Brain wave detection method, brain wave intervention method, device, medium and equipment

Abstract

The present invention provides a brain wave detection method, a brain wave intervention method, a device, a medium and equipment, and the brain wave detection method includes: emitting a near-infrared wave signal to the brain of a target object; collecting near-infrared brain imaging of the target object; measuring the current relative concentration of hemoglobin based on the near-infrared brain imaging; and determining the current brain wave signal of the target object based on the current relative concentration and the correspondence between the hemoglobin concentration and the brain wave signal. Thus, by utilizing the characteristics of hemoglobin being sensitive to near-infrared waves and being able to absorb near-infrared waves, the concentration of hemoglobin can be measured through near-infrared brain imaging, and the correspondence between different brain waves and hemoglobin concentrations can be used to detect the current brain wave signal of the target object, thereby realizing contactless detection of brain wave signals, and no contact with the target object is required during the entire detection process, reducing interference with the brain wave signal during the detection process, and thereby improving the accuracy of the final detection result.

Description

Technical Field

[0001] The present invention relates to the field of database technology, and in particular to a brain wave detection method, a brain wave intervention method, a device, a medium and equipment. Background Art

[0002] As people's living standards improve and the pace of society accelerates, people's spirits are also in a state of tension, which also affects the efficiency of life and work. Maintaining a good state at work and a relaxed atmosphere during rest is people's ideal pursuit. Studies have shown that human brain wave signals will directly affect people's mental state, such as: some brain wave signals will make people excited, and some brain wave signals will make people calm, etc. Therefore, the detection and intervention of brain waves has become a hot topic in the current industry research.

[0003] At present, in the existing technology, brain wave detection is usually contact detection, which requires electrodes to be set on the head and requires the human body to remain relatively still for detection and cannot move at will. Although there are some wearable and movable EEG detection devices, this contact EEG detection device directly contacts the head of the tester, which may stimulate the brain and directly interfere with the brain wave signals generated by the brain, thereby failing to truly reflect the user's brain wave signals in different scenarios and it is difficult to ensure the accuracy of the detection results. Summary of the invention

[0004] In view of this, embodiments of the present invention provide a brain wave detection method, a brain wave intervention method, an apparatus, a medium and a device to overcome the problem that the contact-type detection of brain wave signals in the prior art is adopted. Since the detection process requires direct contact with the head, it will interfere with the brain wave signal, thereby affecting the accuracy of the brain wave detection results.

[0005] According to a first aspect, an embodiment of the present invention provides a method for detecting brain waves, comprising:

[0006] Transmitting a near infrared wave signal to the brain of the target object, wherein the near infrared wave signal is a near infrared wave signal that can be absorbed by hemoglobin in the brain;

[0007] Acquiring near-infrared brain imaging of the target object;

[0008] measuring the current relative concentration of hemoglobin based on the near-infrared brain imaging;

[0009] Based on the corresponding relationship between the current relative concentration and hemoglobin concentration and the brain wave signal, the current brain wave signal of the target object is determined.

[0010] Optionally, before emitting the near infrared wave signal to the brain of the target object, the method further includes:

[0011] Acquire infrared waves generated by the target object;

[0012] Demodulating and analyzing the infrared wave to determine the wavelength, frequency and energy of the infrared wave;

[0013] Based on the wavelength, frequency and energy of the infrared wave, judging whether the temperature of the target object is within the temperature range of the human body through resonance phenomenon and thermal effect;

[0014] When it is determined that the temperature of the target object belongs to the temperature range of the human body, a near infrared wave signal is emitted to the brain of the target object.

[0015] Optionally, the correspondence between the hemoglobin concentration and the brain wave signal is obtained in the following manner:

[0016] Obtaining the hemoglobin concentration of the brain corresponding to different human subjects under different brain wave signals;

[0017] Data analysis is performed on the hemoglobin concentrations in the brains of different human subjects under different brain wave signals to determine the corresponding relationship between brain wave signals and hemoglobin concentrations.

[0018] Optionally, the method further comprises:

[0019] Emitting an electromagnetic wave signal to the brain of the target object according to the properties of the current brain wave signal, detecting the same frequency and amplitude of the brain wave, and returning to the step of emitting a near-infrared wave signal to the brain of the target object until the current brain wave signal is consistent with the current brain wave signal detected last time.

[0020] According to a second aspect, an embodiment of the present invention provides a brain wave intervention method, comprising:

[0021] Obtain the target object's brain wave intervention needs;

[0022] Adopting the brain wave detection method described in the first aspect and any one of the optional implementation methods thereof to detect the current brain wave signal of the target object;

[0023] According to the brain wave intervention requirement, an electromagnetic wave intervention signal having the same frequency and amplitude as the current brain wave signal is sent to the target object to intervene in the brain wave of the target object.

