In-ear brain-machine interface system, in-ear device

Abstract

The application provides an ear-inserted brain-computer interface system and an ear-inserted device, comprising a cloud processor and an ear-inserted device, wherein the cloud processor and the ear-inserted device are in communication connection; the ear-inserted device comprises an electroencephalogram acquisition module and an intervention module, the electroencephalogram acquisition module is used for acquiring ear canal electroencephalogram signals of a user during sleep, and the intervention module is used for intervening in the user in response to an instruction of the cloud processor, wherein the user wears the ear-inserted device; the cloud processor is used for receiving the ear canal electroencephalogram signals from the ear-inserted device, determining a sleep stage of the user, and generating a first instruction corresponding to the sleep stage. The ear canal electroencephalogram signals during sleep can be acquired, the sleep stage of the user can be accurately identified, and an instruction corresponding to the sleep stage can be generated in real time to intervene in the user, so that the sleep quality of the user is greatly improved.

Description

Technical Field

[0001] This application relates to the field of brain-computer interface technology, and in particular to an in-ear brain-computer interface system and in-ear device. Background Technology

[0002] According to statistics, more than 300 million people in China suffer from varying degrees of sleep disorders, with an insomnia incidence rate as high as 38.2% among adults. Many insomnia sufferers seek non-drug therapies to solve their problems; therefore, accurate sleep monitoring has become a prerequisite for resolving insomnia.

[0003] In serious medical settings, polysomnography (PSG) is typically used to monitor sleep patterns. This device requires the patient to wear multiple sensors, including electroencephalogram (EEG) sensors, electrocardiogram (ECG) sensors, nasal airflow sensors, chest and abdominal movement sensors, and electromyography (EMG) sensors. These devices are bulky and complex to use, and their comfort issues negatively impact patient sleep, making them unsuitable for long-term use.

[0004] In everyday applications, current sleep monitoring technology mainly uses photoplethysmographic (PPG) methods, which are based on LED light sources and detectors. They measure the attenuation of light reflected back from the skin surface by blood vessels and other tissues, thereby recording the pulsation state of blood vessels and measuring pulse waves. There are also sleep monitoring methods that use millimeter waves.

[0005] Most existing sleep monitoring technologies rely on non-EEG signals, which have low accuracy. They generally only record sleep states, and users can see their sleep information on wearable devices such as wristbands or watches after waking up, which cannot improve the user's sleep quality. Utility Model Content

[0006] In view of this, this application provides an in-ear brain-computer interface system and an in-ear device. The in-ear structure ensures convenient and comfortable wearing while collecting brain signals, making the detection of sleep stages more accurate, so as to intervene in a timely manner and greatly improve the user's sleep quality.

[0007] In a first aspect, embodiments of this application provide an in-ear brain-computer interface system, comprising:

[0008] A cloud processor and an in-ear device, wherein the cloud processor and the in-ear device are communicatively connected;

[0009] The in-ear device includes an EEG acquisition module and an intervention module. The EEG acquisition module is used to acquire the user's ear canal EEG signals during sleep. The intervention module is used to intervene in the user in response to the instructions of the cloud processor. The user wears the in-ear device.

[0010] The cloud processor is used to receive the electroencephalogram (EEG) signals from the ear canal of the in-ear device to determine the user's sleep stage and generate a first instruction corresponding to the sleep stage.

[0011] In one possible embodiment, the intervention module includes an electrical pulse module, which is configured to generate a first electrical pulse in response to a first instruction corresponding to the light sleep stage when the sleep stage is a light sleep stage.

[0012] In one possible embodiment, the intervention module includes an audio module, which is configured to play sleep-aid audio in response to a first instruction corresponding to the light sleep stage when the sleep stage is a light sleep stage; or, the audio module is configured to play wake-up audio in response to a first instruction corresponding to the near-wake stage when the sleep stage is a near-wake stage.

