A method for analyzing emotional state based on brain waves

Abstract

The present invention relates to the technical field of emotion analysis, and specifically to a method for analyzing emotional states based on brain waves: nine brain wave signals of the human body are collected, and the nine wave types are Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. Compared with the five traditional wave types of Delta, Theta, Alpha, Beta and Gamma used to evaluate human emotions in brain waves, the two wave types of Alpha and Beta are further subdivided into three wave types of low, medium and high according to different wave value ranges, which can more specifically express the emotional state. Nine brain waves are measured and a computational model is constructed to analyze the current emotional state of the human body and the emotional changes after being stimulated by certain external stimuli.

Description

Technical Field

[0001] The present invention relates to the technical field of emotion analysis, in particular to a method for analyzing emotional states based on brain waves. Background Art

[0002] Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indicators. When the brain is active, the postsynaptic potentials of a large number of neurons are formed by summing up. It records the changes in electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the cerebral cortex or scalp surface. Modern scientific research shows that the human brain produces spontaneous electrophysiological activities when it is working, which can be expressed in the form of brain waves through a dedicated electroencephalogram recorder. In EEG research, there are at least four important bands, namely δ (1-3Hz), θ (4-7Hz), α (8-14Hz), and β (12.5-28Hz). In addition, when awake and focusing on something, a γ wave with a higher frequency than the β wave can often be seen, with a frequency greater than 28Hz and an uncertain amplitude range; and other normal brain waves with more special waveforms may also appear during sleep, such as hump waves, σ waves, λ waves, μ waves, etc.

[0003] Patent CN108042145A discloses an emotional state recognition method and system, and an emotional state recognition device. The patent extracts brain waves from EEG slices and calculates their energy characteristic information, thereby inputting the support vector machine regression model for sample training to obtain an EEG relaxation characteristic recognition model, and then recognizes the collected user EEG signals, obtains the relaxation level, and determines the emotional state of the user. The patent focuses on five types of brain waves, namely Delta, Theta, Alpha, Beta, and Gamma. It does not show the diversity of emotional states, cannot show a variety of emotional states in a more comprehensive and specific manner, and the analysis method is relatively complicated.

[0004] Theanine has the functions of improving memory, concentration, and brain function, and can quickly enter the nervous system through the blood-brain barrier to produce neuropsychological effects. After taking theanine, people can reduce anxiety and improve cognition within a certain period of time. Therefore, theanine compound drinks can be used as functional base materials and combined with EEG testing to evaluate changes in people's emotional state. Summary of the invention

[0005] The purpose of the present invention is to address the above problems and to provide a method for comprehensively and specifically analyzing emotional states based on brain waves.

[0006] To achieve the above-mentioned purpose, the present invention discloses a method for analyzing emotional state based on brain waves: nine brain wave signals of the human body are collected, and the nine wave types are Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. Compared with the five traditional wave types of Delta, Theta, Alpha, Beta, and Gamma used to evaluate human emotions in brain waves, the two wave types of Alpha and Beta are further divided into three wave types of low, medium and high according to different wave value ranges, namely Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, and Beta-High, which can more specifically express the emotional state. The corresponding ranges of the wave values ​​of the nine brain wave signals are as follows:

[0007] Delta wave corresponds to a wave value range of 1Hz-3Hz;

[0008] Theta waves correspond to a wave value range of 4Hz-7Hz;

[0009] The corresponding wave value range of Alpha-Low wave is 8Hz-9Hz;

[0010] The Alpha-Mid wave corresponds to a wave value range of 9Hz-12Hz;

[0011] The Alpha-High wave corresponds to a wave value range of 12Hz-14Hz;

[0012] Beta-Low waves correspond to a wave value range of 12.5Hz-16Hz;

[0013] The Beta-Mid wave corresponds to a wave value range of 16.5Hz-20Hz;

[0014] The Beta-High wave corresponds to a wave value range of 20.5Hz-28Hz;

[0015] The corresponding wave value range of gamma wave is above 28Hz.