[0024] Optionally, the method further comprises:

[0025] Based on the EEG intervention requirements, determine the intervention duration;

[0026] When the time of intervening the brain wave of the target object reaches the intervention time, stopping sending the electromagnetic wave intervention signal with the same frequency and amplitude as the current brain wave signal to the target object;

[0027] Re-adopting the brain wave detection method described in the first aspect and any one of the optional implementation methods thereof to detect the current brain wave signal of the target object;

[0028] Determining whether the re-detected current brain wave signal meets the brain wave intervention requirement;

[0029] When the re-detected current brain wave signal does not meet the brain wave intervention requirement, an electromagnetic wave intervention signal with the same frequency and amplitude as the re-detected current brain wave signal is re-sent to the target object according to the brain wave intervention requirement to intervene in the brain waves of the target object until the re-detected current brain wave signal meets the brain wave intervention requirement.

[0030] Optionally, obtaining the target object's brain wave intervention needs includes:

[0031] Acquire environmental data of the current environment of the target object;

[0032] Analyze the environmental data to determine the target mental state that the target object expects in the current environment;

[0033] The brain wave intervention requirement of the target object is determined based on the target mental state.

[0034] According to a third aspect, an embodiment of the present invention provides a brain wave detection device, comprising:

[0035] A transmitting module, used for transmitting a near-infrared wave signal to the brain of the target object, wherein the near-infrared wave signal is a near-infrared wave signal that can be absorbed by hemoglobin in the brain;

[0036] An acquisition module, used for acquiring near-infrared brain imaging of the target object;

[0037] a first processing module, configured to measure a current relative concentration of hemoglobin based on the near-infrared brain imaging;

[0038] The second processing module is used to determine the current brain wave signal of the target object based on the corresponding relationship between the current relative concentration and the hemoglobin concentration and the brain wave signal.

[0039] According to a fourth aspect, an embodiment of the present invention provides a brain wave intervention device, comprising:

[0040] An acquisition module is used to obtain the brain wave intervention needs of the target object;

[0041] a detection module, configured to detect a current brain wave signal of the target object using the brain wave detection device as claimed in claim 8;

[0042] The intervention module is used to send an electromagnetic wave intervention signal with the same frequency and amplitude as the current brain wave signal to the target object according to the brain wave intervention requirement, so as to intervene in the brain wave of the target object.

[0043] According to a fifth aspect, an embodiment of the present invention provides an electronic device, including:

[0044] A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method described in the first / second aspect and any optional implementation manner thereof by executing the computer instructions.

[0045] According to the sixth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method described in the first / second aspect, or any optional embodiment thereof.

[0046] The technical solution of the present invention has the following advantages:

[0047] 1. The brain wave detection method and device provided in the embodiment of the present invention transmit near-infrared wave signals to the brain of the target object; collect near-infrared brain images of the target object; measure the current relative concentration of hemoglobin based on the near-infrared brain imaging; and determine the current brain wave signal of the target object based on the current relative concentration and the correspondence between the hemoglobin concentration and the brain wave signal. Thus, by utilizing the characteristics of hemoglobin being sensitive to near-infrared waves and being able to absorb near-infrared waves, the concentration of hemoglobin can be measured through near-infrared brain imaging, and the current brain wave signal of the target object can be detected by utilizing the correspondence between different brain waves and hemoglobin concentrations, thereby realizing non-contact detection of brain wave signals. There is no need to contact the target object during the entire detection process, which reduces interference with the brain wave signal during the detection process, thereby improving the accuracy of the final detection result.

[0048] 2. The brainwave intervention method and device provided in the embodiment of the present invention obtains the brainwave intervention demand of the target object; uses the brainwave detection method provided in another embodiment of the present invention to detect the current brainwave signal of the target object; and sends an electromagnetic wave intervention signal with the same frequency and amplitude as the current brainwave signal to the target object according to the brainwave intervention demand to intervene in the brainwave of the target object. Thus, through the contactless detection of the brainwave signal, the interference to the brainwave signal during the detection process is reduced, the accuracy of the brainwave signal detection result is improved, and the intervention effect of the brainwave intervention on the target object is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 is a flow chart of a brain wave detection method according to an embodiment of the present invention;

[0051] Figure 2 is a flow chart of a brain wave intervention method according to an embodiment of the present invention;

[0052] Figure 3 A flowchart of the working process of brain wave intervention according to an embodiment of the present invention;

[0053] Figure 4 is a system block diagram of an electromagnetic wave generating circuit according to an embodiment of the present invention;

[0054] Figure 5 is a system block diagram of an electromagnetic wave detection system according to an embodiment of the present invention;

[0055] Figure 6 A specific example diagram of brain wave intervention according to an embodiment of the present invention;

[0056] Figure 7 is a schematic structural diagram of a brain wave detection device according to an embodiment of the present invention;

[0057] Figure 8 is a schematic diagram of the structure of a brain wave intervention device according to an embodiment of the present invention;

[0058] Fig. 9 Schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0060] The technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0061] The embodiment of the present invention provides a method for detecting brain waves. Figure 1 As shown, the brain wave detection method specifically includes the following steps:

[0062] Step S101: transmitting a near infrared wave signal to the brain of a target object.

