It can also be used to diagnose sleep disorders, determine the depth of anesthesia, determine the degree of coma, assess cerebrovascular disease, and determine brain death. Furthermore, EEG was once the first-line method for diagnosing tumors, stroke, and other focal brain diseases. Therefore, EEG is a valuable tool for clinical diagnosis and research. However, the workload of continuous EEG signal monitoring and analysis has hindered widespread bedside implementation. Therefore, the use of computers to quantify and compress EEG signals into simple, intuitive graphs has emerged. This is called quantitative EEG (qEEG). qEEG simplifies the EEG interpretation process. However, conventional quantitative EEG typically only reflects a single aspect of EEG information and cannot provide multiple aspects of information within the same plane.

[0003] Summary of the Invention

[0004] To overcome the problems existing in the related art, the present disclosure provides a method, device and storage medium for displaying an electroencephalogram (EEG).

[0005] According to a first aspect of the present disclosure, a method for displaying an electroencephalogram is provided, the method comprising:

[0006] 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;

[0007] Based on the acquisition request, acquiring electroencephalogram data and electroencephalogram waveform corresponding to the requested time period;

[0008] 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.

[0009] In an exemplary embodiment, the display method further includes:

[0010] 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;

[0011] 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.

[0012] In an exemplary embodiment, the display method further includes:

[0013] Based on a preset sampling duration, obtaining a time domain representation of the electroencephalogram signal;

[0014] determining a power spectral density of the electroencephalogram signal based on a time domain representation of the electroencephalogram signal;

[0015] The electroencephalogram is determined according to the power spectral density.

[0016] In an exemplary embodiment, the display method further includes:

[0017] The electroencephalogram is rendered, and energy distribution of the electroencephalogram signal is distinguished by using colors in the electroencephalogram.

[0018] According to a second aspect of the present disclosure, there is provided an electroencephalogram display device, the display device comprising:

[0019] A receiving module is configured to receive an acquisition request for electroencephalogram information in the electroencephalogram, wherein the acquisition request includes a request period for the electroencephalogram information, and the electroencephalogram is a spectrum diagram of the electroencephalogram signal;

[0020] an acquisition module configured to acquire, based on the acquisition request, the electroencephalogram data and the electroencephalogram waveform corresponding to the requested time period;

[0021] 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.

[0022] In an exemplary embodiment, the acquisition module is further configured to:

[0023] 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;

[0024] 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.

[0025] In an exemplary embodiment, the display device further includes a determining module configured to:

[0026] Based on a preset sampling duration, obtaining a time domain representation of the electroencephalogram signal;

[0027] determining a power spectral density of the electroencephalogram signal based on a time domain representation of the electroencephalogram signal;

[0028] The electroencephalogram is determined according to the power spectral density.

[0029] In an exemplary embodiment, the display device further includes:

[0030] The rendering module is configured to render the electroencephalogram and use colors to distinguish the energy distribution of the electroencephalogram signal in the electroencephalogram.

[0031] According to a third aspect of the present disclosure, there is provided an electroencephalogram display device, comprising:

[0032] processor;

[0033] a memory for storing processor-executable instructions;

[0034] The processor is configured to execute the method as described in the first aspect of the embodiment of the present disclosure.

[0035] According to a fourth aspect of the present disclosure, a non-transitory 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.

[0036] The above-mentioned 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 comprehensive information when reading the map, thereby improving the efficiency of image judgment and improving the quality of image judgment.

[0037] 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 disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which constitute part of this disclosure, are used to provide a further understanding of the disclosure. The exemplary embodiments of the disclosure and their descriptions are used to explain the disclosure and do not constitute an improper limitation of the disclosure. In the accompanying drawings:

[0039] Fig. 1 is a schematic diagram showing a quantified electroencephalogram according to an exemplary embodiment.

[0040] Fig. 2 is a schematic diagram showing a quantified electroencephalogram according to an exemplary embodiment.

