Sleep-aiding and relaxing wireless music earphone and system based on brain wave signals

Abstract

The invention provides a sleep-aiding relaxation wireless music earphone and system based on brain wave signals, and the earphone comprises a wearable support which is of an ear clip type structure around an earlobe, the wearable support is internally provided with a power supply module and a communication module, and the outer wall of the in-ear end of the wearable support is provided with an in-ear collection electrode in an inserted manner. A reference electrode and a right leg driving electrode are arranged on the inner wall of the in-ear end of the wearable support, and an ear periphery collecting electrode is arranged on the outer wall of the exposed end of the wearable support. The earphone system comprises a brain wave biological acquisition module, a noise reduction processing module, a music playing module, a feature extraction module, a music recommendation module, a sleep evaluation module and a wearable support. The psychological state of the user can be known in real time by monitoring the brain wave signal of the user and the earphone, so that the played audio content can be adjusted according to the needs of the user, the effects of relaxing and relieving pressure can be achieved, and the method can also be used for treating anxiety, insomnia and other problems in the medical field or improving the working and learning efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless audio equipment based on brain wave signals, and in particular to a wireless relaxation-aiding music system based on brain wave signals. Background Art

[0002] In today's fast-paced life, health and relaxation are becoming more and more important. With the continuous development of technology, people are becoming more and more concerned about how to better manage their mental state and emotions. EEG signal processing technology is a method of understanding and analyzing the user's mental state by monitoring the electrical activity of the brain. This technology has been widely studied and applied, providing important tools in fields such as medicine, psychology, and biofeedback. At the same time, wireless audio devices are also constantly improving and becoming more popular. The portability and convenience of these devices allow users to enjoy a variety of audio content such as music, podcasts, audiobooks, etc. anytime, anywhere.

[0003] However, traditional audio devices often only provide sound playback functions, without considering how to combine modern technology to provide more health and relaxation benefits, and are unable to monitor the user's mental state in real time. Therefore, how to integrate brainwave signal processing technology into headphones so that they can obtain information from the user's brainwave activities and adjust the audio output accordingly to provide a personalized and effective relaxation experience is a problem that needs to be solved urgently. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a wireless relaxation music system based on brain wave signals, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] The sleep-aiding and relaxing wireless music headset based on brain wave signals includes a wearable bracket. The wearable bracket is an ear clip structure that wraps around the earlobe. The wearable bracket has a built-in power supply module and a communication module. The outer wall of the ear end of the wearable bracket is inserted with an in-ear collection electrode. The inner wall of the ear end of the wearable bracket is provided with a reference electrode and a right leg driving electrode, and the outer wall of the exposed end of the wearable bracket is provided with an ear periphery collection electrode.

[0007] Furthermore, the wearable bracket includes an in-ear rod body, an arc rod and an out-ear rod body, one end of the arc rod is connected to the in-ear rod body, and the other end is connected to the out-ear rod body, a music playing module is embedded in the end of the in-ear rod body, a connecting seat is provided on the outer wall of the end of the in-ear rod body, and a power supply module and a communication module are built in the arc rod body; the in-ear collection electrode is electrically assembled on the connecting seat, and the ear periphery collection electrode is provided at the end of the out-ear rod body.

[0008] Furthermore, the in-ear collection electrode includes a conductive silicone plug and a conductive connector, the inner end of the conductive connector is electrically inserted into the connecting seat, and the outer end of the conductive connector is covered with a conductive silicone plug.

[0009] Furthermore, the raw materials for preparing the conductive silicone plug include carbon black, metal powder, silicone matrix and hydrophilic modifier.

[0010] Wireless relaxation music system based on brainwave signals, including:

[0011] Brain wave bio-collection module, used to collect user's brain wave signal data;

[0012] A noise reduction processing module is used to remove interference components of EEG signal data and output a low-noise EEG signal data set;

[0013] Music playback module, used to output audio signals;

[0014] A feature extraction module, which is wirelessly connected to the noise reduction processing module and is used to extract features representing the user's sleep state from the EEG signal data set;

[0015] Music recommendation module, which recommends suitable sleep-promoting songs based on the characteristics of sleep status;

[0016] Sleep assessment module, which records the characteristics of sleep state and draws the sleep stage curve;

[0017] The wearable bracket is worn on the user's ear. The brain wave biological acquisition module, reference signal acquisition module, noise reduction processing module and music playback module are all placed on the wearable bracket. The wearable bracket has a built-in power supply module and communication module.

