JP2000254239A - Magnetic therapeutic equipment - Google Patents

Abstract

PROBLEM TO BE SOLVED: To analyze biological signals, biologically feedback biological stimulating signals and optimally feedback control the strength of a magnetic field and frequency of an electromagnetic coil. SOLUTION: A sensor for detecting biological signals from a right brain and a left brain, a receiver 7 for biological feedback of sound signals and an electromagnetic coil 8 are provided on a head 13 to be mounted on a (biological) subject. Biological signals (brain waves) detected by the sensor 6 are input to a controller and input through an A/D converter to a fast Fourier transformer(FFT). Component waveforms of α-waves of the brain waves analyzed by the FFT are shown on a display 2. Biological stimulating signals including sound signals are biologically fedback from the receiver and feedback control signals from the electromagnetic coil 8 are formed so that the strength, frequency and operating time of a magnetic field output from the electromagnetic coil 8 are controlled.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention suppresses the strength of the magnetic field of a magnetic generator to a minimum level necessary for treatment of a living body and promotion of health, and optimally controls the strength and frequency of the magnetic field. The present invention also relates to a biofeedback type magnetic therapy device that can be configured as a portable type using a battery as a power source.

[0002]

2. Description of the Related Art It is said that there is a strong correlation between human physical and mental health and brain waves (biological signals).
In particular, when there is an abnormality such as a disease in the brain, the characteristics of the brain wave change as compared with the normal case, so that the abnormality in the brain can be detected by measuring the brain wave.

[0005] As is well known, brain waves are mainly classified into four types, ie, β waves, α waves, θ waves, and δ waves. The β wave is a brain wave which has a frequency of 13 to 25 Hz and appears when the person is nervous or anxious. Alpha wave is 7-1
It is an electroencephalogram that appears at a frequency of 3 Hz when the user concentrates on the mind and is immersed in things or when the mental state is stable. The θ wave has a frequency of 3 to 7 Hz and is an electroencephalogram that appears during a light sleep state shortly after starting to sleep. The δ wave is a brain wave having a frequency of 0.5 to 3 Hz and appearing in a deep sleep state during a deep sleep.

As described above, four different types of brain waves appear in accordance with the frequency of the component. However, by applying a stimulus to the brain, the ratio of α-waves that are highly relevant to the stability of the mental state as described above increases. Is known to be. Sound, light, electromagnetic waves, and the like are used as stimuli to be applied to the brain.
It has been clarified that irradiating electromagnetic waves to the brain is effective in treating brain diseases, so a magnetic therapy device that attaches a head with an electromagnetic coil to the head has been developed. I have. This magnetic therapy device is also useful for health management and health promotion by stabilizing the mental state.

In the magnetic therapy device, a magnetic field such as a constant magnetic field, a rotating magnetic field, and an electromagnetic field is generated in the electromagnetic coil, but the magnitude of the magnetic field is fixed, and the biological signal (brain wave) is detected and analyzed. The feedback control based on the result of the analysis is not performed. As described above, the magnetic therapy device has a built-in power supply, a magnetic field control unit, and the like, so that the entire device is heavy and large in size.

[0006]

The conventional magnetic therapy device is
Since the intensity and frequency of the magnetic field generated by the electromagnetic coil are fixed, there is a problem that the therapeutic effect and health promotion cannot be sufficiently achieved. In addition, since the intensity of the magnetic field is several thousand gauss, the size of the device is large, and a commercial power source is used as the power source. For this reason, there is a problem that an individual cannot use the magnetic therapy device easily at home or outdoors. Further, there is a problem in terms of safety because the strength of the magnetic field is large.

In view of the above problems, the present invention suppresses the magnetic field strength of a magnetic generator to a minimum level necessary for treatment of a living body and promotion of health, and optimally adjusts the magnetic field strength and frequency. An object of the present invention is to provide a magnetic therapy device that can be configured as a portable type by using a battery as a power source while performing a feedback control.

[0008]

SUMMARY OF THE INVENTION It is an object of the present invention to provide a magnetic therapy apparatus, comprising: a sensor for detecting biological signals of right and left brains; and a receiver for biofeedback of biological stimulation signals. A head provided with an electromagnetic coil, and a control device connected to the sensor, the receiver, and the electromagnetic coil, wherein the control device analyzes a biological signal detected by the sensor; A first control unit for forming a control signal to be fed back to the electromagnetic coil based on the result, a display unit for simultaneously displaying the analyzed biological signals of the right and left brains, and a second unit for controlling a biological stimulation signal. This is achieved by adopting a configuration provided with the control unit.

According to a second aspect of the present invention, in the magnetic therapy apparatus according to the first aspect, the arithmetic unit converts a biological signal detected by a sensor and converted into a digital signal into a high-speed signal.
It is characterized by performing Rier transform and analysis.

According to a third aspect of the present invention, in the magnetic therapy apparatus according to the first or second aspect, a poor contact between the sensor and the living body is determined and the fact is notified. .

According to a fourth aspect of the present invention, there is provided the magnetic therapy apparatus according to any one of the first to third aspects,
A voice signal is used as the biological stimulus signal.

According to a fifth aspect of the present invention, there is provided a magnetic therapy device according to any one of the first to fourth aspects,
The sound signal is mixed with the sound output of an external sound output device that is rhythm-modulated and biofeedback is performed on a living body.