[0041] Fig. 3 is a flow chart of a method for displaying an electroencephalogram according to an exemplary embodiment.

[0042] Fig. 4 is a schematic diagram showing an electroencephalogram display according to an exemplary embodiment.

[0043] Fig. 5 is a flow chart showing a method for displaying electroencephalogram data according to an exemplary embodiment.

[0044] Fig. 6 is a schematic diagram showing an electroencephalogram display according to an exemplary embodiment.

[0045] Fig. 7 is a flowchart showing a method for determining an electroencephalogram according to an exemplary embodiment.

[0046] FIG8 is a block diagram of an electroencephalogram display device according to an exemplary embodiment.

[0047] FIG9 is a block diagram showing an apparatus for executing a method for displaying an electroencephalogram according to an exemplary embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions 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, not 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, in the absence of conflict, the embodiments in the present disclosure and the features in the embodiments can be arbitrarily combined with each other.

[0049] In related technologies, qEEG usually includes the following two forms: the first is the quantitative EEG shown in Figure 1. Due to the large number of leads and multiple quantification types, it is impossible to provide spatially related information in the same plane; the second is the quantitative EEG shown in Figure 2. It presents quantitative information in the form of a tiled brain topography. Although it can provide spatially related information, it will lose relevant trend information.

[0050] 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 including the requested period of the electroencephalogram information, the electroencephalogram being a spectrum diagram of the electroencephalogram signal, and based on the acquisition request, the electroencephalogram data and electroencephalogram waveform corresponding to the requested 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.

[0051] In an exemplary embodiment of the present disclosure, a method for displaying an electroencephalogram is provided. FIG3 is a flow chart of the method for displaying an electroencephalogram according to an exemplary embodiment. As shown in FIG3 , the method for displaying an electroencephalogram includes the following steps:

[0052] Step S301, receiving a request for obtaining electroencephalogram information in an electroencephalogram, wherein the request includes a requested period of the electroencephalogram information, and the electroencephalogram is a spectrum diagram of the electroencephalogram signal;

[0053] 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.

[0054] In step S301, an EEG signal is acquired by an EEG signal detection device, and the acquired EEG signal is quantified to obtain a spectrum of the EEG signal. Figure 4(a) is a schematic diagram of a spectrum of an EEG signal according to an exemplary embodiment. As shown in Figure 4(a), the horizontal axis of the spectrum is the sampling time of the EEG signal, and the vertical axis is the frequency of the EEG signal. In order to facilitate the identification of the change trend over time, when rendering the spectrum, 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 users view the EEG, they can clearly see the changing trend of the EEG signal over time through the spectrum graph. If any abnormality is found, they can use the mouse to point to the abnormal position of the spectrum graph to view the specific EEG information. When a mouse pointer is received, a request for obtaining EEG information is received. The horizontal axis corresponding to the position indicated by the mouse is the requested time period, indicating that the user wants to view the EEG information corresponding to the requested time period.

[0055] In step S302, the EEG information of each time period in the spectrum graph 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 map (Brain Electrical Activity Mapping), and the EEG waveform is displayed in the form of a waveform graph. Figure 4(b) is a schematic diagram of a planar brain topography map according to an exemplary embodiment. As shown in Figure 4(b), the planar brain topography map is a planar graph of a spherical scalp in which the power values ​​of the EEG signals are represented by different colors. Each point in the figure represents each sampling point when the EEG signal is acquired. Sampling points with the same power value are connected, and different colors are used to distinguish the power values. Figure 4(c) is a schematic diagram of a waveform graph according to an exemplary embodiment. As shown in Figure 4(c), the horizontal axis of the waveform graph is the time axis, and the vertical axis is the amplitude of the EEG signal waveform. It is understandable that the planar brain topography map and waveform map are displayed in real time according to the request period. When the request period changes, the planar brain topography map and waveform map corresponding to the changed request period are displayed in real time.