[0018] Furthermore, the wearable bracket is an ear clip structure that wraps around the earlobe, and the wearable bracket includes an in-ear rod body, an arc rod and an out-ear rod body, one end of the arc rod is connected to the in-ear rod body, and the other end is connected to the out-ear rod body, a music playing module is embedded in the end of the in-ear rod body, a connecting seat is provided on the outer wall of the end of the in-ear rod body, and a power supply module and a communication module are built into the arc rod body.

[0019] Furthermore, the noise reduction processing module includes a reference electrode and a right leg driving electrode, both of which are arranged on the inner wall of the end of the rod body in the ear, and the reference electrode is arranged at an interval at the top of the right leg driving electrode. When the user wears the wearable bracket, the ends of the reference electrode and the right leg driving electrode are in contact with the user's auricle.

[0020] Furthermore, the EEG bio-collection module includes an in-ear collection electrode and a peri-ear collection electrode, the in-ear collection electrode is electrically mounted on a connecting seat, and the peri-ear collection electrode is disposed at the end of an outer ear rod; when the user wears the wearable bracket, the in-ear collection electrode is embedded in the user's cochlea to collect in-ear EEG signals, and the peri-ear collection electrode is attached to the skin behind the user's ear to collect outer ear EEG signals.

[0021] Furthermore, the in-ear collection electrode includes a conductive silicone plug and a conductive connector, the inner end of the conductive connector is electrically inserted into the connecting seat, and the outer end of the conductive connector is covered with a conductive silicone plug.

[0022] Furthermore, the working steps of the wireless relaxation music system are as follows:

[0023] S1, start the system, and the EEG biological collection module collects EEG data for a time frame;

[0024] S2, the noise reduction processing module removes interference information of the EEG signal data and outputs a low-noise EEG signal data set to the feature extraction module;

[0025] S3, feature extraction module extracts sleep state representation features in the EEG signal dataset;

[0026] S4, the music recommendation module recommends suitable sleep-promoting songs according to the sleep state representation characteristics, and the music playing module plays the sleep-promoting songs;

[0027] S5, the brain wave biological collection module collects brain wave data of a time frame after S4;

[0028] S6, the sleep assessment module determines whether the brain wave data collected in S5 reaches the sleep target state;

[0029] If yes, then go to S7;

[0030] If not, return to S2;

[0031] S7, the brain wave biological collection module collects the brain wave data of a time frame after S6, and the sleep assessment module records the sleep state representation characteristics and brain wave data;

[0032] S8. Determine whether the system stops running:

[0033] If yes, the sleep assessment module draws a sleep curve;

[0034] If no, return to S7.

[0035] The present invention provides wireless relaxation music and system based on brain wave signals. Compared with the prior art, it has the following beneficial effects:

[0036] 1. The wearable bracket adopts an ear clip design around the earlobe. The entire wearable bracket can be hung above the ear, stably laid out by its own weight, and clamped and positioned by the earlobe. It can make the earphones easier to wear, and the earphones have better clamping stability in the ears and are not easy to fall off. At the same time, it can also ensure that each electrode is in full contact with the skin;

[0037] 2. Choosing the concha as the reference electrode and the right leg driving electrode is reasonable and effective, which can improve the effect and quality of biological signal acquisition. Through such structural design and arrangement of signal acquisition terminals, it can provide users with efficient and comfortable EEG signal acquisition experience, provide a reliable data basis for subsequent signal processing and analysis, and provide strong support for users' health monitoring and physiological regulation.

[0038] 3. The signal acquisition end of the headset adopts a dual-channel design. This dual-channel structure can obtain the user's EEG signals more comprehensively and accurately, so as to better understand the user's EEG activity status: In addition, through the weight of the headset itself, the electrodes behind the ear can better fit the skin behind the ear, thereby achieving better signal acquisition effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 A schematic diagram of a wireless relaxation music system based on brain wave signals of the present invention is shown;

[0041] Figure 2 A schematic diagram of a wireless music headset for helping with sleep and relaxation based on brain wave signals of the present invention is shown;

[0042] Figure 3 A schematic diagram of a sleep stage curve of the present invention is shown. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Embodiment 1

[0045] In order to solve the technical problems in the background technology, the following wireless music headphones for sleep aid and relaxation based on brain wave signals are provided;

[0046] Combination Figure 2 As shown, the wireless music headset for sleep aid and relaxation based on brain wave signals provided by the present invention includes: a wearable bracket 1, the wearable bracket is an ear clip structure around the earlobe, the wearable bracket includes an in-ear rod body 11, an arc rod 12 and an outside-ear rod body 13, one end of the arc rod is connected to the in-ear rod body, and the other end is connected to the outside-ear rod body, a music playing module is embedded in the end of the in-ear rod body, a connecting seat 4 is provided on the outer wall of the end of the in-ear rod body, and a power supply module and a communication module are built into the arc rod body.

