Method for changing brain waves by integrating audio-visual binaural rhythm entrainment technology

Abstract

The invention provides a method for changing brain waves by integrating an audio-visual binaural rhythm entrainment technology, and relates to the technical field of psychological intervention. The method for changing the brain waves through the audio-visual entrainment binaural rhythm technology comprises the following steps that S1, original brain wave signals of a user are collected; s2, analyzing and processing the brain wave signal to obtain an initial characteristic parameter of the brain wave signal; s3, an audio generator is adopted to output specific audio, and the audio can be output to the left ear and the right ear of the user; s4, a light frequency generator is adopted to output a specific flash frequency, and flash at the frequency can be output to glasses of the user; and S5, a lighting generator is adopted to output light with the full-visible spectrum color, and the light can act on the eyes of the user. According to the method, sound pulses with different frequencies and specific tones and flash with specific frequencies and colors can be given to the left and right ears to mildly stimulate the brain, and brain waves capable of causing a specific psychological state are generated.

Description

Technical Field

[0001] The invention relates to the technical field of psychological intervention, in particular to a method for changing brain waves by integrating audio-visual entrainment with binaural beat technology. Background Art

[0002] The brain is made up of tens of thousands of neurons. Brain waves are electrical signals generated by the activities between these neurons. Some of the connections between these neurons are excitatory, while others are inhibitory. Thinking activities reflect the connections between these neurons. Neurons in the brain receive signals from other neurons. When the energy accumulation of these signals exceeds a certain threshold, brain waves are generated. Brain waves are the basic theoretical research of brain science, and brain wave monitoring technology is widely used in clinical practice.

[0003] Audiovisual entrainment is a technique that uses light and sound pulses at specific frequencies to gently and safely guide the brain into various brainwave patterns that can elevate a person's mood, improve sleep patterns, sharpen thinking, and increase relaxation levels. Binaural beats are when a person hears two tones of slightly different frequencies at the same time, and brain activity matches the frequency set by the beat frequency, which is called the frequency following effect, meaning that binaural beats can be used to guide the mind and achieve a certain mental state.

[0004] Therefore, those skilled in the art provide a method for changing brain waves by integrating audio-visual entrainment with binaural beat technology to achieve the purpose of changing human brain waves. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the shortcomings of the prior art, the present invention provides a method for changing brain waves by integrating audio-visual entrainment with binaural beat technology, which gently stimulates the brain by giving sound pulses with specific tones of different frequencies to the left and right ears and flashes of specific frequencies and colors, thereby generating brain waves that can induce specific psychological states, thereby achieving the change of human brain waves.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A method for changing brain waves by integrating audio-visual entrainment with binaural beat technology, comprising the following steps:

[0010] Step S1. Collecting the user's original brain wave signal;

[0011] Step S2. Analyze and process the brain wave signal to obtain initial characteristic parameters of the brain wave signal;

[0012] Step S3. Using an audio generator to output specific audio, and the audio can be output to the left and right ears of the user;

[0013] Step S4. Using a light frequency generator to output a specific flash frequency, and the flash of this frequency can be output to the user's glasses;

[0014] Step S5. Use a lighting generator to output light of full visible spectrum colors, and the light can act on the user's eyes;

[0015] Step S6. Under the effects of the audio generator, the video generator, and the lighting generator, the user's brain wave signal is collected again, and the brain wave signal is analyzed and processed to obtain the change characteristic parameters of the brain wave signal;

[0016] Step S7. Determine the dynamic changes of the original brain wave signal according to the brain wave signals under the above different stimulation states.

[0017] Furthermore, the user's original brain wave signal specifically includes an original brain wave sequence.

[0018] Furthermore, the analyzing and processing of the brain wave signal in step S2 includes:

[0019] 1) Determine each scale according to the preset scale interval and scale step of the original brain wave sequence;

[0020] 2) calculating the coarse-grained high-order moment brain wave sequence at each scale according to all original brain wave sequences within the scale interval of each scale, the mean of all original brain wave sequences within the scale interval of each scale, the scale interval of each scale and the preset high-order moment order, and the preset high-order moment order is greater than two;

[0021] 3) According to the preset embedding dimension, the preset matching threshold and the coarse-grained high-order moment EEG sequence at each scale, the high-order moment EEG information entropy at each scale is calculated by the high-order moment sample entropy algorithm;

[0022] 4) Calculate the EEG complexity index based on the high-order moment EEG information entropy and complexity algorithm at each scale;

[0023] 5) Obtain a multi-scale high-order moment information entropy set of the original brain waves.

[0024] Further, the scale includes a large scale and a small scale, and the large scale is larger than the small scale.

