CN112951435A - Health risk screening equipment based on human body light wave resonance thermal tomography imaging holography - Google Patents
Health risk screening equipment based on human body light wave resonance thermal tomography imaging holography Download PDFInfo
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention discloses a health risk screening device based on human body light wave resonance thermal tomography holography, which comprises a device for light wave resonance thermal tomography holography, a network server and a distribution terminal, wherein the device for light wave resonance thermal tomography holography comprises a spectrum sensing unit, a data generating unit and a computer unit, the spectrum sensing unit is a light wave resonance thermal tomography holography sensor and is used for receiving light wave resonance thermal tomography holography imaging information corresponding to tissue cells of each organ; the data generation unit is used for receiving and processing the optical wave resonance thermal tomography holographic imaging information and generating a digital signal; the computer unit is used for receiving the digital signal of the data generation module; and the network server is used for processing and transmitting data between the computer unit and the release terminal.
Description
Technical Field
The invention belongs to the field of human body function medical health risk screening at the front end of a medical detection system, and particularly relates to health risk screening equipment based on human body light wave resonance thermal tomography holography.
Background
According to human physiology and pathology theory, before the human body is attacked, cellular metabolism abnormality occurs in tissues, then functional capacity is reduced, and finally organic lesions are generated, and the changes of the cellular tissues are changed from the molecular biology level of the cellular tissues. Scientists have demonstrated that: each cell of the human body vibrates at a specific frequency, the vibration frequency of each organ is between 1.8Hz and 8.2Hz, the vibration frequency changes when the cells are damaged, and the vibration frequency information of each organ cell is reflected by each organ tissue of the body. That is, the real-time health status of the corresponding tissue can be obtained by the variation of the vibration frequency of the tissue cells of the human organ.
In conclusion, how to realize the non-invasive, non-radiative, rapid, intelligent and accurate holographic early health risk screening and early warning of all human organ systems by carrying out light wave resonance thermal tomography imaging is a problem to be solved urgently.
Disclosure of Invention
In order to overcome a series of defects in the prior art, the invention aims to solve the problems and provide a health risk screening device based on human body light wave resonance thermal tomography holography, which comprises a device for light wave resonance thermal tomography holography, a network server and a distribution terminal, wherein the device for light wave resonance thermal tomography holography comprises a spectrum sensing unit, a data generating unit and a computer unit,
the spectrum sensing unit is a light wave resonance thermal tomography holographic sensor, and a photosensitive sensor is arranged in the light wave resonance thermal tomography holographic sensor and is used for receiving light wave resonance thermal tomography holographic imaging information corresponding to each organ tissue cell;
the data generation unit is used for receiving and processing the optical wave resonance thermal tomography holographic imaging information and generating a digital signal;
the computer unit is used for receiving the digital signal of the data generation module;
and the network server is used for processing and transmitting data between the computer unit and the release terminal.
Preferably, the equipment circuit board of the spectrum sensing unit is provided with a special data acquisition circuit, an analog-to-digital conversion chip and an interface conversion chip, wherein the data acquisition circuit is formed by sequentially connecting a detection circuit, an amplifier and a filter circuit; the detection circuit is connected with the light wave resonance thermal tomography holographic sensor and is used for collecting thermal tomography holographic signals; the amplifier and the filter circuit are used for amplifying and denoising the acquired signals; the filter circuit is connected with the analog-to-digital conversion chip and the interface conversion chip in sequence, so that the amplified and noise-reduced signal is converted into a digital signal and then transmitted to the computer unit through the communication interface.
Preferably, the equipment for optical wave resonance thermal tomography holography compares the detected data with server data through analysis and evaluation software of a network cloud computing server, and obtains the real-time health condition of the tissue and the organ through the computation of the network cloud computing server.
Preferably, the device for optical wave resonance thermal tomography holography is part of a data acquisition module, and the data acquisition module further comprises an environmental sensor, a measurement unit and a data input unit.