[0016] After collecting the brain wave signal, the number of times each wave type occurs during the collection time of the EEG device is counted, and the occurrence rate of each wave type is calculated, that is, the ratio of the number of occurrences of each wave type to the total value of the brain wave.

[0017] The sum of the occurrence rates of the six wave patterns representing focused attention, namely Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High, and Gamma, and their changes over time are counted. The larger the A value, the more focused the attention.

[0018] The statistics of Alpha-Mid and Beta-Low represent the sum of the occurrence rates of the waves when the attention is focused but in a relaxed state, and their changes over time. The larger the B value, the more focused the attention is when the mind is relaxed.

[0019] Statistics of Alpha-High and Beta-Mid represent the sum of the appearance rates of the waves when the attention is focused but in a thinking state, the ratio of Ct to the A value Ct (%), and the change of Ct (%) over time. The larger the Ct (%), the more focused the attention is when thinking. The larger the Ct (%) becomes with time, the more focused the attention is when thinking.

[0020] Statistics of Beta-High and Gamma represent the sum of the occurrence rates of the waves Ch and A when the attention is focused but when doing difficult tasks, as well as the change of Ch(%) over time. The larger the Ch(%), the more focused the attention is when doing difficult tasks. The larger the Ch(%) becomes with time, the more focused the attention is when doing difficult tasks.

[0021] The ratio of the sum of the occurrence rates of Alpha-Mid and Beta-Low, two wave types representing focused but relaxed states, to the A value, Cr (%), as well as the changes in Cr (%) over time were statistically analyzed. The larger the Cr (%), the more focused the attention in a relaxed state. The larger the Cr (%) becomes with time, the more focused the attention is when relaxed.

[0022] Calculate the ratio E of A value to B value,

[0023] E≥1.5, indicating a high level of mental clarity and concentration;

[0024] 1.2≤E<1.5, indicating moderate mental clarity and concentration;

[0025] 1.0≤E<1.2, indicating that the mind is generally clear and focused;

[0026] E<1.0, indicating mental fatigue and sleepiness;

[0027] E ≥ 1 and Cr (%) ≥ 0.5, indicating mental relaxation, quietness and clarity;

[0028] E ≥ 1 and Ct (%) ≥ 0.5, indicating mental alertness, concentration, and clarity;

[0029] E≥1 and Ch(%)≥0.5 indicate mental tension, excitement and clarity.

[0030] The ratio E of A value to B value can clearly analyze a person's current mental state.

[0031] Preferably, the EEG device collects wave value data for each waveform type for 3 seconds each time, and the EEG device outputs 245 points per second, that is, the EEG device collects 245 wave value data per second, and collects 735 wave value data for each waveform type each time.

[0032] Preferably, the EEG device collects the wave value data of each wave type three times, once every one minute. When collecting three times, the occurrence rate of each wave type can be the ratio of the total occurrence rate of each wave type in the three collections to the total value of the EEG wave; the single occurrence rate of each wave type in each collection can also be calculated separately, and then the single occurrence rate of the three signal collections is averaged to obtain the occurrence rate of each wave type. The specific calculation method can be selected according to the actual situation and is not specifically limited here.

[0033] By detecting the occurrence rates of nine brain wave types and their changes over time, it is possible to analyze the current emotional state of the human body and the emotional changes after being stimulated by certain external factors (such as after taking functional food and drink, after changing from calm to busy, or after changes in work status, etc.). The present invention uses the intake of theanine functional drinks to analyze the changes in people's emotional states. Among them, Delta waves usually appear in deep sleep or unconsciousness. Combined with the time points of collecting brain waves and the occurrence rate of Delta in the experiment implemented by the present invention, it is found that this waveform has not appeared in the entire experimental process, so this waveform is not included in the subsequent data statistical analysis.

