JPS60198160A - Biofeedback apparatus - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

DETAILED DESCRIPTION OF THE INVENTION [Technical Field] The present invention relates to a biofeed bank device that detects biological information such as brain waves, digitally processes the information, and reports the information.

More specifically, the present invention converts detected biological information signals such as brain waves into digital signals, then performs spectrum analysis, and based on the results of the spectrum analysis, displays, speech synthesis devices, It is designed to drive a tape recorder, etc.

[Prior Art] In recent years, devices configured to grasp changes in biological information based on biological information such as skin resistance, myoelectric potential, blood pressure, and brain waves have been actively developed.

Among these biological information, many so-called biofeedback devices are known that are aimed at detecting alpha waves, beta waves, and the like regarding brain waves. Here, biofeedback refers to “Biofeedback” by Robert M. Stern and William J. Ray.
As stated in ``Biofeedbank'', ``A biofeedbank is a system that uses monitoring devices (usually electrical) to detect and amplify physiological changes within an organism, making information available that would otherwise not be available.'' It is defined as "to feed bank exactly to that person in a specific way" (translated by Nishiki Yochu, Masato Sogo, Takako Ito, published by Kinokuniya Shoten). Generally, biofeedback training is performed using such a biofeedback device to determine the state of a living body and thereby self-regulate the body and mind so as to calm it down.

Conventionally known biofeedbank devices perform stepwise visual display according to the level of detected biological information (for example, see Japanese Patent Application Laid-Open No. 54-104F189), or display the frequency and level of brain waves. Changes in biological phenomena are notified by emitting audible sounds in a superimposed manner or continuously (for example, see Japanese Patent Laid-Open No. 57-22742). Also known is a biofeedback device (see Japanese Patent Publication No. 5B-347) that emits rhythmic sounds to help the operator (subject) maintain mental stability.

Furthermore, there are also known learning devices and training devices that are configured to increase learning effects in combination with a tape recorder or the like.

However, these conventional biofeedback devices are mainly configured with analog circuits, such as a filter for analyzing the frequency of biological information and a detector for detecting the brain wave level.

As a result, the following disadvantages can be pointed out.

1st. The circuit for processing the detected brain wave signals etc. becomes complicated and delicate, and also becomes less reliable.

Second. Since the brain wave frequency band is a very low band of 0.5Hz to 32Hz, when using a normal analog integrator, a long-term product is required to increase the measurement resolution.
II moromi 1111 or Ipj, + sous 3rd. The notification content for feeding back the state of the living body becomes simple (for example, various types of audible sounds cannot be generated),
Furthermore, it is difficult to appropriately control external devices.

4th. Furthermore, it was difficult to connect to a data processing mechanism such as a personal computer to accumulate biological information and perform statistical calculations.

[Object 1]] In view of the two points, an object of the present invention is to provide a biofeedback device that uses a voice synthesis circuit to generate an audible sound for feedback.

[Structure of the Invention] To achieve the above object, the present invention provides a biofeedback device that emits an audible sound in accordance with detected biological information, and a selection means for specifying an audible sound in accordance with the content of the biological information. , a storage means for storing basic information of the audible sound, and a synthesis means for synthesizing an audible sound signal based on the data read from the storage means.

It is preferable to configure the above-mentioned selection means to send address information of the storage means.

Further, address information for sequentially switching the designated portion of the storage means is sent from the above-mentioned selection means.

It may also be configured to emit an audible sound for a predetermined period of time.

[Example] The present invention will be described in detail below with reference to the drawings.

FIG. 1 shows an electroencephalogram analysis characteristic curve of a biofeedback device according to an embodiment of the present invention.

In this figure, the horizontal axis shows the electroencephalogram frequency [Hzl], and the vertical axis shows the electroencephalogram detection relative level (dB).