Preferably, the measuring unit includes: the height measuring unit is an ultrasonic height measuring instrument and is arranged above the instrument; the weight measuring unit and the body fat measuring unit are arranged together at the place where the pedals are arranged.
Preferably, the equipment for optical wave resonance thermal tomography holography is connected with the network server in a wired or wireless mode, the analysis result is uploaded to the network server, and the network server sends the analysis result to the release terminal after big data processing.
Preferably, the server data for comparison is a continuously updated data, and is generated by continuously adjusting the feature weight through machine learning.
Preferably, the equipment for optical wave resonance thermal tomography holography processes the detected data through analysis and evaluation software of a network cloud computing server, and then obtains the abnormal lesion point of the tissue and organ through algorithm calculation of the network cloud computing server.
Preferably, the release terminal comprises a personal user mobile phone APP and a big data platform of a cooperative unit, and the sending content comprises a light wave resonance thermal tomography holographic health risk screening evaluation result and an intervention guiding scheme.
Preferably, the guidance and intervention scheme comprises a sports prescription, a nutritional diet prescription, a physical rehabilitation guidance scheme, a traditional Chinese medicine health maintenance guidance suggestion, a living habit conditioning guidance suggestion, a psychological adjustment and relief scheme, a graded diagnosis and treatment medical instruction and a chronic disease rehabilitation medical instruction.
Compared with the prior art, the invention has the following beneficial effects:
1) the invention provides a health risk screening device based on human body light wave resonance thermal tomography holography, which receives the resonance wave thermal tomography imaging data of tissue cells corresponding to an organism through a spectrum sensor, processes the data information to generate a holographic digital signal, and performs calculation analysis on the signal to obtain the functional capability, sub-health state and disease risk trend evaluation results of the organism cells, tissues and organs;
2) the invention provides a health risk screening device based on human body light wave resonance thermal tomography holography, which can realize human body light wave resonance thermal tomography holography early health risk early warning from the aspects of human body cell metabolism abnormity and tissue organ function capability reduction;
3) the invention provides a health risk screening device based on human body light wave resonance thermal tomography holography, which performs human body light wave resonance thermal tomography holography early health risk early warning on each organ system of a human body in a non-invasive, non-destructive, non-radiative, rapid, intelligent and accurate all-around manner;
4) the invention provides a health risk screening device based on human body light wave resonance thermal tomography holography, which can inquire health screening conditions through a mobile phone APP and can acquire a health intervention guidance scheme with a big data platform having positive alignment, and the health risk screening device comprises: the exercise prescription, the nutritional diet prescription, the physical rehabilitation guidance scheme, the traditional Chinese medicine health preservation guidance suggestion, the living habit conditioning guidance suggestion, the psychological adjustment and relief scheme, the grading diagnosis and treatment medical guidance and the chronic disease rehabilitation medical guidance.
Drawings
FIG. 1 is a flow chart of the detection of the present invention.
Fig. 2 is a diagram showing the detection results.
Fig. 3 is a diagram showing the detection result of the lesion position.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below with reference to the accompanying drawings in the embodiments of the present invention. The described embodiments are only some, but not all embodiments of the invention.
All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention is described in detail below.
A health risk screening device based on human body light wave resonance thermal tomography holography comprises a device for light wave resonance thermal tomography holography, a network server and a distribution terminal, wherein the device for light wave resonance thermal tomography holography comprises a spectrum sensing unit, a data generation unit and a computer unit.
The device for optical wave resonance thermal tomography holography is part of a data acquisition module.
The spectrum sensing unit is a light wave resonance thermal tomography holographic sensor, and a photosensitive sensor is arranged in the light wave resonance thermal tomography holographic sensor and is used for receiving light wave resonance thermal tomography holographic imaging information corresponding to each organ tissue cell;
the data generation unit is used for receiving and processing the optical wave resonance thermal tomography holographic imaging information and generating a digital signal;
the computer unit is used for receiving the digital signal of the data generation module;
and the network server is used for processing and transmitting data between the computer unit and the release terminal.
