JPS62148644A - Apparatus for processing route-organ functional information - 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 of the Invention] The present invention relates to a meridian-organ function information processing device, and particularly to a meridian-organ function information processing device for diagnosing the functional status of meridians-organs and the balance state of autonomic nerves in a living body. It relates to a processing device.

[Prior art and its problems] In Oriental Japanese studies, especially in acupuncture and moxibustion, we have learned through clinical experience that there is a system called ``meridians'' throughout the body (which can be recognized as a stimulus-sensing system or a reaction system), and we have learned from clinical experience that there is a system called ``meridians'' (which can be recognized as a stimulus-sensing system or a reaction system) throughout the body. It is confirmed that there is a close relationship with the autonomic nervous system that controls it.
By identifying abnormal conditions at reaction points (acupuncture points, commonly called acupuncture points) in this meridian, it is possible to diagnose the presence or absence of disease in each organ tissue associated with the reaction point, or to treat this abnormal condition. Treatment is performed to correct abnormal conditions by applying physical stimulation using needles, heat, electricity, etc. to a certain reaction point.

Identifying a reaction point in an abnormal state from among a large number of reaction points is determined by the sense of the examiner's fingertips and the test subject's knowledge, but this depends on the examiner's many years of experience and skill. and requires. Therefore, a machine has been created that uses the fact that electrical resistance abnormalities are noticeable in the skin at reaction points (acupoints) to electrically detect acupuncture points and diagnose them without requiring experience or skill. . Conventionally, such a device was manufactured by Japanese Patent Publication No. 52-4
There is an internal organ-autonomic nerve function diagnostic device No. 878. However, since the functional parameters of the living body detected by this device are only static impedance in response to electrical signals applied through the valve holes of the living body, sufficient biological information cannot necessarily be obtained from the functional parameters. In addition, diagnostic parameters obtained by calculating and analyzing functional parameters do not have sufficient meaning, so it is difficult to use them even if you try to make a diagnosis based on some conditions, and it is still difficult to use them to make an accurate diagnosis. It required experience and skill.

Furthermore, it was not possible to obtain information on what kind of treatment should be performed.

[Object of the Invention] The present invention has been made in view of the above-mentioned shortcomings of the prior art, and its purpose is to improve the individuality of the subject so that the relative relationship between intrapersonal meridians and organ functions can be easily read. It is an object of the present invention to provide an inexpensive meridian-organ function information processing device that can provide internal diagnostic parameters. It is also preferable to provide a valuable meridian/organ function information processing device that can provide meridian/organ function diagnostic information such as falsehoods, demonstrations, and reversals used in traditional oriental medicine.

Another object of the present invention is to provide a meridian-organ function information processing device that can provide easy-to-understand stimulation treatment point information as a result of diagnosis based on the relative relationship between at least individual meridians and organ functions.

[Summary of the Invention] In order to achieve the above object, the meridian-organ function information processing device of the present invention includes a data input means for inputting dynamic functional information related to the meridian-organ function, and a function information input by the data input means. a parameter calculation/analysis means for calculating and analyzing the parameters to form predetermined intra-individual diagnostic parameters; and a data editing/outputting means for editing and outputting the intra-individual diagnostic parameters formed by the parameter calculation/analysis means into a predetermined format. The outline is to prepare.

Preferably, one aspect of the functional information is signal information related to a dynamic change in biological impedance in response to an electrical signal applied through an acupuncture point such as a well in the biological body.

Preferably, the functional information is information on functional parameters related to dynamic changes in biological impedance in response to electrical signals applied through acupuncture points such as wells in the living body, and includes polarized charge current BP and total polarized charge. One aspect thereof is that any one or more of IQ, post-polarization current AP, polarization speed TC, and five polarization angles θ are the same.

Preferably, the intra-individual diagnostic parameter is an average value of functional parameters of a plurality of acupuncture points and a normalized standard Q'i Wu
Any one or two of the difference, the ratio of limbs, and the ratio of left and right sides.
One aspect of this is that there are more than one.

Preferably, the intra-individual diagnostic parameter is an intra-individual diagnostic parameter obtained for at least the pre-polarization second current BP value of a plurality of acupuncture points, and the pre-polarization current BP value is the largest one and the second current BP value is the pre-polarization current BP value. Front current BP
The L-th values from the smallest value, the M-th average values of the pre-polarization current BP values obtained for the corresponding left and right meridians, and the polarization obtained for the corresponding left and right meridians. For the average value of the pre-polarization BP value from the smallest to the Nth one, and the pre-polarization current BP value of the meridian in each yin-yang relationship (pre-polarization current BP value of the yin meridian) <(pre-polarization of the yin meridian) Among those satisfying the relationship (current BP value), the Pth one from the one with the largest difference in the BP value, and the Qth one from the one with the largest difference in the pre-polarization current BP value between the corresponding left and right meridians. One aspect thereof is any one or two or more of the above.

In addition, in order to achieve the above object, the meridian-organ function information processing device of the present invention includes a data input means for inputting dynamic functions and information related to meridian-organ functions, and a meridian-organ function information processing device that includes a data input means for inputting dynamic functions and information related to meridian-organ functions, treatment point information storage means for storing stimulation treatment point information indicating whether stimulation treatment should be performed; and parameter calculation/analysis for calculating and analyzing the functional information input by the data input means to form predetermined intra-individual diagnostic parameters. means, a treatment point determining means for accessing the treatment point information record jQ means and reading out corresponding stimulation treatment point information based on the intra-individual diagnostic parameters formed by the parameter calculation/analysis means, and at least the treatment point determining means. The outline of the present invention is to include a data editing/outputting means for editing and outputting stimulation treatment point information read out in a predetermined format into a predetermined format.

[First Embodiment] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram of a meridian-organ function information processing device according to a first embodiment. In the figure, reference numeral 1 captures the dynamic changes in the current sequentially passed through the living body through 28 wells of both hands and feet of the subject, and from the measured values predetermined meridian-organ function parameters BP and AP.

