Collection system for electroencephalogram signals and eye movement signals

Abstract

The utility model provides an electroencephalogram signal and eye movement signal collecting system which comprises a signal collecting device, and the signal collecting device comprises an electroencephalogram signal collecting mechanism, an eye movement signal collecting mechanism, an audio playing mechanism and a connecting assembly. The connecting assembly is connected with the electroencephalogram signal collecting mechanism, the eye movement signal collecting mechanism and the audio playing mechanism. The electroencephalogram signal collecting mechanism is fixed to the connecting assembly and located in an electroencephalogram signal collecting area of the to-be-detected object. The eye movement signal acquisition mechanism is fixed on the connecting assembly and is located in the eye movement signal acquisition area of the object to be detected. The audio playing mechanism is fixed on the connecting assembly and located in the audio receiving area of the to-be-tested object. The audio playing mechanism is used for playing the target audio. The electroencephalogram signal acquisition mechanism is used for acquiring an electroencephalogram signal when the target audio is played and an electroencephalogram signal when the target audio is not played; the eye movement signal acquisition mechanism is used for acquiring eye movement signals. The problem that an acquisition system is low in portability and usability is solved.

Description

Technical Field

[0001] This application relates to the field of acquisition technologies, and particularly to a system for acquiring electroencephalogram (EEG) signals and eye movement signals. Background Art

[0002] EEG signals refer to weak electrical signals generated by the electrochemical activities of neurons in the brain, which can reveal the characteristics of brain activities. Eye movement signals refer to bioelectrical signals representing the potential changes around the eyes caused by eye movements, which can reveal the characteristics of eye activities. Therefore, the cognitive ability of a user can be detected and classified based on the user's eye movement signals and EEG signals, and then the cognitive state of the user can be detected. For example, users with Alzheimer's disease are accompanied by mild cognitive impairment (MCI), which is a cognitive state between normal aging and dementia. By comprehensively analyzing EEG signals and eye movement signals, the brain activities and eye movement patterns related to Alzheimer's disease can be identified, thus assisting in the detection of Alzheimer's disease.

[0003] However, the acquisition systems for EEG signals and eye movement signals are relatively complex, with low portability and usability. Summary of the Utility Model

[0004] This application provides a system for acquiring EEG signals and eye movement signals to solve the problem of low portability and usability of the acquisition system.

[0005] This application provides a system for acquiring EEG signals and eye movement signals, including a signal acquisition device. The signal acquisition device includes an EEG signal acquisition mechanism, an eye movement signal acquisition mechanism, an audio playback mechanism, and a connection component.

[0006] The connection component is respectively connected to the EEG signal acquisition mechanism, the eye movement signal acquisition mechanism, and the audio playback mechanism. The EEG signal acquisition mechanism is fixed on the connection component and is located within the EEG signal acquisition area of the object to be measured. The eye movement signal acquisition mechanism is fixed on the connection component and is located within the eye movement signal acquisition area of the object to be measured. The audio playback mechanism is fixed on the connection component and is located within the audio reception area of the object to be measured.

[0007] The audio playback mechanism is used to play a target audio. The EEG signal acquisition mechanism is used to acquire EEG signals when the target audio is played and when the target audio is not played. The eye movement signal acquisition mechanism is used to acquire eye movement signals.

[0008] In an optional embodiment, it further includes a signal processing device, and the signal acquisition device is connected to the signal processing device.

[0009] The signal processing device includes a processor and a data output module; the processor is connected to the data output module; the processor is used for analyzing electroencephalogram signals and eye movement signals; the data output module is used for outputting the analysis results of electroencephalogram signals and eye movement signals.

[0010] In an alternative embodiment, the signal acquisition device includes a sending module; the signal processing device includes a receiving module; the sending module is communicatively connected to the receiving module;

[0011] The sending module is used for sending electroencephalogram signals and eye movement signals to the receiving module; the receiving module is used for receiving electroencephalogram signals and eye movement signals.

[0012] In an alternative embodiment, the data output module includes at least one of a display, a voice output device, and an indicator light.

[0013] In an alternative embodiment, the electroencephalogram signal acquisition mechanism includes a plurality of sensing electrodes; the sensing electrodes are used for attaching to the electroencephalogram signal acquisition area of the object to be measured to acquire electroencephalogram signals.