[0034] The appearance of the six wave types, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High, and Gamma, represents a state of concentration. As time goes on, the total A value of the appearance rate of these six wave types in the experimental group (i.e., those consuming theanine complex base beverage) first increases and then decreases, and reaches the highest point at 50 minutes, which is consistent with the time of the highest blood oxygen concentration level of tea polyphenols in the report, which means that the intake of functional drinks can improve people's attention and concentration.

[0035] The appearance of Theta and Alpha-Low wave types indicates a tendency to fatigue and sleepiness. As time goes on, the total B value of the appearance rate of these two wave types in the negative control group (i.e., drinking water intake) gradually increases, while the total A value of the appearance rate of Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High, and Gamma wave types representing the state of concentration basically shows a downward trend. This reflects to a certain extent that the mental state becomes more and more tired after a period of time without consuming functional drinks.

[0036] The brain waves that appeared in the positive control group (i.e. those drinking Red Bull functional drink) were basically Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High, and Gamma, six types of waves representing the state of concentration. This reflects to a certain extent that the positive control drink (Red Bull functional drink) has the effect of improving attention and concentration.

[0037] As time went on, the negative control group, which only drank water, saw a gradual increase in the sum of the B value of the brain wave patterns indicating drowsiness, while the sum of the A value of the brain wave patterns indicating concentration gradually decreased. The experimental group, which drank drinks containing theanine complex base, saw an increase in the A value, which reached its highest point at 50 minutes, and then began to decrease. The B value gradually decreased, reaching its lowest point at 50 minutes or 60 minutes, and then gradually increased. The changes in the brain wave patterns of the positive control group, which drank Red Bull functional drinks, were similar to those of the experimental group.

[0038] Compared with the traditional belief that the appearance of Alpha waves represents a state of relaxation and concentration, the present invention proposes a more detailed new method for evaluating the emotional state of biological individuals. Among them, the two wave types of Alpha-Mid and Beta-Low will appear when the biological individual is concentrating but in a relaxed state; the two wave types of Alpha-High and Beta-Mid will appear when the biological individual is concentrating but in a thinking state; the two wave types of Beta-High and Gamma will appear when the biological individual is concentrating but engaged in difficult work.

[0039] Among the six waves representing the state of concentration, namely Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma, compared with the negative control group, after taking the theanine compound base beverage, the ratio of the sum of the occurrence rates of Alpha-Mid and Beta-Low Cr to the A value Cr (%), the ratio of the sum of the occurrence rates of Alpha-High and Beta-Mid Ct to the A value Ct (%), and the ratio of the sum of the occurrence rates of Beta-High and Gamma Ch to the A value Ch (%) all changed to varying degrees. Among them, compared with the negative control group, the ratio of the sum of the occurrence rates of Alpha-High and Beta-Mid to A Ct (%) and the ratio of the sum of the occurrence rates of Beta-High and Gamma to A Ch (%) increased to varying degrees, indicating that the theanine compound base beverage can not only improve the individual's attention when relaxing, but also improve the individual's attention when thinking and doing difficult work. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a graph showing changes in A values ​​and B values ​​of different groups over time in the first embodiment;

[0041] Figure 2 is a graph showing changes in Cr (%) values, Ct (%) values, and Ch (%) values ​​of different groups over time in the first embodiment;

[0042] Figure 3 is a graph showing changes in A values ​​and B values ​​of different groups over time in the second embodiment;

[0043] Figure 4 is a graph showing changes in Cr (%) values, Ct (%) values, and Ch (%) values ​​of different groups over time in the second embodiment;

[0044] Figure 5 is a graph showing changes in A values ​​and B values ​​of different groups over time in the third embodiment;

[0045] Figure 6 is a graph showing changes in Cr (%) values, Ct (%) values, and Ch (%) values ​​of different groups over time in the third embodiment;

[0046] Figure 7 It is a correspondence chart between nine types of brain waves, bands and mental states. DETAILED DESCRIPTION

[0047] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0048] First embodiment:

[0049] 1. Take 1.0g of theanine, 50mg of tea polyphenols, and 10mg of monk fruit extract, add water to dissolve to a total volume of 200mL to prepare a theanine composite base drink.