Preferably, the equipment circuit board of the spectrum sensing unit is provided with a special data acquisition circuit, an analog-to-digital conversion chip and an interface conversion chip, wherein the data acquisition circuit is formed by sequentially connecting a detection circuit, an amplifier and a filter circuit; the detection circuit is connected with the light wave resonance thermal tomography holographic sensor and is used for collecting thermal tomography holographic signals; the amplifier and the filter circuit are used for amplifying and denoising the acquired signals; the filter circuit is connected with the analog-to-digital conversion chip and the interface conversion chip in sequence, so that the amplified and noise-reduced signal is converted into a digital signal and then transmitted to the computer unit through the communication interface.
Preferably, the equipment for optical wave resonance thermal tomography holography compares the detected data with server data through analysis and evaluation software of a network cloud computing server, and obtains the real-time health condition of the tissue and the organ through the computation of the network cloud computing server.
Preferably, the equipment for optical wave resonance thermal tomography holography is connected with the network server in a wired or wireless mode, the analysis result is uploaded to the network server, and the network server sends the analysis result to the release terminal after big data processing.
Preferably, the release terminal comprises a personal user mobile phone APP and a big data platform of a cooperative unit, and the sending content comprises a light wave resonance thermal tomography holographic health risk screening evaluation result and an intervention guiding scheme.
Preferably, the guidance and intervention scheme comprises a sports prescription, a nutritional diet prescription, a physical rehabilitation guidance scheme, a traditional Chinese medicine health maintenance guidance suggestion, a living habit conditioning guidance suggestion, a psychological adjustment and relief scheme, a graded diagnosis and treatment medical instruction and a chronic disease rehabilitation medical instruction.
The data acquisition module also comprises an environmental sensor, a measurement unit and a data input unit.
The environment sensor comprises an air particle sensor, a temperature sensor, a humidity sensor, an illumination intensity sensor, an environment noise sensor and a gas concentration sensor.
The measuring unit includes: height measuring unit, weight measuring unit, body fat measuring unit.
The data input unit includes: age, gender data, medical history, physical status input.
Also included is a memory adapted to store software, set parameters, and store data. The memory may include one or more Random Access Memory (RAM) elements and one or more Read Only Memory (ROM) elements.
There is also a processor (CPU) in communication between the elements, the processor being adapted to execute software, reference settings and data stored in the memory, and to interoperate with the elements to perform various features and functions supported by the portable monitor.
The data generation unit is used for receiving and processing the optical wave resonance thermal tomography holographic imaging information and generating a digital signal.
And the computer unit is used for receiving the digital signal of the data generation module.
And the network server is used for processing and transmitting data between the computer unit and the release terminal. A big data platform is arranged in the network server and is divided into an application interaction layer, a data acquisition exchange layer, a data storage layer, a data analysis layer, an infrastructure layer and a safety operation and maintenance layer. The platform utilizes technologies such as big data analysis and storage, and the like, and comprises distributed storage, data mining and the like.
The equipment for the light wave resonance thermal tomography holography is connected with the network server in a wired or wireless mode, the analysis result of the equipment is uploaded to the network server, and the network server sends the analysis result to the release terminal after big data processing.
The issuing terminal comprises a personal user mobile phone APP and a big data platform of a cooperative unit, and the sending content comprises a light wave resonance thermal tomography holographic health risk screening evaluation result and an intervention guiding scheme.
The guiding and intervening scheme comprises a sports prescription, a nutritional diet prescription, a physical rehabilitation guiding scheme, a traditional Chinese medicine health preserving guiding proposal, a living habit conditioning guiding proposal, a psychological adjusting and relieving scheme, a graded diagnosis and treatment medical instruction and a chronic disease rehabilitation medical instruction.