[0014] In an alternative embodiment, the audio playback mechanism includes an audio processing module and an audio output module; the audio processing module is connected to the audio output module; the audio processing module is used for converting the target audio into a playable audio signal; the audio output module is used for outputting the audio signal; the audio output module is at least one of a speaker, a wired earphone, a wireless earphone, and a speaker box.

[0015] In an alternative embodiment, the connecting component is in a ring shape; the connecting component is an elastic component.

[0016] In an alternative embodiment, a reinforcement component is further included; the reinforcement component is connected to the connecting component; the reinforcement component is in a ring shape; there is an included angle between the ring surface of the connecting component and the ring surface of the reinforcement component; the reinforcement component and the connecting component surround the object to be measured to fix the signal acquisition device.

[0017] In an alternative embodiment, the connecting component includes a buckle; the reinforcement component includes a buckle hole and a slot; the buckle is detachably connected to the buckle hole and the slot.

[0018] In an alternative embodiment, the reinforcement component is an elastic component; one end of the reinforcement component is provided with a fixed belt ring, and the other end of the reinforcement component is provided with a fixed belt magic tape; the fixed belt magic tape includes a hook surface and a fluff surface, the fixed belt magic tape passes through the fixed belt ring and the hook surface is adhered to the fluff surface.

[0019] As can be seen from the above technical solutions, the present application provides a collection system for electroencephalogram signals and eye movement signals, including a signal collection device. The signal collection device includes an electroencephalogram signal collection mechanism, an eye movement signal collection mechanism, an audio playback mechanism, and a connection component. The connection component is respectively connected to the electroencephalogram signal collection mechanism, the eye movement signal collection mechanism, and the audio playback mechanism. The electroencephalogram signal collection mechanism is fixed on the connection component and is located within the electroencephalogram signal collection area of the object to be measured. The eye movement signal collection mechanism is fixed on the connection component and is located within the eye movement signal collection area of the object to be measured. The audio playback mechanism is fixed on the connection component and is located within the audio reception area of the object to be measured. The audio playback mechanism is used to play a target audio. The electroencephalogram signal collection mechanism is used to collect electroencephalogram signals when the target audio is played and when the target audio is not played. The eye movement signal collection mechanism is used to collect eye movement signals. This solves the problem of low portability and usability of the collection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0021] Figure 1 It is a schematic diagram of the architecture of the collection system provided by the embodiment of the present application;

[0022] Figure 2 It is a schematic diagram of the structure of the signal collection device provided by the embodiment of the present application;

[0023] Figure 3 It is a top view of the signal collection device provided by the embodiment of the present application;

[0024] Figure 4 It is a schematic diagram of the structure of the reinforcement component provided by the embodiment of the present application;

[0025] Figure 5 It is a schematic diagram of the structure of the fixing band Velcro provided by the embodiment of the present application.

[0026] Illustration:

[0027] Among them, 100 - signal acquisition device, 200 - signal processing device, 300 - connection component, 400 - reinforcement component, 110 - electroencephalogram signal acquisition mechanism, 120 - eye movement signal acquisition mechanism, 121 - fixed bracket, 122 - first interface, 130 - audio playback mechanism, 131 - second interface, 140 - sending module, 150 - first power supply, 210 - processor, 220 - data output module, 230 - receiving module, 240 - second power supply, 310 - regulator, 320 - buckle, 410 - buckle hole slot, 420 - fixed belt loop, 430 - fixed belt magic tape, 431 - hook surface, 432 - fluff surface. Detailed implementation manners

[0028] To make the objectives and implementation manners of this application clearer, the following will clearly and completely describe the exemplary implementation manners of this application with reference to the accompanying drawings in the exemplary embodiments of this application. Obviously, the described exemplary embodiments are only a part rather than all of the embodiments of this application.

[0029] It should be noted that the brief description of terms in this application is only for facilitating the understanding of the subsequent described implementation manners, rather than intending to limit the implementation manners of this application. Unless otherwise specified, these terms should be understood in their ordinary and common meanings.

