JPH06296692A - Apparatus for training respiration for management of brain wave - Google Patents

Abstract

PURPOSE:To enable early induction to a state at the time of relaxing and reposing at which a large quantity of alpha waves are released by determining the voltage per unit time of the alpha waves and beta waves based on the brain waves detected by a sensor and generating induction sounds for inducing the start of suction and discharge of respiration in accordance with this voltage. CONSTITUTION:This device includes a sensor core 1 for detecting the brain waves and inputs the sensor signals thereof via a filter means 2 allowing the passage of analyzable frequencies or below and an A/D conversion section 3 to a high-speed Fourier transform section 4. The sample value after the A/D conversion is stored therein and the voltage muV per unit time of the alpha waves and the waves is calculated. The average value of the voltage is computed by a central processing unit 5. The computation of level n=levle n-1+[(average alpha value-average beta value)n-(average alphavalue-average beta value)n-1]/prescribed, value muV, is executed in this central processing unit 5. The respective levels n of a data map in which the time for starting the suction and discharge at the time of one respiration is gradually made short and long are selected and the sounds for inducing the respiration are generated from a voice control section 7 in accordance with the respective levels n.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION The present invention uses α while measuring brain waves.
The present invention relates to an electroencephalogram management breathing training device that is optimal for increasing the number of waves to further assist the work of the brain during rest and relaxation to rest the body and body.

[0002]

BACKGROUND ART [0002] Conventionally, α waves in brain waves are said to be included during relaxation and rest, and the greater the number, the more relaxed,
It has been physiologically accepted that it is more suitable for resting, and it has been elucidated that a large amount of α-wave is emitted when breathing per minute is reasonably slow and can be performed slowly.

[0003]

However, there is currently no technique for inducing respiration so that one individual spontaneously emits a large amount of α-wave when relaxing or resting.

It is an object of the present invention to provide an electroencephalogram management breathing training device capable of conducting a training exercise so as to release a large amount of α-waves when relaxing and resting.

[0005]

The technical means taken to achieve the above-mentioned object is, in claim 1, a sensor means for detecting an electroencephalogram and a filter which is linked to the sensor means and passes below an analyzable frequency. Means, an A / D converter for converting the input data of the passed frequency into a digital signal, a sample value converted into the digital signal, and a unit time of α wave and β wave from the sample value And a fast Fourier transform unit for calculating the voltage per hit, and the average value of the voltage of the α wave and β wave per unit time, and

[Equation 2] The central processing unit having the built-in arithmetic expression and the central processing unit are linked to the central processing unit, and the time between inhalation and exhalation in one breath is gradually lengthened as the level n calculated by the arithmetic expression increases or decreases. It is provided with a storage device that stores a data map and a voice control unit that is linked to the central processing unit and that emits a breathing guidance sound for inspiring / exhausting start guidance in accordance with each level n of the data map. And Furthermore, the gist of claim 2 is that the voice control part of claim 1 makes the frequency of the breathing-inducing sound different at the time of inhalation and exhalation. In claim 3, the voice control unit according to claim 1 or 2,
In addition to the breath-induced sound, when the α value is larger than the β value in the average value of the voltage of the α wave and the β wave, the pleasant sound such as music and natural sound is reproduced, and the α value is the same. Is β
The gist is that the sound medium is controlled so that the pleasant sound is stopped when the value is smaller than the value.

[0006]

According to the above technical means, there are the following actions. (Claim 1) From the electroencephalogram detected by the sensor means, the α-wave, the β-wave and the θ-wave are passed through a filter, which is converted into a digital signal through an A / D converter and the sample value is stored. The fast Fourier transform unit associated with the central processing unit calculates the voltage of the α wave and the β wave per unit time based on the sample value, and the central processing unit calculates the average value (voltage) with the voltage value. Further, in the central processing unit, another calculation formula for setting the level n each time based on the ratio of α wave and β wave contained in the electroencephalogram according to the calculation formula for calculating the average value

