CN110432889B - Electronic meridian health state detection device - Google Patents

Electronic meridian health state detection device Download PDF

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CN110432889B
CN110432889B CN201910780558.9A CN201910780558A CN110432889B CN 110432889 B CN110432889 B CN 110432889B CN 201910780558 A CN201910780558 A CN 201910780558A CN 110432889 B CN110432889 B CN 110432889B
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崔龙竹
刘毅
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Shenzhen Wenku Information Technology Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/0048Detecting, measuring or recording by applying mechanical forces or stimuli
    • A61B5/0053Detecting, measuring or recording by applying mechanical forces or stimuli by applying pressure, e.g. compression, indentation, palpation, grasping, gauging
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
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Abstract

The invention relates to an electronic meridian health state detection device, which belongs to the technical field of meridian detection and solves the problems that in the prior art, a detection result obtained by detecting meridians through a human body surface electric signal is inaccurate, the future health state of the meridians cannot be predicted and prevented; the meridian position information collector is used for collecting human epidermis information and bioelectricity signal information at the meridian position of the human dermis; the meridian health state analyzer is used for analyzing the current health state of the meridian position according to the collected epidermis information and the bioelectricity signal information and predicting the future health state of the meridian. The invention collects the human epidermis information and the human dermis bioelectricity signal information for detection, has more accurate detection result and can predict the future health state of the meridians for prevention.

Description

Electronic meridian health state detection device
Technical Field
The invention relates to the technical field of electronic meridian detection, in particular to an electronic meridian health state detection device.
Background
With the rapid development of modern medicine, researchers find that a large amount of bioelectricity exists in human bodies, and the bioelectricity is emitted from human acupuncture points and is transmitted to corresponding tissues through a meridian system. The meridian system of the human body is actually a huge system, and when a certain part is blocked, the body will be in an abnormal state. For example, local pain and swelling may occur in some cases, which is caused by blockage and obstruction of the corresponding meridians.
For detecting the meridian state of a human body, the traditional method generally comprises the steps of detecting electric signals on the surface of the human body, screening and analyzing the electric signals on the surface of the human body to obtain meridian signals, and detecting the meridian state; the improved detection method is to collect the bioelectric signal information and detect the current health state of the meridians according to the bioelectric signal information.
The prior art has the following defects that firstly, the detection is carried out according to the electric signals on the body surface of a human body, and the detection result is inaccurate due to the interference of the external environment; secondly, the existing electronic meridian state detection device detects the meridian state according to the bioelectric signal, the evaluation factors are not comprehensive enough, the detection precision is still to be improved, and the future meridian state cannot be predicted.
Disclosure of Invention
In view of the above analysis, the present invention provides an electronic meridian health status detecting device, which is used to solve the problems that the existing detecting device is inaccurate in detection and cannot predict the future health status of meridians.
The invention provides an electronic meridian health state detection device, which comprises a meridian part information collector and a meridian health state analyzer;
the meridian position information collector is used for collecting human epidermis information and bioelectricity signal information at the meridian position of the human dermis;
the meridian health state analyzer is used for analyzing the current health state of the meridian position according to the acquired epidermis information and bioelectricity signal information and predicting the future health state of the meridian.
Further, the collected human epidermis information comprises body surface temperature information, pressure information and distance information;
the collected bioelectrical signal information at the meridian position of the dermis layer of the human body comprises a meridian position and a meridian voltage;
the meridian health state analyzer obtains skin pain degree based on the pressure information, obtains skin swelling degree based on the distance information, and obtains the appearance frequency of meridian electric signals, the meridian voltage stability and the meridian signal proportion based on the bioelectricity signal information analysis;
the meridian health state analyzer analyzes the current health state of the meridian position based on the acquired body surface temperature information, the skin pain degree, the skin swelling degree, the meridian voltage, the frequency of the meridian electric signals, the meridian voltage stability and the meridian signal occupation ratio obtained through analysis, and predicts the future health state of the meridians.
Further, the meridian part information collector comprises an information acquisition device, an acquisition driving device and a fixing device;
the information acquisition device includes:
a plurality of probes for applying pressure to a skin of a human body; the probe is arranged in the probe and is used for extending out of the top of the probe to reach the dermis of the human body and collecting bioelectric signals at the positions of meridians and collaterals;
the laser ranging sensor is used for acquiring distance information from the laser ranging sensor to the surface of the skin;
the temperature sensor is used for acquiring temperature information of the human epidermis;
the probe pressure sensor is used for acquiring pressure information applied by the probe to a human body;
the acquisition driving device comprises a probe driver and a probe driver, the probe driver is used for driving the probe to extend and retract, and the probe driver is used for driving the probe to extend and retract;
the fixing device is used for fixing the information acquisition device.