Inherent holographic information in a computer database, wherein the holographic information comprises imaging data of all sampling areas, a computer can perform area boundary identification and area division on the imaging data of all sampling areas through an artificial intelligence algorithm, the imaging data of the sampling areas are divided into health unit area imaging data, the health unit area data, the computer system reconstructs a human body image through the holographic information and the health unit area imaging data and stores the information, individual information and global data are stored in a storage system, the global data perform statistical processing on all individual data to remove abnormal values through a data processing system to obtain weighted data, the individual information is compared with the global information to obtain health evaluation values, the individual data are subjected to change comparison with individual historical data and are evaluated according to the global weighted values, and obtaining a health evaluation result.
The health condition is judged by holographic information comparison: the statistical database comprises weighted statistical data according to various groups, holographic information data of various diseases and normal holographic information data of various parts of a body.
After the individual is inspected, the individual data and the file data are compared, and the abnormal data are compared and analyzed according to different positions.
After the health risk screening equipment is started, executing examination to generate holographic information data, meanwhile, recording the data in an equipment computer by combining input parameters of a measured human body input before the examination is started, simultaneously transmitting the data to a cloud storage server, calling historical data of the measured human body by the cloud storage server through feature codes of the measured human body, wherein the historical data comprises generation time, human body feature parameters and holographic information data, and obtaining health change conditions through comparison of the data and the historical data.
Holographic information data in a cloud storage server is processed through big data to obtain abstract data, the abstract data comprise holographic information data basic values of all parts and organs, the abstract data are updated continuously along with time, basic values are generated once every year, the basic values correspond to age, sex and the like, detected individuals are correspondingly compared with the abstract data through age, sex, body fat, height, weight ratio and temperature and humidity data in the environment, health conditions are displayed through an algorithm according to results of twice comparison of the abstract data and historical data, the health conditions are displayed on a terminal through a display method, the health conditions are input into a database, and corresponding health recovery opinions are obtained through data analysis.
After the health risk screening equipment is started, a detected human body stands at a detection position in the equipment, is connected with the illumination intensity sensor, calls and records data of the illumination intensity sensor, compares the data with a data range stored in a computer, and if the data range is exceeded, continues to start screening after the health risk screening equipment is recovered to be normal.
Because the holographic information measurement of the light wave resonance thermal tomography of the human body needs the help of the spectrum equipment, the abnormality of the background illumination intensity can influence the spectrum equipment, so the equipment with abnormal parameters can not work, and the equipment can be operated after adjustment.
And connecting the air particle sensor, calling and recording air particle data of the air particle sensor, comparing the air particle data with a data range stored in the computer, and sending equipment prompt information if the air particle data exceeds the data range.
The air particles can stimulate the respiratory tract of human body to cause discomfort, and can penetrate deep into the respiratory tract to reach the lung to stimulate the lung, cough, sneeze, nasal discharge and shortness of breath. Concurrent exposure to PM2.5 also affects lung function and worsens medical conditions such as asthma and heart disease.
Therefore, the air particles in the environment need to be monitored, and abnormal human body reactions caused by abnormal changes of the air particles in the detection space are avoided, and the abnormal reactions have abnormal influence on the holographic information of the optical wave resonance thermal tomography of the human body during detection. May result in a distortion of health risk screening results.
And connecting the environmental noise sensor, calling and recording environmental noise sensor data of the environmental noise sensor, comparing the environmental noise sensor data with a data range stored in the computer, and sending equipment prompt information if the environmental noise sensor data exceeds the data range. The environment noise affects the human body condition and further affects the light wave resonance thermal tomography holographic information of the human body. It should be guaranteed to be below the threshold.
