CN113974656A - Meditation evaluation method, device and equipment based on electroencephalogram signals and storage medium - Google Patents
Meditation evaluation method, device and equipment based on electroencephalogram signals and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of electroencephalogram signal processing, in particular to a meditation evaluation method, device, equipment and storage medium based on electroencephalogram signals. The intensity of the electroencephalogram signal of the user can reflect the activity degree of the brain of the user, and the deeper the meditation degree of the user, the smaller the activity degree of the brain of the user is, so that the meditation degree of the user can be obtained through the intensity of the electroencephalogram signal of the user. According to the invention, when the user carries out meditation training, the electroencephalogram signal of the user is collected, the difference between the electroencephalogram signal and the electroencephalogram standard signal is obtained according to the comparison between the electroencephalogram signal and the electroencephalogram standard signal, and the meditation training effect of the user is obtained according to the difference, so that the user can carry out next meditation training according to the meditation training effect.
Description
Technical Field
The invention relates to the technical field of electroencephalogram signal processing, in particular to a meditation evaluation method, device, equipment and storage medium based on electroencephalogram signals.
Background
When the user performs the meditation training, the user judges whether the meditation training is good or not only by subjective feeling, or the surrounding people observe the expression of the user during the meditation training to judge whether the meditation training is good or not.
In summary, the existing evaluation method for meditation training is poor in accuracy.
Thus, there is a need for improvements and enhancements in the art.
Disclosure of Invention
In order to solve the technical problems, the invention provides a meditation evaluation method, a device, equipment and a storage medium based on an electroencephalogram signal, and solves the problem that the existing meditation training evaluation method is poor in accuracy.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a meditation evaluation method based on electroencephalogram signals, which comprises the following steps:
acquiring an electroencephalogram signal of a user to be evaluated;
comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting a set standard;
and obtaining an evaluation result according to the comparison result, wherein the evaluation result is used for reflecting the meditation training effect of the user to be evaluated.
In one implementation, the comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user whose meditation training conforms to a set standard, and the comparing includes:
acquiring an active state, a calm state, a relaxation state and an entrance state corresponding to meditation training, wherein the active state, the calm state, the relaxation state and the entrance state are meditation states which are sequentially reached by the user who meets set standards during meditation training;
according to the electroencephalogram standard signal, acquiring an electroencephalogram standard active signal corresponding to the active state, an electroencephalogram standard calm signal corresponding to the calm state, an electroencephalogram standard relax signal corresponding to the relax state and an electroencephalogram standard entry signal corresponding to the entry state in the electroencephalogram standard signal;
obtaining a first electroencephalogram signal, a second electroencephalogram signal, a third electroencephalogram signal and a fourth electroencephalogram signal in the electroencephalogram signals according to the electroencephalogram signals, wherein the first electroencephalogram signal, the second electroencephalogram signal, the third electroencephalogram signal and the fourth electroencephalogram signal are electroencephalogram signals sequentially generated by a user during meditation training;
comparing the electroencephalogram first signal with the electroencephalogram standard active signal to obtain a first comparison result in the comparison results;
comparing the electroencephalogram second signal with the electroencephalogram standard calm signal to obtain a second comparison result in the comparison results;
comparing the electroencephalogram third signal with the electroencephalogram standard relaxation signal to obtain a third comparison result in the comparison results;
and comparing the fourth electroencephalogram signal with the standard electroencephalogram input signal to obtain a fourth comparison result in the comparison results.