Beta (β) waves, which indicate a nervous state, are between 13 and 30.
Hz, relaxed and concentrated state (meditation session rest,
The alpha (α) wave, which represents concentration of consciousness, is 7.5 to 13H.
Theta (0) waves, which represent a state of being absent-minded and ``drowsy,'' occupy a band of 4 to 7.5 Hz. In addition, alpha waves include slow alpha waves (hereinafter referred to as α3), which are brain waves of 7, 5 to 9 Hz, mid alpha waves (hereinafter referred to as α2 waves), which are brain waves of 9 to 11 Hz, and fast alpha waves (hereinafter referred to as α2 waves). The brain waves are divided into three types: 11-13 Hz brain waves (hereinafter referred to as α1 waves). Note that delta (δ) waves of 0.5 to 411 z and gamma (γ) waves of 30 Hz or more are not output to the outside as measurement data of this embodiment. However, as will be described later, these δ waves and γ waves are detected in the process of spectrum analysis of brain waves.

FIG. 2 is a schematic block diagram showing the overall configuration of a biofeed puncture device to which the present invention is applied. In this figure, 2 is an epidermal electrode attached to the head, 4 is an isolation circuit including an ultra-low frequency amplifier 6 and a signal conditioner 8, and 10 is an A converting an electroencephalogram signal into a digital signal.
/D (Analog-to-Digital) conversion circuit.

Reference numeral 1B denotes an electroencephalogram signal processing circuit that includes an electroencephalogram component spectrum analysis circuit 12 that performs spectrum analysis of a discrete signal, and an electroencephalogram component analysis circuit 14 that performs functions such as selecting a maximum level spectrum among the electroencephalogram spectra.

18 is an A/D converter 1o and an electroencephalogram component analysis circuit 14
It is a controller for controlling the operation of.

20 is a synthetic sound generation circuit that generates various audible sounds according to the detected brain wave spectrum. As will be described later, this circuit 20 is composed of a plurality of ROMs and the like, and emits actual audible sound through an amplifier 26 and a speaker 26. In this example, when β waves are detected, “
It emits the sound of ``the babbling of a stream'' and has the effect of relaxing the mood. Furthermore, when alpha waves are detected, the device is configured to emit a bird's cry depending on the frequency.

For example, in response to α1 waves, it emits a "pigeon" cry, in response to alpha2 waves it makes a "cuckoo" cry, and in response to alpha3 waves it makes a "buppouso" cry.

22 is various indicators c attached to the front puzzle of this embodiment.
Later on, there are 10,000 defeats in detail. In this embodiment, the type of α wave (α1) is used.

It drives and controls lamps that indicate α2, α3), an indicator that indicates the level of the detected magnitude, a warning lamp that lights up when myoelectric noise is detected, and the like.

24 is the data regarding the detected α waves, β waves, and θ waves.
PIB (General Purpose Inter)
This is a data transmission circuit for sending data to a personal computer via the R3-232C interface cable or R3-232C interface cable. What is CBIB?
As is well known, this refers to an IEE-488 bus, but it is also possible to use interface buses using other systems.

FIG. 3 is a detailed enlarged view of the head epidermis electrode 2 shown in FIG. 1. Here, a pair of electroencephalogram sensor electrodes 34A and 34B, 36 an ear clip (indifferent electrode), and 38 a sensor plug are shown.

FIG. 4 shows an example of the front panel configuration of this embodiment.

Here, 40 is a connection terminal into which the sensor plug 38 shown in the third figure is inserted. 42 is a sensor lamp, and this lamp is turned off when lK11 ns elapses with sensor pan V (snow shoveling) 8-Suke-Aoi. Therefore, if this lamp does not go out on the left, it means that the sensor band is not fully attached.

Reference numeral 44 denotes a noise monitor that lights up in red when myoelectric noise is detected, for example when the muscles of the body are tense or when the eyes are moving.

48A, 46'B, 46C are αl wave, α2 wave, respectively.
This lamp lights up when α3 waves are detected. That is, these lamps display alpha waves in three stages, and the lamp 48A lights up in red when brain waves appear strongly around 12 Hz.

Furthermore, when brain waves appear strongly around 10 Hz, the orange lamp 48B lights up. Furthermore, 8) When the brain waves appear strongly around 1z, the green lamp 46
G lights up.

Reference numeral 48 denotes an alpha wave level indicator, which displays the strength of alpha waves by horizontal bright lines. Generally, it is suitable to display the size in about 10 steps.