[0047] In the above scheme, the wearable bracket adopts an ear clip design that wraps around the earlobe. The entire wearable bracket can be suspended above the ear, stably arranged by its own weight, and clamped in place by the auricle. This makes the earphones easier to wear, and the earphones have better clamping stability on the ears and are not easy to fall off. At the same time, it can also ensure that each electrode is in full contact with the skin.

[0048] In this embodiment, the reference electrode 2 and the right leg driving electrode 3 are both arranged on the inner wall of the end of the rod body in the ear, and the reference electrode is arranged at the top of the right leg driving electrode. When the user wears the wearable bracket, the ends of the reference electrode and the right leg driving electrode are both in contact with the user's auricle.

[0049] In the above scheme, a reference electrode and a right leg driving electrode are set at the concha, which has the following advantages:

[0050] 1. The concha position can provide a stable potential reference value, which helps to reduce signal drift and fluctuation and improve signal stability and reliability;

[0051] 2. The concha is relatively flat and easy to locate, which ensures good contact between the electrode and the skin when installing the electrode, reduces the contact impedance, and reduces interference and noise during signal acquisition.

[0052] 3. The skin at the concha is usually not covered by hair, which can avoid the influence of hair on signal acquisition and improve the clarity and accuracy of the signal.

[0053] 4. The selection of the concha position is not only conducive to the stability and accuracy of the signal, but also easy to wear and fix the earphones and position the electrodes, ensuring the consistency and reliability of signal acquisition.

[0054] In summary, choosing the concha as the reference electrode and the right leg driving electrode is reasonable and effective, which can improve the effect and quality of biological signal acquisition. Through such structural design and arrangement of signal acquisition terminals, it can provide users with efficient and comfortable EEG signal acquisition experience, provide a reliable data basis for subsequent signal processing and analysis, and provide strong support for users' health monitoring and physiological regulation.

[0055] In this embodiment, the in-ear collection electrode 5 is electrically assembled on the connecting seat, and the peri-ear collection electrode 6 is arranged at the end of the outer ear rod; when the user wears the wearable bracket, the in-ear collection electrode is embedded in the user's cochlea to collect the brain wave signals in the ear, and the peri-ear collection electrode is attached to the skin behind the user's ear to collect the brain wave signals outside the ear.

[0056] In the above solution, the signal acquisition end of the headset adopts a dual-channel design. This dual-channel structure can obtain the user's EEG signals more comprehensively and accurately, thereby better understanding the user's EEG activity status: in addition, through the weight of the headset itself, the electrodes behind the ear can better fit the skin behind the ear, thereby achieving better signal acquisition effects.

[0057] 1. The setting of the collection electrode in the ear has the following effects:

[0058] 1.1. The in-ear collection electrode can be inserted into the cochlea and directly contact the skin. In this way, the distance between the in-ear collection electrode and the brain is closer, thereby improving the sensitivity and stability of the signal;

[0059] 1.2. In-ear electrodes reduce interference from the external environment, such as power noise and electromagnetic radiation, because they are farther away from the outside world;

[0060] 1.3. After the electrode is placed in the ear canal, it is relatively stable and not easy to move or fall off, which ensures the continuity and stability of signal acquisition;

[0061] 1.4. This placement method is more concealed in appearance, will not attract the attention of others, and protect the privacy of users.

[0062] 2. The setting of the peri-auricular collection electrode has the following effects:

[0063] 2.1. The peri-auricular collection electrodes collect data behind the ear. The peri-auricular position behind the ear is relatively stable relative to the brain area and is not easily disturbed by head movement. Therefore, the peri-auricular collection electrodes can obtain clearer and more stable signals.

[0064] 2.2. The ear area is close to the skull, and the signal transmission path is relatively short, which helps to reduce signal attenuation during transmission and improve signal quality and sensitivity. In addition, when the electrode is placed around the ear, it can effectively avoid interference from hair or other objects, reducing noise and interference that may occur during signal acquisition;

[0065] 2.3. The position behind the ear close to the scalp is relatively hidden and will not attract the attention of others, thus protecting the user's privacy.