2 is a meridian-organ function parameter measuring device (hereinafter referred to as the measuring device) that calculates and outputs TClIQ, θ (hereinafter referred to as functional parameters); 3 is an external storage device (cassette device, 5 discs, etc.) for the purpose of auxiliary notes 1, 9, and 4 is an information processing device 2.
5 is a data output device (printer, CRT display device, LED matrix, audio output device, etc.) that outputs data FD in an editing format regarding the various diagnostic parameters and treatment point information of the subject calculated and determined in 5. This keyboard is used to instruct the system to proceed with the test subject's diagnosis process and to input various parameters necessary for diagnosis (measurement date and time, test subject's name, gender, age, medical history, current symptoms, etc.).

Furthermore, although not shown, the information processing device 2 described above actually has the following functions:
For example, a ROM or RAM containing various diagnostic processing programs of the embodiment as shown in FIGS. Peripheral IO for outputting various processing data between storage RAM and external connection devices
It includes a central processing unit ('cpu) housed on the same board as the circuits, etc., and the blocks of the clear report processing device 2 are implemented by executing the various processing programs mentioned above. The functional blocks of the CPU are shown.

To briefly explain these functional blocks, 6 is the functional parameter BI'-IQ input from the measuring device 1;
Furthermore, if necessary, it is a buffer means for temporarily storing θ, and the function parameter BP- stored in the buffer means 6 is
Although IQ and the like are usually processed immediately, they can also be saved in the external storage device 3 via the line 101 for the purpose of batch processing multiple people later. 7 calculates and analyzes the functional parameters BP to IQ, etc. read from the buffer means 6 to obtain parameters useful for diagnosis (systemic diagnostic parameters AD, intrapersonal diagnostic parameters AD, etc.);
8 is a parameter analysis/diagnosis means for outputting these and performing predetermined diagnostic processing based on the determined systemic diagnostic parameters AD, intra-individual diagnostic parameters AD, etc.; Standard value notation means 50 means tQ is written in a table of common standard values NS prepared in advance for comparison, and 9 indicates a systemic diagnosis at a location accessed based on the comparison result with the common standard values NS. Information DJ
The diagnostic dictionary t0 means, 10, which stores the function parameter BP, determines an appropriate treatment point for the subject based on the intra-individual diagnostic parameter AD' obtained by calculating and analyzing the functional parameter BP, and outputs the treatment point. Determining means 11 indicates the original hole, recruitment hole,
The treatment point dictionary storage means 12 stores the appropriate stimulation treatment point information TJ such as a hole, etc.; 12 indicates the subject's whole body 1 cooling parameter AD, the individual diagnostic parameter D', the whole body diagnosis information DJ, and appropriateness; This is a data editing means that edits stimulation treatment point information TJ and the like into a predetermined format and outputs them to the data output device 4 or external storage device 3.

FIG. 2 is a diagram illustrating one usage mode of the measuring device 1.

When measuring functional parameters such as BP to IQ, first attach two (-) side electrodes to both wrists, then attach 28 multi-point (+) side electrodes to the 28 holes at the ends of both hands and toes. be installed on each. Figure 3(a).

For reference, 14 holes at the tips of the fingers and toes are shown in (b). Including the left and right sides, there are a total of 28 wells. (
The reason for attaching the -) side electrodes to both wrists is to balance the electrical resistance path of the living body from each (+) side electrode to the (-) side electrode, thereby eliminating measurement errors based on the position of the electrodes. It is.

After installing the electrodes in this way, each (
A positive pulse voltage (3 V) is sequentially applied to the (+) side electrode in an electronic scanning manner, and dynamic changes in the current flowing through each valve hole in the living body are measured.

FIGS. 4(a) and 4(b) are diagrams for explaining the principles of measurement and calculation of functional parameters BP to IQ, etc. At time t, as shown in FIG. 4(a). When a DC voltage of 3V is applied locally to the skin, the defense and homeostatic functions of the living body work to cancel out the electrical stimulation, so that the voltage reaches time t as shown in FIG. 4(b). After an instantaneous current flows, 200μSeC
There is a phenomenon in which the value settles down to a constant value before and after. In this embodiment, this rising current value is defined as polarizable current BP (bef
The current that shows a constant value after polarization is called the after-polarization current AI' (after polarization).
polarization), and the shaded area is the total polarization charge IQ (integrated charge).
The speed of polarization is called polarization rate TC (Lime constant), and the angle between the current axis and line T in the figure is called polarization angle θ.
It is called. These functional parameters [lP to IQ, etc. have the following qualities.

FDP (Polarized Charge Current) J 70% flows through the dermis and is determined by the specific resistance of living skin tissues including the epidermis and dermis. This is a parameter that indicates the functional status of meridians. In summer, there is a lot of water in the body and the BP value is high; in winter, there is little water and the BP value is low. Healthy people with a good flow of body fluids have a high BP value, while elderly, seriously ill, and frail people have a poor flow of body fluids and have a low Bl' value.

flQ (polarization charge @)” Indicates the total amount of charge moved due to polarization. It is thought to indicate the homeostatic function of the body (metabolism, biological defense function). IQ values are known to be extremely low in terminally ill cancer patients and those nearing death, and are observed to be higher than normal in cases of inflammation.

ImAP (post-polarization current) j mainly flows through the epidermis. Even after the polarization ends, the ion permeability of the barrier film is still high, so ions are formed by flowing freely. The AP value corresponds to the skin resistance level measured as a neural response (GSR), and is considered to reflect autonomic nervous function. A high AP value indicates a sympathetic nervous function excitation type, and a low AP value indicates a parasympathetic nervous function excitation type.

f’tc (polarization rate) J Represents the speed of polarization.

“θ (polarization angle) J The speed of polarization is expressed in degrees.