[0013] In one possible embodiment, the in-ear device further includes a sound sensor for collecting sound data of the user during sleep, and a cloud processor for receiving the sound data from the in-ear device and generating a second instruction when snoring is detected in the sound data.

[0014] In one possible embodiment, the intervention module includes an electrical pulse module for generating a second electrical pulse in response to the second instruction.

[0015] In one possible embodiment, the intervention module includes a vibration module for vibrating in response to the second command.

[0016] In one possible embodiment, the in-ear device further includes a vital signs sensor for collecting vital signs data of the user during sleep.

[0017] Secondly, this application provides an in-ear device, which includes a main body and a charging case. The main body includes a shell, an EEG acquisition module, an intervention module, and a main circuit board. The EEG acquisition module includes electrodes disposed on the shell. The EEG acquisition module and the intervention module are connected to the main circuit board via built-in wires. The main circuit board is disposed inside a cavity enclosed by the shell. The shell is provided with charging contacts. The charging case includes a charging interface, a battery, and a charging control board. The charging control board is connected to the battery. The charging interface is used to contact the charging contacts to charge the main body.

[0018] As can be seen, the aforementioned in-ear brain-computer interface system and in-ear device, including a cloud processor and the in-ear device, are communicatively connected. The in-ear device includes an EEG acquisition module and an intervention module. The EEG acquisition module is used to acquire the user's ear canal EEG signals during sleep, and the intervention module is used to intervene in the user in response to instructions from the cloud processor. The user wears the in-ear device. The cloud processor receives the ear canal EEG signals from the in-ear device to determine the user's sleep stage and generates a first instruction corresponding to the sleep stage. This system can acquire ear canal EEG signals during sleep, accurately identify the user's sleep stage, and generate instructions corresponding to the sleep stage in real time to intervene in the user, greatly improving the user's sleep quality. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of this utility model, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the structure of an in-ear brain-computer interface system provided in an embodiment of this application;

[0021] Figure 2 A schematic diagram of the main components of an in-ear device provided in an embodiment of this application;

[0022] Figure 3 This is a schematic diagram of the main structure of an in-ear device provided in an embodiment of this application;

[0023] Figure 4 This is a schematic diagram of the main structure of a charging case for an in-ear device provided in an embodiment of this application. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0025] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0026] It should be understood that the term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document indicates that the preceding and following related objects are in an "or" relationship. In the embodiments of this application, "multiple" refers to two or more.

[0027] In the embodiments of this application, "at least one item" or its similar expression refers to any combination of these items, including any combination of a single item or a plurality of items. "One or more" means one or more, while "multiple" means two or more. For example, "at least one item" of a, b, or c can represent the following seven cases: a, b, c; a and b; a and c; b and c; a, b, and c. Each of a, b, and c can be an element or a set containing one or more elements.

[0028] In this application, the term "connection" refers to various connection methods, such as direct connection or indirect connection, to achieve communication between devices. This application does not impose any limitations on this.

[0029] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0030] First, combine Figure 1 The in-ear brain-computer interface system in the embodiments of this application will be described. Figure 1 This is a schematic diagram of an in-ear brain-computer interface system provided in an embodiment of this application, including a cloud processor 110 and an in-ear device 120, wherein the cloud processor 110 and the in-ear device 120 are communicatively connected.

[0031] The in-ear device 120 includes an EEG acquisition module 121 and an intervention module 122. The EEG acquisition module 121 is used to acquire the user's ear canal EEG signals during sleep. The intervention module 122 is used to intervene in the user in response to the instructions of the cloud processor. The user wears the in-ear device 120.

[0032] The cloud processor 110 is used to receive the electroencephalogram (EEG) signals from the ear canal from the in-ear device 120 to determine the user's sleep stage and generate a first instruction corresponding to the sleep stage.

[0033] Among them, the in-ear device 120 can take various forms, such as wireless headphones, ear-hook headphones, bone conduction headphones, wired headphones, earbuds, etc., and can be customized according to the shape of the user's ear canal to ensure the user's wearing comfort while collecting more accurate EEG signals from the ear canal. No specific limitations are made here.