[0050] 2. On the first day, volunteers took in 200 mL of drinking water as the blank control group. At 0min, 40min, 50min, 60min, 70min and 80min after taking in drinking water, the EEG equipment collected nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0051] 3. On the second day, the volunteers who ingested 200 mL of theanine compound base drink were used as the experimental group. At 0min, 40min, 50min, 60min, 70min and 80min after ingesting the theanine compound base drink, the EEG equipment was used to collect nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0052] 4. Three days after step 3, volunteers took 200 mL of Red Bull functional drink as the positive control group. At 0min, 40min, 50min, 60min, 70min and 80min after taking the Red Bull functional drink, the EEG equipment collected nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0053] 5. Count the number of times each wave type appears in the following bands for different groups at different acquisition times: Delta (1-3Hz), Theta (4-7Hz), Alpha-Low (8-9Hz), Alpha-Mid (9-12Hz), Alpha-High (12-14Hz), Beta-Low (12.5-16Hz), Beta-Mid (16.5-20Hz), Beta-High (20.5-28Hz) and Gamma (above 28Hz), and calculate the mean of the number of occurrences, i.e., δ, θ, α L , α M , α H , β L , β M , β H , γ.

[0054] 6. The EEG device outputs 245 points per second, that is, 245 data points are collected by the device in 1 second. Each waveform is collected for 3 seconds, and a total of 735 wave value data are collected. According to steps 2-5, calculate the proportion of the average number of occurrences of each waveform in the total wave value 735, and record it as the occurrence rate of each waveform, that is, δ (%), θ (%), α L (%)、α M (%)、α H (%)、β L (%)、β M(%)、β H (%)、γ(%)。

[0055]

[0056] 7. The appearance of the six wave types, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High, and Gamma, represents a state of concentration, and the total appearance rate of these six wave types is recorded as A; the appearance of the two wave types, Theta and Alpha-Low, indicates a tendency towards fatigue and sleepiness, and the total appearance rate of these two wave types is recorded as B; the changes in emotional state are measured and analyzed by the changes in A and B values ​​over time.

[0057] 8. When the biological individual is focused but in a relaxed state, two wave patterns, Alpha-Mid and Beta-Low, will appear. Count α according to step 6. M (%) and β L The sum of (%) is recorded as Cr; when the biological individual is focused but in a thinking state, the two wave types Alpha-High and Beta-Mid will appear. According to step 6, α H (%) and β M The sum of (%) is recorded as Ct; the biological individual is focused, but when doing difficult work, the two wave types of Beta-High and Gamma will appear. According to step 6, the β H The sum of (%) and γ (%) is denoted as Ch.

[0058] 9. Calculate the proportion of Cr, Ct and Ch in the A value respectively, and record them as Cr (%), Ct (%) and Ch (%).

[0059]

[0060] like Figure 1 and Figure 7 As shown, as time goes by, the sum of the B value of the EEG wave pattern appearance rate indicating drowsiness in the negative control group gradually increases, and the sum of the A value of the EEG wave pattern appearance rate indicating concentration gradually decreases; the sum of the A value of the EEG wave pattern appearance rate indicating concentration in the experimental group gradually increases, and reaches the highest point at 50 minutes, and then begins to decrease, and the sum of the B value of the EEG wave pattern appearance rate indicating drowsiness gradually decreases, reaches the lowest point at 60 minutes, and then gradually increases. The wave pattern changes in the positive control group are similar to those in the experimental group.

[0061] Second embodiment:

[0062] 1. Take 1.5g of theanine, 100mg of tea polyphenols, and 30mg of mogroside, add water to dissolve to a total volume of 200mL to prepare a theanine composite base drink.