In FIG. 4(a), the measuring device 1 captures the dynamically changing current with the current detecting means A, and uses the detected current value at a predetermined sampling period (for example, 1μ5ec).
A/D conversion is performed. Therefore, this A/D converted series of current values ID includes dynamic functional information related to meridian-organ functions. The measuring device 1 further calculates the above five functional parameters based on this current value ID. The polarization charge current BP is at time t0 or time t. This is the peak value of the current in the vicinity. Furthermore, time t. The term "near" means that, for example, the first two data points are prone to mechanical errors, so they are excluded, and the next three data points are calculated theoretically. Therefore, in the embodiment, for example, the time of three data points is t. '. The post-polarization current AP shows a constant value after polarization, but is, for example, an average value. The polarization charge fiIQ is at time t. Or time t. The post-polarization current AI is calculated from the current value of each data point starting from ' and until the current waveform becomes stable (around 200, usec).
It is obtained by time-integrating the value obtained by subtracting the value of ', and corresponds to, for example, the area indicated by diagonal lines in FIG. 4(b). Time t. Nearby data contributes significantly to the integral, so it may not be possible to ignore it uniformly. Therefore, the operator should judge
Either one can be selected. The polarization rate TC is the time until reaching AP, and is the time t until the first data TD where the data TD becomes the same value a predetermined number of times. Or time t. ′
It is the time since. Or, if you want to find it simply, time t. The time t up to the point where the tangent of the current waveform at 'T) intersects the time axis. Or time t. ’ is the time since. This can be selected for the same reason as above. The polarization angle θ is the angle between the current axis and the tangent line T in the figure.

In this way, the numerical data sent from the measurement device 1 to the information processing device 2 includes the pre-polarization current value BP, the polarization return current value AP, and the polarization speed TC measured and calculated at the tip of the limb 28.
There are four functional parameters of one polarization charge total IQ, or five functional parameters including polarization angle θ.

Line 100 in FIG. 1 indicates a data connection line between measuring device 1 and information processing device 2. Line 100 in FIG. Various methods are possible for this data connection method.

For example, when the measurement device 1 and the information processing device 2 are directly connected and used, a simple direct connection interface is used. For example, by directly connecting a small measuring section 1' having a single-point electrode to an information processing section 2' configured on one chip,
It is possible to configure a portable device that can be operated by the subject himself, like a general blood pressure monitor. Furthermore, when connecting multiple measurement devices 1 and information processing devices 2 online, for example, GP
- IB (IEEE-488) interface or R5232C interface.

In this way, the functional parameters [IP to IQ, etc.] of multiple subjects sent from a remote location are collected online, and the diagnosis results can be returned immediately after being diagnosed in real time.
It is also possible to temporarily store the data in the external storage device 3 and perform batch processing later. Furthermore, the line 100 may be a simple wireless communication system used in hospitals.

Further, although the processing program of this embodiment is stored in the ROM, the present invention is not limited to this. The processing program PD and necessary dictionary information may be loaded via line 102 from an external storage device.

...Calculation of systemic diagnostic parameters...FIG. 5 is a flowchart showing the calculation and analysis process of the subject's systemic diagnostic parameters AD. In order to diagnose a subject's systemic function, it is effective to compare it with reference values determined for a large number of healthy people. However, since the measurement data such as the functional parameter BP-IQ is 4×28 in size, it is not possible to make an effective comparison as it is. Therefore, first, a systemic diagnostic parameter AD useful for comparison is determined. These are each average value (AVE) of functional parameters such as BP-IQ, each normalized standard deviation (SD), each limb ratio (F/T), and each left and right ratio (L/R). ), the normalized functional parameters L% and R% of each left and right meridian, and the normalized value D% of each left-right difference.

In FIG. 5, the parameter analysis/diagnosis means 7 calculates each average value BPA"IOA of the functional parameters BP-IQ, etc. of the 28 meridians in step S51, for example, BPA=1/28
Obtain the XΣth deBPI and store the result in the output area.

In step S52, each normalized standard deviation BPs
o~IQgo, for example, [1['so= 1/BPA・128×Σl=l B
PI BPA )2 and store the result in the output area.

In step S53, in the same way, the ratio BP of each limb, T to I
QFT, for example, [IPrT=hand average value BPAF/foot average value BPAT
and store the result in the output area. Here, the average value BPAF of the hand is the parameter mouth 1 of the 14 meridians of the left and right hands.
) 1, BPAF=1/14XΣ18′ BP,
It is determined by The same applies to the foot average value []FAT.

In step S54, each left and right ratio BPLll is similarly set.
~IQLR is determined by, for example, 8PLTl=left average value BPAL/right average value BAR, and the result is stored in the output area. Here, the left average value BPAL is the parameter P1 of the 14 meridians of the left limbs.
From, BP AL = 1/14 xΣl =”B
It is determined by PI. The same applies to the right average value BPAR.

In step S55, the measured functional parameters BP~I
For Q, etc., normalized functional parameters L% and R% of each left and right meridian are calculated. Now.

If and R are the left and right measured values, respectively, from parameter analysis, etc., then the left normalized value L% is obtained as L%"Ll/XLR. The right normalized value R% is calculated as R%=R1/X
It is determined by L*. Here, XLR is the average value of the left and right sums, XLR=1/28X Σ+='f (L+ +
R+).

In step S56, the normalized L% and R% of the functional parameters BP to IQ, etc. are numbered in descending order of numerical value and stored in the output area of the determined L% and R%.

In step S57, the normalized value D% of the difference between the left and right sides is calculated as D%-1 L+R+1/DA. Here, DA is the average value of the left-right difference, and DA=1/l<
It is determined by xΣ=IL+R11. It should be noted that numerical values obtained in the middle of the above-mentioned arithmetic processing, such as the left-right difference Dm=1L, R+1, etc., are stored in a predetermined area for use in later diagnostic processing.

...Diagnosis of systemic function...Next, the parameter analysis/diagnosis means 7 compares the systemic diagnostic parameter AVE-D% obtained above with a common standard value NS (normal 5 standard) prepared in advance. , to diagnose the subject's systemic function. For this purpose, the reference value table storage means 8 stores a large number (N
A common reference value NS created based on four functional parameters BP to IQ etc. measured on healthy people of ) is stored for each month. Since functional parameters have seasonal variations, we decided to store them for each month. Subject's systemic diagnostic parameters A
The relationship between D and its common reference value NS is as follows.

``Average value AVE (average) Each average value BPA of J mouth P ~ IQ etc. Regarding NIQA, BPA is a parameter that mainly determines the meridian function of the entire organism and the normality/abnormality of qi energy, and APA is the parameter that determines the normality/abnormality of autonomic nervous function. IOA, a parameter for determining abnormality, is a parameter for determining normality/abnormality of the homeostasis function, metabolism, and defense function against exterior (bacteria, viruses, etc.) of the living body.The common reference value NS is determined as follows. It will be done.