[0034] The EEG acquisition module 121 may include multiple electrodes, which can be divided into active EEG acquisition electrodes, reference electrodes, and ground electrodes. The active EEG acquisition electrodes need to be in contact with the user's ear canal skin, while the reference and ground electrodes also need to be in contact with the user's skin. Because bioelectrical signals are inherently weak and easily interfered with, the reference electrode can be placed in a relatively zero-potential or stable location on the body, such as the earlobe or mastoid process. In this embodiment, the reference electrode can be placed in the position corresponding to the cymba conchae in the middle ear.

[0035] Among them, the cloud processor 110 can have a built-in sleep staging algorithm. The sleep staging algorithm can be a single-modal model that only uses single-modal data of ear canal EEG signals, or it can be a multi-modal model that integrates data from other sensors. The sleep staging result is obtained through AI algorithm.

[0036] Among them, the cloud processor 110 can be equipped with a built-in snoring detection algorithm to detect snoring events based on audio data, vital sign data and other data.

[0037] The cloud processor 110 can detect the user's sleep stages in real time and generate different instructions for different sleep stages. These instructions can be sent to the intervention module 122, which can then intervene in the user's sleep, greatly improving the user's sleep quality.

[0038] In one possible embodiment, the intervention module 122 may include an electrical pulse module, which is configured to generate a first electrical pulse in response to a first instruction corresponding to the light sleep stage when the sleep stage is a light sleep stage.

[0039] The duration of the first electrical pulse can be preset, such as not exceeding 30 minutes, and automatically stopping after 30 minutes. Alternatively, the cloud processor 110 can send a stop command to the electrical pulse module to stop the first electrical pulse after recognizing that the user has entered a deep sleep stage. The frequency and intensity of the first electrical pulse can adopt the frequency and intensity of transcutaneous vagus nerve stimulation (tVNS) to promote user relaxation, assist in falling asleep, and improve sleep quality.

[0040] In one possible embodiment, the intervention module 122 may include an audio module, which is configured to play sleep-aid audio in response to a first instruction corresponding to the light sleep stage when the sleep stage is a light sleep stage; or, the audio module is configured to play wake-up audio in response to a first instruction corresponding to the near-wake stage when the sleep stage is a near-wake stage.

[0041] The cloud processor 110, upon recognizing that the user has entered a deep sleep stage, can send a stop command to the audio module to halt the sleep-aid audio, ensuring no audio interference during deep sleep and maximizing sleep efficiency. The wake-up audio can be gentle to avoid startling the user and gradually rouse them. The sleep-aid audio can be user-preferred audio, etc., without specific limitations.

[0042] In one possible embodiment, the in-ear device 120 may further include a sound sensor for collecting sound data of the user during sleep, and the cloud processor 110 for receiving the sound data from the in-ear device 120 and generating a second instruction when snoring is detected in the sound data.

[0043] The sound sensor can include a directional microphone array to reduce environmental noise interference and capture as much of the user's sound as possible. The cloud processor 110 can extract sound features and match them with snoring features. When the matching value is greater than a preset value, it can be determined that the user is snoring, and a second command can be generated. Specifically, the cloud processor 110 can determine the severity of the snoring based on the volume and duration of the sound and generate a second command corresponding to the severity of the snoring. In this way, it can detect whether the user is snoring in real time and intervene in a timely manner to improve the user's sleep quality.

[0044] In one possible embodiment, the intervention module 122 may include an electrical pulse module for generating a second electrical pulse in response to the second instruction.

[0045] The frequency and intensity of the second electrical pulse are positively correlated with the severity of snoring; that is, the higher the severity of snoring, the higher the frequency and intensity of the second electrical pulse. It should be noted that the highest frequency and intensity of the second electrical pulse will not cause harm to the user. Percutaneous vagus nerve electrical stimulation can be performed in the concha to intervene in snoring. Once the cloud processor 110 detects that the user's snoring has stopped, it can send a stop command to the electrical pulse module, stopping the second electrical pulse without disturbing the user's sleep.