In one implementation manner, the obtaining of the evaluation result according to the comparison result, the evaluation result being used for reflecting the meditation training effect of the user to be evaluated, includes:
comparing the electroencephalogram first signal with the electroencephalogram standard active signal to obtain first coincidence time in a first comparison result, wherein the first coincidence time is the time corresponding to the difference value between the electroencephalogram first signal and the electroencephalogram standard active signal maintained by the user to be evaluated and is smaller than a first set value;
comparing the electroencephalogram second signal with the electroencephalogram standard calm signal to obtain second coincidence time in a second comparison result, wherein the second coincidence time is the time corresponding to the difference value between the electroencephalogram second signal and the electroencephalogram standard calm signal maintained by the user to be evaluated and is smaller than a second set value;
comparing the electroencephalogram third signal with the electroencephalogram standard relaxation signal to obtain a third coincidence time in a third comparison result, wherein the third coincidence time is the time corresponding to the difference value between the electroencephalogram third signal and the electroencephalogram standard relaxation signal maintained by the user to be evaluated and is smaller than a third set value;
comparing the fourth electroencephalogram signal with the electroencephalogram standard entry signal to obtain a fourth coincidence time in a fourth comparison result, wherein the fourth coincidence time is the time for the user to be evaluated to maintain the fourth electroencephalogram signal to be in a state that the difference value between the fourth electroencephalogram signal and the electroencephalogram standard entry signal is smaller than a fourth set value;
and obtaining an evaluation result according to the first coincidence time, the second coincidence time, the third coincidence time and the fourth coincidence time.
In one implementation, the obtaining an evaluation result according to the first coincidence time, the second coincidence time, the third coincidence time, and the fourth coincidence time includes:
acquiring the total time for the meditation training of the user to be evaluated;
adding the first coincidence time, the second coincidence time, the third coincidence time and the fourth coincidence time to obtain coincidence state time;
and taking the ratio of the coincidence state time to the total time as an evaluation result.
In one implementation, the method further comprises:
when the difference value of the electroencephalogram first signal and the electroencephalogram standard active signal is larger than or equal to a first set value, a first prompt tone is obtained;
when the difference value between the electroencephalogram second signal and the electroencephalogram standard calm signal is larger than or equal to a second set value, a second prompt tone is obtained;
when the difference value of the electroencephalogram third signal and the electroencephalogram standard relaxation signal is larger than or equal to a third set value, a third prompt tone is obtained;
and when the difference value of the fourth electroencephalogram signal and the standard electroencephalogram input signal is larger than or equal to a fourth set value, a fourth prompt tone is obtained.
In one implementation, the comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user whose meditation training conforms to a set standard, and the comparing includes:
drawing a curve corresponding to the electroencephalogram signal by taking the time corresponding to the electroencephalogram signal generated by the user to be evaluated as an abscissa and taking the intensity corresponding to the electroencephalogram signal as an ordinate;
drawing a standard curve corresponding to the electroencephalogram standard signal;
applying an Euclidean distance algorithm to the curve corresponding to the electroencephalogram signal and the standard curve to obtain the similarity between the curve corresponding to the electroencephalogram signal and the standard curve;
and obtaining a comparison result according to the similarity.
In one implementation, the method further comprises:
obtaining a sample user matched with the user to be evaluated;
collecting each electroencephalogram sample signal corresponding to the sample user during multiple meditation exercises;
and averaging all the electroencephalogram sample signals to obtain an electroencephalogram standard signal.
In a second aspect, the embodiment of the present invention further provides an apparatus based on the electroencephalogram signal meditation evaluation method, wherein the apparatus includes the following components:
the signal acquisition module is used for acquiring the electroencephalogram signals of a user to be evaluated by the user;
the signal processing module is used for comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting a set standard;
and the evaluation module is used for obtaining an evaluation result according to the comparison result, and the evaluation result is used for reflecting the meditation training effect of the user to be evaluated.
In a third aspect, the present invention further provides a terminal device, wherein the terminal device includes a memory, a processor, and a electroencephalogram signal meditation evaluation program stored in the memory and executable on the processor, and when the processor executes the electroencephalogram signal meditation evaluation program, the steps of the electroencephalogram signal meditation evaluation method are implemented.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which the electroencephalogram signal meditation evaluation program is stored, and when the electroencephalogram signal meditation evaluation program is executed by a processor, the steps of the electroencephalogram signal meditation evaluation method are implemented.