[0030] In this application, terms such as "first", "second", "third", etc. in the specification, claims and the above-mentioned drawings are used to distinguish similar or the same type of objects or entities, and do not necessarily mean to limit a specific order or sequence, unless otherwise noted. It should be understood that such terms can be interchanged under appropriate circumstances.

[0031] Electroencephalogram signal refers to the weak electrical signal generated by the electrochemical activities of neurons in the brain, which can reveal the characteristics of brain activities. Eye movement signal refers to a bioelectrical signal of the potential change around the eyes caused by eye movement, which can reveal the characteristics of eye activities. Therefore, the cognitive ability of a user can be detected and classified based on the user's eye movement signal and electroencephalogram signal, and then the cognitive state of the user can be detected.

[0032] In some embodiments, the detection and classification of cognitive ability mainly focus on neuropathological detection and biosignal processing technologies. Electroencephalogram (EEG) and eye-tracking technologies can be used to capture and analyze the time-frequency characteristics and non-linear characteristics of the electroencephalogram signal of the object to be measured, as well as the changes in eye movement, so as to achieve the detection and classification of cognitive ability.

[0033] For example, the detection and classification of cognitive abilities can be used to assist in the detection of Alzheimer's disease. Users with Alzheimer's Disease (AD) are accompanied by Mild Cognitive Impairment (MCI), which is a cognitive state between normal aging and dementia. Before the occurrence of MCI, there is also a stage of Subjective Cognitive Decline (SCD). Both SCD and MCI are considered to be the prodromal stage of dementia and an important time window for the early diagnosis of AD. At this stage, intervention can be carried out by changing the patient's lifestyle, controlling risk factors, improving sleep, etc. Therefore, the early identification and screening of AD are extremely important.

[0034] Resting-state EEG data can be used as a candidate biomarker for AD detection. The diagnosis of AD mainly relies on biomarkers in cerebrospinal fluid and peripheral blood, as well as structural brain imaging (such as CT / MRI) and metabolic imaging (such as PET / SPECT), and there are obvious changes in the latency, speed, and accuracy of the AD patient's saccadic eye movements (requiring the subject to fixate on a central point and then immediately saccade to the surrounding targets when the target appears). In the case of antisaccades (the subject saccades in the opposite direction of the target), compared with normal users, AD patients make more incorrect saccades to the target and fewer corrections. In addition, sound can also be used as a way to distinguish AD. The EEG responses of subjects under specific sound descriptions are different, and by detecting the EEG responses, it can be analyzed whether the user is likely to be an AD or MCI patient.

[0035] Obviously, the detection and classification of cognitive abilities need to be analyzed from multiple dimensions, but the acquisition systems for EEG signals and eye movement signals are relatively complex, with low portability and ease of use.

[0036] Therefore, the embodiments of this application provide an acquisition system for EEG signals and eye movement signals. As Figure 1 shown, it is a schematic diagram of the architecture of the acquisition system provided by the embodiments of this application. The acquisition system includes a signal acquisition device 100 and a signal processing device 200. The signal acquisition device 100 is communicatively connected to the signal processing device 200. The signal acquisition device 100 is used to acquire EEG signals and eye movement signals and send them to the signal processing device 200. The signal processing device 200 is used to analyze the EEG signals and eye movement signals and output the analysis results.

[0037] As Figure 1 、 Figure 2 shown, Figure 2Schematic diagram of the signal acquisition device 100 provided by the embodiments of the present application. The signal acquisition device 100 includes an electroencephalogram (EEG) signal acquisition mechanism 110, an eye movement signal acquisition mechanism 120, an audio playback mechanism 130, and a connection component 300.

[0038] Among them, the connection component 300 is respectively connected to the EEG signal acquisition mechanism 110, the eye movement signal acquisition mechanism 120, and the audio playback mechanism 130. As Figure 2 shown, the EEG signal acquisition mechanism 110 is fixed on the connection component 300 and is located within the EEG signal acquisition area of the object to be measured. The eye movement signal acquisition mechanism 120 is fixed on the connection component 300 and is located within the eye movement signal acquisition area of the object to be measured. The audio playback mechanism 130 is fixed on the connection component 300 and is located within the audio receiving area of the object to be measured.