Further, based on the bioelectric signal information, the meridian health status analyzer performs the following process analysis to obtain the appearance frequency of the meridian electric signal, the meridian voltage stability and the meridian signal proportion:
determining detection time T according to the detection starting time and the detection ending time;
determining the frequency of the meridian electric signals according to the voltage threshold value V _ base of the meridian electric signals, the total number N _ total of the collection points detected within the detection time T and the total number N of the collection points of which the detected voltage of the meridian electric signals is lower than the voltage threshold value V _ base:
Figure BDA0002176450110000031
determining the stability of the meridian voltage according to the pressure difference between the highest voltage and the lowest voltage of the meridian electric signal at the acquisition point within the detection time T;
determining the ratio of meridian signals according to the total number of the acquisition points detected in the detection time N _ total and the total number of the acquisition points detected in the meridian electrical signals N1:
Figure BDA0002176450110000032
further, the fixing device includes:
the protective cover is used for providing an isolated information acquisition environment;
the protective cover fixing plate is used for fixing the protective cover and slidably connecting the probe fixing plate and the probe fixing plate, and the laser ranging sensor is arranged below the protective cover fixing plate;
the probe pressure sensor is arranged above the probe fixing plate, and the probe is fixed below the probe fixing plate;
the probe fixing plate is fixed below the probe fixing plate;
the temperature sensor is arranged on the side face of the bottom of the probe rod, grooves are formed in the two sides of the probe rod, and the probe fixing plate can drive the probe to move up and down in the probe rod along the grooves.
Furthermore, fixing device still includes probe fixed plate track and probe fixed plate track, probe fixed plate track and probe fixed plate track are fixed in on the protection casing fixed plate respectively, and the probe fixed plate can be followed probe fixed plate track reciprocates.
Furthermore, the probe fixing plate and the probe fixing plate are connected with the protective cover fixing plate through traction ropes respectively.
Further, the information acquisition device further includes:
the probe pressure sensor is arranged on the probe fixing plate, and is used for collecting tension information of a traction rope between the probe fixing plate and the protective cover fixing plate when the probe extends out to collect a biological electric signal, and sending the tension information to the meridian health state analyzer to judge whether the extension of the probe reaches the limit so as to protect the device;
the probe laser ranging sensor is arranged below the probe fixing plate and used for acquiring distance information from the probe fixing plate to the human epidermis and sending the distance information to the meridian health state analyzer, if the acquired distance information from the probe fixing plate to the human epidermis is smaller than a set distance threshold value, an obstacle is judged to exist in the downward moving process, and the meridian health state analyzer controls the probe fixing plate to stop downward moving or to move upward;
the protective cover displacement sensor is arranged on the side face of the bottom of the protective cover and used for acquiring displacement information of the protective cover and sending the displacement information to the meridian health state analyzer to judge whether the contact between the protective cover and the human epidermis is stable or not, and when the displacement is zero, the contact is judged to be stable;
and the pressure sensor is arranged at the bottom of the protective cover and used for collecting the pressure between the protective cover and the skin of the human body and sending the pressure to the meridian health state analyzer to judge whether the protective cover is in contact with the skin of the human body.
Further, the meridian state at the current meridian position is analyzed by comparing the acquired body surface temperature, the pain degree, the swelling degree, the meridian voltage, the frequency of appearance of the meridian electric signal, the stability of the meridian voltage and the ratio of the meridian signal obtained by analysis with the threshold value of the corresponding information at the normal meridian position, judging the meridian state at the meridian position smaller than the threshold value of the corresponding information at the normal meridian position as blocked, and judging the meridian state at the meridian position greater than or equal to the threshold value of the corresponding information at the normal meridian position as normal.