According to a sixth aspect of the present invention, there is provided the magnetic therapy apparatus according to any one of the first to fifth aspects,
The overall size is selected to be a postcard size or a B6 size, and is characterized by being configured as a portable type.

According to a seventh aspect of the present invention, in the magnetic therapy apparatus according to the first or second aspect, the arithmetic unit analyzes a biological signal of a right brain and a left brain to generate a plurality of waveform components having different characteristics. And the display unit simultaneously displays a plurality of waveform components having the different characteristics in a multi-window, respectively.

Further, the invention according to claim 8 is characterized in that the display section is constituted by a moving image display screen.

[0016] By adopting such a configuration according to the first aspect, the biological signal detected by the sensor is analyzed,
Based on the result, biofeedback of the biological stimulation signal and feedback control of the electromagnetic coil are used together. For this reason, health can be promoted, and it is particularly effective for treating brain diseases. Moreover, it can be operated safely without any side effects.

By adopting the configuration according to claim 2,
Since the biological signal is FFT-transformed and analyzed, the frequency characteristics of the biological signal can be accurately analyzed.

[0018] By adopting the structure described in claim 3,
The detection failure of the biological signal detected by the sensor can be confirmed, and appropriate measures can be taken. For this reason, the reliability of the measured biological signal can be improved.

By adopting the structure described in claim 4,
Since the audio signal is bio-feedback by the receiver, the subject can use the magnetic therapy device without feeling uncomfortable.

By adopting the structure described in claim 5,
The subject can perform biofeedback of the biological stimulation signal in a relaxed state.

According to the configuration of the sixth aspect,
Individuals can use the magnetic therapy device easily and safely at home or outdoors.

By adopting the structure described in claim 7,
Since the analysis result of the biological signal is simultaneously displayed in a multi-window as a plurality of different waveform components, the current state of the biological body can be visually recognized from multiple angles.

[0023] By adopting the structure described in claim 8,
The subject can use the magnetic therapy device with a close feeling.

[0024]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of the magnetic therapy device according to the present invention will be described below with reference to the drawings. FIG. 1 is a schematic block diagram of a magnetic therapy device. In FIG. 1, reference numeral 1 denotes a main body case of a magnetic therapy device which is configured as a portable type.
It is configured to be about the size of a format. 2 is a liquid crystal (Liq
A display using a liquid crystal display (LCD) 3 is an input unit, 4 is a power supply code, and 4a is a charger.

The power cord 4 is a 100 V AC commercial power supply.
To charge the secondary battery attached to the charger 4a. The charged secondary battery is used as a power source for portable health appliances. Further, the primary battery can be used as a power source for the portable health appliance. Further, an adapter may be provided in the main body case 1 to convert the supplied alternating current into direct current and use it as a power source for the magnetic therapy device.

A battery similar to that of a portable radio or the like is provided on the back surface of the main body case 1 opposite to the display section 2 for storing a secondary battery or a primary battery serving as a power source of the portable health appliance as described above. A storage section is provided, and the lid is opened and closed to store and replace the battery. The power supply device is provided with a power switch. 9
Is an external audio output device such as a tape recorder, 10 is an external computer, 11 is an external storage device such as a hard disk, 1
Reference numeral 2 denotes a target living body. A control device is provided inside the main body case 1.

The head 13 mounted on the living body 12 is provided with a sensor 6 for detecting biological signals of the right and left brains, a receiver 7 for biofeedback of audio signals, and an electromagnetic coil 8. Further, these sensors 6,
A connection portion 13a to which a receiver 7, an electromagnetic coil 8, and a wiring from a control device described later are connected is provided.

FIG. 2 is a schematic block diagram of the magnetic therapy apparatus. The sensor 6, the receiver 7, and the electromagnetic coil 8 are connected to the control device 5 as described above. Next, the configuration of the control device 5 will be described. Reference numeral 5a denotes a central processing unit (hereinafter abbreviated as CPU) for performing various operations as described below and forming signals, and 5b denotes an R in which a management program and the like are stored.
Reference numerals OM and 5c denote RAMs for storing data and voice signals of the biological signals detected by the sensor 6.

5d is an amplifier for amplifying biological signals of the right and left brain detected by the sensor 6, 5e is an A / D converter for converting an analog output signal of the amplifier 5d to a digital signal,
Reference numeral 5f denotes a fast Fourier converter (Fast Fourier Tr) for Fourier-transforming the output signal of the A / D converter 5e.
5g is a signal processing unit for forming an audio signal, 5h is a timer, 5i is an audio signal control circuit,
5j is a signal processing unit for forming a control signal to be applied to the electromagnetic coil 8, and 5k is a contact detection unit for detecting a contact failure of the sensor.

Next, the operation of the control device 5 will be described. The sensor 6 samples analog biological signals of the right and left brains of the living body 10 at regular time intervals. The analog biological signal detected by the sensor 6 is input to the amplifier 5d. The amplifier 5d removes a noise component from the input analog signal by a filter and then amplifies the noise component.
It is input to the D converter 5e. The A / D converter 5e converts a biological signal of an analog signal into a digital signal, and converts the signal into a signal line S1.
To the CPU 5a. Also, the signal line S2 to the FF
Output to T5f.