However, the step program switch 50 is set to rSTEP.
-t=7) for IJ, 10 gV is displayed as the maximum value. Furthermore, when set to ``r5TEP2'', 20'gV is displayed as the maximum value. rSTEP
When set to 3J, 40pLV is displayed as the maximum value.

52 is a mode changeover switch, which is a function key for controlling 0N10FF of a cassette tape recorder connected to the rear panel of this device. This switch is r
MODE IJ, rMODE 2J and rMO[)
Three states can be set: E 3J. These operating modes will be detailed later.

54 is a volume that adjusts the volume of the feedback sound.
Changes the volume of "Kakko" and "Futsubouso".

56 is a phone jack.

58 is a power switch.

FIG. 5 shows an example of the back panel configuration of this embodiment.

Here, 60 is an analog signal output terminal, which sends out an analog signal at a preliminary stage to be introduced into the A/D conversion circuit 10 (see FIG. 2). By connecting an analog recorder or the like to this output terminal, brain waves can be continuously recorded.

62 is a serial signal output terminal for connecting a personal computer and this device.

84A and 84B are power outlets for controlling the cassette tape recorder, into which the power plug of the cassette tape recorder is inserted. Consensus here) 6
4A cuts off the power supply upon detection of the α state. On the other hand, the power source 14B turns on the power of the cassette tape recorder upon detection of the α state. However, rM
When ODE IJ is selected by the switch 52 on the front panel, the outlet 84A is always cut off.
Outlet 64B is in a connected state. In other words, rM
(ODE IJ is selected and the power supply is connected) 8
If a cassette tape recorder is connected to 4B, that tape recorder will always be driven. Details of these controls will be explained later.

66 is a power cord receptacle, and 68 is a fuse box.

FIG. 6 is a timing diagram illustrating the functions of the cassette/tape recorder control outlets 64A and 84B shown in FIG. 5. Outlet 64A (ACOUT
As mentioned above, 1) works so that the power is turned off when the alpha wave state occurs. In addition, outlet fi4B (ACOUT
In 2), the power is turned on when the alpha wave state is reached.

As already mentioned, under the rMODE IJ settings, ACOUT 1 is always kept in the ON state and ACOUT 2 is kept in the OFF (power cutoff) state, regardless of the alpha wave state. Also, rMODE 2J or rMODE
3J, the predetermined voltage level (STEP 1
When , 7.5 gV, 5TEP 2),! = sometimes 15 g V, 5TEP 3 (7) sometimes 30 JL
V) is set as a "threshold", and when an electroencephalogram equal to or higher than this "threshold" is detected, "rAcOUT2" is turned on. However, for rMODE 2J, the minimum duration of the ON state is set to 5 seconds, and for rNODE 3J, the minimum duration of the ON state is set to 20 seconds. FIG. 7 illustrates this state.

The method of using the tape recorder connected to the electrical outlets 64A and 84B shown in FIG. 5 is as follows.

・B) When training to enter the alpha wave state using one cassette tape recorder: ■Insert the power plug of the cassette tape recorder into the outlet [14A rACOUT IJ.

■Set the prescribed music tape or relaxing music tape.

■Mode selector switch 5 on the front panel (see Figure 4')
2 in any position, and press the play button on the cassette tape recorder.

As a result, the relaxing tape will be played until you enter the alpha wave state.

口) When studying using one cassette/tape recorder: ■Insert the cassette/tape recorder's power plug into outlet 84B rAc: OUT 2J.

■Set the tape you want to study.

■Mode selector switch 52 on the front panel (see Figure 4)
in any position, and press the play button on the cassette tape recorder.

This allows the user to listen to the content of the learning tape at the time the user enters the alpha wave state.

c) When studying using two cassette Φ cheap recorders: ■ Connect the cassette e-tape recorder with music tape or relaxing music tape set to the outlet B4A.
Connect to rACOUT IJ.

■Connect the cassette tape recorder with the learning tape set to the outlet 84B rACO'UT 2J.

As a result, relaxing music is played until the alpha wave state is reached, and the learning tape can be listened to at the same time as the alpha wave state is entered.

FIG. 8 is a diagram explaining how to use this embodiment.
-1 is a biofeedback device, and 68-2 is a personal computer. However, when data processing is not performed by the personal computer 69-2, only the biofeedback device 68-1 is operated.