■BP for each month of one year for N healthy subjects.
~The average value of IQ, etc. BPA - IQA, for example, BPA = 1
/N XΣ, Ba OP.

Find it with Here, ap is the average value of BP of 24 (or 28) meridians for one person.

■Next, the average deviation [IP
D ~ IQo, for example BP, = 1/N XΣJ Tsume I BPJ BPA
Find it with l.

(2) Next, the value obtained by subtracting the average deviation BPDf from the obtained average value BPA is set as the lower limit of the normal range NS, and the value obtained by adding the average deviation BP to the average value BPA is set as the upper limit of the normal range NS.

Therefore, the range NS between the upper and lower limits is a normal range with a certain spread, and the average value DI'A (average value of 28 meridians) obtained by measuring one subject later is Bl
'A<NS abnormal range and normal joint circumference included in NS,
It is evaluated in three classes: BPA>NS abnormality range.

r Normalized standard deviation SD (Standard Devi
ation) 1. It is a parameter that measures the degree of stability, deflection, excitement, and relaxation of meridian function, homeostatic function, and autonomic nervous function throughout the whole body. The common reference value NS is determined in the same way as above.

Ratio of one limb F/T (Fingers/Toes) J
It is a parameter that measures the balance/imbalance in the upper and lower body, such as meridian function, homeostatic function, and autonomic nervous function.

``Left/Right Ratio L/R (Left/Right) This is a parameter that measures the balance/imbalance between the left and right sides of the J meridian function, homeostatic function (metabolic function), and autonomic nervous function.

“Normalized functional parameters L% and R%j In particular, L% and R% of the functional parameters BP have a deep correlation with the meridian function,
It is useful for discovering abnormal meridians. It is also extremely important as an intra-individual diagnostic parameter, which will be described later.

``Normalized value of left-right difference D%j This is a parameter that measures the left-right balance/imbalance of each meridian.

FIG. 6 is a flowchart showing a process for diagnosing systemic functions. The parameter analysis/diagnosis means 7 performs step S61.
In this step, the whole body diagnostic parameter ΔVE-L/R is compared in magnitude with each common standard NS read from the standard value table storage means 8. In step S62, it is determined whether the comparison result is within the normal range. When the systemic diagnostic parameters 8 VE to L/R are within the range of the corresponding common reference value NS, it is within the normal range, and steps S63 and S64
Skip processing. If it is not within the range of the common reference value NS, the process proceeds to step S63, and the common reference value NS used for the comparison is associated with information (symbol) representing a magnitude relationship and a symbol representing an abnormality. Systemic diagnostic parameters are stored in the output area of 80. In step S64, the type of systemic diagnostic parameter AVE-L
The diagnostic dictionary storage means 9 is referred to in accordance with the information representing /R and its magnitude relationship, and appropriate diagnostic information DJ is read out and stored in a predetermined output category. In step S65,
The normalized parameters L%, R%, and D% of each functional parameter are compared in size with the respective common standards NS read from the standard value table storage means 8. In step S66, it is determined whether the comparison result is within the normal range. If the normalization parameter is within the range of the corresponding common reference value NS, it is within the normal range, and the process of step S67 is skipped. If it is not within the range of the common reference value NS, the process advances to step S67, and the common reference value NS used for the comparison is associated with information (symbol) representing a magnitude relationship and a symbol representing an abnormality. Store in the normalization parameter output area. In step 368, the data editing means 12 stores the measured data such as the functional parameters BP-IQ, the determined systemic diagnostic parameters 8VE~L/R and the normalized parameters L%~D%, and the information DJ of the diagnostic results.
etc. are made into a table and output to the data output device M4.

FIG. 11 shows an example of an output list of systemic diagnostic parameters. In the average value AVE, AP is indicated by the common base <((symbol: greater than the value NS)) and the common reference value NS. Therefore, it is immediately clear whether there is an abnormal trend in the functional parameters compared to healthy others. Also, L % and R% are normalized and shown, so it is easy to compare the relative relationships for each meridian.

That is, the closer these values are to 1.0, the closer they are to the average value.

Furthermore, since L% and R% are assigned rank numbers in descending order of value, it is possible to easily grasp phenomena such as falsity, actuality, and reversal due to intra-individual diagnostic parameters, which will be described later.

Note that the process in step S64 is not necessarily necessary. This is because a specialist can make a sufficient diagnosis and determine treatment points simply by using the list data shown in FIG. However, if the subject manages his or her own health, step S84
processing provides useful and easy-to-understand diagnostic information.

Examples of diagnostic information DJ output in various cases are shown below. The message from the diagnostic information DJ is Step S
In step 62, the system-wide diagnostic parameters determined to be abnormal are output to a predetermined diagnosis 1['A together with the type AV-D%, etc.

"Average value AVE J BP> NS: Advanced meridian function BP <NS/Decreased meridian function AP> NS: Sympathetic nerve dominant correction <NS: Parasympathetic nerve dominant IQ> NS: Acute stage of illness/chronic disease/allergy integrated IQ < NS 2Decrease in metabolism and biological defense function BP/I
Both Q > NS: Acute stage of illness Both P and IQ < NS: Is the whole body in a state of weakness? Normalized standard deviation 5DJ AP, BP, IQ>NS: Advanced AP of each function, [
lP, IQ<NS: Relaxed limb ratio F/T of each function
JAP> NS: Current mood is high, anger, hot flashes, and autonomic nervous symptoms appear.

AP< NS: Current Qi is falling BP> NS: Physically, there is a lot of Qi energy in the upper body. Submissive, hasty.

BP<NS: Physically, there is a lot of Qi energy in the lower body. Depressive tendencies.