[Equation 3] Is built in. This calculation formula calculates how much the average value (voltage) of the α wave input each time is larger than the average value (voltage) of the β wave, and how many levels the level n depends on the increase of the average value of the α wave. Decide how much up or down. The storage device stores this level n data map. This data map shows the timing of inhalation (time from the start of inhalation to the start of exhalation with a stop time sandwiched) and the timing of exhalation (start of exhalation to stop time) according to the up calculated value and the down calculated value of the average value of α waves. And the data to gradually lengthen and shorten ((Fig. 4)
The number of ups and downs from the previous level n is determined by collating this data map with the operation result of the central processing unit, and the sucking timing and the exhaling timing of the determined level n are determined. At the same time, each time a voice control unit emits a breathing-inducing sound notifying the start of inhalation and the start of exhalation and is transmitted to the measurer. That is, the guide sound for inhalation and the guide sound for exhalation during one breath are transmitted to the measurer with the stop time consisting of time and silence between them to increase the degree of relaxation and rest, and However, as it becomes larger than the β-wave average value, the inhalation timing and exhalation timing during one breath are gradually lengthened,
Invite them to a state close to sleep with the most α waves. If α
If the wave average value is not different from the β wave average value, or conversely, if the β wave average value is large, even if the inhalation timing and the exhalation timing during one breath are made extremely long, it does not lead to an increase in the α wave. , As the α-wave average value becomes larger than the β-wave average value, the inhalation timing and the exhalation timing during one breath are gradually lengthened, and the number of ups and downs is increased or decreased with respect to the level n of the previous stage. Effectively pulls out α-waves and surely guides them to a more relaxed and resting brain state closer to that state, even if it does not lead to sleep. (Claim 2) Eliminate the mistake between the act of inhaling and the act of exhaling during breathing, and more reliable induction. (Claim 3) The guidance is smoothly and effectively performed with the aid of the relief feeling that BGM promotes.

As described above, the present invention uses α waves among brain waves
The voltage value of β wave per unit time is calculated by the fast Fourier transform unit, the average value of the voltage value is calculated, and the average value is used as the basis.

[Equation 4] Select the level n of the data map in which the breathing method effective to increase the α wave is input by the calculation formula consisting of, and according to the level n, the timing of inhalation during one breath (exhale after the stop time from the beginning of inspiration) (Time until the beginning) and timing of vomiting (time from the beginning of vomiting until the start of sucking with the stop time between), directly notify the subject of breathing by the breathing-inducing sound, and continue this gradually Since it gradually and naturally invites the above-mentioned timing of sucking and discharging so as to promote the increase of waves, it releases a large amount of α-waves, which is considered to be favorable for health care when relaxing or resting. It is possible to provide a physiologically effective brain wave management respiration training device that can be acquired by a breathing method. Therefore,
By repeating exercise with this device, you can acquire a good mental state and good breathing timing until you can reproduce it while relaxing and at rest, so that you can use one breathing method that you have learned at home, in the office, or anywhere. Can be substantially rested. Moreover, when the frequency of the breathing-inducing sound is different between when inhaling and when exhaling, the breathing error due to the confusion of the breathing-inducing sounds is eliminated, and the increase in the α wave is prevented from being hindered. Furthermore, when it is found that more α waves are emitted than β waves, BGM is made to increase mental stability, so a large amount of α waves are emitted in a short time. It encourages you to do so and can guide you more effectively.

[0008]

Embodiments of the present invention will now be described with reference to the drawings. 1 to 4 show an embodiment of the electroencephalogram management breathing training apparatus of the present embodiment, FIG. 1 is a block diagram thereof, FIG. 2 shows detected electroencephalograms, and FIG. Waveforms of various α-waves, β-waves, and θ-waves are shown.

As shown in FIG. 1, the electroencephalogram management respiration training apparatus A has a sensor means 1 for detecting an electroencephalogram, a filter means 2 for passing a frequency below an analyzable frequency, and input data of a frequency passing through the filter means 2 into a digital signal. A / D converter 3, a fast Fourier transform unit 4 for storing the sample values converted by the A / D converter 3 and calculating the voltage (μv) per unit time of α wave and β wave, A central processing unit 5 for calculating an average value and incorporating a predetermined calculation expression (described later), a storage device 6 for storing the average value of the voltage and the data map 6a, breath-induced sounds, music, natural sounds, etc. Voice control unit 7, keyboard 8 that can be input to the storage device 6
And so on.

