阅读说明：本技术 一种基于脑电信息的效率管理方法 (Efficiency management method based on electroencephalogram information ) 是由 褚明礼 于 2021-01-15 设计创作，主要内容包括：本发明提供了一种基于脑电信息的效率管理方法,该方法包括如下步骤：获取用户脑电信号；对所述脑电信号进行处理以获得多个预设波段的功率；根据各个所述预设波段的功率,以迈速表和折线图的形式展示分项数据；根据所述分项数据,对用户采取不同的干预方式,直至所述分项数据达到期望值。(The invention provides an efficiency management method based on electroencephalogram information, which comprises the following steps: acquiring a user electroencephalogram signal; processing the electroencephalogram signals to obtain power of a plurality of preset wave bands; displaying the itemized data in the forms of a pace chart and a line graph according to the power of each preset waveband; and adopting different intervention modes for the user according to the itemized data until the itemized data reach an expected value.)

1. An efficiency management method based on electroencephalogram information is characterized by comprising the following steps:

acquiring a user electroencephalogram signal;

processing the electroencephalogram signals to obtain power of a plurality of preset wave bands;

displaying the itemized data in the forms of a pace chart and a line graph according to the power of each preset waveband;

and adopting different intervention modes for the user according to the itemized data until the itemized data reach an expected value.

2. The electroencephalogram information-based efficiency management method according to claim 1, wherein, when acquiring the electroencephalogram signal of the user, electrodes are placed according to electrode positions marked by the international 10-20 system method.

3. The electroencephalogram information-based efficiency management method according to claim 2, wherein the processing of the electroencephalogram signal includes amplification and filtering of the electroencephalogram signal.

4. The electroencephalogram information-based efficiency management method according to claim 3, wherein the preset bands include delta waves, theta waves, low alpha waves, high beta waves, low beta waves, high alternating current waves, low gamma waves, and medium gamma waves for a total of 8 bands.

5. The electroencephalogram information-based efficiency management method according to claim 4, wherein the itemized data includes an attention index, a total power index, an excitement index, and a suppression index.

6. The electroencephalogram information-based efficiency management method according to claim 5, wherein the attention index is (P)_{High alpha}+P_{Low beta}+P_{High beta}+P_{Low gamma}+P_{Middle gamma})/(P_δ+P_θ) (ii) a The total power index is the sum of the powers of all the preset wave bands; the excitation index is (P)_{Low gamma}+P_{Middle gamma})/P_{General assembly}(ii) a The inhibition index is (P)_δ+P_θ)/P_{General assembly}。

7. The EEG information-based efficiency management method according to claim 6, wherein said intervention modes include exercise regulation, relaxation regulation, mood regulation, and rest.

8. The electroencephalogram information-based efficiency management method according to claim 7, wherein the motion regulation includes HIIT, jogging, and fast walking; the relaxation regulation and control comprises static respiration, belief perception, body scanning and mind garden hypnosis relaxation; the mood control comprises music adjustment.

Technical Field

The invention relates to the technical field of electroencephalogram monitoring, in particular to an efficiency management method based on electroencephalogram information.

Background

At present, the comprehensive research of multiple levels on high-level cognitive functions such as thinking, learning, language and attention of human brains becomes one of the hot directions of modern scientific development, and electroencephalograms acquired from human scalps increasingly become indispensable experimental and analytical means in the research due to the unique attributes of the electroencephalograms, so that the analysis and processing of the electroencephalograms become indispensable contents in the research of brain science, and the research on the attention and the working efficiency of learners through the electroencephalograms also becomes an important method.

Attention is the direction and concentration of certain things by the psychological activities of people, and people need to concentrate on the attention to achieve the expected effect no matter what activities are carried out. Especially when working, studying or training in sports, attention is required to improve efficiency. Without attention, external information cannot enter the brain, and cognitive activities cannot occur. In particular, in learning, the perception image can be clear and complete only by focusing attention, and the memory effect is good. Concentration or distraction of attention is one of the important features of attention. In the existing attention research, the attention is greatly influenced by subjective factors, so that the attention state of a learner cannot be accurately reflected.