Both AP-BP and IQ <NS: Depressed mood, decrease in vital energy? Left and right ratio L/It J AP=Current left and right difference P: Left and right difference AP-BP-IQ as a constitutional tendency <NS: Functional decline on the left side of the body・
Calculation of intra-individual diagnostic parameters... FIG. 7 is a flowchart showing the process of creating intra-individual diagnostic parameters AD' based on the functional parameters BP. The intra-individual diagnostic parameter AD" was created with the aim of making the diagnosis of the subject more accurate, and it is not a comparison with healthy others using the common reference value NS, but rather an evaluation of the false, real, and reversal among the 14 meridians within the individual patient. For this purpose, the functional parameter BP is especially used as the source data.The value of the functional parameter BP is different from other AP, IQ, etc.
An old myth (the meridian function is weakened and weak, and the Qi energy is not flowing sufficiently), or it is proven (the meridian function is more active than normal, and the Qi energy is flowing more than normal). This is because it shows a deep correlation with the state of 92 stagnation). What is particularly interesting is the so-called 1; When meridians that are in a λ yang relationship have an abnormality such as a disease in the internal organs related to them, the BP value is reversed as (the value of the continuation) < (the value of the yang meridian) It is to show that.

The intra-individual diagnostic parameters AD' shown below are the left side average value BPAL, the right side average value BPAR, and the average value B of the meridians emanating from the hand, which were obtained for the measured functional parameters BP.
PAP, average value 11FAT of meridians originating from the feet, normalized standard deviation BPSL on the left side, normalized standard deviation BP5R on the right side, normalized standard deviation BPS of meridians originating from the hands.
P, the normalized standard deviation BPST of the meridians originating from the feet,
The left and right hand ratio BPLRF, the left and right foot ratio BPLRT, the left limb ratio BPPTL, and the right limb ratio Bf'rt
It is R. In addition to this, some of the whole body diagnostic parameters (average value, normalized standard deviation, ratio of limbs, left and right ratio) obtained through the process shown in FIG. 5 are used as intra-individual diagnostic parameters.

In step S71, the parameter analysis/diagnosis means 7 calculates the left side average value 13PAL for the functional parameter BP.
From the BP value of the left limb, 111'AL = 1/14XΣ1 BP.

The right side average value I]PAR is determined by Ill of the right limb.
'From the value IIPAll = 1/14 XΣ1' [IP.

The average value BPAF of the meridians emanating from the hands is determined from the BP values of both hands by BPAF = 1/14XΣ1g'FBP1,
The average value BPAT of the meridians originating from the feet is calculated from the BP values of both feet, BPAT = 1/14XΣ1? Bpl and store the results in the output area.

In step S72, similarly, the left side normalized standard deviation BPSL is calculated from the BP value of the left limb and the left side average value BPAL [IPSL=1/BPAL・114×ΣI=
'+ (Oh-[IPAL) 2], and the normalized standard deviation BPSR on the right side is calculated from the BP value of the right limb and the right side average value BPAR, BPsR=1/BPAR-114×
ΣI! '+ ([lh, -BPAR) Determined by 2,
The normalized standard deviation of the meridians originating from the hands [IPs, BPSF = 1/B from the BP value of both hands and the average value BPAF of both hands.
PAF・114×Σ目时[11'l −[IPAP
) 2, the normalized standard deviation BP ST of the meridians originating from the feet is calculated from the BP value of both feet and the average value of both feet BFAT.
([IPI-BPAt)' and store the results in the output area.

In step S73, the left and right hand ratio BPLR is similarly calculated.
F is +3PLRP from the BP value of the left hand and the IlP value of the right hand.
= Left hand average value BPALP / Right hand average value B ATIF
The ratio BPLIIT of the left and right feet is determined by [IP
From the value and the BP value of the right foot, BPLRT = Left foot average value BPALT / Right foot average value B
Obtained by ART, the left limb ratio BPFTL is calculated from the BP value of the left hand and the BP value of the left foot. BPFTL = Left hand average value BPALF / Left foot average value B
Obtained by ALT, the right limb ratio BPPTR is calculated from the BP value of the right hand and the BP value of the right foot. BPF A8 = Right hand average value (IPARP / Right foot average value B
The results are obtained by ART and stored in the output area.

In step S74, the data editing means 12 converts the six values of the intra-individual diagnostic parameters into the meanings of those parameters (
The bar graph is converted into a bar graph using the symbol that most intuitively represents the type (type), and is output to the data output device 4.

FIGS. 12(a) to 12(C) are diagrams showing examples of bar graphs of intra-individual diagnostic parameters. The average value in Figure 12(a) (
AVERAGE ), the left average value BPAL (
LEFT) and right side average value BPAR(RIGIIT)
As shown in the column, these bar graphs have the meanings on the left side, and the meanings on the right side are converted by R. Therefore, the viewer has the advantage of being able to immediately understand the meaning and size of the graph just by looking at the bar graph itself, without having to refer to the name in the left column of the bar graph. This conversion method preferably uses one character or one symbol, but is not limited to this. For example, if there are many types of bar graphs, you can convert them using "word °°". Also, the balance (B eight NCE) in Figure 12 (C)
As shown in the bar graph, these bar graphs are converted using the symbol 〉 when the ratio exceeds 1.0, and converted using the symbol 〉 when the ratio does not exceed 1.0. Therefore, the viewer has the advantage of being able to immediately read the nature of size from these symbols. In short, it should be expressed in a way that connects with the viewer's intuition depending on the purpose and state of use.

...Diagnosis using intra-individual diagnostic parameters...FIG. 8 is a flowchart showing diagnostic processing using intra-individual diagnostic parameters. As mentioned above, functional parameter analysis values have a strong correlation with false theories, demonstrations, etc., so there is an advantage that diagnosis can be made using traditional methods even based on these. The following process further defines the states of imaginary, mass production, real, most fruitful, reversal, and instability based on the intra-individual diagnostic parameters obtained as described above,
This is added as a new intra-individual diagnostic parameter.