[0025] Furthermore, determining each scale according to the preset scale interval and scale step of the original brain wave sequence includes: determining each large scale according to a preset large scale interval and large scale step, and determining each small scale according to a preset small scale interval and small scale step.

[0026] Furthermore, the initial characteristic parameters in step S2 include the frequency and amplitude of the brain wave signal within a preset time length.

[0027] Furthermore, the audio generator in step S3 includes three output modes, mode 1 is to output 0-2000 Hz audio to both left and right ears, mode 2 is to output 0-2000 Hz audio only to the left ear, and mode 3 is to output 0-2000 Hz audio only to the right ear.

[0028] Furthermore, the light frequency generator in step S4 includes three output modes, mode 1 is a flash frequency of 0-2000 Hz synchronized with audio output mode 1, mode 2 is a flash frequency of the difference frequency when the left and right audio output frequencies are different, and mode 3 is an independent output flash frequency that can be freely selected between 0-2000 Hz.

[0029] Furthermore, the method of changing brain waves is implemented based on a method that can synchronously output audio and light frequency and light color.

[0030] (III) Beneficial effects

[0031] The present invention provides a method for changing brain waves by integrating audio-visual entrainment with binaural beat technology. It has the following beneficial effects:

[0032] 1. The present invention provides a method for changing brain waves by integrating audio-visual entrainment with binaural beat technology, which can gently stimulate the brain by giving sound pulses with specific tones of different frequencies to the left and right ears and flashes of specific frequencies and colors, thereby generating brain waves that can induce specific psychological states.

[0033] 2. The present invention provides a method for changing brain waves by integrating audio-visual entrainment with binaural beat technology. The method uses a sample entropy analysis system to calculate the high-order moment brain wave information entropy of the original brain wave sequence at each small scale. The sample entropy analysis conforms to the biological characteristics of brain waves, and the analysis results have better correlation, making the brain wave analysis results more accurate. The method also provides the calculation of brain wave complexity indicators, making the calculation results of brain waves more intuitive and efficient. DETAILED DESCRIPTION

[0034] The technical solutions in the specific implementation of the present invention are described clearly and completely below. Obviously, the specific implementation described is only a part of the specific implementation of the present invention, not all of the specific implementation. Based on the specific implementation of the present invention, all other specific implementations obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Specific implementation method:

[0036] The specific embodiment of the present invention provides a method for changing brain waves by integrating audio-visual entrainment with binaural beat technology, comprising the following steps:

[0037] Step S1. Collecting the original brain wave signal of the user, the original brain wave signal of the user specifically includes the original brain wave sequence;

[0038] Step S2. Analyze and process the brain wave signal to obtain initial characteristic parameters of the brain wave signal, including the frequency and amplitude of the brain wave signal within a preset time period;

[0039] Step S3. Use an audio generator to output specific audio, and the audio can be output to the left and right ears of the user. The audio generator includes three output modes: mode 1 is to output 0-2000Hz audio to both left and right ears, mode 2 is to output 0-2000Hz audio only to the left ear, and mode 3 is to output 0-2000Hz audio only to the right ear;

[0040] Step S4. A light frequency generator is used to output a specific flash frequency, and the flash of this frequency can be output to the user's glasses. The light frequency generator includes three output modes: mode 1 is a flash frequency of 0-2000 Hz synchronized with audio output mode 1; mode 2 is a flash frequency of the difference frequency when the left and right audio output frequencies are different; mode 3 is an independent output flash frequency that can be freely selected between 0-2000 Hz;

[0041] Step S5. Use a lighting generator to output light of full visible spectrum colors, and the light can act on the user's eyes;

[0042] Step S6. Under the effects of the audio generator, the video generator, and the lighting generator, the user's brain wave signal is collected again, and the brain wave signal is analyzed and processed to obtain the change characteristic parameters of the brain wave signal;

[0043] Step S7. Determine the dynamic changes of the original brain wave signal according to the brain wave signals under the above different stimulation states.

[0044] The step S2 of analyzing and processing the brain wave signal includes:

[0045] 1) Determine each scale according to the preset scale interval and scale step of the original brain wave sequence;

[0046] 2) calculating the coarse-grained high-order moment brain wave sequence at each scale according to all original brain wave sequences within the scale interval of each scale, the mean of all original brain wave sequences within the scale interval of each scale, the scale interval of each scale and the preset high-order moment order, and the preset high-order moment order is greater than two;

[0047] 3) According to the preset embedding dimension, the preset matching threshold and the coarse-grained high-order moment EEG sequence at each scale, the high-order moment EEG information entropy at each scale is calculated by the high-order moment sample entropy algorithm;

[0048] 4) Calculate the EEG complexity index based on the high-order moment EEG information entropy and complexity algorithm at each scale;

[0049] 5) Obtain a multi-scale high-order moment information entropy set of the original brain waves.