Further, the future meridian state at the meridian position is predicted by:
predicting future meridian signal parameters by using a prediction model according to the collected human epidermis information and bioelectricity signal information to obtain corresponding parameter values, wherein the meridian signal parameters comprise body surface temperature, pain degree, swelling degree, meridian voltage, frequency of appearance of meridian electric signals, meridian voltage stability and meridian signal proportion;
respectively calculating similarity and weight values of each meridian signal parameter of a human body and three meridian states by the following formulas, wherein the three meridian states comprise a good state, a common state and a bad state;
calculating the similarity and weight values of the single parameter and three meridian states;
good state similarity and weight value calculation formula:
Sim-F-good-i=1-|F1i-Fgood|/(F1i+Fgood),
Figure BDA0002176450110000051
general state similarity and weight value calculation formula:
Sim-F-nomal-i=1-|F1i-Fnomal|/(F1i+Fnomal),
Figure BDA0002176450110000052
the bad state similarity and weight value calculation formula is as follows:
Sim-F-bad-i=1-|F1i-Fbad|/(F1i+Fbad),
Figure BDA0002176450110000061
wherein i is 1,2, n, n represents the number of collection points, F1iFor actually detected parameter values, F1For preset parameter values, FgoodIs a reference value in good condition, w-F-good-iFor good state weight values, Sim-F-good-iThe actual test value and the good state similarity of a single parameter at the position of the meridian are obtained; fnomalIs a reference value in a normal state, w-F-nomal-iRepresents the weight value in the normal state, Sim-F-nomal-iRepresenting the similarity of the actual test value and the general state of a single parameter at the position of the meridian; fbadIs a reference value in a bad state; w is a-F-bad-iThe weight value under the bad state; sim-F-bad-iRepresenting the actual test value and the bad state similarity of a single parameter at the position of the meridians;
calculating the similarity between the single parameter of the whole meridian signal and three meridian states;
the similarity calculation formula of the whole channels and collaterals and the good-state channels and collaterals is as follows:
Figure BDA0002176450110000062
the similarity calculation formula of the whole meridians and the general meridians:
Figure BDA0002176450110000063
the overall meridian and adverse state meridian similarity calculation formula:
Figure BDA0002176450110000064
collecting all parameters by using a maximum value sorting algorithm, and calculating a value with the maximum similarity: smax=θ(S-f-good*S-s-good*S-p-good*S-v-good*S-t-good*S-l-good*S-pain-good,S-f-nomal*S-s-nomal*S-p-nomal*S-v-nomal*S-t-good*S-l-good*S-pain-good,S-f-bad*S-s-bad*S-p-bad*S-v-bad*S-t-bad*S-l-bad*S-pain-bad) Wherein S is-fRepresenting the frequency of occurrence of electrical signals of the channels and collaterals, S-sIndicates the stable voltage of the meridians and collaterals, S-pRepresenting the ratio of the signals in the channels and collaterals, S_vRepresenting the voltage of the meridians, S_tIndicating the body surface temperature, S-lIndicates the degree of swelling, S_painIndicating the degree of pain;
Smaxand representing the value with the maximum similarity in each parameter, and determining the future overall meridian state according to the meridian state corresponding to the maximum similarity.
According to the technical scheme, the invention has the following beneficial effects:
1. the invention adopts the probe and the sensor to collect the epidermis information of the human body and adopts the probe to collect the bioelectric signal information of the meridian position of the dermis layer of the human body, and detects the current meridian state based on the information, the epidermis information of the human body is the key external representation of the meridian state, the bioelectric signal information is the key internal representation of the meridian state, and the detection result can be more accurate by combining the two information;
2. the invention adopts the meridian health state analyzer to obtain the corresponding information of future meridian signals according to the collected human epidermis information and bioelectricity signal information, and predicts and timely prevents the future health state of the meridians.
In the invention, the technical schemes can be combined with each other to realize more preferable combination schemes. Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
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The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, wherein like reference numerals are used to designate like parts throughout.
Fig. 1 is a schematic view of an electronic meridian health status detection device.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and together with the description, serve to explain the principles of the invention and not to limit the scope of the invention.
An embodiment of the present invention discloses an electronic meridian health status detection apparatus, as shown in fig. 1. The device comprises a meridian part information collector and a meridian health state analyzer;
the meridian position information collector is used for collecting human epidermis information and bioelectricity signal information at the meridian position of the human dermis;
the meridian health state analyzer is used for analyzing the current health state of the meridian position according to the acquired epidermis information and bioelectricity signal information and predicting the future health state of the meridian.