In brief, the sensor means 1 for detecting an electroencephalogram has an electrode (not shown) mounted on a strip (not shown) wound around the head, and an amplifier (not shown) for amplifying an input signal to the electrode. )
Is connected to an electroencephalograph (not shown).

The filter means 2 uses a low-pass filter for removing aliasing, and passes only frequencies below the analyzable level.

The A / D converter 3 is for converting a frequency lower than that which can be analyzed into a digital signal, and each sample value converted into a digital amount (digital amount of each α wave, β wave, θ wave) is high speed. It is stored in the memory unit 4a of the Fourier transform unit 4.

The fast Fourier transform unit 4 includes the memory unit 4
Predetermined FF using the sample value stored in a as data.
The Fourier transform is calculated by the T arithmetic circuit and decomposed for each frequency to calculate the voltage (μv) per unit time for each frequency component.

The central processing unit 5 has a predetermined arithmetic expression for calculating an average value (voltage) for each frequency component,

[Equation 5] And an arithmetic expression for simply calculating whether the average value of α waves is larger or smaller than the average value of β waves.

In this arithmetic expression, K (constant) is 0.
It is set to 25 μv. This is the average value of the previous α wave and β
Every time the difference (Y) between the average value of the waves and the average value (X) between the average value of the α waves and the average value of the β waves changes by 0.5 μv, a data map 6a (see FIG. 4) described later is displayed. Therefore, either one of the timing of inhalation (the time from the beginning of inhalation to the beginning of exhalation with the stop time in between) 100 and the timing of exhalation (the time from the beginning of exhalation until the start of inhalation with the stop in between) 200 in one breath are 1 alternately. This is because the breathing timing was set so as to increase or decrease by seconds. In other words, depending on how much the α wave increased with respect to the previous level n, the previous level n
The balance amount, which is an index for step-up or step-down from, is calculated. This level will be described later with the data map 6a.

The storage device 6 has a memory unit (not shown) for storing the data map 6a and for storing the total (training result) which can be read by the password input from the keyboard 8.

This data map 6a ranges from level 0 (1 breath / 15 seconds (normal breath)) to level 90 (1 breath / 60 seconds (optimal breath)) as shown in FIG. It is divided into 45 steps, and as is clear in FIG. 4, every time the level rises by 2, the timing of inhaling in one breath
Alternate between 100 and spitting timing 200 by 1 second,
Conversely, every time the level goes down by 2, the same timing 100, 20
Alternately shorten 0 by 1 second until the above timing is reached.
It is designed to control breathing until 100 and 200 reach 29 seconds (sum of sucking and stopping) and 31 seconds (sum of discharging and stopping). This level 90 is a breathing method in a state close to sleep, and this state is the optimum state in which physiologically the most α waves are considered. In addition, the reason why the data map 6a is illustrated as being separated into intake and stop and exhalation and stop is because the voice control unit 7 to be described later produces a breath guidance sound to induce breathing for 5 seconds and 5 seconds. This is because I tried to emit it.

The voice control unit 7 includes a control unit (not shown) having a predetermined program for generating a breathing guidance sound having different breathing guidance sound frequencies during inhalation and exhalation, music, and natural sound (flow of water). Etc.), a remote controllable player unit (not shown) in which a sound medium such as a tape, a cassette, or the like is removably inserted, and the result of the calculation of the central processing unit 5, for example, level 2 is set. If it is given, a sound of 400 HZ, for example, for 5 seconds that prompts an act of inhaling in one breath, and a sound of 300 HZ for 5 seconds that prompts an act of exhaling, is taken from the earphone 11 from the earphone 11 after the stop time. When the average value of the α-wave is larger than the average value of the β-wave, the BGM can be made to flow from the earphone 11 with a weak sound that does not disturb the breathing-induced sound, if necessary.