If the magnitude of the detection signal input to the CPU 5a from the contact detection unit 5k is equal to or less than a predetermined level, it is determined that the contact state between the sensor 6 and the living body 10 is bad, and a message to that effect is displayed. The subject is notified by displaying it on the device 2 or outputting sound from the receiver 7 to urge the sensor 6 to be remounted. If the sensor 6 is normally attached to the living body 12 and the level of the input detection signal is equal to or larger than a predetermined value, the CPU 5a performs a frequency analysis of the biological signal and performs
Waves, α waves, θ waves, and δ waves are divided into four types, and addresses are designated and stored in the RAM 5c.

The detection of a contact failure between the living body 10 and the sensor 6 will be described. A standard voltage is periodically applied between the living body 4 and the sensor 6, and a contact current value flowing at this time is detected through the contact detection unit 5k. The contact resistance is calculated from the applied voltage and the contact current, and if the contact resistance value is equal to or more than a certain value, it is determined that the living body 4 and the sensor 6 are in poor contact.

The biological signal input to the FFT 5f from the signal line S2 is subjected to a predetermined FFT process, whereby a spectrum component in a frequency band is obtained and input to the CPU 5a. FF
The resolution of the biological signal by T5f is, for example, 0.1 Hz. The CPU 5a also performs frequency analysis on the biological signal input from the FFT 5f, divides the biological signal into four types of β waves, α waves, θ waves, and δ waves, specifies an address, and specifies an address.
To be stored. As described above, since the biological signal detected by the sensor 6 is processed by the FFT, the frequency characteristics of the biological signal can be accurately analyzed.

The CPU 5a reads out the audio signal stored in the RAM 5c, forms an optimal biofeedback signal by the signal processing unit 5g based on the result of the analysis of the biological signal, and outputs the signal to the receiver 7. . The processing of the signal processing unit 5g performs modulation control on the audio signal read from the RAM 5c.

It is common practice to control the modulation of this audio signal to listen to the audio signal from the receiver, as in the case of listening to music tapes. As you can hear the audio signal.

The control unit 5 biofeeds back the voice generated by the signal processing unit 5g, and outputs the control signal generated by the signal processing unit 5j to the electromagnetic coil 8 to control the frequency and magnetic field of the electromagnetic coil 8. Control the strength and operating time. The biological signal (brain wave) detected at a predetermined cycle as described above is sampled from the sensor 6 and input to the control device 5, and based on the detected biological signal, biofeedback with a voice as a biological stimulus signal is performed. Then, feedback control by the electromagnetic coil 8 is performed.

Next, a description will be given of the biofeedback by the audio signal to the receiver 7 and the feedback control of the electromagnetic coil 8. The output time of the audio signal to the receiver 7 can be set arbitrarily. As an example, for example, the time is set to "5 minutes" to "25 minutes" at intervals of 5 minutes, the time is displayed on the display unit every 5 minutes, and this time is selected with a mouse or a cursor.

The biofeedback process modulates the audio signal read from the RAM 5c based on the frequency analysis result of the biological signal so that the component of the .alpha. Center frequency becomes particularly large. During execution of such biofeedback, a biological signal is detected by the sensor 6, and the above-described analysis is performed.

There is an individual difference in the pattern of the frequency component of the biological signal in a stable state. For this reason, when the subject is in a mentally calm and comfortable state, the data at that time is obtained.
The data is stored in the memory by designating the storage area as described above. Also, the voice signal data at this time is written into the voice signal storage area of the RAM 5c, and from the next time, the biographies are guided to the stable data unique to each individual stored in the memory. Controls the backup.

As described above, by giving a kind of learning effect, it is possible to quickly lead to a mentally stable state. During biofeedback, the display 2
For example, a message saying "Biofeedback is in progress. Please close your eyes and try to relax while listening to the sound from the receiver." It can be.

When biofeedback of an intermittent sound signal is performed, background music (BGM) such as music or natural sound is transmitted from an external sound output device 9 such as a tape recorder to a sound signal control circuit. Via 5i,
The audio signal can be mixed with the audio signal and output from the receiver. By outputting such a BGM, the subject can perform biofeedback in a relaxed state.

At this time, although not shown, the subject adjusts the volume provided on the magnetic therapy device to speed up or slow down the rhythm of the background music (BGM). That is, by modulating the rhythm of BGM,
It can be operated to obtain an optimal relaxed state. Such modulation of the BGM rhythm can be realized by converting an analog audio signal input from the external audio output device 9 into a digital signal in the audio signal control circuit 5i and performing predetermined signal processing.

In the above example, the audio signal is bio-feedback, but the biostimulation signal to be bio-feedback is not limited to voice. In the present invention,
As described above, the present invention can be applied to a biofeedback in which eyes are stimulated by the intensity of light and a biofeedback in which skin is stimulated by a needle. In addition, vibration,
All biological stimulus means such as ambient temperature and color are also used as biological stimulus signals, and biofeedback is performed on these biological stimulus signals.

Next, feedback control for the electromagnetic coil 8 will be described. If it is found that there is a disease in the brain by analyzing the components of the brain wave detected by the sensor, together with the biofeedback of the biostimulation signal,
It has been found that by applying a magnetic field generated from an electromagnetic coil to a living body, the components of brain waves are brought close to normal characteristics, that is, it is effective in treating brain diseases.