Has the advantages that: the intensity of the electroencephalogram signal of the user can reflect the activity degree of the brain of the user, and the deeper the meditation degree of the user, the smaller the activity degree of the brain of the user is, so that the meditation degree of the user can be obtained through the intensity of the electroencephalogram signal of the user. According to the invention, when the user carries out meditation training, the electroencephalogram signal of the user is collected, the difference between the electroencephalogram signal and the electroencephalogram standard signal is obtained according to the comparison between the electroencephalogram signal and the electroencephalogram standard signal, and the meditation training effect of the user is obtained according to the difference, so that the user can carry out next meditation training according to the meditation training effect.
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FIG. 1 is an overall flow chart of the present invention;
fig. 2 is a schematic block diagram of an internal structure of a terminal device according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is clearly and completely described below by combining the embodiment and the attached drawings of the specification. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The research shows that when the user carries out meditation training, the user only judges whether the meditation training is good or not according to subjective feeling, or surrounding people observe the expression of the user when carrying out meditation training to judge whether the meditation training is good or not, and the two judgments of the meditation training result are from subjective feeling, so that the accuracy of the obtained evaluation result aiming at the meditation training of the user is poor.
In order to solve the technical problems, the invention provides a meditation evaluation method, a device, equipment and a storage medium based on an electroencephalogram signal, and solves the problem that the existing meditation training evaluation method is poor in accuracy. When the meditation training is carried out by the user, the electroencephalogram signals of the user are collected, the difference between the electroencephalogram signals and the standard electroencephalogram signals is obtained according to the comparison between the electroencephalogram signals and the standard electroencephalogram signals, and the meditation training effect of the user is obtained according to the difference, so that the user can carry out the next meditation training according to the meditation training effect.
For example, the user a is a person who performs meditation training for a long time, and the electroencephalogram signals generated by the user a during the meditation training can be used as a standard for judging whether the electroencephalogram signals generated by other users during meditation meet the standard or not. In the embodiment, when the meditation training of the user B to be evaluated is evaluated, the electroencephalogram signal generated by the user B is compared with the electroencephalogram signal of the user A, and if the electroencephalogram signal of the user B is obviously deviated from the electroencephalogram signal of the user A, the meditation training effect of the user B is poor.
Exemplary method
The electroencephalogram signal meditation evaluation method can be applied to terminal equipment, and the terminal equipment can be terminal products with a voice playing function, such as televisions, computers, mobile phones and the like. In this embodiment, as shown in fig. 1, the electroencephalogram signal based meditation evaluation method specifically includes the following steps:
and S100, acquiring the electroencephalogram signals of the user to be evaluated.
In the embodiment, when the user to be evaluated carries out meditation training, the electroencephalogram head ring is worn on the head of the user to be evaluated so as to collect the electroencephalogram signals of the user to be evaluated.
S200, comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting set standards.
In the embodiment, when the acquired electroencephalogram signal of the user to be evaluated is stable in a certain interval, the stable electroencephalogram signal is compared with the electroencephalogram standard signal, if the meditation training is started just after the user to be evaluated performs the violent exercise, the fluctuation of the electroencephalogram signal is large, and the electroencephalogram signal cannot represent the electroencephalogram signal of the user to be evaluated during the meditation training, so that the electroencephalogram signal is deleted. Step S200 includes steps S201, S202, S203, S204, S205, S206, S207 as follows:
s201, acquiring an active state, a calm state, a relax state and an entrance state corresponding to meditation training, wherein the active state, the calm state, the relax state and the entrance state are meditation states which are sequentially reached by the user who meets set standards during meditation training.
In the standard meditation training, the user enters an active state, a calm state, a relax state and an entrance state in sequence, wherein the active state is the worst meditation state, and the entrance state is the best meditation state.
S202, according to the electroencephalogram standard signal, acquiring an electroencephalogram standard active signal corresponding to the active state, an electroencephalogram standard calm signal corresponding to the calm state, an electroencephalogram standard relax signal corresponding to the relax state and an electroencephalogram standard entrance signal corresponding to the entrance state in the electroencephalogram standard signal.