And connecting the gas concentration sensor, calling and recording gas concentration data of the gas concentration sensor, comparing the gas concentration data with a data range stored in the computer, and sending equipment prompt information if the gas concentration data exceeds the data range. The gas concentration is mainly carbon dioxide gas affecting the state of the human body and toxic gas of carbon monoxide harmful to the human body. Too high a concentration of carbon dioxide affects the respiration of the human body. The above values should be guaranteed to lie below the threshold.
And connecting the temperature sensor, calling and recording temperature data of the temperature sensor, comparing the temperature data with a data range stored in the computer, and sending equipment prompt information if the temperature data exceeds the data range.
And connecting the humidity sensor, calling and recording humidity data of the humidity sensor, comparing the humidity data with a data range stored in the computer, and sending equipment prompt information if the humidity data exceeds the data range.
The temperature and the humidity are related to the state of the human body, and the optimum temperature of the human body is 26-28 ℃. The most suitable humidity is 45% -65%.
If the temperature exceeds 35 ℃, sweat glands of the human body begin to disperse and accumulate body temperature through sweat secretion, and simultaneously, the heartbeat is accelerated, the blood circulation is accelerated, and the dizziness, the discomfort of the whole body and the fatigue can be felt if the temperature is increased. On the contrary, when the temperature is lower than 4 ℃, cold is felt. When the room temperature is 8-18 ℃, the human body can radiate heat to the outside, and the indoor breeze blows to circulate, the indoor relative humidity is 40-60%, and the human body can feel comfortable and healthy. The influence of humidity on human body is not obvious in the indoor comfortable temperature range. However, when the relative humidity reaches 90% at 28 ℃, the temperature reaches 34 ℃. This is because when the humidity is high, the water vapor content in the air is high, the evaporation amount is small, a large amount of sweat excreted by the human body is difficult to evaporate, and the heat in the body cannot be dissipated smoothly, so that the body feels stuffy.
The temperature and humidity parameters are set within a high-low range, so that the equipment work is not influenced, but the numerical value is required to be input into a database as a parameter, and the light wave resonance thermal tomography holography is adjusted to a standard value according to information and temperature and humidity.
After the holographic information of the light wave resonance thermal tomography is collected, the information is stored in a database together with the environmental parameters of temperature and humidity.
Also stored concurrently with the database only are: age data, height data, body fat data.
The height data is measured by a height measuring unit, and the height measuring unit is an ultrasonic height measuring instrument and is arranged above the instrument.
The ultrasonic transmitter sends out sound waves, and then the sound waves are reflected back after touching the top of the head and finally received by the receiver.
The ultrasonic height detector measures the time spent in the process, so that the distance between the reflecting point and the transmitting point is calculated, and the height is obtained by combining the actual distance between the transmitting point and the standing platform.
The body fat weight data are measured by a body fat measuring unit and a body weight measuring unit respectively.
The weight measuring unit applies pressure to the sensor, the sensor is elastically deformed, so that impedance is changed, and the exciting voltage is used for changing, so that a changed analog signal is output. The signal is amplified by the amplifying circuit and output to the analog-to-digital converter. And the digital signals are converted into digital signals which are convenient to process and are output to a control computer.
The body fat measuring unit mostly adopts the principle of bioelectrical impedance, the body fat measuring unit is provided with electrode nodes at the two feet below the human body, the nodes are connected with the impedance measuring unit, and impedance data obtained by the measurement of the impedance measuring unit is transmitted to the control computer.
Because the human body has sixty percent moisture, that is, the human body is a conductor. When current is applied to the body, the muscle is conductive and the fat is non-conductive, creating an impedance. According to the generated impedance, the moisture of the human body can be calculated. Then the fat-free weight can be obtained according to the relation between the moisture of the human body and the fat-free weight, and then the fat mass and the fat rate are calculated.
The age and sex data are input into the computer by collection.
After the holographic information of the optical wave resonance thermal tomography is collected, the information is stored in a database together with environmental parameters of temperature and humidity, age, sex, height-weight ratio and body fat data, and the age, sex, body fat, height-weight ratio and temperature and humidity data in the environment are key influence data of the holographic information of the optical wave resonance thermal tomography.