[0066] In this embodiment, the in-ear collection electrode 5 includes a conductive silicone plug 51 and a conductive connector 52. The inner end of the conductive connector is electrically inserted into the connection seat, and the outer end of the conductive connector is covered with a conductive silicone plug. The raw materials for preparing the conductive silicone plug include carbon black, metal powder, silicone matrix and hydrophilic modifier.

[0067] In the above scheme, the conductive filler (such as carbon black, metal powder, etc.) can be mixed with the silicone matrix. The mixed material is formed through molding, curing and processing to form a conductive silicone plug. The setting of the conductive silicone plug has the following effects:

[0068] 1. Conductive silicone material has a series of excellent properties, including lower skin contact impedance, lower half-cell potential, better anti-interference and smaller polarization voltage, which reduces the impact of external interference on signal quality and improves the accuracy and stability of signal acquisition;

[0069] 2. Another advantage of conductive silicone material is its good processability, which can be easily molded and processed into various shapes of earplugs as needed.

[0070] 3. The conductive silicone material has good wear resistance and can withstand long-term use without damage.

[0071] 4. It has good biocompatibility and anti-allergy properties and can safely come into contact with the human body without causing allergic reactions;

[0072] 5. It has better wettability and surface tension, thus improving its fit and comfort with the skin.

[0073] A conductive layer, such as copper, silver or other metal or metal alloy material, is coated at the connection interface between the connection seat and the conductive connector to increase conductivity. When the collection electrode is inserted into the ear, the conductive connector contacts the conductive metal layer of the connection seat to form a stable conductive connection, thereby realizing signal transmission and data exchange. This design is simple and reliable, and can ensure the stability of the connection between the earphone body and the conductive earphone plug, ensuring the signal transmission quality and data accuracy. At the same time, the use of metal conductive connectors can effectively improve the stability and reliability of signal transmission, and ensure the stability and durability of the earphone during use.

[0074] Embodiment 2

[0075] In order to solve the technical problems in the background technology, the following wireless relaxation music system based on brain wave signals is provided:

[0076] Combination Figure 1 As shown, the wireless relaxation music system based on brain wave signals provided by the present invention includes a brain wave biological collection module for collecting user brain wave signal data;

[0077] A noise reduction processing module is used to remove interference components of EEG signal data and output a low-noise EEG signal data set;

[0078] Music playback module, used to output audio signals;

[0079] A feature extraction module, which is wirelessly connected to the noise reduction processing module and is used to extract features representing the user's sleep state from the EEG signal data set;

[0080] The music recommendation module recommends suitable sleep-promoting songs according to the characteristics of the sleep state; the music recommendation module is connected to the music database;

[0081] Sleep assessment module, which records the characteristics of sleep state and draws the sleep stage curve;

[0082] The wearable bracket is worn on the user's ear, and the brain wave biological collection module, the reference signal collection module, the noise reduction processing module and the music playback module are all placed on the wearable bracket, and the wearable bracket has a built-in power supply module and a communication module; the wearable bracket is an ear clip structure that wraps around the earlobe, and the wearable bracket includes an in-ear rod body, an arc rod and an out-ear rod body, one end of the arc rod is connected to the in-ear rod body, and the other end is connected to the out-ear rod body, the end of the in-ear rod body is embedded with the music playback module, the end of the in-ear rod body is provided with a connecting seat on the outer wall, and the arc rod body has a built-in power supply module, a communication module and a headphone main control module.

[0083] The sleep stage curve is mainly based on expert calibration data based on the American Academy of Sleep Medicine.

[0084] In this embodiment, the noise reduction processing module includes a reference electrode and a right leg driving electrode, both of which are arranged on the inner wall of the end of the rod body in the ear, the reference electrode is arranged at the top of the right leg driving electrode, and the reference electrode and the right leg driving electrode are arranged on the side of the connecting seat. When the user wears the wearable bracket, the ends of the reference electrode and the right leg driving electrode are in contact with the user's auricle.

[0085] In this embodiment, the EEG bio-collection module includes an in-ear collection electrode and a peri-ear collection electrode. The in-ear collection electrode is electrically mounted on a connecting seat, and the peri-ear collection electrode is disposed at the end of an outer ear rod. When the user wears the wearable bracket, the in-ear collection electrode is embedded in the user's cochlea to collect in-ear EEG signals, and the peri-ear collection electrode is attached to the skin behind the user's ear to collect outer ear EEG signals.