Figure ff59 and Figure 1θ are diagrams showing a group training method using a large number of subjects.

TX shown in FIG. 9 is a transmitter connected to each sensor belt (head skin electrode), and has an isolation circuit built therein. Here, the means for transmitting the electroencephalogram signal can be achieved by a known technique. In combination with a biofeedback device 69-3 having a plurality of receiving devices (not shown), a biofeedback system for group training can be configured.

Next, detailed operations of each component of the embodiment shown in the second figure will be explained.

FIG. 11 shows the isolation circuit 4 shown in the second figure in detail. In this embodiment, isolation from the commercial power source (AClooV) is performed in a double manner.

The first isolation is AClooV to DC5V
This is the isolation performed when dropping the connector J
(See 3). The second isolation is DC/D by a switching regulator, as shown in the lower part of Figure 11.
This is because CC/up is performed and DC12V is obtained.

Furthermore, the electroencephalogram signal is transmitted to the next stage A/D converter 10 via optical devices (photocouplers) PCI and FC2.

In this way, in this embodiment, double isolation from the commercial power source and optical isolation in the signal transmission process are performed to achieve complete isolation.

The head epidermal electrode 2 is connected to the connector J1 shown in the upper left of FIG.
The three signal lines L1 to L3 obtained from the above are connected. Of these, the second signal line L2 is connected to the ear clip 3B (see FIG. 3).

The circuit sandwiched between the connector Jl and the checkpoint CPI constitutes a buffer amplifier circuit, which removes the weak in-phase component of the brain wave signal.

Checkpoint) Parallel T-type filter (R12, R13, R14, CI, 0
2. C3) is inserted to remove signal components of the commercial power frequency of 50 Hz or 80 Hz.

This removes power supply noise superimposed on the signal lines L1 to L3.

The operational amplifier AMPI and its attached elements are 0,5H
It functions as a bypass filter that passes signals above z. On the other hand, the operational amplifier AMP2 and its attached elements are low-pass amplifiers that pass signals below 40Hz.
Acts as a filter.

Operational amplifier AMP3 and its associated elements function as a gain adjuster that adjusts the amplitude of the signal.

The operational amplifiers AMP4, AMP5 and their associated elements function as V-F converters (voltage-to-frequency converters).

On the other hand, the operational amplifiers AMP6 to AMP8 and their attached elements are connected to the commercial power supply frequency component 50)1z or tl
This circuit detects OHz, and detects incomplete attachment of the sensor band (see FIG. 3) according to the output result of the comparator CMP. This lights up the sensor lamp 40 (see FIG. 4) on the front panel.

Figures 12 (A) to (D) and Figures 13 (A) to (D)
2 is a circuit diagram showing details of the electroencephalogram signal processing circuit 16 shown in FIG. 2. FIG. The operation in this figure will be explained in FIGS. 16 onwards, which will be described later.

FIG. 14 is a diagram showing the LSI arrangement of FIGS. 12(A) to (D), and FIG. 15 is a diagram showing the LSI arrangement of FIGS. 13(A) to (D). These figures 14 and 15 are
This figure shows the main LSIs in Figures 2 (A) to (D) and Figures 13 (A) to (D). Illustrated LS
The manufacturer name and model number of I are as shown below.

ICI is PB8284 manufactured by NEC.

[11:2, IC19, IC:3B is Hitachi 74LS
107; 1C3 is PD8088 manufactured by NEC.

IC4, 108, IC9, IC:10. ICII, IC
:35 is 74LS373 manufactured by Hitachi; IC5 and IC25 are PD2784 manufactured by NEC.

IC6, IC? , IC12, IC:13. IC2fi,
IC27 is Toshiba TMM201Ei; [14, ICl3. IC:23. IC: 24 is 1 Hitachi 74LS845; [1B, IC: 17.1029. IC
30 is Hitachi 741.5138°ICl3, IC
37, [39 is made by 0 standing? 4LS139; IC20 is
PD8255° made by NEC [21 is Rn8 made by NEC]
155゜IC:22 is NEC:lI PI)8251゜IC2B
is Oki Electric MSN5204R3; IC31, IC32
is Hitachi 74LS193; IC33, 1C34 is Hitachi 74LS293; IC3B is NEC pLPD8
It is 085A-2.