In order to enable the detection result to be more accurate, the collected human body epidermis information comprises body surface temperature information, pressure information and distance information;
the collected bioelectrical signal information at the meridian position of the dermis layer of the human body comprises a meridian position and a meridian voltage;
the meridian health state analyzer obtains skin pain degree based on the pressure information and obtains skin swelling degree based on the distance information, the characteristics are key external factors capable of representing meridian states, and the frequency of occurrence of meridian electric signals, the voltage stability of meridians and collaterals and the signal proportion of meridians and collaterals are obtained based on the analysis of the bioelectricity signal information, and the information is key internal factors capable of representing meridian states;
wherein the skin pain degree is obtained by contacting the probe with human skin, applying different pressures to the skin, and checking the pain threshold of the meridian part of the subject; the swelling degree of the skin is obtained by comparing the acquired distance information with the distance between the normal human body epidermis and the laser ranging sensor.
The meridian health state analyzer analyzes the current health state of the meridian position based on the acquired body surface temperature information, the skin pain degree, the skin swelling degree, the meridian voltage, the frequency of the meridian electric signals, the meridian voltage stability and the meridian signal occupation ratio obtained through analysis, and predicts the future health state of the meridians.
Preferably, the meridian part information collector comprises an information acquisition device, an acquisition driving device and a fixing device;
the information acquisition device includes:
a plurality of probes for applying pressure to a skin of a human body; the probe is arranged in the probe and is used for extending out of the top of the probe to reach the dermis of the human body and collecting bioelectric signals at the positions of meridians and collaterals; the probe rods and the probes can simultaneously acquire human epidermis information and bioelectricity signal information of a plurality of meridian positions, and because the diameter of the probe is only about nanometer level, a human body hardly feels pain in the acquisition process, the wound caused by the pain can be ignored, and the use is safe.
The laser ranging sensor is used for acquiring distance information from the laser ranging sensor to the surface of the skin;
the temperature sensor is used for acquiring temperature information of the epidermis of a human body so as to judge whether the meridian position is heated or cold;
the probe pressure sensor is used for acquiring pressure information applied by the probe to a human body;
the acquisition driving device comprises a probe driver and a probe driver, the probe driver is used for driving the probe to extend and retract, and the probe driver is used for driving the probe to extend and retract;
the fixing device is used for fixing the information acquisition device and preventing the information acquisition device from shaking in the acquisition process to cause inaccurate acquisition results.
Preferably, based on the bioelectric signal information, the meridian health status analyzer performs the following process analysis to obtain the appearance frequency of the meridian electric signal, the meridian voltage stability and the meridian signal ratio:
determining detection time T according to the detection starting time and the detection ending time;
determining the frequency of the meridian electric signals according to the voltage threshold value V _ base of the meridian electric signals, the total number N _ total of the collection points detected within the detection time T and the total number N of the collection points of which the detected voltage of the meridian electric signals is lower than the voltage threshold value V _ base:
Figure BDA0002176450110000101
determining the stability of the meridian voltage according to the pressure difference between the highest voltage and the lowest voltage of the meridian electric signal at the acquisition point within the detection time T;
determining the ratio of meridian signals according to the total number of the acquisition points detected in the detection time N _ total and the total number of the acquisition points detected in the meridian electrical signals N1:
Figure BDA0002176450110000102
compared with the collection of relevant static characteristics, the collection of relevant dynamic characteristics of the meridians at each collection point within the detection time T is more beneficial to predicting the health state of the meridians later. Because the static characteristics only reflect the state of a certain time point, if the human body state is unstable, the acquired information is inevitably inaccurate. The dynamic characteristics reflect the continuous change of each characteristic within a certain time period, and can reflect the future state of the meridians.
Preferably, the fixing means comprises:
the protective cover is used for providing an isolated information acquisition environment;
the protective cover fixing plate is used for fixing the protective cover and slidably connecting the probe fixing plate and the probe fixing plate, and the laser ranging sensor is arranged below the protective cover fixing plate;
the probe pressure sensor is arranged above the probe fixing plate, and the probe is fixed below the probe fixing plate;
the probe fixing plate is fixed below the probe fixing plate;
the temperature sensor is arranged on the side face of the bottom of the probe rod, grooves are formed in the two sides of the probe rod, and the probe fixing plate can drive the probe to move up and down in the probe rod along the grooves so that the probe can extend out of the probe rod.