In this method, the electric activity and metabolism of brain nerve cells are improved by applying a magnetic field generated from an electromagnetic coil to a living body together with biofeedback of a biological stimulation signal, and cerebral vascular resistance is reduced. In addition, the blood flow in the brain can be increased, and the utilization rate of oxygen can be improved. A brain disease is treated by such a combined effect.

In the present invention, the electroencephalogram detected from the living body is analyzed using the electromagnetic coil 8 as described above, and the magnitude, frequency, and operation time of the magnetic field generated from the electromagnetic coil 8 are detected in real time. Is back. However, the magnetic field applied to the living body is not limited to the electromagnetic coil, and a magnetic generator having another shape can be used. For example, it is also possible to use a magnetic generator in which the magnetic generator is formed in a linear or plate shape.

The result of the frequency analysis of the biological signal is stored in the external storage device 11. By storing the frequency analysis result of a good waveform during the execution of biofeedback, the stored data can be reproduced and used as a reference signal in the next operation. .
The external storage device 11 can store a plurality of brain wave measurement results for each channel. The date and time of measurement are set for each data by the timer 5h and stored in the storage area.

As an example of using the channels, the measurement results of the electroencephalogram can be stored in different channels for each time zone of the day. For example, the EEG channel 1 is used for morning data, the EEG channel 2 is used for daytime data, and the EEG channel 3 is used for nighttime data.

When it is necessary to analyze the measured biological signal in more detail and display it on a display screen, or when it is necessary to accumulate data, an external computer 10 is connected with a dedicated cable. Then, the above-described processing is performed by transferring data and remotely controlling the external computer 10.

The display 2 composed of an LCD employs a graphic type liquid crystal display module.
The one having 128 pixels is used. The display screen of the display 2 includes a “operation mode setting screen”, a “biological signal display screen using continuous waves”, a “biological signal display screen using continuous waves processed by FFT”, and an “α wave expansion using a bar graph”. "Display screen", "Beta-wave enlarged display screen by bar graph", "Save screen of biological signal analysis result in memory", "Setting screen of playback mode of stored biological signal", "Biofeedback time selection screen""," Biofeedback implementation screen ",
Operation modes such as a "PC connection screen" and a "sensor contact failure screen" are displayed.

As shown in FIG. 3, the input unit 3 has a switch 3a for instructing operation and stop of the magnetic therapy device.
A switch 3b for switching the display screen of the display 2 to display the operation mode, a switch 3c for determining selection of the setting screen displayed on the display 2, and whether to execute the operation mode of the setting screen (OK). Switch 3d to select whether to cancel (NG)
Is provided.

Next, an operation example of the display 2 and the input unit 3 will be described with reference to the explanatory views of the display screens of FIGS.
FIG. 3 shows an example in which an “operation mode setting screen” is displayed on the display 2. In FIG. 3, the switch 3a is turned on to start the operation of the magnetic therapy device.

At this time, the display screen 2A of the display 2 includes
"EEG measurement" (A1), "Biofeedback" (A
2) Selection items of "play" (A3) and "PC connection" (A4) are displayed. Each time the changeover switch 3b is pressed on this display screen, the background screen of the selection items of A1, A2, A3, and A4 is sequentially inverted.

When the user selects "measurement of electroencephalogram" (A1) and presses the decision switch 3c, the screen of the display 2 changes to the display screen 2B of FIG. The display screen 2B includes “direct display of brain waves” (B1), “display of brain waves FFT” (B2), “display of α waves” (B3), “display of β waves” (B4), and “return to the previous screen” (B5). ) Is displayed.

"EEG direct display" (B1) is selected, and the enter switch 3c is pressed to confirm the selected item. Since the selected operation mode is highlighted, the selected operation mode can be confirmed with certainty. Next, when the execution switch (OK) 3d is pressed, the portable health appliance executes a job of direct display of brain waves. In this process, the biological signals of the right and left brains detected by the sensor 6 are A /
The signal is directly input from the D converter 5e to the CPU 5a via the signal line S1. The biological signal is stored in a predetermined area of the RAM 5c after frequency analysis is performed by the CPU 5a.

FIG. 5 shows a display screen 2C of the display 2 at this time.
It shows. In FIG. 5, for example, a screen C1 displays a biological signal of the right brain, and a screen C2 displays a biological signal of the left brain. The display 2 is a graphic liquid crystal display module as described above.
Since the electronic device employs the electronic device, the biological signal can be displayed as a graphed image. Therefore, the characteristics of the biological signal can be visually confirmed instantaneously.

On the horizontal axis of this screen, the frequency FHz is displayed, and on the vertical axis, the level V is displayed. The display of the display screen 2C is
It is updated every time the sensor 6 measures the biological signal.
Since the biological signals of the right and left brains of the living body have different characteristics for each living body, fine health care can be performed by separating and displaying the biological signals of the right and left brains as shown in FIG. .