The electroencephalogram standard signal is an electroencephalogram signal generated by a sample user according to a time sequence when the meditation training is carried out. The electroencephalogram standard signals are divided according to electroencephalogram signals corresponding to an active state, a calm state, a relax state and an entering fixed state, and then the electroencephalogram standard active signal, the electroencephalogram standard calm signal, the electroencephalogram standard relax signal and the electroencephalogram standard entering fixed signal are obtained.
For example, the following steps are carried out: the sample user is in an active state in the first minute, a calm state in the second minute, a relaxed state in the third minute and an established state in the fourth minute when the meditation training is started, the corresponding range of the electroencephalogram signal intensity in the first minute is a (electroencephalogram standard active signal), the corresponding range of the electroencephalogram signal intensity in the second minute is b (electroencephalogram standard calm signal), the corresponding range of the electroencephalogram signal intensity in the third minute is c (electroencephalogram standard relaxed signal) and the corresponding range of the electroencephalogram signal intensity in the fourth minute is d (electroencephalogram standard established signal).
S203, obtaining a first electroencephalogram signal, a second electroencephalogram signal, a third electroencephalogram signal and a fourth electroencephalogram signal in the electroencephalogram signals according to the electroencephalogram signals, wherein the first electroencephalogram signal, the second electroencephalogram signal, the third electroencephalogram signal and the fourth electroencephalogram signal are electroencephalogram signals sequentially generated by a user during meditation training.
The time (relative time for starting meditation training) generated by the first electroencephalogram signal, the second electroencephalogram signal, the third electroencephalogram signal and the fourth electroencephalogram signal corresponds to the time generated by the standard electroencephalogram active signal, the standard electroencephalogram calm signal, the standard electroencephalogram relax signal and the standard electroencephalogram entrance signal. For example, the electroencephalogram standard active signal is an electroencephalogram signal corresponding to the first minute for the sample user to start meditation training, and the electroencephalogram first signal is also an electroencephalogram signal corresponding to the first minute for the user to be evaluated to start meditation training.
S204, comparing the electroencephalogram first signal with the electroencephalogram standard active signal to obtain a first comparison result in the comparison results.
The electroencephalogram signals generated by the user to be evaluated in the first time period (such as the first minute) for starting the meditation training are recorded as first electroencephalogram signals, and the standard active electroencephalogram signals are also the electroencephalogram signals generated by the sample user in the first time period for starting the meditation training. The first time period of the user to be evaluated corresponds to the first time period of the sample user.
And calculating the corresponding time when the electroencephalogram first signal is matched with the electroencephalogram standard active signal in the first time period (at the corresponding moment, the difference value between the electroencephalogram first signal and the electroencephalogram standard active signal is less than a first set value), and recording as the first matching time.
For example, the first time period is one minute, and in this minute, the difference between the electroencephalogram first signal and the electroencephalogram standard active signal in the tenth to twentieth seconds is smaller than the first set value, and the first coincidence time is ten seconds.
In the embodiment, the difference value between the electroencephalogram first signal and the electroencephalogram standard active signal is larger than or equal to the first set value, the APP for meditation training sends out the first prompt tone, and the user to be evaluated is told in real time at which time the meditation training is not in accordance with the standard, so that the user to be evaluated can adjust himself in time to better perform meditation training. The first prompt sound may be a piece of light music or may be a vibrating sound.
S205, comparing the electroencephalogram second signal with the electroencephalogram standard calm signal to obtain a second comparison result in the comparison results.
In the same manner as in step S204, the second coincidence time (second comparison result) is calculated, and a second prompt sound is emitted, wherein the volume of the second prompt sound is smaller than that of the first prompt sound, because the second electroencephalogram signal of the user to be evaluated corresponds to a calm state and the first electroencephalogram signal corresponds to an active state, and the meditation degree of the user to be evaluated is deepened relative to the active state, and the prompt sound with a small volume can not only inform the user to be evaluated that the meditation training at the moment does not meet the standard, but also prevent the prompt sound with a large volume from interfering with the meditation training of the user to be evaluated.