[0046] In one possible embodiment, the intervention module includes a vibration module for vibrating in response to the second command.

[0047] The frequency and intensity of the vibration are positively correlated with the severity of snoring; that is, the higher the severity of snoring, the higher the frequency and intensity of the vibration. It should be noted that the highest frequency and intensity of the vibration will not cause harm to the user. Vibration can be used to intervene in snoring. Once the cloud processor 110 detects that the user's snoring has stopped, it can send a stop command to the vibration module to stop the vibration, thus not disturbing the user's sleep.

[0048] In one possible embodiment, the in-ear device further includes a vital signs sensor for collecting vital signs data of the user during sleep.

[0049] Vital signs sensors can include photoplethysmography (PPG) sensors, typically composed of one or more light-emitting diodes (LEDs) and a photodetector. When light emitted by an LED shines on the skin surface, some of the light is absorbed by tissues such as skin, bone, and muscle, while the rest is absorbed by hemoglobin in the blood. Because the blood volume in arteries changes periodically with the heartbeat, when the heart contracts, the arteries dilate, increasing blood flow and thus the amount of light absorbed; conversely, when the heart relaxes, the arteries constrict, decreasing blood flow and thus the amount of light absorbed. The photodetector detects this change in light intensity caused by changes in blood volume, converts it into an electrical signal, and after amplification and filtering, obtains a pulse wave signal reflecting the heartbeat and blood circulation. For example, a reflective PPG sensor can be used, with the LED and photodetector located on the same side of the tissue being measured. Vital signs sensors can also include electrodermal activity (EDA) sensors, which will not be elaborated upon here. In one possible embodiment, after the user wears the in-ear device, the vital signs sensor can be located at the user's earlobe, or at other suitable locations for collecting the user's vital signs data, which will not be elaborated here.

[0050] The cloud processor 110 can also receive vital sign data and combine it with ear canal EEG signals to determine the user's sleep stage, making the real-time sleep stage determination more accurate. The cloud processor 110 can also combine vital sign data and sound data to identify whether the user is snoring, improving the accuracy of real-time snoring detection.

[0051] As can be seen, the aforementioned in-ear brain-computer interface system includes a cloud processor and an in-ear device, which are communicatively connected. The in-ear device includes an EEG acquisition module and an intervention module. The EEG acquisition module is used to acquire the user's ear canal EEG signals during sleep, and the intervention module is used to intervene in the user in response to instructions from the cloud processor. The user wears the in-ear device. The cloud processor receives the ear canal EEG signals from the in-ear device to determine the user's sleep stage and generates a first instruction corresponding to the sleep stage. This system can acquire ear canal EEG signals during sleep, accurately identify the user's sleep stage, and generate instructions corresponding to the sleep stage in real time to intervene in the user, greatly improving the user's sleep quality.

[0052] The following describes the in-ear device, which includes a main body and a charging case. The main body includes a shell, an EEG acquisition module, an intervention module, and a main circuit board. The EEG acquisition module includes electrodes disposed on the shell. The EEG acquisition module and the intervention module are connected to the main circuit board via internal wires. The main circuit board is disposed inside the cavity enclosed by the shell. The shell is provided with charging contacts. The charging case includes a charging interface, a battery, and a charging control board. The charging control board is connected to the battery. The charging interface is used to contact the charging contacts to charge the main body.

[0053] Specifically, for ease of understanding, the following will use... Figures 2-4 Taking in-ear devices as an example, it is necessary to explain that... Figure 2 This is just one possible form of in-ear device and does not imply any limitation on in-ear devices. Figure 2 This is a schematic diagram of the main components of an in-ear device provided in an embodiment of this application, including a main body 1 and a charging case 2.

[0054] Please see Figure 3 , Figure 3 The schematic diagram of the main structure of an in-ear device provided in this application embodiment includes an earphone shell 11, a speaker unit 12, an EEG acquisition active electrode 13, a reference electrode 14, a ground electrode 15, a main circuit board 16, an earphone battery 17, and an earphone charging contact 18.