Current technology can presumably link different brain waves with different cognitive activities. For example:

alpha waves are more active at rest; beta waves are more active at high concentration and concentration; brain waves with poor nervous system regulation capability are mostly represented by excessive electroencephalogram power density of Theta waves (4-8Hz) and high Beta waves (18-36Hz), poor stability of SMR waves (12-15Hz) and insufficient electroencephalogram power density. Theta waves are usually the dominant force band of sleep stages in the nervous system, Delta waves are more active in deep sleep; however, if the Theta band is too high in the wake-up period, the human is often in a brain inhibition state, which is mostly shown in dull, vague, somnolence and more obvious imagination; the excessive intensity of the high Beta wave band indicates that the nerve activity is easy to generate impulsion, generate spleen qi, tension and anxiety, and easily generate fatigue and the like.

From the above, the attention and work efficiency of people are closely related to the brain electrical activity: the attention level and the attention efficiency can be adjusted by not only reflecting the electroencephalogram information but also adjusting the operation stability and the electroencephalogram power density of each band.

Therefore, how to develop an efficiency management method based on electroencephalogram information, which evaluates the attention level of a user by detecting the electroencephalogram information and manages the work efficiency of the user in a biofeedback manner becomes a technical problem to be solved at present.

Disclosure of Invention

In order to solve the above problems in the prior art, the present invention aims to provide an efficiency management method based on electroencephalogram information, which monitors electroencephalogram information in real time, and intervenes and adjusts the electroencephalogram state of a user in time through a biofeedback method, so as to improve the emotion of the user and improve the attention and work efficiency of the user.

In order to achieve the purpose, the invention provides the following technical scheme:

an efficiency management method based on electroencephalogram information comprises the following steps:

acquiring a user electroencephalogram signal;

processing the electroencephalogram signals to obtain power of a plurality of preset wave bands;

displaying the itemized data in the forms of a pace chart and a line graph according to the power of each preset waveband;

and adopting different intervention modes for the user according to the itemized data until the itemized data reach an expected value.

Preferably, when the user brain electrical signals are acquired, electrodes are placed according to the electrode positions marked by the international 10-20 system method.

Preferably, the processing process of the electroencephalogram signal comprises amplification and filtering of the electroencephalogram signal.

Preferably, the preset wavelength bands include delta waves, theta waves, low alpha waves, high reflection waves, low beta waves, high-frequency waves, low gamma waves and medium gamma waves, and the total number of the preset wavelength bands is 8.

Preferably, the itemized data includes an attention index, a total power index, an excitement index, and a suppression index.

Preferably, the attention index is (P)_{High alpha}+P_{Low beta}+P_{High beta}+P_{Low gamma}+P_{Middle gamma})/(P_δ+P_θ) (ii) a The total power index is the sum of the powers of all the preset wave bands; the excitation index is (P)_{Low gamma}+P_{Middle gamma})/P_{General assembly}(ii) a The inhibition index is (P)_δ+P_θ)/P_{General assembly}。

Preferably, the intervention modes comprise exercise regulation, relaxation regulation, mood regulation and rest.

Preferably, the exercise regulation comprises HIIT, jogging and fast walking; the relaxation regulation and control comprises static respiration, belief perception, body scanning and mind garden hypnosis relaxation; the mood control comprises music adjustment.

Compared with the prior art, the efficiency management method based on the electroencephalogram information achieves the following effects:

(1) the attention level of the user is evaluated according to the collected electroencephalogram signals of different wave bands by placing the electrodes at the electrode positions marked by the international 10-20 system method, and different intervention strategies are adopted, so that the state of the user is adjusted more accurately, reasonably and individually, and the working state of the user is ensured to be optimal.