In step S81, the parameter analysis/diagnosis means 7 calculates the 10th
The meridian showing the size from 1st to 12th (for example, if the 12th meridian from the top in Figure 11 is used, the same applies hereinafter) is diagnosed as the left side imaginary. In step S82, for each measured value Ri (or its normalized parameter R%, the same applies hereinafter) on the right side of the functional parameter BP, the meridian showing the 10th to 12th magnitude is diagnosed as a right-side imaginary. In step s83, for Li and Ri of the functional parameters BP, the meridian whose value of (Li+Ri)/2 is the 10th to 12th largest is diagnosed as false, and the meridian with the lowest value among them is diagnosed as mass-produced. . In step S84, the meridian showing the first to third largest sizes for Li in the functional parameter UP is diagnosed as the fruit on the left side. In step S85, the meridian showing the first to third largest sizes of Ri in the functional parameter BP is diagnosed as the fruit on the right side. In step s86, the functional parameter [lP Li
With respect to and Ri, the meridian whose value of (L i + Ri ) / 2 is the first to third largest is diagnosed as fruit, and the meridian with the highest value among them is diagnosed as fruit. In step S87, the relationship between Li and Ri of the functional parameters BP is (continuation) < (yang meridian), and the value of the difference is the first
If the meridian shows a magnitude between 1st and 3rd, the meridians are diagnosed as reversed. In step S88, the meridians whose left and right difference Di (=ILi-Ri I, or its normalized parameter D%, the same shall apply hereinafter) of the functional parameter BP are among the first to third largest are diagnosed as unstable. In step S89, the data editing means 12 converts the information of the above-mentioned diagnosis results into a bar graph in the order that best represents the characteristics of each diagnosis result (1) and outputs it, and also compares it with the reference value to determine whether there is an abnormality. If so, output the diagnosis result to that effect.

FIGS. 13(a) to 13(e) are diagrams showing examples of bar graphs of diagnostic results based on intra-individual diagnostic parameters. The first example is
In Figure 3(a), the BPs of the 12 meridians are shown in order from 1st to 12th. This corresponds to the order of Li in the functional parameter BP described above. Therefore, it can be seen at a glance that the 51st to 3rd meridians are real and the 10th to 12th meridians are imaginary. Similarly, unstable meridians can be seen at a glance from FIG. 13(C). These bar graphs provide useful information in determining treatment points in a very easy to understand manner.

FIG. 9 is a flowchart showing radar chart editing processing. In step 591, the data editing means 12 creates a circular pattern with a predetermined diameter by 12 (or 1
4) Draw a line segment going outward from the center and make 12 (or 14) meridian names correspond to each other at the intersection of the line segment and the circumference. In step S92, the values of the parameters Li and R4 determined for each meridian are made to correspond to the length from the center of the circle, and the respective points are connected with a straight line. In step S93,
The value of the left-right difference obtained for each meridian is made to correspond to the length from the center of the circle, and a triangle extending outward from the center of the circle is formed with each point as a vertex. In step S94, the area from the center of the circle is filled with a circle having a predetermined radius set as a threshold value. In step S95, the other circle is divided into 12 (or 14) equal parts from the center, and the same line is divided into 12 (or 14) equal parts.
(or 14) Match meridian names. In step S96, the left and right average values obtained for each meridian are made to correspond to the length from the center of the circle, and the points are connected with a straight line. Step S97
Now, the inversion value obtained for each meridian is made to correspond to the length from the center of the circle, and a triangle extending outward from the center of the circle is formed with each point as a vertex. Step 398
Now, the area from the center of the circle is overlaid with a circle of a predetermined radius set as a threshold value.

FIGS. 14(a) and 14(b) are diagrams showing an example of a radar chart. Radar charts have the advantage of being able to read more comparative information at a glance. In the radar chart of the embodiment, the various quantities obtained for each meridian are made to correspond to the length from the center of the circle, so the vicinity of the center of the circle tends to be somewhat complicated. However, since it is usually not very important to know the details of this part of the data, I decided to fill it in with a small circle. This makes radar chart 1~ even easier to see.

Furthermore, by making the radius of the small circle correspond to a certain threshold value, it is easy to get the impression that the information protruding from the small circle has important meaning.

...Determination of the stimulation treatment point... 13 (DEFIC) obtained for the functional parameter BP
), EXCES, IMBAL, and INVER are closely related to the determination of stimulation treatment points. The following processing is for automatically and safely carrying out complex judgments made by specialists.

FIG. 10 is a flowchart showing treatment point diagnosis processing. In step 5101, the treatment point determining means 10:
Regarding the functional parameter BP, imaginary (DEFIC), real (
EXCES), left-right difference (IMBA+,), reversal (I
NV E I+ ) is determined, and the top three meridians are identified for each meridian. In step 5102, the treatment point dictionary storage means 11 is referred to in accordance with the above-determined imaginary, real, left-right difference, and reverse meridian information, and overpressure treatment point information TJ is read out. The treatment point dictionary storage means 11 stores dictionary information established through long clinical experience regarding the relationship between the meridian information and stimulation treatment points, and outputs appropriate treatment point information TJ based on the following relationship, for example. do.

(1) Treatment of the imaginary meridian - Stimulating the original hole of the real meridian (2) Treatment of the reversed meridian - Stimulating the original hole of the real meridian (3) Treatment of the real meridian - Recruitment of the imaginary meridian Stimulation (4) Treatment of unstable meridians Stimulation of the golden hole of the imaginary meridian (5) Activation and balancing treatment of 28 meridians throughout the body - Activation of the golden hole of the imaginary meridian, recruitment hole stimulation - The source of the real meridian Decreased by hole stimulation (6) Treatment of the relative decline of the 14 meridian in the upper body - recruitment stimulation of the imaginary meridian (7) Recruitment stimulation of the 14 meridian in the lower body - original hole stimulation of the imaginary meridian (8) and the imaginary meridian Treatment when the meridians in the relationship of three yin and three yang are imaginary and the difference between the left and right is large Stimulating the original hole of the imaginary meridian (9) The meridian of imaginary and the meridian that has a yin and yang relationship is imaginary - the gold of the imaginary meridian Stimulate the hole (10) Unstable meridian and yin-yang, two meridians in the three yin and three yang relationship treat the false - Stimulate the recruitment of the unstable meridian (11) Actual meridian and conflict relationship If the meridian is unstable Treatment: Stimulating the original hole of the fruitful meridian (12) Treatment of false meridians that are mutually related to unstable meridians - Stimulating the original hole of the unstable meridian (13) Stimulating the original hole of the unstable meridian and the contradictory meridian, In step 5103, the data editing means 12 stimulates the recruitment of unstable meridians for treatment when the left-right difference between the reverse relationship meridians is larger than the reference value.
2 (or 14) meridian names, and the ranks of the top three of each individual diagnostic parameter corresponding to each of the meridian names and indicating the above-mentioned imaginary to reversal are expressed by the number of corresponding symbols; The stimulation point names of the raw hole, recruitment hole, and gold hole that correspond to the meridian names, and the points to be treated are expressed by adding symbols to the stimulation point names are output in a table. In step 5104, the treatment points are added to a predetermined human body diagram pattern and output.