[0039] For example, as Figure 2 shown, when signal acquisition is performed, the connection component 300 is worn on the head of the object to be measured. After the object to be measured wears the connection component 300, the connection component 300 fixes the audio playback mechanism 130 on the ear of the object to be measured, and plays a preset target audio through the audio playback mechanism 130 so that the object to be measured can hear the target audio. The connection component 300 fixes the EEG signal acquisition mechanism 110 on the brain of the object to be measured, and acquires the EEG signals when the target audio is played and the EEG signals when the target audio is not played through the EEG signal acquisition mechanism 110. The connection component 300 fixes the eye movement signal acquisition mechanism 120 on the eye of the object to be measured, and acquires the eye movement signals through the eye movement signal acquisition mechanism 120.

[0040] In some embodiments, as Figure 1 shown, the signal acquisition device 100 includes a first power supply 150, and the signal acquisition device 100 is powered by the first power supply 150. The signal processing device 200 includes a second power supply 240, and the signal processing device 200 is powered by the second power supply 240.

[0041] In some embodiments, the signal acquisition device 100 includes a sending module 140, and the signal processing device 200 includes a receiving module 230. The sending module 140 is communicatively connected to the receiving module 230. The sending module 140 is configured to send EEG signals and eye movement signals to the receiving module 230. The receiving module 230 is configured to receive EEG signals and eye movement signals.

[0042] In some embodiments, the sending module 140 and the receiving module 230 can be wireless communication devices such as Bluetooth communication devices, WIFI communication devices, GPRS communication devices, NFC communication devices, or can be wired communication devices such as USB cables and serial cables. That is to say, the signal acquisition device 100 can send electroencephalogram signals and eye movement signals to the signal processing device 200 in a wireless or wired manner.

[0043] In some embodiments, the electroencephalogram signal acquisition mechanism 110 includes a plurality of sensing electrodes 111. The sensing electrodes 111 are used to attach to the electroencephalogram signal acquisition area of the object to be measured to acquire electroencephalogram signals. For example, as Figure 1 shown, there are 2 sensing electrodes electrically connected in the signal acquisition device 100, and the 2 sensing electrodes are respectively attached to the temples of the object to be measured ( Figure 1 one sensing electrode is shown in the figure), and the electrical signal obtained by one of the sensing electrodes can be used as a reference voltage (that is, the relative zero potential of the object to be measured's body). The weak electrical signals generated by the discharge of brain neurons are captured by the sensing electrodes to achieve stable and accurate electroencephalogram signal acquisition.

[0044] In some embodiments, the electroencephalogram signal acquisition mechanism 110 includes an amplifier and a filter. The sensing electrode is connected to the amplifier, the amplifier is connected to the filter, and the filter is connected to the sending module 140. Among them, the sensing electrode contacts the electroencephalogram signal acquisition area of the object to be measured, acquires the electroencephalogram signals generated by the brain of the object to be measured, and transmits the electroencephalogram signals to the amplifier. The amplifier performs amplification processing on the electroencephalogram signals collected by the sensing electrode to enhance the amplitude of the weak electrical signals collected by the sensing electrode. The electroencephalogram signals after amplification processing are then transmitted to the filter. The filter performs filtering processing on the electroencephalogram signals to remove noise and interference components, such as artifacts generated by muscle activity, eye movement, etc., to maintain the accuracy and clarity of the signals. The electroencephalogram signals after filtering processing are sent to the signal processing device 200 through the sending module 140.

[0045] In some embodiments, the eye movement signal acquisition mechanism 120 can be an eye tracker, which can track and measure the position of the eyeball and the information of eyeball movement based on image processing technology and infrared technology. As Figure 3 shown, the signal acquisition device 100 includes a first interface 122, and the eye tracker can be connected to the sending module 140 through the first interface 122. The eye tracker acquires the eye movement signals of the object to be measured and sends them to the signal processing device 200 through the sending module 140.

[0046] Among them, the first interface 122 can include but is not limited to the following: USB interface, high-definition multimedia interface (HDMI), digital video interface (DVI), video graphics array interface (VGA), display port interface (Display Port).

[0047] In some embodiments, such as Figure 2 , Figure 3 shown, the signal acquisition device 100 further includes a fixing bracket 121, the fixing bracket 121 is connected to the eye movement signal acquisition mechanism 120, and the free end of the fixing bracket 121 extends downward. For example, as Figure 2 shown, the free end extending downward in the fixing bracket 121 can be hooked on the ear of the object to be measured to fix the eye movement signal acquisition mechanism 120.