In FIG. 4, "EEG FFT display" (B
When 2) is selected, the display 2 switches to the display screen 2D of FIG. Also at this time, the screen D1 displays the biological signal of the right brain, and the screen D2 displays the biological signal of the left brain in correspondence with the display screen of FIG. In this process, the biological signals of the right and left brains detected by the sensor 6 are input from the A / D converter 5e to the FFT 5f from the signal line S2, and a predetermined FFT process is executed to obtain the frequency band spectral components. And
It is stored in a predetermined area of the RAM 5c through the CPU 5a. The spectrum component of the frequency band of the biological signal stored in a predetermined area of the RAM 5c is displayed on the display screen.

In the electroencephalogram FFT display of FIG. 6, the average value of the spectrum components is displayed. The frequency band displayed at this time is 3 to 30 Hz, and the frequency resolution is 0.1 H
z, the screen is updated every measurement cycle of the biological signal. Also, the marker may be set at the position of the maximum peak of the frequency, and the numerical value of this frequency may be displayed on the upper right of the screen.

In the above example, the operation mode is displayed in characters on the display screen of the display unit 2, and the selected operation mode is displayed with its item highlighted, but in the present invention, the item is selected. The operation mode is displayed as a moving image, so that a more familiar structure can be obtained. 7 and 8 show selected operation modes.
FIG. 10 is an explanatory diagram showing an example in which a video is displayed on a display screen as a moving image.
7 and 8, the operation mode items correspond to the example of FIG. 3, and the display screen 2H displays selection items H1 to H4.

In the position of ha of each of the selection items H1 to H4,
Characters such as dolls and floppy desks simulating human faces are arranged. At the position of hb, the operation mode displayed at the position of hc is indicated by a symbol. This symbol is displayed as a waveform in the case of "measurement of electroencephalogram", and an arrow inverting the direction in the case of "biofeedback", and a symbol associated with the operation mode is displayed. -Can be determined.

Here, the character placed at the position of ha has its eyes and mouth closed and enters a standby state when the corresponding operation mode is not selected. The star s is sequentially moved to the positions H1 to H4 by the changeover switch 3b,
The star s is stopped at the position corresponding to the selected operation mode. Next, when the selection of the operation mode is determined by the determination switch 3c, the corresponding character opens his eyes and mouth and changes to a smile.

That is, the character arranged at the position of ha functions as a moving image whose expression changes depending on whether the corresponding operation mode is selected. In the present invention, a graphic liquid crystal display module is used as the display 2, and the above-described moving image can be displayed on a display screen by applying an image processing technique. By displaying such a moving image, the subject can use the magnetic therapy device with a close feeling.

The processing by the external computer 10 is performed by selecting an item on a menu selection screen of the display. The data processed by the magnetic therapy device is transferred to an external computer 10, and the external computer 10
The data is analyzed with. The analyzed data is displayed on the display 2 and stored in the memory of the external computer 10. The data stored in the memory of the external computer 10 can be read out by a magnetic therapy device and displayed and necessary processing can be performed.

As described above, when reproducing the data stored in the external storage device 11, the item of reproduction on the menu selection screen of the display is selected. Thereafter, by selecting an appropriate brain wave channel 1 to 3, data stored in the brain wave channel is read out as a reference signal,
Based on this signal, biofeedback control of the biological stimulation signal and feedback control of the electromagnetic coil are performed.

The display screen of the display may be constituted by a touch panel, and the operation mode may be selected by touching an item displayed on the display screen. When the operation mode is selected by the touch panel in this manner, the display items can be easily selected, and erroneous operation of the magnetic therapy device can be prevented.

In the above example, the external dimensions of the portable magnetic therapy device are described as being formed to a size of about B6 (182 mm × 128 mm). However, the external dimensions of the magnetic therapy device of the present invention are as follows. It can be set appropriately in consideration of the convenience of carrying. For example, postcard size (145 mm x 1
(00 mm). Therefore, the external dimensions of the magnetic therapy device of the present invention are intended for the size of postcard size or B6 size. For example, the external size of the magnetic therapy device is 160 mm ×
Select 110mm.

As described above, by configuring the magnetic therapy device in a portable form using a battery as a power source, the strength of the magnetic field is suppressed to the minimum necessary for the treatment of brain disease and health promotion.
The magnetic therapy device can be used easily and safely anywhere, such as outdoors or in a car, and at any time.

FIG. 9 is a flowchart showing the processing procedure of the present invention. Next, this flowchart will be described. In step S1, a magnetic therapy processing program is read from the ROM 5b, and the processing is started. In step S2, a subroutine process of the initialization module is performed. Next, in step S3, sampling of the brain wave data and subroutine processing of the analysis module of the sampled brain wave data are performed.

Next, in step S4, the magnetic therapy device is
Subroutine processing of the debug control module is performed.
Subsequently, it is determined in step S5 whether or not the treatment time has ended. If the determination result is NO (hereinafter abbreviated as N), the process returns to step S3 and subsequent steps.

If the decision result in the step S5 is YES (hereinafter, referred to as "YES").
If abbreviated as Y), the process proceeds to step S6,
Subroutine processing of the CRT display module is performed, and the processing program ends in step S7.

FIG. 10 is a flowchart showing the procedure of the subroutine processing of the initialization module. Next, this flowchart will be described. In step S21, the program of the initialization module is started. Step S22
Now, the cosine (COS) for fast Fourier (FFT) transformation
Create a table.