Preferably, fixing device still includes probe fixed plate track and probe fixed plate track, probe fixed plate track and probe fixed plate track are fixed in respectively on the protection casing fixed plate, and the probe fixed plate can be followed probe fixed plate track reciprocates, and is optional, can fix probe fixed plate track and probe fixed plate track in the same one side of protection casing fixed plate, and is preferred, also can be fixed in the both sides of fixed plate respectively with two sets of probe fixed plate tracks and probe fixed plate track are fixed to make probe and probe reciprocate more stably, the data of gathering are more accurate.
Specifically, the probe fixing plate and the probe fixing plate are connected with the protective cover fixing plate through traction ropes respectively.
Specifically, the information acquisition device further includes:
the probe pressure sensor is arranged on the probe fixing plate, and is used for collecting tension information of a traction rope between the probe fixing plate and the protective cover fixing plate when the probe extends out to collect a biological electric signal, and sending the tension information to the meridian health state analyzer to judge whether the extension of the probe reaches the limit so as to protect the device; and when the pulling force is greater than the set pulling force threshold value, the limit is not reached.
The probe laser ranging sensor is arranged below the probe fixing plate and used for acquiring distance information from the probe fixing plate to the human epidermis and sending the distance information to the meridian health state analyzer, if the acquired distance information from the probe fixing plate to the human epidermis is smaller than a set distance threshold value, an obstacle is judged to exist in the downward moving process, and the meridian health state analyzer controls the probe fixing plate to stop downward moving or to move upward;
the protective cover displacement sensor is arranged on the side face of the bottom of the protective cover and used for acquiring displacement information of the protective cover and sending the displacement information to the meridian health state analyzer to judge whether the contact between the protective cover and the human epidermis is stable or not, and when the displacement is zero, the contact is judged to be stable;
and the pressure sensor is arranged at the bottom of the protective cover and used for collecting the pressure between the protective cover and the skin of the human body and sending the pressure to the meridian health state analyzer to judge whether the protective cover is in contact with the skin of the human body.
Specifically, the meridian state at the current meridian position is analyzed in the following manner, the acquired body surface temperature, the acquired pain degree, the acquired swelling degree, the acquired meridian voltage, the acquired frequency of the meridian electric signal, the acquired stability of the meridian voltage and the acquired proportion of the meridian signal are compared with the threshold value of the corresponding information at the normal meridian position, the meridian state at the meridian position smaller than the threshold value of the corresponding information at the normal meridian position is judged as blockage, and the meridian state at the meridian position greater than or equal to the threshold value of the corresponding information at the normal meridian position is judged as normal.
Preferably, the future meridian state at the meridian location is predicted by:
predicting future meridian signal parameters by using a prediction model according to the collected human epidermis information and bioelectricity signal information to obtain corresponding parameter values, wherein the meridian signal parameters comprise body surface temperature, pain degree, swelling degree, meridian voltage, frequency of appearance of meridian electric signals, meridian voltage stability and meridian signal proportion; the prediction model is obtained through AI training based on the meridian information database, and the reliability is high.
Respectively calculating similarity and weight values of each meridian signal parameter of a human body and three meridian states by the following formulas, wherein the three meridian states comprise a good state, a common state and a bad state;
calculating the similarity and weight values of the single parameter and three meridian states;
good state similarity and weight value calculation formula:
Sim-F-good-i=1-|F1i-Fgood|/(F1i+Fgood),
Figure BDA0002176450110000121
general state similarity and weight value calculation formula:
Sim-F-nomal-i=1-|F1i-Fnomal|/(F1i+Fnomal),
Figure BDA0002176450110000122
the bad state similarity and weight value calculation formula is as follows:
Sim-F-bad-i=1-|F1i-Fbad|/(F1i+Fbad),
Figure BDA0002176450110000131
wherein i is 1,2, n, n represents the number of collection points, F1iFor actually detected parameter values, F1For preset parameter values, FgoodIs a reference value in good condition, w-F-good-iFor good state weight values, Sim-F-good-iThe actual test value and the good state similarity of a single parameter at the position of the meridian are obtained; fnomalIs a reference value in a normal state, w-F-nomal-iRepresents the weight value in the normal state, Sim-F-nomal-iRepresenting the similarity of the actual test value and the general state of a single parameter at the position of the meridian; fbadIs a reference value in a bad state; w is a-F-bad-iThe weight value under the bad state; sim-F-bad-iRepresenting the actual test value and the bad state similarity of a single parameter at the position of the meridians;