[0063] 2. On the first day, volunteers took in 200 mL of drinking water as the blank control group. At 0min, 40min, 50min, 60min, 70min and 80min after taking in drinking water, the EEG equipment collected nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0064] 3. On the second day, the volunteers who ingested 200 mL of theanine compound base drink were used as the experimental group. At 0min, 40min, 50min, 60min, 70min and 80min after ingesting the theanine compound base drink, the EEG equipment was used to collect nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0065] 4. Three days after step 3, volunteers took 200 mL of Red Bull functional drink as the positive control group. At 0min, 40min, 50min, 60min, 70min and 80min after taking the Red Bull functional drink, the EEG equipment collected nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0066] 5. Count the number of times each wave type appears in the following bands in different groups at different acquisition times: Delta (1-3Hz), Theta (4-7Hz), Alpha-Low (8-9Hz), Alpha-Mid (9-12Hz), Alpha-High (12-14Hz), Beta-Low (12.5-16Hz), Beta-Mid (16.5-20Hz), Beta-High (20.5-28Hz) and Gamma (above 28Hz), and calculate the mean number of occurrences, i.e., δ, θ, α L, α M , α H , β L , β M , β H ,γ.

[0067] 6. The EEG device outputs 245 points per second, that is, 245 data points are collected by the device in 1 second. Each waveform is collected for 3 seconds, and a total of 735 wave value data are collected. According to steps 2-5, calculate the proportion of the average number of occurrences of each waveform in the total wave value 735, and record it as the occurrence rate of each waveform, that is, δ (%), θ (%), α L (%)、α M (%)、α H (%)、β L (%)、β M (%)、β H (%)、γ(%)。

[0068]

[0069] 7. The appearance of the six wave types, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High, and Gamma, represents a state of concentration, and the total appearance rate of these six wave types is recorded as A; the appearance of the two wave types, Theta and Alpha-Low, indicates a tendency towards fatigue and sleepiness, and the total appearance rate of these two wave types is recorded as B; the changes in emotional state are measured and analyzed by the changes in A and B values ​​over time.

[0070] 8. When the biological individual is focused but in a relaxed state, two wave patterns, Alpha-Mid and Beta-Low, will appear. Count α according to step 6. M (%) and β L The sum of (%) is recorded as Cr; when the biological individual is focused but in a thinking state, the two wave types Alpha-High and Beta-Mid will appear. According to step 6, α H (%) and β M The sum of (%) is recorded as Ct; the biological individual is focused, but when doing difficult work, the two wave types of Beta-High and Gamma will appear. According to step 6, the β H The sum of (%) and γ (%) is denoted as Ch.

[0071] 9. Calculate the proportion of Cr, Ct and Ch in the A value respectively, and record them as Cr (%), Ct (%) and Ch (%).

[0072]

[0073] like Figure 3 and Figure 7 As shown, as time goes by, the sum of the occurrence rates of the EEG wave patterns indicating drowsiness, B, in the negative control group gradually increases, and the sum of the occurrence rates of the EEG wave patterns indicating concentration, A, gradually decreases; the sum of the occurrence rates of the EEG wave patterns indicating concentration, A, in the experimental group gradually increases, and reaches the highest point at 50 minutes, and then begins to decrease, while the sum of the occurrence rates of the EEG wave patterns indicating drowsiness, B, gradually decreases, reaches the lowest point at 50 minutes, and then gradually increases. The wave pattern changes in the positive control group are similar to those in the experimental group.

[0074] Third embodiment:

[0075] 1. Dissolve 2g of theanine, 150mg of tea polyphenols, and 50mg of monk fruit extract in water to a total volume of 200mL to prepare a theanine composite base drink.