Next, in step S23, an A / D output waveform table is created in order to convert a digital signal formed by the control device into an analog signal and control a waveform to be output to the outside. The brain wave component input from the sensor is analyzed using the A / D output waveform table.

Subsequently, a date is entered in step S24,
In step S25, the subject name, age, and gender are input. In step S26, a data file is created. This data
Data file is created by calculating the Keser window function,
It is used when performing an FFT transform on a brain wave which is a detected biological signal. The Keser window function eliminates data noise that has not been removed by the filter and improves the accuracy of FFT.

FIG. 11 is a flow chart showing the procedure of brain wave sampling and subroutine processing of the analysis module.
It is. Next, this flowchart will be described.
In step S31, the processing program is started. Next, in step S32, it is set so that the process of converting the brain wave input as an analog signal into a digital signal is performed by interruption. This interrupt is turned on and sampling of the electroencephalogram is started.

As described above, since the brain waves (biological signals) are sampled by interruption, data analysis and FFT processing can be performed during the sampling interval. In step S33, it is determined whether the brain wave sampling is completed. If the result of the determination is N, the process returns to step S32, and if the result of the determination is Y, the process proceeds to the subroutine process of step S34.

In step S34, FFT processing is performed by multiplying the sampled data by the Keser window function. Next, in step S35, it is determined whether the brain wave analysis has been performed a predetermined number of times. S / N is performed by performing a predetermined number of EEG analysis and superimposing the analysis results.
The ratio is improved. If the decision result in the step S35 is N, the processing in the step S32 and thereafter is repeated.

If the decision result in the step S35 is Y,
Next, sampling is turned off in step S36, and the process proceeds to step S37. The processing in step S37 is
The α index I of the brain wave data subjected to the FT processing, that is, the brain wave index Iα, the center frequency Fm, and the total correlation function Coh within the α frequency range are calculated. Here, the correlation function Co
h is expressed by the frequency range power of the electroencephalogram α / the power of the whole electroencephalogram, and is a function that reflects the synchronization between the sampled left and right brains.

FIGS. 12 to 14 are flowcharts showing the procedure of the subroutine processing for real-time feedback control of the electromagnetic coil. Next, this flowchart will be described. In step S41, the processing program is started. Next, an objective function is calculated in step S42. This target function I is represented by I = Iα + Coh, and as a result of analyzing the sampled brain waves, shows what kind of signal is the brain wave that is the target of the living body at the present time.

Next, it is determined whether or not the electroencephalogram sampled in step S43 is the first data. If the result of this determination is Y, the process proceeds to step S48 and subsequent steps.
If the decision result in the step S43 is N, a step S4 is executed.
Go to step 4. In step S44, it is determined whether the measured brain wave is at a predetermined level, that is, whether the sensor and the living body are normally in contact.

If the decision result in the step S44 is Y,
In step S45, the frequency range of the feedback signal for the electromagnetic coil is automatically determined. Step S
If the result of the determination at 45 is N, and the sampled brain wave signal is far from a predetermined level, the data is discarded. In addition, voice or display prompts the subject to mount the sensor normally.

Even if the result of the determination in step S45 is N, if it is within the allowable range, then in step S46, the frequency range of the feedback signal for the electromagnetic coil is determined by calculation in the process of step S46 based on the measurement result of the brain wave. . Subsequently, it is determined in step S47 whether the electrical activity index of the brain is normal. In this process, it is determined whether the subject is in a relaxed state or a nervous state. As described above, it is possible to determine whether or not the subject is relaxed by analyzing the brain waves and looking at the characteristics of the α waves.

If the decision result in the step S43 is Y, the process proceeds to a step S48, and similarly to the process in the step S44, whether the measured brain wave is at a predetermined level, that is, the sensor and the living body are normally contacted. Determine if it is. If the result of this determination is Y, step S50
In the process (3), the frequency range of the feedback signal for the electromagnetic coil is automatically determined in the same manner as in the process in step S45.

Even if the determination result in step S48 is N, if the sampled brain wave signal is within the allowable range, then in step S49, the frequency of the feedback signal to the electromagnetic coil is obtained based on the measurement result of the brain wave in step S49. The range is determined by calculation.

If the decision result in the step S47 is N, that is, if it is determined that the subject is not relaxed, a long sound is output from the receiver in the process of the step S51, and the subject is relaxed. Call for attention.

In the process of step S52, an interrupt for D / A conversion is set, and the interrupt is turned on. The interrupt control controls the frequency, the strength of the magnetic field, and the operation time of the electromagnetic coil, and converts a control signal formed of a digital signal into an analog signal and applies the analog signal to the electromagnetic coil. With such control of the electromagnetic coil, feedback treatment of the brain is performed in step S53. When a preset time has elapsed, the interrupt control of D / A conversion is turned off in step S54.

FIG. 15 is a flowchart showing a subroutine processing procedure of the CRT display module. Next, this flowchart will be described. In step S61, the processing program is started, and then the process proceeds to the brain wave index display menu processing in step S62. In this process,
Whether to display any of the E wave, α wave, and β wave components of the brain wave, or to display all of them as shown in FIG.
Menu items, such as whether each component is displayed as a two-dimensional bar graph or a three-dimensional bar graph, are numbered and displayed on the CRT.