[0086] In this embodiment, the in-ear collection electrode includes a conductive silicone plug and a conductive connector, the inner end of the conductive connector is electrically inserted into the connecting seat, and the outer end of the conductive connector is covered with a conductive silicone plug.

[0087] In this embodiment, the sleep state representation features include the mean of the brain wave signal, the variance of the brain wave signal, the skewness of the brain wave signal, the kurtosis of the brain wave signal, the absolute energy of different brain wave bands, the relative energy of different brain wave bands, the edge frequency of the brain wave spectrum, the peak frequency of the brain wave spectrum, the median frequency of the brain wave signal spectrum, and the entropy of the brain wave signal spectrum.

[0088] In the above scheme:

[0089] Mean, variance, skewness and kurtosis of EEG signals: Perform Fourier transform on EEG signals and then calculate the mean, variance, skewness and divergence;

[0090] Absolute energy of different EEG bands: The power map of EEG signals is obtained through Fourier transform, and the energy of delta, theta, alpha, and beta bands is calculated;

[0091] Relative energy of different brain wave bands: the ratio of the energy of different bands to the total energy obtained by adding the energy of different bands;

[0092] Edge frequency of brain wave spectrum: A threshold is obtained by integrating the time-frequency spectrum, and the integral to the left of the edge frequency accounts for 95% of the total energy.

[0093] Peak frequency of the EEG spectrum: First, denoise the EEG spectrum, and then find the frequency corresponding to the peak of the alpha band;

[0094] Median frequency of the EEG signal spectrum: A threshold is obtained by integrating the time-frequency spectrum, and the integral to the left of the edge frequency accounts for 50% of the total energy.

[0095] In this embodiment, the wireless relaxation music system based on brain wave signals is characterized in that the working steps of the wireless relaxation music system are as follows:

[0096] S1, start the system, and the EEG biological collection module collects EEG data for a time frame;

[0097] S2, the noise reduction processing module removes interference information of the EEG signal data and outputs a low-noise EEG signal data set to the feature extraction module;

[0098] S3, feature extraction module extracts sleep state representation features in the EEG signal dataset;

[0099] S4, the music recommendation module recommends suitable sleep-promoting songs according to the sleep state representation characteristics, and the music playing module plays the sleep-promoting songs;

[0100] S5, the brain wave biological collection module collects brain wave data of a time frame after S4;

[0101] S6, the sleep assessment module determines whether the brain wave data collected in S5 reaches the sleep target state;

[0102] If yes, then go to S7;

[0103] If not, return to S2;

[0104] S7, the brain wave biological collection module collects the brain wave data of a time frame after S6, and the sleep assessment module records the sleep state representation characteristics and brain wave data;

[0105] S8. Determine whether the system stops running:

[0106] If yes, the sleep assessment module draws a sleep curve;

[0107] If no, return to S7.

[0108] In the above method, by pre-matching suitable sleep-promoting songs and then setting the judgment and adjustment step S6, it is possible to judge whether to change the sleep-promoting songs based on the pre-matched sleep effects, thereby matching the best sleep-promoting songs for the user. This is not a single direct recommendation, but can provide targeted recommendations based on the user's sleep state and music preferences.

[0109] The above time frame is exemplarily 30 seconds.

[0110] The working devices of the above system may include bio-monitoring neural headsets, smart watches, smart phones, wearable computing devices, tablets, desktops, auxiliary bio-signal detectors, auxiliary sensors, medical devices, etc. The execution of the method can be carried out through native applications, web applications, firmware on the device, etc. The components of the system and the execution of the method can adopt a variety of machine learning methods, such as supervised learning, unsupervised learning, reinforcement learning, etc., as well as various algorithms and models, such as regression algorithms, decision tree learning methods, neural network models, etc.

[0111] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0112] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A wireless music headset for sleep and relaxation based on brain wave signals, characterized by: The invention comprises a wearable bracket, which is an ear clip structure wrapped around the earlobe, and has a built-in power supply module and a communication module. An in-ear collection electrode is inserted on the outer wall of the ear end of the wearable bracket, a reference electrode and a right leg driving electrode are arranged on the inner wall of the ear end of the wearable bracket, and an ear periphery collection electrode is arranged on the outer wall of the exposed end of the wearable bracket.