(2) The electroencephalogram signals of 8 wave bands are collected, and the total power and the power ratio of each wave band are calculated, so that the judgment on attention and working efficiency is more accurate.

(3) And judging the fatigue degree of the user through the acquired electroencephalogram data, recommending a regulation and control mode and time which are most suitable for the user, simultaneously displaying the itemized data in real time through the pace chart and the line graph, stopping regulation and control when the expected value is reached, and continuing working.

Drawings

FIG. 1 is a block flow diagram of a preferred embodiment of an electroencephalogram information-based efficiency management method of the present invention;

FIG. 2 is a line graph of excitation index and inhibition index in a preferred embodiment of the invention;

FIG. 3 is a line graph of excitation index and inhibition index in a preferred embodiment of the invention;

FIG. 4 is a line graph of excitation index and inhibition index in a preferred embodiment of the invention;

FIG. 5 is a line graph of excitation index and inhibition index in a preferred embodiment of the invention;

FIG. 6 is a line graph of charge rate versus power consumption in a preferred embodiment of the present invention;

FIG. 7 is a line graph of charge rate versus power consumption in a preferred embodiment of the present invention;

FIG. 8 is a line graph of total power in a preferred embodiment of the invention

FIG. 9 is a line graph of charge rate and energy consumption regulation versus mood in a preferred embodiment of the present invention;

FIG. 10 is a line graph of charge rate and energy consumption regulation versus mood in a preferred embodiment of the present invention;

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

Referring to fig. 1, in a preferred embodiment, an efficiency management method based on electroencephalogram information is disclosed, which includes the following steps:

step S11, acquiring user electroencephalogram signals;

step S12, processing the electroencephalogram signals to obtain power of a plurality of preset wave bands;

step S13, displaying itemized data in the form of a Merry-chart and a line chart according to the power of each preset waveband;

and step S14, adopting different intervention modes for the user according to the itemized data until the itemized data reach the expected value.

In the following, the electroencephalogram information-based efficiency management method in the present exemplary embodiment will be further explained:

in step S11, electrodes are placed according to the electrode positions marked by the international 10-20 systems law, preferably at Fp1, Fp2, F3, F4, C3, C4, P3, P4, O1, O2, F7, F8, T3, T4, T5, T6, Fpz, FZ, CZ, PZ, OZ, and a total of 21 electrode points.

In step S12, the processing procedure of the electroencephalogram signal includes amplification and filtering of the electroencephalogram signal to ensure the accuracy of the acquired electroencephalogram signal graph.

Further, in step S12, the preset wavelength bands include a δ wave, a θ wave, a low α wave, a high β wave, a low β wave, a high blood pressure wave, a low γ wave, and a middle γ wave, which total 8 wavelength bands. Wherein the alpha rhythm is 8-13Hz rhythm appearing in back head under waking state, most people are 9-10Hz, and amplitude is 10-100 μ V; waves faster than alpha waves are called fast waves and waves slower than alpha waves are called slow waves.

In step S13, the power of all the preset bands is added to obtain the total power, i.e. the total power P is P_δ+P_θ+ P Low_α+P_{High alpha}+P_{Low beta}+P_{High beta}+P_{Low gamma}+P_{Middle gamma}。

Furthermore, in order to analyze the electroencephalogram state of a user in real time, accurately provide a targeted adjustment mode and quickly improve the work or learning efficiency, the subentry data can be displayed in the form of a pace table and a broken line graph, the subentry data comprises four pace tables and two broken line graphs, the pace tables respectively display real-time values of second-level data, and the indexes comprise an attention index, a total power index, an excitation index and a suppression index; the two line graphs show the changes in the indicators during monitoring, including attention index, excitement index, and inhibition index.