[0048] In some embodiments, the audio playback mechanism 130 includes an audio processing module and an audio output module, and the audio processing module is connected to the audio output module. The audio processing module may include circuit modules such as an amplifier, a filter, an encoder / decoder, etc., for performing processing and decoding tasks of the target audio to convert the target audio into an audible audio signal. The audio output module is used to output the decoded audio signal, that is, to convert the audio signal into an audible sound, so as to realize the playback of the target audio.

[0049] In some embodiments, the audio output module may be at least one of a speaker, a wired earphone, a wireless earphone, a headphone, and a speaker. As Figure 3 shown, the signal acquisition device 100 includes a second interface 131, and the audio output module is connected to the audio processing module through the second interface 131. So that the audio signal of the target audio can be transmitted to the audio output module through the second interface 131 to be presented as sound.

[0050] For example, as Figure 2 shown, the audio output module is an in-ear earphone and is worn in the cochlea of the object to be measured. By inserting the in-ear earphone into the second interface 131, the audio processing module can be connected to the in-ear earphone, and the audio signal of the audio processing module can be output through the in-ear earphone.

[0051] Among them, the second interface 131 may include but is not limited to the following: a TRS (Tip Ring Sleeve) interface, an XLR (Cannon) interface, an RCA (Radio Corporation of America) interface, a USB (Universal Serial Bus) interface, an HDMI (High-Definition Multimedia Interface) interface, and a Lightning interface.

[0052] In some embodiments, such as Figure 1 shown, the signal processing device 200 includes a processor 210 and a data output module 220, and the processor 210 is connected to the data output module 220. The processor 210 is used to analyze the electroencephalogram signal and the eye movement signal. The data output module 220 is used to output the analysis results of the electroencephalogram signal and the eye movement signal.

[0053] Such as Figure 1As shown, in the signal acquisition device 100, the sending module 140 is connected to the electroencephalogram (EEG) signal acquisition mechanism 110 and the eye movement signal acquisition mechanism 120. The EEG signals acquired by the EEG signal acquisition mechanism 110 and the eye movement signals acquired by the eye movement signal acquisition mechanism 120 are sent to the signal processing device 200 through the sending module 140.

[0054] In the signal processing device 200, the processor 210 is connected to the receiving module 230 and the data output module 220. The processor 210 receives the EEG signals and eye movement signals through the receiving module 230, generates an analysis result after analysis, and transmits the analysis result to the data output module 220, and outputs the analysis result through the data output module 220.

[0055] In some embodiments, the data output module 220 includes at least one of a display, a voice output device, and an indicator light.

[0056] In some embodiments, the connection component 300 is in a ring shape to form a brain-ring type contact acquisition device. As Figure 2 、 Figure 3 shown, the connection component 300 includes a regulator 310, and the regulator 310 is used to adjust the size of the connection component 300. Among them, the regulator 310 can be a telescopic adjustment. The regulator 310 is structures such as a slide rail and a telescopic rod, so that the connection component 300 can be telescoped in the circumference to realize the adjustment of the inner diameter of the connection component 300. The regulator 310 can be a snap-fit adjustment. The regulator 310 includes a snap ring and a snap band, and the inner diameter adjustment of the connection component 300 is realized through the cooperation of the snap ring and the snap band.

[0057] In some embodiments, the connection component 300 can also be an elastic component, and the telescopic property of the elastic material is used to realize the adjustment of the inner diameter of the connection component 300.

[0058] In some embodiments, anti-slip bumps can be provided on the connection component 300, and by increasing the contact area and friction, it is prevented that the connection component 300 slides or falls off when subjected to an external force.

[0059] In some embodiments, in order to enhance the fixation, a reinforcement component 400 is further included. As Figure 2 shown, the reinforcement component 400 is connected to the connection component 300. The reinforcement component 400 is in a ring shape. There is an included angle between the ring surface of the connection component 300 and the ring surface of the reinforcement component 400. The reinforcement component 400 and the connection component 300 are wound around the object to be measured to fix the signal acquisition device 100.