[0063] The near infrared wave signal is a near infrared wave signal that can be absorbed by hemoglobin in the brain. In the embodiment of the present invention, the target object is a human being. In practical applications, it can also be used to detect brain wave signals of animals, etc. The present invention is not limited to this.

[0064] Specifically, multiple infrared emitting devices can be used to emit a red line matrix group to allow infrared waves to enter the human brain, and infrared imaging of the brain can be performed by infrared monitoring of oxidized hemoglobin in the brain, and relative changes in tissue concentration can be measured from near-infrared light attenuation measurements or time or phase changes. Near-infrared spectrum light uses optical properties, where skin, tissue and bone are almost transparent to near-infrared light in the 700-900nm spectrum, while hemoglobin is very sensitive to this wavelength. Therefore, near-infrared light with a wavelength of 700-900nm can be used as a near-infrared wave signal emitted to the brain of the target object.

[0065] Step S102: Acquire near-infrared brain imaging of the target object.

[0066] Specifically, near-infrared brain imaging of the target object can be acquired by using near-infrared brain imaging equipment. This is a prior art and will not be described in detail here.

[0067] Step S103: measuring the current relative concentration of hemoglobin based on near-infrared brain imaging.

[0068] Specifically, since hemoglobin is relatively sensitive to near-infrared light, the difference in absorption spectra allows the relative change in hemoglobin concentration to be measured by using the attenuation of light at multiple wavelengths. Exemplarily, the measurement is performed by selecting at least one wavelength above and below the isosbestic point of about 805 nm. In brain imaging, this law can be used to calculate the relative hemoglobin concentration as a function of the total photon path length. The measurement result recorded is therefore due to the scattered (reflected) light following the elliptical path (also called the photon banana) to determine the hemoglobin concentration.

[0069] Step S104: Determine the current brain wave signal of the target object based on the current relative concentration and the corresponding relationship between the hemoglobin concentration and the brain wave signal.

[0070] Specifically, the correspondence between hemoglobin concentration and brain wave signal is obtained in the following way: obtaining the brain hemoglobin concentration corresponding to different human subjects under different brain wave signals; performing data analysis on the brain hemoglobin concentration corresponding to different human subjects under different brain wave signals to determine the correspondence between brain wave signals and hemoglobin concentration. By using infrared monitoring brain imaging technology, combined with spectral technology methods, and analyzing the correspondence between hemoglobin concentration and brain wave signals through big data, the frequency band and amplitude of the current brain wave signal can be preliminarily determined.

[0071] By executing the above steps, the brain wave detection method provided by the embodiment of the present invention can measure the concentration of hemoglobin through near-infrared brain imaging by utilizing the characteristics of hemoglobin being sensitive to near-infrared waves and being able to absorb near-infrared waves, and detect the current brain wave signal of the target object by utilizing the correspondence between different brain waves and hemoglobin concentrations, thereby realizing contactless detection of brain wave signals. There is no need to contact the target object during the entire detection process, which reduces interference with the brain wave signal during the detection process, thereby improving the accuracy of the final detection result.

[0072] Specifically, in one embodiment, before executing the above step S101, the brain wave detection method provided by the embodiment of the present invention further includes the following steps:

[0073] Step S21: Acquire infrared waves generated by the target object.

[0074] Step S22: Demodulate and analyze the infrared wave to determine the wavelength, frequency and energy of the infrared wave.

[0075] Step S23: judging whether the temperature of the target object is within the temperature range of the human body based on the wavelength, frequency and energy of the infrared wave through resonance phenomenon and thermal effect;

[0076] Step S24: When it is determined that the temperature of the target object is within the temperature range of the human body, a near infrared wave signal is emitted to the brain of the target object.

[0077] Specifically, since any obstacle can generate infrared waves, and the infrared waves generated by organisms and plants are also different, the infrared waves generated by people are detected through multiple infrared receiving head contacts, and then the infrared waves emitted by people are demodulated and analyzed, and the wavelength, frequency, and energy of infrared rays are further analyzed. Through the resonance phenomenon and thermal effect, it is perceived as human body temperature, and human body detection is further locked. In this way, non-contact automatic brain wave detection is realized, and other obstacles in the environment are prevented from interfering with the detection, and the accuracy of the detection results is further ensured.