Here, FIGS. 12(A) to 12(D) show the electroencephalogram component spectrum analysis circuit 12 (see FIG. 2), which is constructed mainly of the IC3 (8088, which is an 18-bit CPU). On the other hand, FIGS. 13(A) to 13(D) show the A/D conversion circuit 1
0 and electroencephalogram component analysis circuit] 4 (see FIG. 2). This electroencephalogram component analysis circuit 14 is mainly composed of a 103B (8085A-2) CPU.

FIG. 16 shows a control procedure for converting an analog electroencephalogram signal into a digital signal. First, step SIO
In step Sll, the presence or absence of an A/D connection error is checked, and if it is determined that there is no error, an A/D conversion operation is started in step Sll.

If it is determined in step S12 that the A/D conversion has been completed, the digital data is
M to prepare for the next spectral analysis procedure.

Note that if an A/DJD connection error is detected in step S19, a flag (not shown) indicating an error state is set and all 128 buffer data including data related to the A/D connection error are cleared. To disable.

FIG. 17 is a flowchart showing the control procedure after the A/D conversion is completed. In the illustrated flowchart, an interrupt is generated by starting a timer and sampling is performed every 15.8 milliseconds. That is, in step 320, data after A/D conversion is taken in, and the data is set in the data memory in chronological order (step 521).
). Such a time-series group of data is the 21st group shown later.
This is done as shown in Figure (A).

As already mentioned, the A/D conversion operation in step S20 is performed by the A/D converter shown in FIGS. 13(A) to 13(D). When data collection for a predetermined number of samples (128 in this example) is completed, (
Step 522), the sample data is transferred to the electroencephalogram component spectrum analysis circuit 12 (see FIG. 2).

FIG. 18 is a flowchart showing the operation procedure of the electroencephalogram component spectrum analysis circuit 12, which is executed by the 8088, which is a 16-bit CPU. First, in step S30, sample data sent from the A/D converter is received, and in the next step S31, relative spectrum values of brain wave components are calculated. In step S32, the relative spectrum value obtained in step S31 is subjected to a predetermined calculation and converted into a voltage value (V).

FIG. 19 is a flowchart showing interrupt processing performed after power spectrum calculation. First, in step S40, levels are stored for each frequency. In other words, a frequency series level data group is formed as shown in FIG. 21 (8) shown later.

In step S41, the one with the maximum level is selected from each brain wave component, and a stack is constructed as shown in FIG. 21(C). In other words, α1 waves.

The highest level (pV) and its frequency (Hz) for spectral components belonging to α2 wave, α3 wave, β wave, and θ wave
remember.

In step S42, power saving noise caused by opening and closing of the eyes, etc. is detected, and the noise monitor lamp 44 (
(See Figure 4).

In step S43, based on the detection result in step S41 (see FIG. 21(C)), any one of the α-wave display lamps 48A, 48B, and 4BC on the front panel and the level indicator 48 (see FIG. reference). This step S43 is executed by the operation display circuit 22 shown in the second figure.

In step S44, the synthesized sound generation circuit 20 shown in the second diagram is driven to generate a feedback sound.

As mentioned above, this feedback sound is a "stream babbling" sound when β waves are detected, and when α waves are detected, depending on the step program switch 50 (see FIG. 4). Generates the sounds of ``Dove,''``Katsuko,'' and ``Buzz.'' Note that speech synthesis will be detailed later.

In step S45, the power outlet on the back panel) f
iaA and E14B (see FIG. 5) are controlled as shown in FIG. The details are as already described with respect to FIGS. 6 and 7.

Step 34B is required if the biofeedback device according to this embodiment is connected to a personal computer via an R5-232G interface or the like. This step is executed by the data transmission circuit 24 shown in the second figure.

FIG. 20 summarizes the above explanation focusing on the flow of data. That is, this figure is a summary flowchart of FIGS. 18-18.