[0060] For example, as Figure 2As shown, the connecting component 300 horizontally surrounds the head of the object to be measured, and the reinforcing component 400 vertically surrounds the head of the object to be measured. Through the cooperation of the connecting component 300 and the reinforcing component 400, the signal acquisition device 100 is fixed to prevent the signal acquisition device 100 from falling during signal acquisition.

[0061] In some embodiments, as Figure 3 , Figure 4 shown, the connecting component 300 includes a buckle 320, and the reinforcing component 400 includes a buckle hole slot 410. The buckle hole slot 410 has a shape and size matching the buckle 320, so that the buckle 320 can be completely inserted and fixed in the buckle hole slot 410. By inserting the buckle 320 into the buckle hole slot 410, a detachable connection between the two components is achieved.

[0062] In some embodiments, as Figure 4 , Figure 5 shown, one end of the reinforcing component 400 is provided with a fixed strap loop 420, and the other end of the reinforcing component 400 is provided with a fixed strap Velcro 430. The fixed strap Velcro 430 includes a hook surface 431 and a loop surface 432. The hook surface 431 and the loop surface 432 will adhere tightly together after applying a certain pressure, providing a strong adhesive force.

[0063] By passing the end of the reinforcing component 400 provided with the fixed strap Velcro 430 through the fixed strap loop, and then making the hook surface 431 of the fixed strap Velcro 430 face the loop surface 432 and applying an appropriate pressure to make them adhere together. Thus, the reinforcing component 400 can be fixed to the head of the object to be measured.

[0064] In some embodiments, the reinforcing component 400 can also be an elastic component, and the inner diameter of the reinforcing component 400 is adjusted by using the elasticity of the elastic material.

[0065] Next, taking the use of the acquisition system for cognitive ability detection to assist in identifying Alzheimer's disease as an example, the acquisition system of this embodiment will be described in detail. It can be understood that the following description is only an exemplary illustration and not a specific limitation of the present application.

[0066] When it is necessary to collect signals from a user, the connecting component 300 and the reinforcing component 400 are worn on the user's head and fixed. Thus, the sensing electrode 111 of the electroencephalogram signal acquisition mechanism 110 is attached to the user's temple, the eye movement signal acquisition mechanism 120 is parallel to the user's eyes and faces the user's eyes. Then, the in-ear headphones of the audio playback mechanism 130 are worn on the user's ears.

[0067] Initialize each mechanism of the signal acquisition device 100. The audio playback mechanism 130 plays a preset target audio, which is transmitted into the user's ear through in-ear headphones, enabling the user to hear the target audio. And the electroencephalogram signal acquisition mechanism 110 acquires the electroencephalogram signal of the user when hearing the target audio. After the audio playback mechanism 130 plays the target audio, the electroencephalogram signal acquisition mechanism 110 acquires the electroencephalogram signal of the user when not hearing the target audio. Meanwhile, the eye movement signal acquisition mechanism 120 acquires the eye movement signal of the user.

[0068] The acquired electroencephalogram signal and eye movement signal are sent to the signal processing device 200 through the sending module 140. The receiving module 230 in the signal processing device 200 receives the electroencephalogram signal and eye movement signal, and transmits them to the processor 210. The processor 210 detects and classifies the cognitive ability of the electroencephalogram signal and eye movement signal to generate an analysis result.

[0069] Taking the data output module 220 as a display as an example, if the analysis result is the first classification, indicating that the user has Alzheimer's disease, then the text information "Alzheimer's disease may exist" is displayed through the display. If the analysis result is the second classification, indicating that the user does not have Alzheimer's disease, then the text information "Alzheimer's disease does not exist" is displayed through the display.

[0070] By adopting the sampling system of the present application, compared with the methods for judging Alzheimer's disease based on biomarkers, structural brain imaging, and metabolic imaging, this system is easy to assemble, takes into account wearing comfort, and enhances the detection efficiency.

[0071] For the similar parts between the embodiments provided in the present application, reference can be made to each other. The specific implementation manners provided above are only several examples under the general concept of the present application, and do not constitute a limitation on the protection scope of the present application. For those skilled in the art, any other implementation manner extended based on the solution of the present application without creative efforts belongs to the protection scope of the present application.