[0078] Specifically, in one embodiment, the brain wave detection method provided by the embodiment of the present invention further includes the following steps:

[0079] Step S25: Emit an electromagnetic wave signal to the target object's brain according to the properties of the current brain wave signal, detect the same frequency and amplitude of the brain wave, and return to the above step S101 until the current brain wave signal is consistent with the current brain wave signal detected last time.

[0080] Specifically, an electromagnetic wave signal generator is used to synthesize electromagnetic waves with signal parameters consistent with the detected brain waves through frequency synthesis technology, and preliminary same-frequency detection and same-amplitude detection are performed, and re-detection is performed to obtain electromagnetic waves with the same frequency and amplitude that are similar to the previous brain waves. Then, through repeated detection, a relatively accurate brain wave signal of the human body is finally obtained, that is, similar electromagnetic wave signal data with the same frequency and amplitude, so as to further improve the accuracy of the brain wave detection results.

[0081] By executing the above steps, the brain wave detection method provided by the embodiment of the present invention can measure the concentration of hemoglobin through near-infrared brain imaging by utilizing the characteristics of hemoglobin being sensitive to near-infrared waves and being able to absorb near-infrared waves, and detect the current brain wave signal of the target object by utilizing the correspondence between different brain waves and hemoglobin concentrations, thereby realizing contactless detection of brain wave signals. There is no need to contact the target object during the entire detection process, which reduces interference with the brain wave signal during the detection process, thereby improving the accuracy of the final detection result.

[0082] The embodiment of the present invention also provides a brain wave intervention method, such as Figure 2 As shown, the brain wave intervention method specifically includes the following steps:

[0083] Step S201: Obtaining the brain wave intervention needs of the target object.

[0084] The brain wave intervention requirement may be an intervention requirement for adjusting different mental states of the target object, such as an intervention requirement for promoting calmness of the target object, or an intervention requirement for promoting excitement of the target object.

[0085] Specifically, by acquiring environmental data of the current environment in which the target object is located; analyzing the environmental data to determine the target mental state that the target object expects in the current environment; and determining the target object's need for brain wave intervention based on the target mental state.

[0086] For example, by acquiring external environmental factors such as noise, music, humidity, temperature, and through the collection of speech, Internet search content, music, online shopping, habit records, etc., or through the user's usage habits, long-term records and data analysis are conducted to further analyze the state of the current environment, and then through brain wave detection, it is roughly distinguished what kind of comfortable environment people want, and then the need for brain wave intervention is determined.

[0087] Step S202: using the brain wave detection method of the first aspect and any one of its optional implementation methods to detect the current brain wave signal of the target object.

[0088] Step S203: sending an electromagnetic wave intervention signal having the same frequency and amplitude as the current brain wave signal to the target object according to the brain wave intervention requirement, so as to intervene in the brain wave of the target object.

[0089] For example, assuming that the purpose of intervening in brain waves is to help sleep, according to the promotion of relevant state conditions, the sleep-aiding function (α wave, frequency is 8-13 times per second, the average is about 10 times, it is the basic rhythm of normal human brain waves, without external stimulation, its frequency is quite constant. This rhythm is most obvious when people are awake, quiet and close their eyes), the electromagnetic wave signal generator enters the suppression of excitement interference (electromagnetic waves strengthen α waves, and the excited β waves, δ waves or θ waves are weakened at this moment), so that the brain wave α waves are always calmly strengthened. That is, the electromagnetic waves in the sleeping state interfere with the brain waves to quickly enter the sleeping state, giving people a quiet and comfortable state.

[0090] By executing the above steps, the brainwave intervention method provided by the embodiment of the present invention reduces the interference to the brainwave signal during the detection process through non-contact detection of the brainwave signal, improves the accuracy of the brainwave signal detection result, and further improves the intervention effect of the brainwave intervention on the target object.

[0091] Specifically, in one embodiment, the brain wave intervention method provided by the embodiment of the present invention further includes the following steps:

[0092] Step S31: Determine intervention duration based on brain wave intervention requirements.

[0093] Step S32: When the time for intervening in the brain wave of the target object reaches the intervention duration, stop sending the electromagnetic wave intervention signal with the same frequency and amplitude as the current brain wave signal to the target object.

[0094] Specifically, the intervention duration can be flexibly adjusted, such as 10 minutes, to avoid long-term stimulation of brain waves and other adverse effects on the human body.

[0095] Step S33: re-adopting the brain wave detection method provided by another embodiment of the present invention to detect the current brain wave signal of the target object.

[0096] Step S34: Determine whether the re-detected current brain wave signal meets the brain wave intervention requirement.

[0097] Specifically, when the re-detected current brain wave signal does not meet the brain wave intervention requirements, an electromagnetic wave intervention signal with the same frequency and amplitude as the re-detected current brain wave signal is sent to the target object again according to the brain wave intervention requirements to intervene in the brain waves of the target object until the re-detected current brain wave signal meets the brain wave intervention requirements.