In particular, attention is paid toThe force index is (P)_{High alpha}+P_{Low beta}+P_{High beta}+P_{Low gamma}+P_{Middle gamma})/(P_δ+P_θ) Respectively monitoring a fast wave and a slow wave in a stepping table, wherein the higher the fast wave is, the lower the slow wave is, and the higher the attention index is;

the total power index is the sum of the powers of all the preset wave bands, and the lower the power is, the more the power is biased to the inhibition state; the higher the power, the more biased to the active state; when in learning or working, the power is too low, the energy is not enough, and the normal learning or working can not be supported; the power is too high to support and work, but the endurance is insufficient due to too high energy consumption;

the excitation index is (P)_{Low gamma}+P_{Middle gamma})/P_{General assembly}Namely, the fast wave is monitored in a Merry-go chart, and the higher the excitation index is, the more active the state is;

the inhibition index is (P)_δ+P_θ)/P_{General assembly}That is, the slow wave is monitored in the Meyer table, and the higher the suppression index is, the lower the state is.

As shown in fig. 2, it is required that the excitability index is higher than the inhibition index in normal work or learning; if the excitability index is lower than the inhibition index, as shown in the area a in fig. 3, different intervention ways are needed to improve the excitability through the regulation function, as shown in the area B in fig. 3.

Based on the different items of data and the physical state, in step S14, the intervention modes include exercise control, relaxation control, mood control, and rest, which are described in detail below:

movement regulation and control: specifically, when the body energy is sufficient (the body is in a non-fatigue state) and the excitability needs to be rapidly improved, the intervention mode of movement regulation and control is adopted, including HIIT (high intensity intermittent movement), jogging and fast walking, the movement intensity is weakened in sequence, and the required time is gradually increased.

The HIIT can promote blood flow, accelerate blood circulation and rapidly enter an excited state. The load of the jogging is high, the load of the jogging on the feet and the waist is large, and the two parts are not recommended to be used by the wounded and the wounded. In jogging, the line of sight is forward, and the upper body, especially the back, is pulled back and the abdomen is contracted. When the walking is fast, the upper body needs to be straight, the upper body faces the front, the two arms are unfolded and naturally straightened, the swing amplitude needs to be large, the stride of the two feet is also pulled to be large, and the muscles of the crus need to be tightened.

As shown in fig. 4, during exercise, the excitation index in the line graph is required to be gradually increased, the inhibition index is required to be gradually decreased, and finally, the excitation index is stably higher than the inhibition index. But it should be noted that: the excessive exercise is avoided, and the physical and mental fatigue caused by the excessive exercise is avoided. If the excitation index and the inhibition index are crossed repeatedly during exercise, as shown in fig. 5, it indicates that the exercise amount is insufficient or the exercise intensity is insufficient, and the exercise amount needs to be increased or the exercise mode with higher intensity needs to be changed.

And (3) relaxation regulation: when the body is slightly exhausted and increased energy is required. The relaxation regulation can make the body and mind quickly enter a deep relaxation state, so that the energy is improved, and the learning or working efficiency is improved. The relaxation regulation includes resting respiration, thoughts perception, body scanning and mind garden hypnosis relaxation.

Wherein the said silent respiration can improve the neural connection of the prefrontal lobe of the brain, the function of which is related to concentration of attention, memory operation and decision-making ability. The energy of the user can be improved, and the emotion control capability is improved; self-adjustment by deep breathing is also possible when fear and anger are felt.

The body scan is a deep exploration of the current body experience. It deals with stress, anxiety and physical pain by perceiving the sensations of the body. The sleep quality can be improved, the body and mind can be relaxed, the control capability of the management emotion can be improved, the body and mind health level can be improved, the work performance can be improved, and the harmonious interpersonal relationship can be established.

The belief perception is to feel and observe what is happening at present through the visual angle of a bystander, and only to perceive without any judgment.

The garden with soul effect can induce hypnosis and relax via voice to enter deep relaxation state. Along with the guidance, slowly relax the body and mind, effectively improve the ability of the body to charge quickly and effectively improve the sleep quality.