2. The wireless music headset for sleep aid and relaxation based on brain wave signals according to claim 1, characterized in that: The wearable bracket includes an in-ear rod body, an arc rod and an out-ear rod body, one end of the arc rod is connected to the in-ear rod body, and the other end is connected to the out-ear rod body, a music playing module is embedded in the end of the in-ear rod body, a connecting seat is provided on the outer wall of the end of the in-ear rod body, and a power supply module and a communication module are built in the arc rod body; the in-ear collection electrode is electrically assembled on the connecting seat, and the ear periphery collection electrode is arranged at the end of the out-ear rod body.

3. The wireless music headset for sleep aid and relaxation based on brain wave signals according to claim 2, characterized in that: The in-ear collection electrode comprises a conductive silicone plug and a conductive connector, the inner end of the conductive connector is electrically inserted into the connection seat, and the outer end of the conductive connector is sleeved with a conductive silicone plug.

4. The wireless music headset for sleep aid and relaxation based on brain wave signals according to claim 3 is characterized by: The raw materials for preparing the conductive silicone plug include carbon black, metal powder, silicone matrix and hydrophilic modifier.

5. A wireless relaxing music system based on brain wave signals, characterized in that: include: Brain wave bio-collection module, used to collect user's brain wave signal data; A noise reduction processing module is used to remove interference components of EEG signal data and output a low-noise EEG signal data set; Music playback module, used to output audio signals; A feature extraction module, which is wirelessly connected to the noise reduction processing module and is used to extract features representing the user's sleep state from the EEG signal data set; Music recommendation module, which recommends suitable sleep-promoting songs based on the characteristics of sleep status; Sleep assessment module, which records the characteristics of sleep state and draws the sleep stage curve; The wearable bracket is worn on the user's ear. The brain wave biological acquisition module, reference signal acquisition module, noise reduction processing module and music playback module are all placed on the wearable bracket. The wearable bracket has a built-in power supply module and communication module.

6. The wireless relaxation music system based on brain wave signals according to claim 5, characterized in that: The wearable bracket is an ear clip structure that wraps around the earlobe. The wearable bracket includes an in-ear rod body, an arc rod and an out-ear rod body. One end of the arc rod is connected to the in-ear rod body, and the other end is connected to the out-ear rod body. A music playing module is embedded in the end of the in-ear rod body, a connecting seat is provided on the outer wall of the end of the in-ear rod body, and a power supply module and a communication module are built into the arc rod body.

7. The wireless relaxation music system based on brain wave signals according to claim 6, characterized in that: The noise reduction processing module includes a reference electrode and a right leg driving electrode. The reference electrode and the right leg driving electrode are both arranged on the inner wall of the end of the rod body in the ear. The reference electrode is arranged at intervals on the top of the right leg driving electrode. When the user wears the wearable bracket, the ends of the reference electrode and the right leg driving electrode are both in contact with the user's auricle.

8. The wireless relaxation music system based on brain wave signals according to claim 7, characterized in that: The brain wave biological collection module includes an in-ear collection electrode and a peri-ear collection electrode. The in-ear collection electrode is electrically assembled on a connecting seat, and the peri-ear collection electrode is arranged at the end of an outer ear rod. When a user wears the wearable bracket, the in-ear collection electrode is embedded in the user's cochlea to collect in-ear brain wave signals, and the peri-ear collection electrode is attached to the skin behind the user's ear to collect outer ear brain wave signals.

9. The wireless relaxation music system based on brain wave signals according to claim 8, characterized in that: The in-ear collection electrode comprises a conductive silicone plug and a conductive connector, the inner end of the conductive connector is electrically inserted into the connection seat, and the outer end of the conductive connector is sleeved with a conductive silicone plug.

10. The wireless relaxation music system based on brain wave signals according to claim 9, characterized in that: The wireless relaxation music system works as follows: S1, start the system, and the EEG biological collection module collects EEG data for a time frame; S2, the noise reduction processing module removes interference information of the EEG signal data and outputs a low-noise EEG signal data set to the feature extraction module; S3, feature extraction module extracts sleep state representation features in the EEG signal dataset; S4, the music recommendation module recommends suitable sleep-promoting songs according to the sleep state representation characteristics, and the music playing module plays the sleep-promoting songs; S5, the brain wave biological collection module collects brain wave data of a time frame after S4; S6, the sleep assessment module determines whether the brain wave data collected in S5 reaches the sleep target state; If yes, then go to S7; If not, return to S2; S7, the brain wave biological collection module collects the brain wave data of a time frame after S6, and the sleep assessment module records the sleep state representation characteristics and brain wave data; S8. Determine whether the system stops running: If yes, the sleep assessment module draws a sleep curve; If no, return to S7.

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