[0098] Therefore, by continuously detecting brain waves during the process of intervening in brain waves, the effect of brain wave intervention can be understood, and the brain waves can be intervened and adjusted in time to further enhance the effect of brain wave intervention.

[0099] The following will describe in detail the process of brain wave detection and intervention provided by the embodiments of the present invention in conjunction with specific application examples.

[0100] First, the brain wave detection and intervention method provided by the embodiment of the present invention can be applied to various household electrical appliances. For example, it can be applied to fans, so that the fan can add the function of hypnosis and excitement during operation. The fan can generate electromagnetic waves of different frequencies and amplitudes to interfere with brain waves in combination with the user's mood at the time (such as lullabies, hypnotic environment; inspirational quotes, inspirational speeches, etc.), so as to achieve the excitement and inhibition of the cerebral cortex by physical methods, and finally achieve the effect of refreshing people or hypnosis. When sleep is needed, people can be hypnotized and fall asleep quickly, and the brain waves can be interfered with by physically amplifying electromagnetic waves to make the cerebral cortex enter a calm state. When excitement is needed, the cortex of the cerebral folds can also be interfered with by physical electromagnetic waves to make the brain waves excited, and the drug properties of refreshing excitement can achieve a mutually reinforcing effect. The following two states can be detected by brain waves to reach a normal state, and the interference can be stopped quickly.

[0101] Figure 3 This is a flowchart of the working process of brain wave intervention. Brain wave signals exist in two states (sleep and excitement). The control function of non-contact detection of brain waves can be controlled by the fan control panel or cloud APP, or the AI ​​detection mood state preset function can be turned on in the cloud APP. Non-contact detection of brain waves is uploaded to the cloud for analysis, and the degree of interference with brain waves is determined, or the brain wave interference is terminated.

[0102] Figure 4It is an electromagnetic wave generating circuit, which is derived based on Maxwell's electromagnetic wave theory, using electric field generating circuit and magnetic field generating circuit, combined with amplifier circuit, microprocessor chip control circuit, multi-way selection circuit, voltage and current conversion circuit and vector conversion circuit to obtain the electromagnetic wave generating circuit, which realizes the generation result of electromagnetic wave. (It is a combination of an electric field generating circuit and a magnetic field generating circuit, and the propagation direction of the electromagnetic wave is perpendicular to the direction of the electric field and the magnetic field. The electric field and the magnetic field appear and disappear at the same time, and convert into each other, that is, the combination of electric waves and magnetic waves to become electromagnetic waves) and detect and calibrate effective electromagnetic waves to interfere with brain wave signals and obtain effective signal (amplitude, frequency (wavelength), waveform (spectrum distribution)) information, which are finally transmitted to the cloud for data analysis. If it is an effective or nearly effective electromagnetic wave signal, continue to judge. After repeated cyclical judgments, the final effective electromagnetic wave signal is obtained through envelope, demodulation, same-frequency detection, and same-amplitude detection circuits. This electromagnetic wave signal is very close to the brain wave signal, and the brain wave detection system is finally calibrated after cloud data analysis to become an electromagnetic wave that can effectively (amplitude, frequency (wavelength), waveform (spectrum distribution)) interfere with brain waves. Resonance is strengthened by the same frequency, same amplitude, and same phase, and resonance is weakened by anti-phase and difference frequency. It should be noted that the specific circuit structure of the electromagnetic wave generating circuit can be integrated and implemented by referring to the circuit structure of the related circuit in the prior art. This part is not the inventive point of the present invention and will not be elaborated here.