[0050] The scale includes a large scale and a small scale, and the large scale is larger than the small scale.

[0051] Determining each scale according to the preset scale interval and scale step of the original brain wave sequence includes: determining each large scale according to the preset large scale interval and large scale step, and determining each small scale according to the preset small scale interval and small scale step.

[0052] The method of changing brain waves is based on a method that can synchronize the output of audio and light frequencies and light colors.

[0053] In the present invention, the method can gently stimulate the brain by giving sound pulses with specific tones of different frequencies to the left and right ears and flashes of specific frequencies and colors, thereby generating brain waves that can induce specific psychological states.

[0054] In the present invention, a sample entropy analysis system is used to calculate the high-order moment brain wave information entropy of the original brain wave sequence at each small scale, and the analysis of sample entropy conforms to the biological characteristics of brain waves, and the analysis results have better correlation, making the analysis results of brain waves more accurate, and also providing the calculation of brain wave complexity index, making the calculation results of brain waves more intuitive and efficient.

[0055] Although specific embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the specific embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for changing brain waves by integrating audio-visual entrainment with binaural beats technology, characterized in that: The following steps are involved: Step S1. Collecting the user's original brain wave signal; Step S2. Analyze and process the brain wave signal to obtain initial characteristic parameters of the brain wave signal; Step S3. Using an audio generator to output specific audio, and the audio can be output to the left and right ears of the user; Step S4. Using a light frequency generator to output a specific flash frequency, and the flash of this frequency can be output to the user's glasses; Step S5. Use a lighting generator to output light of full visible spectrum colors, and the light can act on the user's eyes; Step S6. Under the effects of the audio generator, the video generator, and the lighting generator, the user's brain wave signal is collected again, and the brain wave signal is analyzed and processed to obtain the change characteristic parameters of the brain wave signal; Step S7. Determine the dynamic changes of the original brain wave signal according to the brain wave signals under the above different stimulation states.

2. A method of changing brain waves by integrating audio-visual entrainment with binaural beats technology according to claim 1, characterized in that: The user's original brain wave signal specifically includes an original brain wave sequence.

3. The method of changing brain waves by integrating audio-visual entrainment with binaural beats technology according to claim 1, characterized in that: The step S2 of analyzing and processing the brain wave signal includes: 1) Determine each scale according to the preset scale interval and scale step of the original brain wave sequence; 2) calculating the coarse-grained high-order moment brain wave sequence at each scale according to all original brain wave sequences within the scale interval of each scale, the mean of all original brain wave sequences within the scale interval of each scale, the scale interval of each scale and the preset high-order moment order, and the preset high-order moment order is greater than two; 3) According to the preset embedding dimension, the preset matching threshold and the coarse-grained high-order moment EEG sequence at each scale, the high-order moment EEG information entropy at each scale is calculated by the high-order moment sample entropy algorithm; 4) Calculate the EEG complexity index based on the high-order moment EEG information entropy and complexity algorithm at each scale; 5) Obtain a multi-scale high-order moment information entropy set of the original brain waves.

4. A method of changing brain waves by integrating audio-visual entrainment with binaural beats technology according to claim 3, characterized in that: The scale includes a large scale and a small scale, and the large scale is larger than the small scale.

5. The method of changing brain waves by integrating audio-visual entrainment with binaural beats according to claim 3, characterized in that: Determining each scale according to the preset scale interval and scale step of the original brain wave sequence includes: determining each large scale according to the preset large scale interval and large scale step, and determining each small scale according to the preset small scale interval and small scale step.

6. The method of changing brain waves by integrating audio-visual entrainment with binaural beats technology according to claim 1, characterized in that: The initial characteristic parameters in step S2 include the frequency and amplitude of the brain wave signal within a preset time length.

7. The method of changing brain waves by integrating audio-visual entrainment with binaural beats technology according to claim 1, characterized in that: The audio generator in step S3 includes three output modes: mode 1 is to output 0-2000 Hz audio to both left and right ears; mode 2 is to output 0-2000 Hz audio to only the left ear; and mode 3 is to output 0-2000 Hz audio to only the right ear.

8. The method of changing brain waves by integrating audio-visual entrainment with binaural beats technology according to claim 1, characterized in that: The light frequency generator in step S4 includes three output modes. Mode 1 is a flash frequency of 0-2000 Hz synchronized with audio output mode 1. Mode 2 is a flash frequency of the difference frequency when the left and right audio output frequencies are different. Mode 3 is an independent output flash frequency that can be freely selected between 0-2000 Hz.

9. The method of changing brain waves by integrating audio-visual entrainment with binaural beats technology according to claim 1, characterized in that: The method of changing brain waves is based on a method that can synchronously output audio and light frequency and light color.