calculating the similarity between the single parameter of the whole meridian signal and three meridian states by using the similarity and the weighted value;
the similarity calculation formula of the whole channels and collaterals and the good-state channels and collaterals is as follows:
Figure BDA0002176450110000132
the similarity calculation formula of the whole meridians and the general meridians:
Figure BDA0002176450110000133
the overall meridian and adverse state meridian similarity calculation formula:
Figure BDA0002176450110000134
collecting all parameters by using a maximum value sorting algorithm, and calculating a value with the maximum similarity: smax=θ(S-f-good*S-s-good*S-p-good*S-v-good*S-t-good*S-l-good*S-pain-good,S-f-nomal*S-s-nomal*S-p-nomal*S-v-nomal*S-t-good*S_l-good*S-pain-good,S-f-bad*S-s-bad*S-p-bad*S-v-bad*S-t-bad*S-l-bad*S-pain-bad),
Wherein S is_fRepresenting the frequency of occurrence of electrical signals of the channels and collaterals, S_sIndicates the stable voltage of the meridians and collaterals, S-pRepresenting the ratio of the signals in the channels and collaterals, S_vRepresenting the voltage of the meridians, S_tIndicating the body surface temperature, S-lIndicates the degree of swelling, S_painIndicating the degree of pain;
Smaxand representing the value with the maximum similarity in each parameter, and determining the future overall meridian state according to the meridian state corresponding to the maximum similarity.
On one hand, the electronic meridian health status detection device adopts the probe and the sensor to collect the epidermis information of the human body and adopts the probe to collect the bioelectric signal information at the meridian position of the dermis layer of the human body, and detects the current meridian status based on the information, the epidermis information of the human body is the key external representation of the meridian status, the bioelectric signal information is the key internal representation of the meridian status, and the detection result can be more accurate by combining the two information; on the other hand, the meridian health state analyzer can obtain the corresponding information of future meridian signals according to the collected human epidermis information and bioelectricity signal information, and predict and timely prevent the future health state of the meridians.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.

Claims (9)

1. An electronic meridian health state detection device is characterized by comprising a meridian part information collector and a meridian health state analyzer;
the meridian position information collector is used for collecting human epidermis information and bioelectricity signal information at the meridian position of the human dermis;
the meridian health state analyzer is used for analyzing the current health state of the meridian position according to the acquired epidermis information and bioelectricity signal information and predicting the future health state of the meridian;
the collected human body epidermis information comprises body surface temperature information, pressure information and distance information;
the collected bioelectrical signal information at the meridian position of the dermis layer of the human body comprises a meridian position and a meridian voltage;
the meridian health state analyzer obtains skin pain degree based on the pressure information, obtains skin swelling degree based on the distance information, and obtains the appearance frequency of meridian electric signals, the meridian voltage stability and the meridian signal proportion based on the bioelectricity signal information analysis;
the meridian health state analyzer analyzes the current health state of the meridian position based on the acquired body surface temperature information, the skin pain degree, the skin swelling degree, the meridian voltage, the frequency of the meridian electric signals, the meridian voltage stability and the meridian signal occupation ratio obtained through analysis, and predicts the future health state of the meridians.
2. The apparatus for detecting health status of meridians according to claim 1, wherein said meridian site information collector comprises an information collecting device, a collecting driving device and a fixing device;
the information acquisition device includes:
a plurality of probes for applying pressure to a skin of a human body; the probe is arranged in the probe and is used for extending out of the top of the probe to reach the dermis of the human body and collecting bioelectric signals at the positions of meridians and collaterals;
the laser ranging sensor is used for acquiring distance information from the laser ranging sensor to the surface of the skin;
the temperature sensor is used for acquiring temperature information of the human epidermis;
the probe pressure sensor is used for acquiring pressure information applied by the probe to a human body;
the acquisition driving device comprises a probe driver and a probe driver, the probe driver is used for driving the probe to extend and retract, and the probe driver is used for driving the probe to extend and retract;
the fixing device is used for fixing the information acquisition device.