[0103] Figure 5 FIG. 1 is a system block diagram of an electromagnetic wave detection system according to an embodiment of the present invention. Figure 4Combined with the electromagnetic wave generating circuit, an auxiliary calibration system is provided for non-contact brain wave detection. Any obstacle can generate infrared waves. The infrared waves generated by organisms and plants are also different. Human brain waves are actually electromagnetic waves. This non-contact auxiliary brain wave detection system detects human infrared waves through multiple infrared receiving head contacts, demodulates and analyzes the infrared waves emitted by humans, and finally uploads them to the cloud. The frequency band and amplitude of the detected electromagnetic waves are obtained through big data analysis when the infrared wavelength at this time is obtained. The brain waves derived by infrared waves are not completely accurate. According to the cloud big data (δ wave: frequency is 0.5-3Hz, amplitude is 20-200μV. This band can be recorded in the temporal lobe and occipital lobe when a person is in infancy or intellectually immature, and when an adult is extremely tired and drowsy or anesthetized; θ wave: frequency is 4-7Hz, amplitude is 100-150μV. This wave is very significant in adults with frustrated will or depression and mental illness. However, this wave is the main component in the electroencephalogram of teenagers (10-17 years old); α wave: frequency is 8-13Hz (average is 10Hz), amplitude is 20-100μV. It is the basic rhythm of normal human brain waves. If there is no external stimulation, its frequency is quite constant. This rhythm is most obvious when a person is awake, quiet and has closed eyes, and it is more obvious when the eyes are open (exposed to light stimulation). When the brain is stimulated or receives other stimulation, the alpha wave disappears immediately; beta wave: the frequency is 14-30Hz, the amplitude is 5-20μV. This wave appears when the mind is tense and the emotions are excited or excited. When a person wakes up from a nightmare, the original slow wave rhythm can be immediately replaced by this rhythm; when a person is in a good mood or meditating, the beta wave, delta wave or theta wave that has been excited at this moment is calm and strengthened, and the alpha wave is relatively weakened. Because this waveform is closest to the brain electrical biorhythm of the right brain, the state of inspiration of the person appears) comparison calibration, detection, repeated cycle calculation, and finally obtain a relatively accurate brain wave signal of the human body, that is, similar electromagnetic wave signal data of the same frequency and amplitude. If this data is reproduced through cloud big data analysis, on a system or APP with a host computer, a circuit diagram very close to the brain wave can be drawn, and the effect is very close to the electroencephalogram detection equipment.

[0104] Figure 6This is a specific example diagram of brain wave intervention in an embodiment of the present invention. Specifically, there are two states of brain wave interference (sleep aid, excitement). The simplest function and device are not connected to the cloud, and the brain wave detection and AI environmental awareness detection states will be invalid when turned on. Without the support of cloud big data, it can only be used as an ordinary electromagnetic wave interference function. According to the promotion of relevant state conditions, the sleep aid function (α wave, the frequency is 8-13 times per second, the average is about 10 times, it is the basic rhythm of normal human brain waves, if there is no external stimulation, its frequency is quite constant. The rhythm is most obvious when a person is awake, quiet and closes his eyes), the electromagnetic wave signal generator enters the suppression of excitement interference (electromagnetic waves strengthen α waves, and the excited β waves, δ waves or θ waves are weakened at this moment), so that the brain wave α waves are always calm and strengthened. That is, the electromagnetic waves in the sleeping state interfere with the brain waves to quickly enter the sleeping state, giving people a quiet and comfortable state. At this time, the support of AI and cloud big data is lost. Generally, such interference only lasts for 20 minutes. After 20 minutes, the interference stops automatically. In the case of excitement function, the electromagnetic wave signal generator guides the brain waves through the same frequency and amplitude (when people are in a good mood or meditating, the excited β waves, δ waves or θ waves are calm and enhanced at this moment, and the α waves are relatively weakened) to gradually enter the excited state, and by increasing multiple frequency resonance points, the same frequency resonance is performed, and finally the same frequency state is achieved, and the same frequency state is guided into the same frequency state. This frequency band is the data analyzed by big data, and this frequency band point is generally an excitement point. The excitement promotion time is about 10 minutes, which is also to ensure that people do not become overly excited, which affects the resonance of brain waves and causes excessive excitement to the brain. The device is connected to the cloud (this cloud access device can be a mobile phone, pad, etc. or other APP application terminal), and relevant operations are performed in the APP, such as turning on the brain wave detection function, turning on the AI ​​environmental awareness recognition, and the AI ​​environmental awareness detects the external conscious environment with the cloud device, or the fan device detects external environmental factors such as noise, music, humidity, temperature, etc. All of the above environmental parameters will be transmitted to the cloud device through each detection sensor through internal hardware processing. The cloud device analyzes the big data (1. Monitor the state of the environment, through the collection of speech, network search content, music, online shopping, and records of fan operation habits, etc. 2. Through the use The user's usage habits are recorded and analyzed for a long time. ) Further analyze the state of this environment, and then through brain wave detection, roughly distinguish what kind of comfortable environment people want. The electromagnetic wave generator gives instructions through big data and initially makes what kind of radio wave signal to make (α waves that promote sleep, with a frequency of 8-13 times per second, an average of about 10 times; excited β waves, δ waves or θ waves, with a frequency of 14-30 times per second), whether to promote sleep brain wave interference, or to provide excitement for brain wave interference. At this time, what kind of electromagnetic wave is initially generated, but it has not yet been connected to the transmitter, and it cannot cause any interference to human brain waves.When people receive prompts to promote sleep or enter an excited state, the device will make further judgments based on the judgment state. If it is to promote sleep or suppress excitement, it will execute electromagnetic waves that promote sleep and interfere with brain waves, and the electromagnetic wave sending device will be turned on. At the same time, the cloud uses AI environmental awareness detection and brain wave status detection to determine whether brain wave interference is needed again through big data analysis. These processes are constantly adjusted, and the big data in the cloud is calculated more than 100 million times. If the big data analysis shows that the brain wave signal during sleep at this time is already a normal average value, then the promotion of sleep interference will be stopped. The same is true for promoting excitement brain wave interference. The average value of the brain waves in the excited state detected by the cloud through big data calculation more than 100 million times will stop interfering with the brain waves in the excited state.