Steps S50 and S51 represent a data sampling process. That is, by starting the timer, an interrupt is generated every 15.8 milliseconds, and the time series data shown in FIG. 21(A) is obtained.

Steps S52 to S54 represent a spectrum analysis process. Here, in step S53, frequency series data is obtained as shown in FIG. 21(B). Further, in step S54, data shown in FIG. 21(C) is obtained.

Steps S55 to S5B show the display/output process. Since each of these steps is clear from what has already been described in detail, the explanation will be omitted.

Note that if a level of a predetermined value (for example, 100 pLV) or more is detected over the entire frequency band of α waves to α3 waves, β waves, and θ waves, it is regarded as noise. This predetermined value is secured as a table in the ROM. However, the configuration should be such that it can be easily changed.

FIGS. 21(A) to 21(E) illustrate formats of various data used in this embodiment.

(A) to (C) are as already described.

(D) is from the A/D converter lO to the spectrum analysis circuit 1.
The format of the data sent to 2 is shown below. In this example, 8 bits are used as the instant flag, and ±5 vp-p is set from 0 to 2.
It is divided into 55 levels. Also, (E) shows the format of data sent from the spectrum analysis circuit 12 (8088) to the main micro-processor (ie, 8085A-2). The illustrated FCF indicates a Fourier transform control flag.

This flag FCF is used by two processors (8085A-
This is an area that can be referenced by both processors in order to exchange data between them.

FIG. 21(F) shows the general layout of the memory used in this embodiment.

Next, the function of the flag FCF mentioned above and the data interface between processors will be explained.

■When flag FCF is 0, processor 8085A-
2 (see 103B shown in Figure 15) side saves data.
/ When the flag FCF becomes 80H,
Processor 8088 (see IC3 shown in Figure 14)
The side becomes ready to receive data.

■Therefore, while the flag is 80H, the processor 8085A
-2 side does not enter new data.

(2) When the processor 8088 side takes in the data and the FFT operation is completed, the flag FGF is changed to FF)I.

■The state of flag FGF on the processor 8085A-2 side is F.
The FH is confirmed and data processing (processing to obtain the data shown in FIG. 21(C)) is performed.

(2) After that, the flag FCF is reset to 0 again.

FIG. 22 is a flowchart illustrating the spectrum analysis procedure already described from another perspective. That is, this figure is a flowchart showing a fast Fourier transform processing program using 8088. Moreover, FIG. 23 is a schematic layout diagram of a memory used in spectrum analysis.

The contents of each control step shown in FIG. 22 are as follows.

Step S60: The sampling data is transferred to the work area while being multiplied by a window function.

Step S61: Perform an operation to reverse the bit order and rearrange the data.

Step SB2: Perform fast Fourier transform using 80BB.

Step S63: 1. Based on the data of each complex number. <Calculate the worth vector.

Step S64: Transfer the obtained power spectrum to the output data area.

In this way, the program shown in FIG. 22 performs fast Fourier transform on periodic data with 128 sample points,
This is what determines the power spectrum.

The frequency of the spectrum seen in this example is extremely low. Therefore, the number of sample points was 128 data (2
data obtained per second), the frequency resolution is 9.
5Hz, and the Nyquist frequency is 32Hz. and,
In order to accurately distinguish α, β, and θ waves included in brain waves,
The sample data is multiplied by a /\mining window function as a window function. In addition, in order to shorten the calculation time, 46 l\ming functions are prepared in advance as a data table.

In addition, the fast Fourier transform algorithm uses the Thump-Tukey frequency thinning algorithm, and the SI used for the butterfly operation, which is the basic operation, is used.
The values of N and Cps are set in advance as a data table.

In this way, the 18-bit microprocessor can reduce calculation time.

FIG. 24 is a block diagram showing in detail the synthesized sound generation circuit 20 shown in FIG. 2. The synthesized sound generation circuit 20 includes an address input section 70. A pair of address decoders 72A and 72B, N ROMs each capable of storing two seconds of message information? 4-1~74-N',
It includes an integrated circuit for speech synthesis 76 and a ROM address generator 78. The input side of this synthetic sound generation circuit 20 is connected to the controller 18B, and the output side thereof is connected to a speaker 28 via an amplifier 28.