[0055] The active EEG acquisition electrode 13 is located in the ear canal insertion portion of the earphone. This electrode needs to contact the ear canal to acquire EEG signals. The reference electrode 14 and ground electrode 15 are located outside the ear canal insertion portion. The reference electrode 14 is located on the earphone shell 11, in contact with the cymba conchae, and the ground electrode 15 is located on the earphone shell 11, in contact with the lower side of the conchae. The active EEG acquisition electrode 13 is connected to the EEG acquisition module in the main circuit board 16 via internal wires. The main circuit board 16 is located inside the cavity enclosed by the earphone shell 11 and is mainly used to control EEG signal acquisition and data transmission. The main circuit board 16 is connected to the speaker unit 12 and the earphone battery 17. The earphone shell 11 has earphone charging contacts 18.

[0056] Please see Figure 4 , Figure 4 This is a schematic diagram of the main structure of a charging case for an in-ear device provided in an embodiment of this application, including a charging interface 21, a battery 22, a charging control board 23, an interface 24, and a power indicator light 25.

[0057] The charging port 21 is used to contact the earphone charging contacts 18 for wireless charging of the earphones. The earphone charging case contains a battery 22 and a charging control board 23. The charging control board 23 is connected to the battery 22 and has an interface 24 for connecting to an external power source to charge the battery 22. The charging case has a power indicator light 25 to indicate whether the battery is fully charged; red indicates not fully charged, and green indicates fully charged.

[0058] It should be noted that the intervention module is in Figures 2-4 The intervention module is not shown in the diagram and can be flexibly configured as needed. Further details are omitted here.

[0059] As can be seen, the aforementioned in-ear brain-computer interface system and in-ear device, including a cloud processor and the in-ear device, are communicatively connected. The in-ear device includes an EEG acquisition module and an intervention module. The EEG acquisition module is used to acquire the user's ear canal EEG signals during sleep, and the intervention module is used to intervene in the user in response to instructions from the cloud processor. The user wears the in-ear device. The cloud processor receives the ear canal EEG signals from the in-ear device to determine the user's sleep stage and generates a first instruction corresponding to the sleep stage. This system can acquire ear canal EEG signals during sleep, accurately identify the user's sleep stage, and generate instructions corresponding to the sleep stage in real time to intervene in the user, greatly improving the user's sleep quality.

[0060] It should be noted that, for the sake of simplicity, the above embodiments are all described as a series of actions. Those skilled in the art should understand that this application is not limited to the described order of actions, as some steps in the embodiments of this application can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions, steps, modules, or units involved are not necessarily essential to the embodiments of this application.

[0061] In the above embodiments, the descriptions of each embodiment in this application have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0062] The steps of the methods or algorithms described in the embodiments of this application can be implemented in hardware or by a processor executing software instructions. The software instructions can consist of corresponding software modules, which can be stored in RAM, flash memory, ROM, EPROM, electrically erasable programmable read-only memory (EEPROM), registers, hard disk, portable hard disk, read-only optical disk (CD-ROM), or any other form of storage medium well known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. Furthermore, the ASIC can reside in a terminal device or management device. Alternatively, the processor and storage medium can exist as discrete components in the terminal device or management device.