[0056] For example, when a user discovers an abnormality in the EEG signal for the i-th period in the spectrogram, they click the mouse on the position where the i-th period is located. The position corresponding to the i-th period in the spectrogram is rendered in gray. At this time, a request to obtain the EEG information for the i-th period is received, and the planar brain topography and waveform graph corresponding to the i-th period are displayed above the spectrogram. When a user clicks the mouse on the position where the m-th period is located in the spectrogram, the position corresponding to the m-th period in the spectrogram is rendered in gray, and the position of the i-th period in the spectrogram is rendered in its original color. At the same time, the planar brain topography and waveform graph corresponding to the m-th period replace the planar brain topography and waveform graph corresponding to the i-th period, so that the planar brain topography and waveform graph corresponding to the m-th period are displayed above the spectrogram.

[0057] In an exemplary embodiment of the present disclosure, a request for obtaining EEG information in an EEG is received, the request including a requested period of EEG information, the EEG being a spectrum diagram of an EEG signal, and based on the request, EEG data and EEG waveform corresponding to the requested 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.

[0058] In an exemplary embodiment, FIG5 is a flow chart of a method for displaying EEG data according to an exemplary embodiment. As shown in FIG5 , the method for displaying EEG data includes the following steps:

[0059] 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;

[0060] Step S502 : Simultaneously displaying in a three-dimensional manner the electroencephalogram data corresponding to the requested period, the electroencephalogram data corresponding to a first preset time length before the requested period, and the electroencephalogram data corresponding to a second preset time length after the requested period.

[0061] After receiving the acquisition request, in order to facilitate the user to view more EEG data and compare 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 are also 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 requested time period is the i-th time 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 in-th time period and the EEG data corresponding to the i+s-th time 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 and vertical axes 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, the EEG data of the three time periods are displayed in a three-dimensional display mode, which can make it easier to compare the EEG data of different time periods.

[0062] In an exemplary embodiment, FIG7 is a flow chart of a method for determining an electroencephalogram according to an exemplary embodiment. As shown in FIG7 , the method includes the following steps:

[0063] Step S701, obtaining a time domain representation of the electroencephalogram signal based on a preset sampling duration;

[0064] Step S702, determining the power spectral density of the EEG signal based on the time domain representation of the EEG signal;

[0065] Step S703: determining the electroencephalogram according to the power spectrum density.

[0066] 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 subjected to time-frequency transformation to obtain the frequency domain signal of the EEG signal. The process of performing time-frequency transformation on the time domain signal is also called quantization of the EEG signal. When obtaining the frequency domain signal, the time domain signal can be subjected to time-frequency transformation by transformation methods such as Fourier transform, short-time Fourier transform and wavelet transform. When performing time-frequency transformation based on the same transformation method, different frequency domain signals can also be obtained by changing parameters. For example, when performing time-frequency transformation based on the 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 frequency, and the vertical axis is the amplitude at that frequency. Based on the time series of the time domain signal corresponding to the frequency domain signal, the power spectrum density at different moments 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.

[0067] 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:

[0068] 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;

[0069] An acquisition module 802 is configured to acquire, based on the acquisition request, the electroencephalogram data and electroencephalogram waveform corresponding to the requested time period;

[0070] 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.

[0071] In an exemplary embodiment, the acquisition module 802 is further configured to:

[0072] 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;

[0073] 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.

[0074] In an exemplary embodiment, the display device further includes a determining module 803 configured to:

[0075] Based on a preset sampling duration, obtaining a time domain representation of the electroencephalogram signal;

[0076] determining a power spectral density of the electroencephalogram signal based on a time domain representation of the electroencephalogram signal;

[0077] The electroencephalogram is determined according to the power spectral density.

[0078] In an exemplary embodiment, the display device further includes:

[0079] The rendering module 804 is configured to render the EEG and use colors to distinguish energy distribution of the EEG signal in the EEG.

[0080] Regarding the apparatus 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.