[0076] 2. On the first day, volunteers took in 200 mL of drinking water as the blank control group. At 0min, 40min, 50min, 60min, 70min and 80min after taking in drinking water, the EEG equipment collected nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0077] 3. On the second day, the volunteers who ingested 200 mL of theanine compound base drink were used as the experimental group. At 0min, 40min, 50min, 60min, 70min and 80min after ingesting the theanine compound base drink, the EEG equipment was used to collect nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0078] 4. Three days after step 3, volunteers took 200 mL of Red Bull functional drink as the positive control group. At 0min, 40min, 50min, 60min, 70min and 80min after taking the Red Bull functional drink, the EEG equipment collected nine types of brain waves, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. The collection time for each wave type was 3s, and the waves were collected once every 1min, for a total of 3 times.

[0079] 5. Count the number of times each wave type appears in the following bands for different groups at different acquisition times: Delta (1-3Hz), Theta (4-7Hz), Alpha-Low (8-9Hz), Alpha-Mid (9-12Hz), Alpha-High (12-14Hz), Beta-Low (12.5-16Hz), Beta-Mid (16.5-20Hz), Beta-High (20.5-28Hz) and Gamma (above 28Hz), and calculate the mean of the number of occurrences, i.e., δ, θ, α L , α M , α H , β L , β M , β H , γ.

[0080] 6. The EEG device outputs 245 points per second, that is, 245 data points are collected by the device in 1 second. Each waveform is collected for 3 seconds, and a total of 735 wave value data are collected. According to steps 2-5, calculate the proportion of the average number of occurrences of each waveform in the total wave value 735, and record it as the occurrence rate of each waveform, that is, δ (%), θ (%), α L (%)、α M (%)、α H (%)、β L (%)、β M (%)、β H (%)、γ(%)。

[0081]

[0082] 7. The appearance of the six wave types, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High, and Gamma, represents a state of concentration, and the total appearance rate of these six wave types is recorded as A; the appearance of the two wave types, Theta and Alpha-Low, indicates a tendency towards fatigue and sleepiness, and the total appearance rate of these two wave types is recorded as B; the changes in emotional state are measured and analyzed by the changes in A and B values ​​over time.

[0083] 8. When the biological individual is focused but in a relaxed state, two wave patterns, Alpha-Mid and Beta-Low, will appear. Count α according to step 6. M (%) and β L The sum of (%) is recorded as Cr; when the biological individual is focused but in a thinking state, the two wave types Alpha-High and Beta-Mid will appear. According to step 6, α H(%) and β M The sum of (%) is recorded as Ct; the biological individual is focused, but when doing difficult work, the two wave types of Beta-High and Gamma will appear. According to step 6, the β H The sum of (%) and γ (%) is denoted as Ch.

[0084] 9. Calculate the proportion of Cr, Ct and Ch in the A value respectively, and record them as Cr (%), Ct (%) and Ch (%).

[0085]

[0086] like Figure 5 and Figure 7 It can be seen that as time goes by, the sum of the B value of the brain wave pattern indicating drowsiness in the negative control group gradually increases, and the sum of the A value of the brain wave pattern indicating concentration gradually decreases; the sum of the A value of the brain wave pattern indicating concentration in the experimental group gradually increases, and reaches the highest point at 50 minutes, and then gradually decreases, and the sum of the B value of the brain wave pattern indicating drowsiness gradually decreases, reaches the lowest point at 60 minutes, and then gradually increases. The wave pattern changes in the positive control group are similar to those in the experimental group.

[0087] In the above three embodiments, Figure 2 , 4 As shown in Figures 6 and 7, compared with the negative control group, the ratio of the sum of the appearance rates of Alpha-High and Beta-Mid Ct to the A value Ct (%) and the ratio of the sum of the appearance rates of Beta-High and Gamma Ch to the A value Ch (%) increased to varying degrees, which shows that the base beverage not only improves the individual's attention when relaxing, but also can improve the individual's attention when thinking and doing difficult work.