Controller (CPU) to select desired audio
18A inputs the corresponding address into the voice address input section. This address is structured into 8 bits, with the lower 4 bits representing the first note and the upper 4 bits representing the second note.
Represents the address of a sound (the first and second sounds are emitted in succession). For example, a first ROM may be selected to generate a predetermined sound for two seconds, followed by a second ROM selected to generate a separate sound for two seconds. Also, for the first and second notes, the same ROM
It is also possible to select. In this example, “
In addition to the sound of ``the babbling of a brook'', the sounds of ``dovetooth'', ``cuckoo'', and ``buzzing'' are recorded in ROM74-1 to 74.
-4, and the controller 18B is configured to continuously address the same ROM as needed (ie, as long as a certain brain wave continues to be detected).

The address input to the address input section 70 is an address.
It is decoded by decoders 72A and 72B, and the ROM? 4-
Any one of ROMs 1 to 74-N is selected.

Then, the start signal from the controller 18A is sent to the ROM.
When supplied to address generator 78, the selected ROM
The contents (audio data) are read out sequentially from . The voice synthesis integrated circuit 7B synthesizes an actual audible sound signal based on the input voice data. In this way, the speaker 28 emits a sound such as "the babbling of a stream".

FIG. 25 is a circuit diagram showing the block diagram shown in FIG. 24 in more detail. The boat PA of the illustrated input connector J101 has a terminal θ as shown in FIG. 26(A).
-3 is supplied with the address of the first tone, and terminals 4-7 are supplied with the address of the second tone. Further, signals shown in FIGS. 26(B) and 26(C) are supplied to the boats PB and PC as control signals. Signals supplied to these boats PA-PC are issued from an interface IC 81'55 (not shown).

In FIG. 25, eight inverters connected to the input connector JIOI correspond to the address input section 70 shown in FIG. 24. Further, the integrated circuit 2C shown in FIG. 25 corresponds to the decoders 72A and 72B shown in FIG.
Is the ROM-AG shown in Figure 5 the ROM shown in Figure 24? 4-1
~74-N, the integrated circuits 3B and 4B shown in FIG. 25 correspond to the ROM address generator 7 shown in FIG. 24, and the integrated circuits ICU and IC shown in FIG. 25 correspond to the integrated circuit for voice synthesis shown in FIG. 7B, and the operational amplifiers IB and IA shown in FIG. 25 correspond to the amplifier 28 shown in FIG.

The manufacturer name and model number of the integrated circuit shown in FIG. 25 are as follows.

IA, 3A, 4A are Toshiba 40θ90BP, 2A is Toshiba 4011UBP, 2B is Toshiba 4013BP, 20, 30 are Toshiba 45158P, 3B, 4B are Toshiba 40248P, ICD is Hitachi LS241, IC is Oki Electric MSN5205R9 , 1B is Hitachi part 171102, IA is Toshiba TA7313AP, 10-5F is Toshiba 27B4EPROM (X 15)
, 2EF, 2FG, 4EF, 4G) I is Toshiba 4081
30BP, 20E, 2G■, 40E, 4FG are manufactured by Toshiba 4
011UBP.

FIG. 27 shows details 1' of the operation display circuit 22 shown in FIG.
f a M-14-, 1 + IVI l= a
Good Todoroki DI-) 1 nm/7'+ 1-fn(
It is a diode array equipped with a light emitting diode), and corresponds to the brain wave level indicator 48 (see FIG. 4) on the front panel. Also, Di, D2. D3 are LEDs corresponding to the α-wave display lamps 48A, 48B, and 48G on the front panel, respectively. Similarly, D4 is an LED corresponding to the noise monitor 44 on the front panel, and D5 is an LED corresponding to the sensor lamp 42 on the front panel.

The operational specifications of this embodiment described above are summarized as follows.

(Margins below) In addition, in the two examples, brain waves were used as one of the biological information, but it goes without saying that other information based on changes in biological phenomena may also be used.

[Effects] As explained below, according to the present invention, feedback sounds related to biological information can be synthesized by hardware, which improves reliability compared to the use of tape recorders, etc., and also reduces the size of the device. Biofeedback devices can be obtained.