Next, the operation of the electroencephalogram management breathing exerciser A of this embodiment will be described in detail. The measurer winds the sensor means 1 around the head and relaxes. The electroencephalogram is amplified and passed through only the α-wave, β-wave, and θ-wave that can be analyzed by the filter means 2, and is converted into a digital signal by the A / D converter 3.・ Each sample value converted to digital quantity (α wave, β
Wave, digital quantity of θ wave)
Is stored in the memory unit 4a. In the fast Fourier transform unit 4, the voltage per unit time (μ
Calculate v).・ Voltage per unit time for each frequency component (μ
The central processing unit 5 calculates the average value of v). Further, in the central processing unit 5, the calculation for setting the level value of the data map 6a described above is performed at any time in accordance with the calculation formula.・ That is, at the start of measurement, there is no previous level to determine the level, so the calculation is started with the initial value as level 0. Then, as a result, when it is found that the average value of the α wave is, for example, 1 μv larger than the average value of the β wave, the level 0 + 4 points (1 μv is K, 0.25
Divide by μv), and the respiratory motion is induced according to the menu of level 4 (FIG. 4) of the data map 6a. Further, the average value of the α-wave and the average value of the β-wave are calculated even while the respiratory motion is being induced according to the level 4 menu, and the same calculation processing is performed according to the above-described calculation formula. At that time, K is obtained by comparing the difference (X) between the current α-wave average value and the β-wave average value with the difference (Y) between the previous α-wave average value and the β-wave average value. Divide by 0.25 μv and the previous level 4 is increased or decreased at that point to set the next level. That is, as a result of the above collation,
When both (X) and (Y) are 1 μv and offset each other, level 4 is set as a menu again, and as a result of the collation, the difference (X) this time is 0.5 μ more than the difference (Y) of the previous time.
If v is larger, level 2 goes up and level 6 becomes the next menu. Conversely, if it is smaller than 0.5 μv, 2
Point 2 goes down and level 2 becomes the next menu. Therefore, the amount of α-wave is effectively increased while stepping up with respect to the previous level n or conversely stepping down. The execution of each level is subjectively transmitted to the ears of the measuring person by means of an induction sound of which the length and the frequency at the time of inhalation and exhalation are changed from the voice control unit 7, and breathing is repeated in a relaxed state on the induction sound. As a result, the increase of alpha waves is promised without difficulty. Of course, by listening to the BGM composed of a cassette tape or the like, it is possible to freely assist the relaxation degree and to rapidly increase the α wave by the remote control.

As is apparent from the data map 6a, the breathing-inducing sound is strong at the beginning even if it is emitted for 5 seconds, then gradually weakens, and disappears spontaneously after 5 seconds, only for the first 1-2 seconds. Emitted for guidance, the remaining number of seconds (6 seconds to 5 at level 100, when the timing is 100)
There is a method in which the action is left to the condition including the vital capacity of the measurer for 7 to 6 seconds at the time of vomiting for 7 seconds.

Also, by inputting a password from the keyboard 8, the total data at the end of the guidance, that is, the memory of the transition up to the level 90 is stored in the memory 8b as a graph or printed out as necessary. I don't mind.

In this embodiment, the change in the average value of the α wave and the average value of the β wave during the training can be graphically displayed from the display device 9 so that the slight increase of the α wave can be visually enjoyed. Consideration is given. In that case, the D / A converter 10 is provided.

The features of the electroencephalogram management breathing training apparatus of this embodiment are as follows:
Even when the respiratory motion is being induced at a certain level n, the average value of the α-wave and the average value of the β-wave during the respiratory motion are calculated, and the current (X) for the previous (Y) is calculated. By comparing the above, the number of up-levels and the number of down-levels for this time with respect to the previous time can be set, and the level-up and level-down effective for increasing the α wave can be promised.

Note that K (constant) 0.2 in the above equation
As described above, 5 μv means that the difference (Y) between the previous average value of α-wave and the average value of β-wave and the difference (X) between this average value of α-wave and the average value of β-wave are 0.5 μv. Each time it changes, according to a data map 6a described later, the timing of inhalation in one breath (the time from the beginning of inhalation to the beginning of exhalation with a stop time)
This is because either 100 or the timing of vomiting (time from the beginning of vomiting until the start of sucking with the stop time in between) is set to alternately increase or decrease by 1 second, but this K is limited to the above value. Instead, it can be arbitrarily determined in the range of 0.1 μv to 0.4 μv. If the value of K (constant) is too small, the number of levels will be too large, and there is a risk that guidance training will be lengthened unnecessarily. Not effective for training.