In step S63, the number of the menu item displayed on the CRT is selected with a cursor or a mouse. Next, it is determined whether or not to end the treatment in the process of step S66. This determination can be made based on whether or not the characteristics of the subject's brain wave data match the characteristics of the normal brain wave data set in advance.

If the result of the determination in step S64 is N, the electroencephalogram measurement result is displayed on the CRT according to the selection made in the menu. If the decision result in the step S64 is Y, the processing program is ended in a step S66.

In the flowcharts described with reference to FIGS. 9 to 15, the external computer 10 is connected to the control device 5,
This is executed by controlling the external computer 10 remotely. When the external computer 10 is not connected,
In the main process of FIG. 9, the control device 5 performs processes other than the initialization module in step S2 and the CRT display module in step S6. Although the flowchart of the display process at this time is omitted, the display of the biological signal as described with reference to FIGS. 5 and 6 is appropriately performed based on the signal processing by the control device 5.

As shown in FIG. 1, by forming the magnetic therapy device in a portable form, the individual can be used at any time while moving between living rooms in a home or between rooms such as a bedroom. In addition, there is an advantage that it can be freely carried on a trip or a destination, and can be used at any time. However, the accuracy of data analysis is low because a battery is used as the power supply, and the display content of the biological signal (brain wave) is limited to a simple one due to the small display screen. Furthermore, since it is configured for personal use, there is a problem that the amount of accumulated data is small and cannot be used for business use in hospitals and the like.

Therefore, in another embodiment of the present invention, it is possible to analyze the data of the biological signal (brain wave) with high accuracy by increasing the processing capacity, accumulate a large amount of data, and enlarge the display screen. Then, the magnetic therapy device is improved so that the analysis result of the biological signal can be displayed in more detail.

FIG. 16 is an explanatory view showing the structure of such an improved magnetic therapy apparatus. In this example, the display 2 of the computer 14 uses a cathode ray tube (CRT) or liquid crystal (LCD), and the size of the display screen is selected to be, for example, about 15 inches. The input unit 3 uses a keyboard or a mouse. The control device 5 is provided with a CPU having a high processing capacity and a memory having a large storage capacity.

As described above, in the configuration shown in FIG. 16, since the magnetic therapy device uses a large-screen display device, a CPU having a high processing capability, and a control device provided with a memory having a large storage capacity, the biological signals are detailed. The results are displayed in real time with various waveforms so that the state of the subject's brain can be clarified. Also, since a large amount of data can be stored, it can be used for a large number of subjects, and a magnetic therapy device optimal for business use in hospitals and the like can be obtained.

FIG. 17 shows a display screen of the display unit 2 in the magnetic therapy device having the configuration of FIG. In FIG. 17, X1 is a screen that Fourier-transforms the brain waves of the left brain and displays them as a three-dimensional waveform, and X2 is a screen that Fourier-transforms the brain waves of the right brain and displays them as a three-dimensional waveform. This three-dimensional waveform is displayed in color in an appropriate color. The frequency band displayed at this time is 3 to 30 Hz, and the frequency resolution is 0.1.
Hz and the screen are updated every measurement cycle of the biological signal. Also,
The marker may be set at the position of the maximum peak of the frequency, and the numerical value of this frequency may be displayed on the upper right of the screen.

A screen Y1 shows a change in the θ wave component in the brain wave of the left brain in a bar graph, and a screen Y2 shows a change in the θ wave component in the brain wave of the right brain in a bar graph. Further, Z1 is a screen showing a change in the α-wave component in the brain wave of the left brain in a bar graph, and Z2 is a screen showing a change in the α-wave component in the brain wave of the right brain in a bar graph. Further, W1 is a screen showing a change of the β wave component in the brain wave of the left brain in a bar graph, and W2 is a screen showing a change of the β wave component in the brain wave of the right brain in a bar graph.

On the screens of Y1, Y2 and W1, W2,
A bar graph similar to the screens of Z1 and Z2 is displayed, but θ
A bar graph is formed with different colors for the components of the wave, β wave, and α wave. The horizontal axis of this screen displays the frequency, and the vertical axis displays the level of the brain wave component. The display of each screen is
It is updated every measurement cycle of the biological signal by the sensor 6.

Since the biological signals of the right and left brains of the living body have different characteristics for each living body, the biological signals of the right and left brains are separated and displayed as shown in FIG. The status can be displayed in real time. In addition, since a plurality of waveforms having different characteristics are simultaneously displayed in the multi-window, the current state of the living body can be visually recognized from multiple angles. Further, instead of displaying the electroencephalogram component in a two-dimensional bar graph, a configuration in which the electroencephalogram component is displayed in a line graph or a three-dimensional bar graph on each screen may be adopted. These display screens are updated every measurement cycle of the biological signal.

The waveforms displayed on these Y1-W2 screens are obtained by converting the biological signal detected by the sensor 6 into an A / D converter 5e.
Can be directly input to the CPU 5a, and the analysis result can be displayed without performing the FFT conversion. In this case, the displayed waveform is a simple waveform such as a line graph, but since the FFT processing is not performed, there is an advantage that the processing can be performed quickly. When the magnetic therapy device is activated, an item for selecting a menu of various operation modes of the magnetic therapy device is displayed on the display.