[0081] FIG9 is a block diagram showing an apparatus 900 for executing a method for displaying an electroencephalogram (EEG) according to an exemplary embodiment.

[0082] 9 , apparatus 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 .

[0083] The processing component 902 generally controls the overall operation of the device 900, such as operations associated with display, phone calls, data communications, camera operation, and recording operations. The processing component 902 may include one or more processors 920 to execute instructions to perform all or part of the steps of the above-described method. In addition, the processing component 902 may include one or more modules to facilitate interaction between the processing component 902 and other components. For example, the processing component 902 may include a multimedia module to facilitate interaction between the multimedia component 908 and the processing component 902.

[0084] The memory 904 is configured to store various types of data to support the operations 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.

[0085] The power supply component 906 provides power to the various components of the device 900. The power supply 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.

[0086] 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 can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor can 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 can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.

[0087] The audio component 910 is configured to output and / or input audio signals. For example, the audio component 910 includes a microphone (MIC), which is configured to receive external audio signals when the device 900 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal can be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 also includes a speaker for outputting audio signals.

[0088] I / O interface 912 provides an interface between processing component 902 and peripheral interface modules, such as a keyboard, click wheel, buttons, etc. These buttons may include but are not limited to: a home button, volume buttons, a start button, and a lock button.

[0089] The sensor assembly 914 includes one or more sensors for providing various aspects of the status assessment of 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. The sensor assembly 914 can also detect changes in the position 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 temperature changes 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 a light 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.

[0090] 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.

[0091] 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-described method.

[0092] 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 apparatus 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.

[0093] A non-transitory computer-readable storage medium, when instructions in the storage medium are executed by a processor of a device, enables the device to perform a method for displaying an electroencephalogram, wherein the method includes any of the above-mentioned methods for displaying an electroencephalogram.

[0094] Those skilled in the art will appreciate 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 fully hardware embodiment, a fully software embodiment, or an embodiment combining software and hardware aspects. Furthermore, 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 code. 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 disks (DVDs) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and may include any information delivery medium.

[0095] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, apparatus (devices) 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 or more processes in the flowchart and / or one or more boxes in the block diagram.

[0096] 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.

[0097] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that 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.

[0098] In this disclosure, the terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that an article or device comprising a list 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 further limitations, an element defined by the phrase "comprising..." does not preclude the presence of additional identical elements in the article or device comprising the element.

[0099] 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 concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present disclosure.

[0100] Obviously, those skilled in the art may 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 present disclosure is intended to include such modifications and variations. Industrial Applicability

[0101] The EEG display method disclosed in the present invention displays brain topography and waveform diagrams in real time while displaying the EEG signal spectrum diagram, which can provide more comprehensive information when reading the diagram, thereby improving the efficiency and quality of image judgment.

Claims

1. 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 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.

2. The method for displaying an electroencephalogram according to claim 1, further comprising: 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.

3. The method for displaying an electroencephalogram according to claim 1, further comprising: 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.

4. The method for displaying an electroencephalogram according to claim 1, further comprising: The electroencephalogram is rendered, and energy distribution of the electroencephalogram signal is distinguished by using colors in the electroencephalogram.

5. An electroencephalogram display device, comprising: A receiving module is configured to receive an acquisition request for electroencephalogram information in the electroencephalogram, wherein the acquisition 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, based on the acquisition request, the electroencephalogram data and the 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.

6. The electroencephalogram display device according to claim 5, wherein 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 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.

7. The electroencephalogram display device according to claim 5, further comprising 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.

8. The electroencephalogram display device according to claim 5, further comprising: The rendering module is configured to render the electroencephalogram and use colors to distinguish the energy distribution of the electroencephalogram signal in the electroencephalogram.

9. An electroencephalogram display device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to execute the method according to any one of claims 1 to 4.

10. A non-transitory computer-readable storage medium, wherein when instructions in the storage medium are executed by a processor of a device, The device is enabled to perform the method according to any one of claims 1 to 14.

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