The level contents of the data map 6a described above are examples, and the timing of sucking 100 and the timing of exhaling
It is possible that one cycle is a time when 200 is shorter than the level 0 menu.

[0026]

[Brief description of drawings]

FIG. 1 is a block diagram of an electroencephalogram management respiratory training apparatus according to the present embodiment.

FIG. 2 is a graph showing amplified input data (electroencephalogram).

FIG. 3 is a graph showing a frequency component waveform passed by a filter means.

FIG. 4 is a front view of a data map.

[Explanation of symbols]

A: Electroencephalogram management breathing exercise device 1: Sensor means 2: Filter means 3: A / D
Transducer 4: Fast Fourier transform unit 5: Central processing unit 6: Storage device 7: Voice control unit 6a: Data map

─────────────────────────────────────────────────── ───

[Procedure amendment]

[Submission date] May 27, 1994

[Procedure Amendment 1]

[Document name to be amended] Statement

[Name of item to be corrected] Claim 1

[Correction method] Change

[Correction content]

[Equation 1] The central processing unit having the built-in arithmetic expression and the central processing unit are linked to the central processing unit, and the time between inhalation and exhalation in one breath is gradually lengthened as the level n calculated by the arithmetic expression increases or decreases. A storage device storing a data map, and a voice control unit that is linked to the central processing unit and emits a breathing guidance sound for inspiring / exhausting start guidance in accordance with each level n of the data map. EEG management respiratory training device.

[Procedure Amendment 2]

[Document name to be amended] Statement

[Name of item to be corrected] Claim 2

[Correction method] Change

[Correction content]

[Procedure 3]

[Document name to be amended] Statement

[Name of item to be corrected] 0005

[Correction method] Change

[Correction content]

[0005]

The technical means taken to achieve the above-mentioned object is, in claim 1, a sensor means for detecting an electroencephalogram and a filter which is linked to the sensor means and passes below an analyzable frequency. Means, an A / D converter for converting the input data of the passed frequency into a digital signal, a sample value converted into the digital signal, and a unit time of α wave and β wave from the sample value And a fast Fourier transform unit for calculating the voltage per hit, and the average value of the voltage of the α wave and β wave per unit time, and

[Equation 2] The central processing unit having the built-in arithmetic expression and the central processing unit are linked to the central processing unit, and the time between inhalation and exhalation in one breath is gradually lengthened as the level n calculated by the arithmetic expression increases or decreases. It is provided with a storage device that stores a data map and a voice control unit that is linked to the central processing unit and that emits a breathing guidance sound for inspiring / exhausting start guidance in accordance with each level n of the data map. And Furthermore, the gist of claim 2 is that the voice control part of claim 1 makes the frequency of the breathing-inducing sound different at the time of inhalation and exhalation. In claim 3, the voice control unit according to claim 1 or 2,
In addition to the breath-induced sound, when the α value is larger than the β value in the average value of the voltage of the α wave and the β wave, the pleasant sound such as music and natural sound is reproduced, and the α value is the same. Is β
The gist is that the sound medium is controlled so that the pleasant sound is stopped when the value is smaller than the value.

[Procedure amendment 4]

[Document name to be amended] Statement

[Correction target item name] 0006

[Correction method] Change

[Correction content]

[0006]

According to the above technical means, there are the following actions. (Claim 1) From the electroencephalogram detected by the sensor means, the α-wave, the β-wave and the θ-wave are passed through a filter, which is converted into a digital signal through an A / D converter and the sample value is stored. The fast Fourier transform unit associated with the central processing unit calculates the voltage of the α wave and the β wave per unit time based on the sample value, and the central processing unit calculates the average value (voltage) with the voltage value. Further, in the central processing unit, another calculation formula for setting the level n each time based on the ratio of α wave and β wave contained in the electroencephalogram according to the calculation formula for calculating the average value