S206, comparing the third electroencephalogram signal with the standard electroencephalogram relaxation signal to obtain a third comparison result in the comparison results.
In the same manner as in step S204, a third coincidence time (third comparison result) is calculated to obtain a third warning sound, and the volume of the third warning sound is smaller than the volume of the second warning sound.
And S207, comparing the fourth electroencephalogram signal with the standard electroencephalogram input signal to obtain a fourth comparison result in the comparison results.
In the same manner as in step S204, a fourth coincidence time (fourth comparison result) is calculated to obtain a fourth warning sound, and the volume of the fourth warning sound is smaller than the volume of the third warning sound.
And S300, obtaining an evaluation result according to the comparison result, wherein the evaluation result is used for reflecting the meditation training effect of the user to be evaluated.
In this embodiment, an evaluation result is obtained according to the first coincidence time, the second coincidence time, the third coincidence time, and the fourth coincidence time.
And adding the first coincidence time, the second coincidence time, the third coincidence time and the fourth coincidence time to obtain the coincidence state time, and solving the ratio of the coincidence state time to the total time, wherein the ratio is the evaluation result. The total time is the time for the user to be evaluated to start the meditation training and finish the entering state.
In this embodiment, in addition to obtaining the evaluation result through the ratio of the coincidence time to the total time in steps S201 to S207, the acquired electroencephalogram signal of the user to be evaluated may be plotted into a curve, that is, the electroencephalogram signal of the user to be evaluated at each time is marked in the coordinates, the points in the coordinates form a curve, the curve of the user to be evaluated is compared with the curve corresponding to the standard electroencephalogram signal, and if the two curves are close to coincide, the evaluation result for the user to be evaluated is better. Meanwhile, an evaluation result can be obtained according to the slope difference of corresponding points on the two curves.
The embodiment can enable the user to be evaluated to perform meditation training in different time periods of a day to obtain the evaluation results of each time period, and perform statistical analysis on the evaluation results to obtain which time period of the day the user to be evaluated performs meditation training in.
In summary, the intensity of the electroencephalogram signal of the user can reflect the activity degree of the brain of the user, and the deeper the intensity of the meditation degree of the user, the smaller the activity degree of the brain of the user, so that the meditation degree of the user can be known through the intensity of the electroencephalogram signal of the user. According to the invention, when the user carries out meditation training, the electroencephalogram signal of the user is collected, the difference between the electroencephalogram signal and the electroencephalogram standard signal is obtained according to the comparison between the electroencephalogram signal and the electroencephalogram standard signal, and the meditation training effect of the user is obtained according to the difference, so that the user can carry out next meditation training according to the meditation training effect.
Exemplary devices
The embodiment also provides a device based on the electroencephalogram signal meditation evaluation method, which comprises the following components:
the signal acquisition module is used for acquiring the electroencephalogram signals of a user to be evaluated by the user;
the signal processing module is used for comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting a set standard;
and the evaluation module is used for obtaining an evaluation result according to the comparison result, and the evaluation result is used for reflecting the meditation training effect of the user to be evaluated.
Based on the above embodiments, the present invention further provides a terminal device, and a schematic block diagram thereof may be as shown in fig. 2. The terminal equipment comprises a processor, a memory, a network interface, a display screen and a temperature sensor which are connected through a system bus. Wherein the processor of the terminal device is configured to provide computing and control capabilities. The memory of the terminal equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a method. The display screen of the terminal equipment can be a liquid crystal display screen or an electronic ink display screen, and the temperature sensor of the terminal equipment is arranged in the terminal equipment in advance and used for detecting the operating temperature of the internal equipment.
It will be understood by those skilled in the art that the block diagram of fig. 2 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the terminal device to which the solution of the present invention is applied, and a specific terminal device may include more or less components than those shown in the figure, or may combine some components, or have different arrangements of components.