3. The apparatus according to claim 2, wherein the meridian health status analyzer performs the following process analysis to obtain the frequency of the electrical signal, the voltage stability of the meridian, and the ratio of the electrical signal based on the bioelectrical signal information:
determining detection time T according to the detection starting time and the detection ending time;
determining the frequency of the meridian electric signals according to the voltage threshold value V _ base of the meridian electric signals, the total number N _ total of the collection points detected within the detection time T and the total number N of the collection points of which the detected voltage of the meridian electric signals is lower than the voltage threshold value V _ base:
Figure FDA0003319123320000021
determining the stability of the meridian voltage according to the pressure difference between the highest voltage and the lowest voltage of the meridian electric signal at the acquisition point within the detection time T;
determining the ratio of meridian signals according to the total number of the acquisition points detected in the detection time N _ total and the total number of the acquisition points detected in the meridian electrical signals N1:
Figure FDA0003319123320000022
4. the apparatus of claim 2, wherein the fixing means comprises:
the protective cover is used for providing an isolated information acquisition environment;
the protective cover fixing plate is used for fixing the protective cover and slidably connecting the probe fixing plate and the probe fixing plate, and the laser ranging sensor is arranged below the protective cover fixing plate;
the probe pressure sensor is arranged above the probe fixing plate, and the probe is fixed below the probe fixing plate;
the probe fixing plate is fixed below the probe fixing plate;
the temperature sensor is arranged on the side face of the bottom of the probe rod, grooves are formed in the two sides of the probe rod, and the probe fixing plate can drive the probe to move up and down in the probe rod along the grooves.
5. The apparatus according to claim 4, wherein the fixing means further comprises a probe fixing plate rail and a probe fixing plate rail, the probe fixing plate rail and the probe fixing plate rail are respectively fixed on the shield fixing plate, the probe fixing plate can move up and down along the probe fixing plate rail, and the probe fixing plate can move up and down along the probe fixing plate rail.
6. The apparatus according to claim 5, wherein the probe fixing plate and the probe fixing plate are connected to the protective cover fixing plate by a pulling rope.
7. The apparatus according to claim 6, wherein the information collecting means further comprises:
the probe pressure sensor is arranged on the probe fixing plate, and is used for collecting tension information of a traction rope between the probe fixing plate and the protective cover fixing plate when the probe extends out to collect a biological electric signal, and sending the tension information to the meridian health state analyzer to judge whether the extension of the probe reaches the limit so as to protect the device;
the probe laser ranging sensor is arranged below the probe fixing plate and used for acquiring distance information from the probe fixing plate to the human epidermis and sending the distance information to the meridian health state analyzer, if the acquired distance information from the probe fixing plate to the human epidermis is smaller than a set distance threshold value, an obstacle is judged to exist in the downward moving process, and the meridian health state analyzer controls the probe fixing plate to stop downward moving or to move upward;
the protective cover displacement sensor is arranged on the side face of the bottom of the protective cover and used for acquiring displacement information of the protective cover and sending the displacement information to the meridian health state analyzer to judge whether the contact between the protective cover and the human epidermis is stable or not, and when the displacement is zero, the contact is judged to be stable;
and the pressure sensor is arranged at the bottom of the protective cover and used for collecting the pressure between the protective cover and the skin of the human body and sending the pressure to the meridian health state analyzer to judge whether the protective cover is in contact with the skin of the human body.
8. The apparatus according to claim 1, wherein the meridian state at the current meridian position is analyzed by comparing the collected body surface temperature, pain degree, swelling degree, meridian voltage, and the analyzed frequency of appearance of the meridian electrical signal, the stability of the meridian voltage, and the ratio of the meridian signal with a threshold value of corresponding information at a normal meridian position, determining that the meridian state at a meridian position smaller than the threshold value of corresponding information at the normal meridian position is blocked, and determining that the meridian state at a meridian position equal to or larger than the threshold value of corresponding information at the normal meridian position is normal.