FIG. 15 is a diagram showing an example of table information of treatment points. Here, for example, in order to treat the imaginary meridian (A) (increase L% to R%), it is shown that the original hole (Taien) of the real meridian (Hai) should be stimulated. The treatment point for the meridian of reversal (Shin) is also the same original hole (Taien). Conversely, in order to cure the real meridian (high) (reducing L% to R%), it is recommended to stimulate the recruitment hole of the false meridian (a). According to such treatment point information, it is easy to treat the false and real meridians and restore balance. Moreover, the table is very easy to read because it shows the numbers of similar symbols to indicate the imaginary, real, reversal, etc. of each of the first to third places.

FIG. 16 is a diagram showing an example of information on treatment points shown in a human body diagram. Since only the necessary treatment points are displayed, there is no chance of mistaken recognition and it is safe.

[Second Embodiment] In the above description of the first embodiment, an information processing device 2 including all the functional blocks of the embodiment was shown.

However, the information processing apparatus according to the present invention can be provided as an information processing apparatus that can produce its own unique effects by combining optimal functional blocks according to the purpose of use.

The information processing apparatus of the second embodiment, as shown in FIG. a parameter analysis/diagnosis means 7 which calculates and analyzes the whole body diagnostic parameters to obtain 80 systemic diagnostic parameters useful for diagnosis, and outputs them; and a data editing means 12 for outputting the data to the data output device 4.

As a result, the information processing device of the second embodiment is realized with a simple configuration and processing, and is useful for medical specialists as shown in the numerical table of FIG. 11 and FIGS. 12(a) to (C). Diagnostic information is available.

[Third Embodiment] In FIG. 1, the information processing device of the third embodiment includes a buffer means 6 for temporarily storing functional parameters BP to IQ, etc. inputted from the measuring device 1, and a buffer means 6 for temporarily storing functional parameters BP to IQ, etc. Functional parameters BP to IQ, etc. are calculated and analyzed to obtain systemic diagnostic parameters AD useful for diagnosis, and these are compared with a common standard value NS, and the systemic diagnostic parameters AD and their common standard are calculated. A parameter analysis/diagnosis means 7 that outputs the results of comparison with the value NS, and a reference value table that stores a table of common reference values NS prepared in advance for comparison with the systemic diagnostic parameter AD. It consists of a storage means 8 and a data editing means 12 which edits the systemic diagnostic parameters into a predetermined format and outputs them to the data output device 4.

Therefore, the information processing apparatus of the third embodiment can be realized by simple configuration and processing of 41, and for example, the information processing apparatus shown in FIGS.
As shown in the figure, the common reference value N along with useful systemic diagnostic information
A comparison result with S is obtained.

[Fourth Embodiment] In FIG. 1, the information processing device of the fourth embodiment includes a buffer means 6 for temporarily storing functional parameters [IP to IQ, etc.] input from the measuring device 1, and a buffer means 6 for reading out from the buffer means 6. calculate and analyze the functional parameters BP to IQ etc. to obtain a systemic diagnostic parameter AD useful for diagnosis, compare it with the common reference value NS, and based on the comparison result predetermined diagnostic result information DJ The parameter analysis/diagnosis means 7 to output and the standard value notation element 0 means 8 which stores a table of common standard values NS prepared in advance for comparison with the systemic diagnostic parameters AD, and the common A diagnostic dictionary storage means 9 stores systemic diagnosis/h report OJ in a location accessed based on the comparison result with the reference value NS, and edits the diagnostic result information DJ into a predetermined format, data editing means 12 that outputs the data to the data output device 4;
It consists of

Therefore, the information processing device of the fourth embodiment is suitable for medical checkups because it allows even those who have no knowledge to provide diagnostic results to automatic fishing.

[Fifth Embodiment] In FIG. 1, the information processing device of the fifth embodiment includes an i-function means 6 for temporarily storing at least the functional parameter BP input from the measuring device 1, and a buffer means 6 for reading out from the buffer means 6. A parameter analysis/diagnosis means 7 that calculates and analyzes the functional parameters [lP to obtain intra-individual diagnostic parameters AD' useful for diagnosis, and outputs them, and converts the intra-individual diagnostic parameters D' etc. into a predetermined format. and a data editing means 12 for editing and outputting them to the data output device 4.

As a result, the information processing apparatus of the fifth embodiment can be realized with a simple configuration and processing, and for example, it is useful for specialists as shown in FIGS.
Useful intra-individual diagnostic information can be obtained as shown in FIGS. 14(e) and 14(a) and 14(b).

[Sixth Embodiment] In FIG. 1, the information processing device of the sixth embodiment includes a buffer means 6 for temporarily storing at least the functional parameter BP input from the measuring device 1, and a functional parameter read from the buffer means 6. A parameter analysis/diagnosis means 7 that calculates and analyzes UP to obtain intra-individual diagnostic parameters AD' useful for diagnosis, and outputs them, and appropriate treatment of the subject based on the intra-individual diagnostic parameters 〇'. A treatment point determining means 10 that determines and outputs the point, and appropriate stimulation treatment point information TJ for the raw hole, recruitment hole, and gold hole are stored in a location accessed based on the individual diagnosis parameter AD'. A treatment point dictionary storage means 11 and a data output device 4 edit the subject's in-person diagnostic parameters AD' and appropriate stimulation treatment point information TJ, etc. into a predetermined format.
The data editing means 12 is provided for outputting data to the computer.