In one embodiment, a terminal device is provided, the terminal device includes a memory, a processor and a brain electrical signal meditation-based evaluation program stored in the memory and executable on the processor, and when the processor executes the brain electrical signal meditation-based evaluation program, the following operation instructions are implemented:
acquiring an electroencephalogram signal of a user to be evaluated;
comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting a set standard;
and obtaining an evaluation result according to the comparison result, wherein the evaluation result is used for reflecting the meditation training effect of the user to be evaluated.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the invention discloses a meditation evaluation method, device, equipment and storage medium based on electroencephalogram signals, wherein the method comprises the following steps: acquiring an electroencephalogram signal of a user to be evaluated; comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting a set standard; and obtaining an evaluation result according to the comparison result, wherein the evaluation result is used for reflecting the meditation training effect of the user to be evaluated. According to the invention, when the user carries out meditation training, the electroencephalogram signal of the user is collected, the difference between the electroencephalogram signal and the electroencephalogram standard signal is obtained according to the comparison between the electroencephalogram signal and the electroencephalogram standard signal, and the meditation training effect of the user is obtained according to the difference, so that the user can carry out next meditation training according to the meditation training effect.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A meditation evaluation method based on electroencephalogram signals is characterized by comprising the following steps:
acquiring an electroencephalogram signal of a user to be evaluated;
comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting a set standard;
and obtaining an evaluation result according to the comparison result, wherein the evaluation result is used for reflecting the meditation training effect of the user to be evaluated.
2. The meditation evaluation method based on electroencephalogram signals as claimed in claim 1, wherein the comparing of the electroencephalogram signals with standard electroencephalogram signals to obtain a comparison result, wherein the standard electroencephalogram signals are generated by users with meditation training meeting set standards, and the method comprises the following steps:
acquiring an active state, a calm state, a relaxation state and an entrance state corresponding to meditation training, wherein the active state, the calm state, the relaxation state and the entrance state are meditation states which are sequentially reached by the user who meets set standards during meditation training;
according to the electroencephalogram standard signal, acquiring an electroencephalogram standard active signal corresponding to the active state, an electroencephalogram standard calm signal corresponding to the calm state, an electroencephalogram standard relax signal corresponding to the relax state and an electroencephalogram standard entry signal corresponding to the entry state in the electroencephalogram standard signal;
obtaining a first electroencephalogram signal, a second electroencephalogram signal, a third electroencephalogram signal and a fourth electroencephalogram signal in the electroencephalogram signals according to the electroencephalogram signals, wherein the first electroencephalogram signal, the second electroencephalogram signal, the third electroencephalogram signal and the fourth electroencephalogram signal are electroencephalogram signals sequentially generated by a user during meditation training;
comparing the electroencephalogram first signal with the electroencephalogram standard active signal to obtain a first comparison result in the comparison results;
comparing the electroencephalogram second signal with the electroencephalogram standard calm signal to obtain a second comparison result in the comparison results;
comparing the electroencephalogram third signal with the electroencephalogram standard relaxation signal to obtain a third comparison result in the comparison results;
and comparing the fourth electroencephalogram signal with the standard electroencephalogram input signal to obtain a fourth comparison result in the comparison results.
3. The electroencephalogram signal meditation evaluation method as claimed in claim 2, wherein the obtaining of an evaluation result according to the comparison result, the evaluation result being used for reflecting the meditation training effect of the user to be evaluated, comprises:
comparing the electroencephalogram first signal with the electroencephalogram standard active signal to obtain first coincidence time in a first comparison result, wherein the first coincidence time is the time corresponding to the difference value between the electroencephalogram first signal and the electroencephalogram standard active signal maintained by the user to be evaluated and is smaller than a first set value;
comparing the electroencephalogram second signal with the electroencephalogram standard calm signal to obtain second coincidence time in a second comparison result, wherein the second coincidence time is the time corresponding to the difference value between the electroencephalogram second signal and the electroencephalogram standard calm signal maintained by the user to be evaluated and is smaller than a second set value;
comparing the electroencephalogram third signal with the electroencephalogram standard relaxation signal to obtain a third coincidence time in a third comparison result, wherein the third coincidence time is the time corresponding to the difference value between the electroencephalogram third signal and the electroencephalogram standard relaxation signal maintained by the user to be evaluated and is smaller than a third set value;
comparing the fourth electroencephalogram signal with the electroencephalogram standard entry signal to obtain a fourth coincidence time in a fourth comparison result, wherein the fourth coincidence time is the time for the user to be evaluated to maintain the fourth electroencephalogram signal to be in a state that the difference value between the fourth electroencephalogram signal and the electroencephalogram standard entry signal is smaller than a fourth set value;
and obtaining an evaluation result according to the first coincidence time, the second coincidence time, the third coincidence time and the fourth coincidence time.