[0063] Those skilled in the art will recognize that, in one or more of the examples above, the functions described in the embodiments of this application can be implemented, in whole or in part, by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When these computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0064] The modules / units included in the various devices and products described in the above embodiments can be software modules / units, hardware modules / units, or a combination of both. For example, for devices and products applied to or integrated into a chip, all modules / units can be implemented using hardware methods such as circuits, or at least some modules / units can be implemented using software programs that run on a processor integrated within the chip, while the remaining (if any) modules / units can be implemented using hardware methods such as circuits. For devices and products applied to or integrated into a chip module, all modules / units can be implemented using hardware methods such as circuits. Different modules / units can be located in the same component (e.g., chip, circuit module, etc.) or different components of the chip module, or at least some modules / units can be implemented using hardware methods such as circuits. The implementation is achieved through a software program that runs on a processor integrated within the chip module. The remaining modules / units (if any) can be implemented using hardware methods such as circuits. For various devices and products applied to or integrated into terminal equipment, each of their modules / units can be implemented using hardware methods such as circuits. Different modules / units can be located in the same component (e.g., chip, circuit module, etc.) or different components within the terminal equipment. Alternatively, at least some modules / units can be implemented using a software program that runs on a processor integrated within the terminal equipment, while the remaining modules / units (if any) can be implemented using hardware methods such as circuits.

[0065] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the embodiments of this application. It should be understood that the above descriptions are merely specific embodiments of the embodiments of this application and are not intended to limit the protection scope of the embodiments of this application. Any modifications, equivalent substitutions, improvements, etc., made on the basis of the technical solutions of the embodiments of this application should be included within the protection scope of the embodiments of this application.

Claims

1. An in-ear brain-computer interface system, characterized in that, include: A cloud processor and an in-ear device, wherein the cloud processor and the in-ear device are communicatively connected; The in-ear device includes an EEG acquisition module and an intervention module. The EEG acquisition module is used to acquire the user's ear canal EEG signals during sleep. The intervention module is used to intervene in the user in response to the instructions of the cloud processor. The user wears the in-ear device. The cloud processor is used to receive the electroencephalogram (EEG) signals from the ear canal of the in-ear device to determine the user's sleep stage and generate a first instruction corresponding to the sleep stage.

2. The system according to claim 1, characterized in that, The intervention module includes an electrical pulse module, which is used to generate a first electrical pulse in response to a first instruction corresponding to the light sleep stage when the sleep stage is a light sleep stage.

3. The system according to claim 1, characterized in that, The intervention module includes an audio module, which is used to play sleep-aid audio in response to a first instruction corresponding to the light sleep stage when the sleep stage is a light sleep stage; or, the audio module is used to play wake-up audio in response to a first instruction corresponding to the near-wake stage when the sleep stage is a near-wake stage.

4. The system according to claim 1, characterized in that, The in-ear device also includes a sound sensor for collecting sound data of the user during sleep. The cloud processor receives the sound data from the in-ear device and generates a second instruction when it detects snoring in the sound data.

5. The system according to claim 4, characterized in that, The intervention module includes an electrical pulse module, which generates a second electrical pulse in response to the second instruction.

6. The system according to claim 4, characterized in that, The intervention module includes a vibration module, which is used to vibrate in response to the second command.

7. The system according to claim 1 or 4, characterized in that, The in-ear device also includes a vital signs sensor, which is used to collect the user's vital signs data during sleep.

8. An in-ear device, characterized in that, The in-ear device includes a main body and a charging case. The main body includes a shell, an EEG acquisition module, an intervention module, and a main circuit board. The EEG acquisition module includes electrodes disposed on the shell. The EEG acquisition module and the intervention module are connected to the main circuit board via internal wires. The main circuit board is disposed inside the cavity enclosed by the shell. The shell is provided with charging contacts. The charging case includes a charging interface, a battery, and a charging control board. The charging control board is connected to the battery. The charging interface is used to contact the charging contacts to charge the main body.

9. The device according to claim 8, characterized in that, The electrode includes an active EEG acquisition electrode, a reference electrode, and a ground electrode. The active EEG acquisition electrode is in contact with the ear canal to acquire EEG signals from the ear canal. The reference electrode and the ground electrode are located in the non-ear canal insertion portion. The reference electrode is located on the outer shell in contact with the cymba conchae, and the ground electrode is located on the outer shell in contact with the lower side of the conchae cavity.

10. The device according to claim 8, characterized in that, The charging control board has an interface for connecting an external power source to charge the battery compartment. The charging compartment has a power indicator light to indicate whether the battery is fully charged.

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