[Brief explanation of the drawing]

FIG. 1 is a diagram showing an electroencephalogram analysis characteristic curve of a biofeedback device according to an embodiment of the present invention, FIG. 2 is a schematic block diagram showing the overall configuration of a biofeedback device to which the present invention is applied, and FIG. Figure 4 is a detailed enlarged view of the head epidermal electrode shown in Figure 1, Figure 4 is a diagram showing the front panel of this embodiment, Figures 6 and 7 are the cassette/tape recorder control connector shown in Figure ) Figure 8 is a timing diagram explaining the functions of B4A and 64B, Figure 8 is a diagram explaining how to use this embodiment, Figures 9 and 10 are diagrams showing the image of group training by a large number of subjects, 11 is a detailed circuit diagram of the isolation circuit 4 shown in FIG. 2;
4 and 15 are detailed circuit diagrams of the electroencephalogram signal processing circuit 16 shown in FIG. F) is a diagram showing various data (7) 7 formats and memory layout used in this example, Figure 22 is a flowchart showing a fast Fourier transform processing program, and Figure 23 is a memo 11 used in spectrum analysis.
Figure 24 is a block diagram showing the synthesized sound generation circuit shown in Figure 2 in detail, Figure 25 is a circuit diagram showing the block diagram shown in Figure 24 in more detail, Figure 28 Figures (A) to (C) are diagrams explaining signals to be supplied to the input/output ports shown in Figure 25, and Figure 27 is a detailed circuit diagram of the operation display circuit 22 shown in Figure 2. 2... Head epidermal electrode, 4... Isolation circuit, 6... Very low frequency amplifier 8... Signal conditioner, 10... A/[1 conversion circuit. 12... Brain wave component spectrum analysis circuit, 14... Brain wave component analysis circuit, 16... Brain wave signal processing circuit, 18A, 18B... Controller, 20... Synthetic sound generation circuit, 22... Operation Display circuit, 24... Data transmission circuit, 26... Amplifier, 28... Speaker, 30... AC/DC converter, 34A, 34B... Brain wave sensor electrode, 36... Ear clip, 38...Sensor plug, 40...Sensor plug connection terminal, 42...Sensor lamp, 44...Noise monitor, 46A, 46B, 46C...α wave display lamp, 48...
...Level indicator, 50...Step program switch, 52...
・Mode changeover switch, 54...Polyum for volume adjustment, 56...Heradphone jack 1 58...Power switch, 60...Analog signal output terminal, 62...Serial signal output terminal, 64A, 64B・... Power outlet, 66... Power cord holder, 68... Fuse box, 69-1... Biofeedback device, 69-2.
...Personal computer, 69-3...Biofeedback device for multiple inputs, 70...Address input unit, 72A, 72B...Address decoder, 74-1~
74-N... ROM, ) 76... Integrated circuit for speech synthesis, Agent Yoshi Tani, patent attorney - Engraving of drawings (no changes to the contents) ゛ Fig. 1 West East Moxibustion Seven EEG Horimaki (Hz) Fig. 16 Fig. 18 (C) 3.5Hz (D) Fig. 21 old) Tekei Kankan 1 official text (method: July 26, 1981 Manabu Shiga, Commissioner of the Patent Office, 1.71 yen) Indication Patent Application No. 59-55385 2, Name of the invention Biofeedback device 3, Relationship with the amended case Patent applicant Management Work 4, Agent address 6-9 Akasaka, Minato-ku, Tokyo 107 Japan No. 5 Ice Phase Annex No. 2 Building No. 405 (shipment date June 26, 1980) 6. Subject to correction

Claims (1)

[Claims] 1) A biofeed bank device configured to emit an audible sound according to detected biological information, comprising: a selection means for specifying an audible sound according to the content of the biological information; A biofeed puncture device comprising: storage means for storing basic information; and synthesis means for synthesizing an audible sound signal based on the data read from the recording means. , 2) The biofeedback apparatus according to claim 1, wherein address information of the storage means is sent from the selection means. 3) The biofeedback according to claim 2, wherein address information for sequentially switching the designated portion of the storage means is sent from the selection means, and an audible sound is emitted within a predetermined time. Device. (Margin below)