[Equation 3] Is built in. This calculation formula calculates how much the average value (voltage) of the α wave input each time is larger than the average value (voltage) of the β wave, and how many levels the level n depends on the increase of the average value of the α wave. Decide how much up or down. The storage device stores this level n data map. This data map shows the timing of inhalation (time from the start of inhalation to the start of exhalation with a stop time sandwiched) and the timing of exhalation (start of exhalation to stop time) according to the up calculated value and the down calculated value of the average value of α waves. And the data to gradually lengthen and shorten ((Fig. 4)
The number of ups and downs from the previous level n is determined by collating this data map with the operation result of the central processing unit, and the sucking timing and the exhaling timing of the determined level n are determined. At the same time, each time a voice control unit emits a breathing-inducing sound notifying the start of inhalation and the start of exhalation and is transmitted to the measurer. That is, the guide sound for inhalation and the guide sound for exhalation during one breath are transmitted to the measurer with the stop time consisting of time and silence between them to increase the degree of relaxation and rest, and However, as it becomes larger than the β-wave average value, the inhalation timing and exhalation timing during one breath are gradually lengthened,
Invite them to a state close to sleep with the most α waves. If α
If the wave average value is not different from the β wave average value, or conversely, if the β wave average value is large, even if the inhalation timing and the exhalation timing during one breath are made extremely long, it does not lead to an increase in the α wave. , As the α-wave average value becomes larger than the β-wave average value, the inhalation timing and the exhalation timing during one breath are gradually lengthened, and the number of ups and downs is increased or decreased with respect to the level n of the previous stage. Effectively pulls out α-waves and surely guides them to a more relaxed and resting brain state closer to that state, even if it does not lead to sleep. (Claim 2) Eliminate the mistake between the act of inhaling and the act of exhaling during breathing, and more reliable induction. (Claim 3) The guidance is smoothly and effectively performed with the aid of the relief feeling that BGM promotes.

[Procedure Amendment 5]

[Document name to be amended] Statement

[Correction target item name] 0007

[Correction method] Change

[Correction content]

As described above, the present invention uses α waves among brain waves
The voltage value of β wave per unit time is calculated by the fast Fourier transform unit, the average value of the voltage value is calculated, and the average value is used as the basis.

[Equation 4] Select the level n of the data map in which the breathing method effective to increase the α wave is input by the calculation formula consisting of, and according to the level n, the timing of inhalation during one breath (exhale after the stop time from the beginning of inspiration) (Time until the beginning) and timing of vomiting (time from the beginning of vomiting until the start of sucking with the stop time between), directly notify the subject of breathing by the breathing-inducing sound, and continue this gradually Since it gradually and naturally invites the above-mentioned timing of sucking and discharging so as to promote the increase of waves, it releases a large amount of α-waves, which is considered to be favorable for health care when relaxing or resting. It is possible to provide a physiologically effective brain wave management respiration training device that can be acquired by a breathing method. Therefore,
By repeating exercise with this device, you can acquire a good mental state and good breathing timing until you can reproduce it while relaxing and at rest, so that you can use one breathing method that you have learned at home, in the office, or anywhere. Can be substantially rested. Moreover, when the frequency of the breathing-inducing sound is different between when inhaling and when exhaling, the breathing error due to the confusion of the breathing-inducing sounds is eliminated, and the increase in the α wave is prevented from being hindered. Furthermore, when it is found that more α waves are emitted than β waves, BGM is made to increase mental stability, so a large amount of α waves are emitted in a short time. It encourages you to do so and can guide you more effectively.

[Procedure correction 6]

[Document name to be amended] Statement

[Correction target item name] 0012

[Correction method] Change

[Correction content]

The A / D converter 3 is for converting a frequency lower than that which can be analyzed into a digital signal, and each sample value converted into a digital amount (digital amount of each α wave, β wave, θ wave) is high speed. It is stored in the memory unit 4a of the Fourier transform unit 4.

[Procedure Amendment 7]

[Document name to be amended] Statement

[Correction target item name] 0014

[Correction method] Change

[Correction content]

The central processing unit 5 has a predetermined arithmetic expression for calculating an average value (voltage) for each frequency component,

[Equation 5] And an arithmetic expression for simply calculating whether the average value of α waves is larger or smaller than the average value of β waves.