[0088] Calculate the ratio E of the A value to the B value in the above three embodiments respectively:

[0089] E≥1.5, indicating a high level of mental clarity and concentration;

[0090] 1.2≤E<1.5, indicating moderate mental clarity and concentration;

[0091] 1.0≤E<1.2, indicating that the mind is generally clear and focused;

[0092] E<1.0, indicating mental fatigue and sleepiness;

[0093] When E≥1 and Cr(%)≥0.5, it means the mind is relaxed, quiet and clear;

[0094] E ≥ 1 and Ct (%) ≥ 0.5, indicating mental alertness, concentration, and clarity;

[0095] E≥1 and Ch(%)≥0.5 indicate mental tension, excitement and clarity.

[0096] The E value can analyze a person's current mental state more clearly and directly.

[0097] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention. These improvements and substitutions should also be regarded as the scope of protection of the present invention.

Claims

1. A method for analyzing emotional state based on brain waves, It is characterized in that Collect nine types of human brain wave signals, namely Delta, Theta, Alpha-Low, Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma. After collecting brain wave signals, count the number of times the wave value of each wave type appears within the collection time of the EEG device, and calculate the appearance rate of each wave type, that is, the ratio of the number of occurrences of each wave type to the total output value of the EEG device within the collection time; The sum of the occurrence rates of the six wave patterns representing the concentration of attention, namely Alpha-Mid, Alpha-High, Beta-Low, Beta-Mid, Beta-High and Gamma, and their changes over time are counted. The larger the A value, the more concentrated the attention. The larger the sum of the occurrence rates over time, the more concentrated the attention is. The statistics of Alpha-Mid and Beta-Low represent the sum of the occurrence rates of the waves when the attention is focused but in a relaxed state, and their changes over time. The larger the B value, the more focused the attention is when the mind is relaxed. The sum of the occurrence rates increases with time, which means that the attention is more focused when the mind is relaxed. Statistics of Alpha-High and Beta-Mid indicate the sum of the occurrence rates of the wave patterns when the attention is focused but in a thinking state, the ratio of Ct to A value, and the change of Ct% over time. The larger the Ct%, the more focused the attention is when thinking. The larger the Ct% is as time goes by, the more focused the attention is when thinking. Statistics of Beta-High and Gamma indicate the sum of the occurrence rates of the waves when the attention is focused but when doing difficult work, the ratio of Ch to A, Ch%, and the change of Ch% over time. The larger the Ch%, the more focused the attention is when doing difficult work. The larger the Ch% is over time, the more focused the attention is when doing difficult work. The ratio of the sum of the occurrence rates of Alpha-Mid and Beta-Low, two wave types that represent focused but relaxed states, to the A value, Cr%, and the change of Cr% over time were counted. The larger the Cr%, the more focused the attention in the relaxed state. The larger the Cr% is as time goes by, the more focused the attention is when relaxed. Calculate the ratio E of A value to B value, E≥1.5, indicating a high level of mental clarity and concentration; 1.2≤E<1.5, indicating moderate mental clarity and concentration; 1.0≤E<1.2, indicating that the mind is generally clear and focused; E<1.0, indicating mental fatigue and sleepiness; E≥1 and Cr%≥0.5, indicating mental relaxation, quietness and clarity; E ≥ 1 and Ct% ≥ 0.5, indicating mental alertness, concentration, and clarity; E≥1 and Ch%≥0.5 indicate nervousness, excitement and sobriety.

2. The method for analyzing emotional state based on brain waves as claimed in claim 1, It is characterized in that The EEG device collects the wave value of each waveform for 3 seconds each time, and the EEG device outputs 245 points per second, that is, the EEG device collects 245 wave value data per second, and collects 735 wave value data for each waveform each time.

3. The method for analyzing emotional state based on brain waves as claimed in claim 2, It is characterized in that The EEG device collects wave value data for each waveform three times, once at an interval of one minute.

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