4. The electroencephalogram signal meditation evaluation method of claim 3, wherein obtaining an evaluation result according to the first coincidence time, the second coincidence time, the third coincidence time and the fourth coincidence time comprises:
acquiring the total time for the meditation training of the user to be evaluated;
adding the first coincidence time, the second coincidence time, the third coincidence time and the fourth coincidence time to obtain coincidence state time;
and taking the ratio of the coincidence state time to the total time as an evaluation result.
5. The electroencephalogram signal meditation evaluation method of claim 2, further comprising:
when the difference value of the electroencephalogram first signal and the electroencephalogram standard active signal is larger than or equal to a first set value, a first prompt tone is obtained;
when the difference value between the electroencephalogram second signal and the electroencephalogram standard calm signal is larger than or equal to a second set value, a second prompt tone is obtained;
when the difference value of the electroencephalogram third signal and the electroencephalogram standard relaxation signal is larger than or equal to a third set value, a third prompt tone is obtained;
and when the difference value of the fourth electroencephalogram signal and the standard electroencephalogram input signal is larger than or equal to a fourth set value, a fourth prompt tone is obtained.
6. The meditation evaluation method based on electroencephalogram signals as claimed in claim 1, wherein the comparing of the electroencephalogram signals with standard electroencephalogram signals to obtain a comparison result, wherein the standard electroencephalogram signals are generated by users with meditation training meeting set standards, and the method comprises the following steps:
drawing a curve corresponding to the electroencephalogram signal by taking the time corresponding to the electroencephalogram signal generated by the user to be evaluated as an abscissa and taking the intensity corresponding to the electroencephalogram signal as an ordinate;
drawing a standard curve corresponding to the electroencephalogram standard signal;
applying an Euclidean distance algorithm to the curve corresponding to the electroencephalogram signal and the standard curve to obtain the similarity between the curve corresponding to the electroencephalogram signal and the standard curve;
and obtaining a comparison result according to the similarity.
7. The electroencephalogram signal meditation evaluation method of claim 1, further comprising:
obtaining a sample user matched with the user to be evaluated;
collecting each electroencephalogram sample signal corresponding to the sample user during multiple meditation exercises;
and averaging all the electroencephalogram sample signals to obtain an electroencephalogram standard signal.
8. An apparatus based on an electroencephalogram signal meditation evaluation method, characterized by comprising the following components:
the signal acquisition module is used for acquiring the electroencephalogram signals of a user to be evaluated by the user;
the signal processing module is used for comparing the electroencephalogram signal with an electroencephalogram standard signal to obtain a comparison result, wherein the electroencephalogram standard signal is an electroencephalogram signal generated by a user with meditation training meeting a set standard;
and the evaluation module is used for obtaining an evaluation result according to the comparison result, and the evaluation result is used for reflecting the meditation training effect of the user to be evaluated.
9. A terminal device, characterized in that the terminal device comprises a memory, a processor and a brain electrical signal meditation evaluation program stored in the memory and operable on the processor, wherein the processor, when executing the brain electrical signal meditation evaluation program, implements the steps of the brain electrical signal meditation evaluation method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a brain electrical signal meditation evaluation program, which when executed by a processor, performs the steps of the brain electrical signal meditation evaluation method according to any one of claims 1 to 7.
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