As a result, the information processing apparatus of the sixth embodiment is realized with a simple configuration and processing, and provides useful treatment point information as shown in FIGS. 15 and 16, for example.

In addition, in the above-mentioned first to sixth embodiments, the numerical data sent from the measuring device 1h1 to the information processing device 2 is transmitted from the limb light DifJ 2.
The case has been described in which there are 4 functional parameters including the pre-polarization current value BP, the post-polarization current value AP, the polarization speed TC1 and the polarization electrical quantity IQ, or the 5 functional parameters including the polarization angle θ, which were measured and calculated in 8 wells.

However, the present invention is not limited to this, and for example, the numerical data sent from the measuring device 1 to the information processing device 2 may be a series of current value IDs themselves that have been A/D converted by the measuring device 1.

This is because the calculation of the five functional parameters as described above can be easily performed in the information processing device 2 using the same calculation method as in the measuring device 1. Furthermore, if such calculations are performed in the information processing device 2, all complex calculations related to digital IA theory can be performed in the information processing device 2 at once, and the measuring device 1 can be made smaller and simpler accordingly.

[Effects of the Invention] As described above, according to the present invention, the elements of the intra-individual diagnostic parameters are carefully selected and the intra-individual diagnostic parameters that are closely related to the individual's meridians and organ functions are output. It can provide useful and more accurate diagnostic parameters. Preferably, more scientific and quantitative meridians such as myths, demonstrations, and reversals used in ancient Oriental medicine.
Since we provide information on organ function diagnosis, appropriate treatment can be provided based on this information.

Further, according to the present invention, easy-to-understand stimulation treatment point information can be provided as a result of diagnosis based on at least the relative relationship between intrapersonal meridians and organ functions, so there is no need for complicated rules to determine stimulation treatment points.

[Brief explanation of drawings]

FIG. 1 is a block configuration diagram of the meridian-organ function information processing device of the first embodiment, FIG. 2 is a diagram explaining one usage mode of the measuring device 1, and FIG. 3 (a) and (b) are the tips of fingers and toes. [Reference diagram showing the 14th hole in Part 111, Figures 4 (a) and (b) are diagrams explaining the measurement and calculation principles of functional parameters such as BP-IQ, and Figure 5 shows the whole body of the subject. FIG. 6 is a flowchart showing the diagnostic processing of systemic functions; FIG. 7 is a flowchart showing the creation of the individual diagnostic parameters AD' based on the functional parameters BP; Figure 9 is a flowchart showing diagnostic processing using intra-individual diagnostic parameters, Figure 9 is a flowchart showing radar chart editing processing, Figure 10 is a flowchart showing treatment point diagnosis processing, and Figure 11 is an output list of systemic diagnostic parameters. Figures 12 (a) to (C) are diagrams showing examples of bar graphs of intra-individual diagnostic parameters; Figures 13 (a) to (e) are examples of bar graphs of diagnostic results based on individual diagnostic parameters. A diagram showing FIG. 14(a),
(b) is a diagram showing an example of a radar chart, FIG. 15 is a diagram showing an example of table information of treatment points, and FIG. 16 is a diagram showing an example of information of treatment points displayed on a human body diagram. In the figure, 1... meridian-organ function parameter measuring device, 2
...Main body of meridian-organ function information processing device, 3.. External storage device, 4.. Data output device, 5.. Keyboard, 6.. Buffer means, 7.. Parameter analysis/diagnosis. Means, 8... Reference value table storage means, 9... Diagnostic dictionary storage means, 10... Treatment point determining means, 11...
Treatment point dictionary storage means, 12 . . . data editing means. Figure 3 (b) Figure 5〉Ore-ken) □ - (Yakutori) -

Claims (6)

[Claims] (1) Meridians - data input means for inputting dynamic functional information related to organ functions, and parameter calculation/analysis means for calculating and analyzing the functional information input by the data input means to form predetermined intra-individual diagnostic parameters. and a data editing/outputting means for editing and outputting the intra-individual diagnostic parameters formed by the parameter calculation/analysis means into a predetermined format. (2) The functional information is signal information related to a dynamic change in biological impedance in response to an electrical signal applied through an acupuncture point such as a well in a living body. Meridian - organ function information processing device. (3) Functional information is information on functional parameters related to dynamic changes in biological impedance in response to electrical signals applied through acupuncture points such as wells in the living body, and includes pre-polarization current BP, total polarization charge IQ, , a post-polarization current AP, a polarization speed TC, and a polarization angle θ. (4) The intra-individual diagnostic parameter is characterized by being any one or more of the average value of functional parameters of multiple acupuncture points, the normalized standard deviation, the ratio of limbs, and the ratio of left and right sides. A meridian-organ function information processing device according to claims 1 to 3. (5) The intra-individual diagnostic parameters are the intra-individual diagnostic parameters obtained for at least the pre-polarization current BP value of multiple acupuncture points, and are K from the one with the largest pre-polarization current BP value.
th one, from the one with the smallest pre-polarization current BP value to the Lth one, and one from the one with the largest average value of the pre-polarization current BP value obtained for the corresponding left and right meridians to the Mth one. , the average value of the pre-polarization current BP calculated for the corresponding left and right meridians from the smallest to the current BP value)
<(Pre-polarization current BP value of Yin meridian) Among those satisfying the relationship, the Pth one from the one with the largest difference in BP value and the difference in the pre-polarization current BP value between the corresponding left and right meridians. 4. The meridian-organ function information processing device according to claim 1, wherein the meridian-organ function information processing device is any one or more of the largest one to the Qth number. (6) Meridians - Data input means for inputting dynamic functional information related to organ functions, and treatment points that store stimulation treatment point information indicating which of the acupuncture points such as the original hole, the recruitment hole, and the yu hole should be stimulated and treated. information storage means; parameter calculation/analysis means for calculating and analyzing the functional information input by the data input means to form predetermined intra-individual diagnostic parameters; treatment point determining means for accessing the treatment point information storage means and reading out corresponding stimulation treatment point information based on the treatment point information storage means;
A meridian-organ function information processing device comprising at least data editing and outputting means for editing and outputting the stimulation treatment point information read by the treatment point determining means into a predetermined format.