[0105] The present invention interferes with human brain waves through physical non-contact electromagnetic waves, which can suppress excitement and bring people into a hypnotic and calm state; or promote excitement and passion in people's brains. It can improve people's quality of life and work efficiency. Non-contact brain wave detection technology can judge people's mental state, improve the accuracy of judging people's mental state, and appropriately interfere with brain waves to enable people to reach the best mental state.

[0106] By executing the above steps, the brainwave intervention method provided by the embodiment of the present invention reduces the interference to the brainwave signal during the detection process through non-contact detection of the brainwave signal, improves the accuracy of the brainwave signal detection result, and further improves the intervention effect of the brainwave intervention on the target object.

[0107] The embodiment of the present invention also provides a brain wave detection device, such as Figure 7 As shown, the brain wave detection device comprises:

[0108] The transmitting module 101 is used to transmit near infrared wave signals to the brain of the target object, and the near infrared wave signals are near infrared wave signals that can be absorbed by hemoglobin in the brain. For details, please refer to the relevant description of step S101 in the above method embodiment, which will not be repeated here.

[0109] The acquisition module 102 is used to acquire near-infrared brain imaging of the target object. For details, please refer to the relevant description of step S102 in the above method embodiment, which will not be repeated here.

[0110] The first processing module 103 is used to measure the current relative concentration of hemoglobin based on near-infrared brain imaging. For details, please refer to the relevant description of step S103 in the above method embodiment, which will not be repeated here.

[0111] The second processing module 104 is used to determine the current brain wave signal of the target object based on the current relative concentration and the correspondence between the hemoglobin concentration and the brain wave signal. For details, please refer to the relevant description of step S104 in the above method embodiment, which will not be repeated here.

[0112] The brain wave detection device provided in the embodiment of the present invention is used to execute the brain wave detection method provided in the above embodiment. Its implementation method and principle are the same. For details, please refer to the relevant description of the above method embodiment and will not be repeated here.

[0113] Through the coordinated cooperation of the above-mentioned components, the brain wave detection device provided in the embodiment of the present invention can measure the concentration of hemoglobin through near-infrared brain imaging by utilizing the characteristics of hemoglobin that is sensitive to near-infrared waves and can absorb near-infrared waves. It can also detect the current brain wave signal of the target object by utilizing the correspondence between different brain waves and hemoglobin concentrations, thereby realizing contactless detection of brain wave signals. There is no need to contact the target object during the entire detection process, which reduces interference with the brain wave signal during the detection process, thereby improving the accuracy of the final detection result.

[0114] The embodiment of the present invention also provides a brain wave intervention device, such as Figure 8 As shown, the brain wave intervention device includes:

[0115] The acquisition module 201 is used to acquire the brain wave intervention needs of the target object. For details, please refer to the relevant description of step S201 in the above method embodiment, which will not be repeated here.

[0116] The detection module 202 is used to detect the current brain wave signal of the target object using the brain wave detection device provided by another embodiment of the present invention. For details, please refer to the relevant description of step S202 in the above method embodiment, which will not be repeated here.

[0117] The intervention module 203 is used to send an electromagnetic wave intervention signal with the same frequency and amplitude as the current brain wave signal to the target object according to the brain wave intervention requirement, so as to intervene in the brain wave of the target object. For details, please refer to the relevant description of step S203 in the above method embodiment, which will not be repeated here.

[0118] The brain wave intervention device provided in the embodiment of the present invention is used to execute the brain wave intervention method provided in the above embodiment. Its implementation method and principle are the same. For details, please refer to the relevant description of the above method embodiment and will not be repeated here.

[0119] Through the coordinated cooperation of the above-mentioned components, the brainwave intervention device provided by the embodiment of the present invention reduces the interference to the brainwave signals during the detection process through contactless detection of brainwave signals, improves the accuracy of brainwave signal detection results, and further improves the intervention effect of brainwave intervention on the target object.

[0120] Fig. 9 An electronic device according to an embodiment of the present invention is shown. Fig. 9 As shown, the electronic device includes: a processor 901 and a memory 902, wherein the processor 901 and the memory 902 can be connected via a bus or other means. Fig. 9 The example of connecting through bus is taken in the following.

[0121] The processor 901 may be a central processing unit (CPU). The processor 901 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0122] The memory 902 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the methods in the above method embodiments. The processor 901 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 902, that is, implementing the methods in the above method embodiments.