As shown in FIG. 6, during normal operation or learning, the energy consumption index is maintained between 20 and 50, and the charging rate is maintained between 70 and 100. As shown in fig. 7, when the body is in a slightly tired state and the energy consumption is high and the charging rate is low (region a in fig. 7), the body is charged quickly and the energy consumption is reduced through the relaxation training for several minutes, thereby improving the work or learning efficiency (region B in fig. 7). Wherein, the charging rate is high alpha ratio 300, and the energy consumption is the sum of the power of all wave bands.

Rest: when the body is very tired, a rapid increase in energy is required, which in turn increases the excitement. At this time, a short rest of 15 or 30 minutes is performed, so that the brain can be rapidly brought into a deep resting state. Which includes setting rest time and sleep-aid music.

Specifically, according to the fatigue degree of the user, the user can select 15 minutes or 30 minutes for rest and use the rest in daily life or noon break. The sleep music comprises stereo-structure double-brain synchronous resonance music, which adopts natural harmonic sound waves to resonate with human brain cells, excites beneficial sleep brain waves and quickly improves energy.

As shown in fig. 8, under normal conditions, after a nap starts for 3-5 minutes, the user starts to enter a low-power state, namely, a deep sleep state, and at the moment, the brain enters a deep rest state, so that energy can be rapidly improved, fatigue can be relieved, and work and learning efficiency can be improved.

And (3) emotion regulation: when the emotion is low or excited, the emotion needs to be adjusted to enable the mind and body to enter the state quickly. With the acceleration of life rhythm, the pressure is also getting bigger and bigger, need please the regulation and control of mood to obtain better quality of life, promote the efficiency of work and study. The method comprises the steps of adjusting music, emotion indexes and regulation and control force indexes; emotional index of P_{High beta}/P_{Low beta}The regulation and control power index is P_αPer P total.

As shown in fig. 9, in the normal state, the index of the regulatory power is above and the index of the emotion is below. As shown in fig. 10, when the emotion is low or excited too much (area a in fig. 10), the emotion needs to be controlled to quickly reach a state of mild emotion (area B in fig. 10), so as to improve the efficiency of work and learning and improve the quality of life.

In conclusion, the electroencephalogram state of the user is analyzed in real time, a targeted adjustment mode is accurately given, and the work efficiency or the learning efficiency can be quickly improved.

Taking students as an example, the learning result is learning efficiency intelligence. Daily work courses, the quantitative evaluation of the efficiency level of children, the pace chart and the broken line chart can be clear at a glance, the efficiency state (attention level) determines the speed and the accuracy of learning and operation, parents and other users are prompted to regulate and control in due time, the intelligent training device is also suitable for the learning sprint stages of 'preparation for exam' in various classes, and the like, and avoids the vicious circle of fatigue/attention deficit. When learning to enter an inefficient (low arousal) state of fatigue or distraction, the user can be quickly brought into the efficient state in a short time by using four different intervention techniques.

Compared with the prior art, the invention provides an efficiency management method based on electroencephalogram information, which achieves the following effects:

(1) the attention level of the user is evaluated according to the collected electroencephalogram signals of different wave bands by placing the electrodes at the electrode positions marked by the international 10-20 system method, and different intervention strategies are adopted, so that the state of the user is adjusted more accurately, reasonably and individually, and the working state of the user is ensured to be optimal.

(2) The electroencephalogram signals of 8 wave bands are collected, and the total power and the power ratio of each wave band are calculated, so that the judgment on attention and working efficiency is more accurate.

(3) And judging the fatigue degree of the user through the acquired electroencephalogram data, recommending a regulation and control mode and time which are most suitable for the user, simultaneously displaying the itemized data in real time through the pace chart and the line graph, stopping regulation and control when the expected value is reached, and continuing working.

The foregoing description shows and describes several preferred embodiments of the present application, but as aforementioned, it is to be understood that the application is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the application as described herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the application, which is to be protected by the claims appended hereto.