[Procedure Amendment 8]

[Document name to be amended] Statement

[Correction target item name] 0019

[Correction method] Change

[Correction content]

Next, the operation of the electroencephalogram management breathing exerciser A of this embodiment will be described in detail. The measurer winds the sensor means 1 around the head and relaxes. The electroencephalogram is amplified and passed through only the α-wave, β-wave, and θ-wave that can be analyzed by the filter means 2, and is converted into a digital signal by the A / D converter 3.・ Each sample value converted to digital quantity (α wave, β
Wave, digital quantity of θ wave)
It is stored in the memory portion 4a. In the fast Fourier transform unit 4, the voltage per unit time (μ
Calculate v).・ Voltage per unit time for each frequency component (μ
The central processing unit 5 calculates the average value of v). Further, in the central processing unit 5, the calculation for setting the level value of the data map 6a described above is performed at any time in accordance with the calculation formula.・ That is, at the start of measurement, there is no previous level to determine the level, so the calculation is started with the initial value as level 0. Then, as a result, when it is found that the average value of the α wave is, for example, 1 μv larger than the average value of the β wave, the level 0 + 4 points (1 μv is K, 0.25
Divide by μv), and the respiratory motion is induced according to the menu of level 4 (FIG. 4) of the data map 6a. Further, the average value of the α-wave and the average value of the β-wave are calculated even while the respiratory motion is being induced according to the level 4 menu, and the same calculation processing is performed according to the above-described calculation formula. At that time, K is obtained by comparing the difference (X) between the current α-wave average value and the β-wave average value with the difference (Y) between the previous α-wave average value and the β-wave average value. Divide by 0.25 μv and the previous level 4 is increased or decreased at that point to set the next level. That is, as a result of the above collation,
When both (X) and (Y) are 1 μv and offset each other, level 4 is set as a menu again, and as a result of the collation, the difference (X) this time is 0.5 μ more than the difference (Y) of the previous time.
If v is larger, level 2 goes up and level 6 becomes the next menu. Conversely, if it is smaller than 0.5 μv, 2
Point 2 goes down and level 2 becomes the next menu. Therefore, the amount of α-wave is effectively increased while stepping up with respect to the previous level n or conversely stepping down. Execution of each level is subjectively transmitted to the ear of the measuring person by an audible sound whose length and frequency at the time of inhalation and exhalation are changed from the voice control unit 7, and breathing is repeated in a relaxed state on the audible sound. As a result, the increase of alpha waves is promised without difficulty. Of course, by listening to the BGM composed of a cassette tape or the like, it is possible to freely assist the relaxation degree and to rapidly increase the α wave by the remote control.

Claims (3)

[Claims] 1. A sensor means for detecting an electroencephalogram, a filter means which is linked to the sensor means and passes below an analyzable frequency, and an A / D converter which converts the input data of the passed frequency into a digital signal. , Store the sample value converted into the digital signal and select α from among the sample values.
Fast Fourier transform unit for calculating the voltage per unit time of the wave and β wave, and the average value of the voltage per unit time of the α wave and β wave described above, and The central processing unit having the built-in arithmetic expression and the central processing unit are linked to the central processing unit, and the time between inhalation and exhalation in one breath is gradually lengthened as the level n calculated by the arithmetic expression increases or decreases. A storage device storing a data map, and a voice control unit that is linked to the central processing unit and emits a breathing guidance sound for inspiring / exhausting start guidance in accordance with each level n of the data map. EEG management respiratory training device. 2. The electroencephalogram management breathing training apparatus according to claim 2, wherein the voice control unit makes the frequency of the breathing-inducing sound different during inhalation and exhalation. 3. The sound control unit, in addition to the breath-induced sound, music, natural sound, etc. when the α value is larger than the β value in the average value of the voltage of the α wave and the β wave per unit time. The electroencephalogram-controlled respiration according to claim 1 or 2, wherein the pleasant sound is reproduced and the sound medium is controlled so as to stop the pleasant sound when the α value is smaller than the β value. Training equipment.