[0123] The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor 901, etc. In addition, the memory 902 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 902 may optionally include a memory remotely arranged relative to the processor 901, and these remote memories may be connected to the processor 901 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0124] One or more modules are stored in the memory 902 , and when executed by the processor 901 , the method in the above method embodiment is executed.

[0125] The specific details of the above electronic device can be understood by referring to the corresponding descriptions and effects in the above method embodiments, and will not be repeated here.

[0126] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the implemented program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0127] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for detecting brain waves, characterized in that: include: Transmitting a near infrared wave signal to the brain of the target object, wherein the near infrared wave signal is a near infrared wave signal that can be absorbed by hemoglobin in the brain; Acquiring near-infrared brain imaging of the target object; measuring the current relative concentration of hemoglobin based on the near-infrared brain imaging; Determining a current brain wave signal of the target object based on the corresponding relationship between the current relative concentration and the hemoglobin concentration and the brain wave signal; The corresponding relationship between the hemoglobin concentration and the brain wave signal is obtained in the following way: Obtaining the hemoglobin concentration of the brain corresponding to different human subjects under different brain wave signals; Data analysis is performed on the hemoglobin concentrations in the brains of different human subjects under different brain wave signals to determine the corresponding relationship between brain wave signals and hemoglobin concentrations.

2. The method according to claim 1, characterized in that Before emitting the near infrared wave signal to the brain of the target object, the method further includes: Acquire infrared waves generated by the target object; Demodulating and analyzing the infrared wave to determine the wavelength, frequency and energy of the infrared wave; Based on the wavelength, frequency and energy of the infrared wave, judging whether the temperature of the target object is within the temperature range of the human body through resonance phenomenon and thermal effect; When it is determined that the temperature of the target object belongs to the temperature range of the human body, a near infrared wave signal is emitted to the brain of the target object.

3. The method according to claim 1, characterized in that Also includes: Emitting an electromagnetic wave signal to the brain of the target object according to the properties of the current brain wave signal, detecting the same frequency and amplitude of the brain wave, and returning to the step of emitting a near-infrared wave signal to the brain of the target object until the current brain wave signal is consistent with the current brain wave signal detected last time.

4. A brain wave intervention method, characterized in that: include: Obtain the target object's brain wave intervention needs; Using the brain wave detection method according to any one of claims 1 to 3 to detect the current brain wave signal of the target object; According to the brain wave intervention requirement, an electromagnetic wave intervention signal having the same frequency and amplitude as the current brain wave signal is sent to the target object to intervene in the brain wave of the target object.

5. The method according to claim 4, characterized in that Also includes: Based on the EEG intervention requirements, determine the intervention duration; When the time of intervening the brain wave of the target object reaches the intervention time, stopping sending the electromagnetic wave intervention signal with the same frequency and amplitude as the current brain wave signal to the target object; Re-adopting the brain wave detection method as claimed in any one of claims 1 to 3 to detect the current brain wave signal of the target object; Determining whether the re-detected current brain wave signal meets the brain wave intervention requirement; When the re-detected current brain wave signal does not meet the brain wave intervention requirement, an electromagnetic wave intervention signal with the same frequency and amplitude as the re-detected current brain wave signal is re-sent to the target object according to the brain wave intervention requirement to intervene in the brain waves of the target object until the re-detected current brain wave signal meets the brain wave intervention requirement.

6. The method according to claim 4, characterized in that The obtaining of the target object's brain wave intervention needs includes: Acquire environmental data of the current environment of the target object; Analyze the environmental data to determine the target mental state that the target object expects in the current environment; The brain wave intervention requirement of the target object is determined based on the target mental state.

7. A brain wave detection device, characterized in that: include: A transmitting module, used for transmitting a near-infrared wave signal to the brain of the target object, wherein the near-infrared wave signal is a near-infrared wave signal that can be absorbed by hemoglobin in the brain; An acquisition module, used for acquiring near-infrared brain imaging of the target object; a first processing module, configured to measure a current relative concentration of hemoglobin based on the near-infrared brain imaging; A second processing module, configured to determine a current brain wave signal of the target object based on the current relative concentration and the corresponding relationship between the hemoglobin concentration and the brain wave signal; The second processing module is further used for: Obtaining the hemoglobin concentration of the brain corresponding to different human subjects under different brain wave signals; Data analysis is performed on the hemoglobin concentrations in the brains of different human subjects under different brain wave signals to determine the corresponding relationship between brain wave signals and hemoglobin concentrations.

8. A brain wave intervention device, characterized in that: include: An acquisition module is used to obtain the brain wave intervention needs of the target object; a detection module, configured to detect a current brain wave signal of the target object using the brain wave detection device according to claim 7; The intervention module is used to send an electromagnetic wave intervention signal with the same frequency and amplitude as the current brain wave signal to the target object according to the brain wave intervention requirement, so as to intervene in the brain wave of the target object.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 6 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 6.

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