9. The apparatus according to claim 1, wherein the future meridian state at the meridian position is predicted by:
predicting the future meridian state by using a prediction model according to the collected human epidermis information and bioelectricity signal information, wherein meridian signal parameters comprise body surface temperature, pain degree, swelling degree, meridian voltage, frequency of appearance of meridian electric signals, meridian voltage stability and meridian signal proportion;
respectively calculating similarity and weight values of each meridian signal parameter of a human body and three meridian states by the following formulas, wherein the three meridian states comprise a good state, a common state and a bad state;
calculating the similarity and weight values of the single parameter with three meridian states at different acquisition points;
good state similarity and weight value calculation formula:
Sim-F-good-i=1-|F1i-Fgood|/(F1i+Fgood),
Figure FDA0003319123320000041
general state similarity and weight value calculation formula:
Sim-F-nomal-i=1-|F1i-Fnomal|/(F1i+Fnomal),
Figure FDA0003319123320000042
the bad state similarity and weight value calculation formula is as follows:
Sim-F-bad-i=1-|F1i-Fbad|/(F1i+Fbad),
Figure FDA0003319123320000051
wherein i is 1,2, …, n, n represents the number of collection points, F1iFor actually detected parameter values, F1For preset parameter values, FgoodIs a reference value in good condition, w-F-good-iFor good state weight values, Sim-F-good-iThe actual test value and the good state similarity of a single parameter at the position of the meridian are obtained; fnomalIs a reference value in a normal state, w-F-nomal- iRepresents the weight value in the normal state, Sim-F-nomal- iRepresenting the similarity of the actual test value and the general state of a single parameter at the position of the meridian; fbadIs a reference value in a bad state; w is a-F-bad-iThe weight value under the bad state; sim-F-bad-iRepresenting the actual test value and the bad state similarity of a single parameter at the position of the meridians;
calculating the similarity between the single parameter whole meridian signal and three meridian states;
the similarity calculation formula of the whole channels and collaterals and the good-state channels and collaterals is as follows:
Figure FDA0003319123320000052
the similarity calculation formula of the whole meridians and the general meridians:
Figure FDA0003319123320000053
the overall meridian and adverse state meridian similarity calculation formula:
Figure FDA0003319123320000054
and (3) collecting the similarity of the overall meridian signals of all the parameters and the three meridian states by using a maximum sorting algorithm, and calculating a value with the maximum similarity:
Figure FDA0003319123320000055
Figure FDA0003319123320000061
wherein the content of the first and second substances,
Figure FDA0003319123320000062
the similarity between the whole meridian signal representing the frequency of the meridian electrical signal and the good-state meridian,
Figure FDA0003319123320000063
the similarity between the whole meridian signal representing the frequency of the electrical signal of the meridian and the meridian in a general state,
Figure FDA0003319123320000064
similarity between the overall meridian signal representing the frequency of occurrence of the meridian electrical signal and the adverse meridians;
Figure FDA0003319123320000065
the similarity between the whole meridian signal representing the stability of the voltage of the meridians and the meridians in a good state,
Figure FDA0003319123320000066
integral meridian signal and aThe similarity of the meridians and collaterals is the general state,
Figure FDA0003319123320000067
similarity of whole meridian signals representing the stability of meridian voltage and bad meridians;
Figure FDA0003319123320000068
representing the similarity between the whole meridian signal and the good-state meridians,
Figure FDA0003319123320000069
the similarity between the overall meridian signal representing the proportion of the meridian signal and the normal state meridian,
Figure FDA00033191233200000610
representing the similarity between the overall meridian signal and the bad meridians;
Figure FDA00033191233200000611
representing the similarity between the overall meridian signal of the meridian voltage and the good-condition meridians,
Figure FDA00033191233200000612
representing the similarity between the overall meridian signal of the meridian voltage and the normal state of the meridian,
Figure FDA00033191233200000613
representing the similarity between the overall meridian signal of the meridian voltage and the adverse meridians;
Figure FDA00033191233200000614
representing the similarity between the whole meridian signals of the body surface temperature and the good-state meridians,
Figure FDA00033191233200000615
the similarity between the whole meridian signal representing the body surface temperature and the normal state meridians,
Figure FDA00033191233200000616
representing the similarity between the whole meridian signal of the body surface temperature and the adverse meridians;
Figure FDA00033191233200000617
the similarity between the overall meridian signal representing the degree of swelling and the good-condition meridians,
Figure FDA00033191233200000618
the similarity between the overall meridian signal representing the degree of swelling and the general meridians,
Figure FDA00033191233200000619
similarity between the overall meridian signal representing swelling degree and adverse meridians;
Figure FDA00033191233200000620
the similarity between the overall meridian signal representing the degree of pain and the good-condition meridians,
Figure FDA00033191233200000621
the similarity between the overall meridian signal representing the degree of pain and the general state of the meridians,
Figure FDA0003319123320000071
similarity of overall meridian signals representing pain degree and adverse meridians;
Smaxand representing the value with the maximum similarity, and determining the future overall meridian state according to the meridian state corresponding to the maximum similarity.
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