As described above, in the present invention, the biological signal detected by the sensor is analyzed, and based on the result, the biofeedback of the biological stimulus signal and the feedback control of the electromagnetic coil are used in combination. I have. This improves the electrical activity and metabolism of brain nerve cells and reduces cerebral vascular resistance. In addition, the blood flow in the brain can be increased, and the utilization rate of oxygen can be improved. Such combined effects are particularly effective in treating brain diseases.

[0101]

As described above, according to the present invention, by adopting the structure of the first aspect, the biological signal detected by the sensor is analyzed, and the biofeedback of the biological stimulus signal is performed based on the result. And feedback control of the electromagnetic coil. For this reason, health can be promoted, and it is particularly effective for treating brain diseases. Moreover, it can be operated safely without any side effects.

According to the structure of the second aspect,
Since the biological signal is FFT-transformed and analyzed, the frequency characteristics of the biological signal can be accurately analyzed.

According to the third aspect of the present invention,
The detection failure of the biological signal detected by the sensor can be confirmed, and appropriate measures can be taken. For this reason, the reliability of the measured biological signal can be improved.

According to the structure of the fourth aspect,
Since the audio signal is bio-feedback by the receiver, the subject can use the magnetic therapy device without feeling uncomfortable.

According to the structure of the fifth aspect,
The subject can perform biofeedback of the biological stimulation signal in a relaxed state.

According to the structure of the sixth aspect,
Individuals can easily use the magnetic therapy device at home or outdoors.

According to the seventh aspect of the present invention,
Since the analysis result of the biological signal is simultaneously displayed in a multi-window as a plurality of different waveform components, the current state of the biological body can be visually recognized from multiple angles.

According to the structure of the eighth aspect,
The subject can use the magnetic therapy device with a close feeling.

[Brief description of the drawings]

FIG. 1 is a block diagram of a magnetic therapy device according to an embodiment of the present invention.

FIG. 2 is a block diagram of a control device provided in the magnetic therapy device of FIG. 1;

FIG. 3 is an explanatory diagram showing an example of a display screen of a display of the magnetic therapy device of FIG. 1;

FIG. 4 is an explanatory diagram showing an example of a display screen of a display of the magnetic therapy device of FIG. 1;

FIG. 5 is an explanatory diagram showing an example of a display screen of a display of the magnetic therapy device of FIG. 1;

FIG. 6 is an explanatory diagram showing an example of a display screen of the display of the magnetic therapy device of FIG. 1;

FIG. 7 is an explanatory diagram showing an example of a display screen of the display of the magnetic therapy device of FIG. 1;

FIG. 8 is an explanatory diagram showing an example of a display screen of a display of the magnetic therapy device of FIG. 1;

FIG. 9 is a flowchart showing a processing procedure of the present invention.

FIG. 10 is a flowchart showing a processing procedure of the present invention.

FIG. 11 is a flowchart showing a processing procedure of the present invention.

FIG. 12 is a flowchart showing a processing procedure of the present invention.

FIG. 13 is a flowchart showing a processing procedure of the present invention.

FIG. 14 is a flowchart showing a processing procedure of the present invention.

FIG. 15 is a flowchart showing a processing procedure of the present invention.

FIG. 16 is an explanatory diagram showing an example using a computer.

FIG. 17 is an explanatory diagram showing an example of a display screen of the display device of FIG.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Main body case of magnetic therapy device 2 Display 3 Input part 4 Living body 5 Control device 5a CPU 5c RAM 5e A / D converter 5f FFT 5i Audio signal control circuit 6 Sensor 7 Receiver 8 Electromagnetic coil 9 External audio output Apparatus 10 External computer 11 External storage device 12 Living body 13 Head 14 Computer used for magnetic therapy device

Claims (8)

[Claims] 1. A sensor for detecting biological signals of the right and left brains, and a receiver for biofeedback of a biological stimulus signal.
And a head provided with an electromagnetic coil, and a control device connected to the sensor, the receiver and the electromagnetic coil,
The control device includes a calculation unit that analyzes a biological signal detected by a sensor, a first control unit that forms a control signal that feeds back to an electromagnetic coil based on the analysis result, and the analyzed right brain. And a display unit for simultaneously displaying biological signals of the left brain and a second control unit for controlling a biological stimulation signal. 2. The magnetic therapy apparatus according to claim 1, wherein the arithmetic unit performs a high-speed Fourier transform on the biological signal detected by the sensor and converted into a digital signal and analyzes the signal. 3. The magnetic therapy device according to claim 1, wherein a faulty contact between the sensor and the living body is determined and the fact is notified. 4. The magnetic therapy device according to claim 1, wherein an audio signal is used as the biological stimulation signal. 5. The magnetic therapy device according to claim 1, wherein the sound signal is mixed with the sound output of an external sound output device that is rhythm-modulated and biofeedback is performed on a living body. 6. The magnetic therapy apparatus according to claim 1, wherein the overall size is selected from a postcard size or a B6 size and is configured as a portable type. 7. The arithmetic unit analyzes a biological signal of a right brain and a left brain to form a plurality of waveform components having different characteristics, and the display unit simultaneously displays the plurality of waveform components having the different characteristics in a multi-window. The magnetic therapy device according to any one of claims 1 to 5, wherein 8. The magnetic therapy device according to claim 1, wherein the display unit is configured by a moving image display screen.