Claims

1. An acquisition system for electroencephalogram signals and electrooculogram signals, characterized in that It includes a signal acquisition device (100), and the signal acquisition device (100) includes an electroencephalogram signal acquisition mechanism (110), an eye movement signal acquisition mechanism (120), an audio playback mechanism (130), and a connection component (300); The connection component (300) is respectively connected to the electroencephalogram signal acquisition mechanism (110), the eye movement signal acquisition mechanism (120), and the audio playback mechanism (130); the electroencephalogram signal acquisition mechanism (110) is fixed on the connection component (300) and is located within the electroencephalogram signal acquisition area of the object to be measured; the eye movement signal acquisition mechanism (120) is fixed on the connection component (300) and is located within the eye movement signal acquisition area of the object to be measured; the audio playback mechanism (130) is fixed on the connection component (300) and is located within the audio reception area of the object to be measured; The audio playback mechanism (130) is used to play a target audio; the electroencephalogram signal acquisition mechanism (110) is used to acquire the electroencephalogram signals when the target audio is played and the electroencephalogram signals when the target audio is not played; the eye movement signal acquisition mechanism (120) is used to acquire eye movement signals.

2. The acquisition system for electroencephalogram signals and eye movement signals according to claim 1, characterized in that It further includes a signal processing device (200), and the signal acquisition device (100) is connected to the signal processing device (200); The signal processing device (200) includes a processor (210) and a data output module (220); the processor (210) is connected to the data output module (220); the processor (210) is used to analyze electroencephalogram signals and eye movement signals; the data output module (220) is used to output the analysis results of electroencephalogram signals and eye movement signals.

3. The acquisition system for electroencephalogram signals and eye movement signals according to claim 2, characterized in that, The signal acquisition device (100) includes a sending module (140); the signal processing device (200) includes a receiving module (230); the sending module (140) is communicatively connected to the receiving module (230); The sending module (140) is used to send electroencephalogram signals and eye movement signals to the receiving module (230); the receiving module (230) is used to receive electroencephalogram signals and eye movement signals.

4. The acquisition system for electroencephalogram signals and eye movement signals according to claim 2, characterized in that, The data output module (220) includes at least one of a display, a voice output device, and an indicator light.

5. The acquisition system for electroencephalogram signals and eye movement signals according to claim 1, wherein, The electroencephalogram signal acquisition mechanism (110) includes a plurality of sensing electrodes (111); the sensing electrodes (111) are used to attach to the electroencephalogram signal acquisition area of the object to be measured to acquire electroencephalogram signals.

6. The acquisition system for electroencephalogram signals and eye movement signals according to claim 1, characterized in that The audio playback mechanism (130) includes an audio processing module and an audio output module; the audio processing module is connected to the audio output module; the audio processing module is used to convert the target audio into a playable audio signal; the audio output module is used to output the audio signal; the audio output module is at least one of a speaker, a wired earphone, a wireless earphone, and a speaker box.

7. The acquisition system for electroencephalogram signals and eye movement signals according to claim 1, characterized in that, The connection component (300) is annular; the connection component (300) is an elastic component.

8. The acquisition system for electroencephalogram signals and eye movement signals according to claim 7, wherein , further comprising a reinforcement component (400); the reinforcement component (400) is connected to the connection component (300); the reinforcement component (400) is annular; there is an included angle between the annular surface of the connection component (300) and the annular surface of the reinforcement component (400); the reinforcement component (400) and the connection component (300) surround the object to be measured to fix the signal acquisition device (100).

9. The acquisition system for electroencephalogram signals and eye movement signals according to claim 8, wherein , the connection component (300) includes a buckle (320); the reinforcement component (400) includes a buckle hole card slot (410); the buckle (320) is detachably connected to the buckle hole card slot (410).

10. The acquisition system for electroencephalogram signals and eye movement signals according to claim 8, characterized in that, The reinforcement component (400) is an elastic component; one end of the reinforcement component (400) is provided with a fixed belt loop (420), and the other end of the reinforcement component (400) is provided with a fixed belt magic tape (430); the fixed belt magic tape (430) includes a hook surface (431) and a fluff surface (432), the fixed belt magic tape (430) passes through the fixed belt loop (420) and the hook surface (431) is adhered to the fluff surface (432).

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