Preliminary studies show that the activity of human cells is gradually reduced along with the growth stage, so that the holographic data value of the human light wave resonance thermal tomography is gradually reduced along with the age. The activity of human cells gradually decreases along with the growth stage, and the statistical result is as follows: if the human body is 100% in the age of 0-2, 99.18-99.47% in the age of 3-10, 98.63-98.68% in the age of 11-65 and 98.35-98.42 in the age above 65. The age influences the holographic data value of the light wave resonance thermal tomography of the human body, and is an important influence parameter for large data analysis.
Meanwhile, due to sex differences, the activity of human body cells also differs, specifically, the activity of female cells is higher than that of male cells, and the difference range is about 0.8% -3% through partial data statistics, so the sex also influences the holographic data value of the light wave resonance thermal tomography of the human body, and the sex is one of important influence parameters of big data analysis.
Diseases affect the activity of human body cells of related organs, which is the basis of the health monitoring of the invention, so the effects of various diseases are also important influence parameters for big data analysis.
Adult women also have the characteristics of a monthly rhythm, and the activity level of human body cells of the adult women fluctuates along with the physiological cycle and is also an important influence parameter for large data analysis.
The body fat parameter reflects the distribution proportion of water, fat and the like in a body, and the fat and the water can not generate cell activity, so the increase of the proportion can be used for observing the cell activity of normal human cells, and the method belongs to one of important influence parameters of big data analysis. For the above reasons, the height to weight ratio is also included as one of the influencing factors.
The parameters are processed by big data and learned by a machine, so that the activity of basic cells of the human body under different parameters can be determined.
Light wave resonance thermal tomography holographic information comprises various nodes of a body, such as: face, posterior brain, hand, forearm, upper arm, lower limb, midriff, umbilical region, bladder region, ovarian region, left and right mammary gland regions, stomach, axillary lymph region, hepatic region, retrocardiac region, back, left and right kidney regions, etc.
For a single individual, the base value reference ratio (weighted average of a certain sample) corresponding to each of the above-mentioned parts is approximately:
| woman | For male | |
| Face part | 0.89 | 0.86 |
| Hindbrain | 0.76 | 0.79 |
| Hand part | 0.78 | 0.74 |
| Front arm | 0.81 | 0.79 |
| Upper arm | 0.83 | 0.81 |
| Lower limbs | 0.82 | 0.81 |
| Umbilicus region | 0.84 | 0.81 |
| Bladder zone | 0.80 | 0.78 |
| Egg nest area | 0.82 | 0.00 |
| Left and right mammary gland regions | 0.83 | 0.81 |
| Stomach (stomach) | 0.84 | 0.82 |
| Axillary lymphatic region | 0.88 | 0.86 |
| Anterior hepatic region | 0.84 | 0.82 |
| Region of posterior cardiac | 0.84 | 0.82 |
| The left and right kidney regions of the back | 0.84 | 0.81 |
The above ratios, which vary from individual to individual, should therefore be within a range for a large number of samples.
The lesion point judgment algorithm is as follows:
the purpose of the lesion detection algorithm is to identify and separate lesion point information from the holographic planar image.
The method adopts a local pathological condition detection algorithm, the pathological condition detection algorithm assumes that a data space obeys Gaussian distribution, and judges whether the information is abnormal (pathological condition) or not by analyzing the statistics (mean and variance) of the change between adjacent points on the holographic plane image and comparing the statistics with a set threshold value on the basis.
Assuming that the holographic planar image data is P, a statistic (hereinafter, referred to as data point) including a change between adjacent points on N holographic planar images can be represented as a P × M matrix Xb = [ x1, x2, …, xM ], where Xi = [ x1i, x2i, …, xpi ] T, which represents each data point, and assuming that H0 is target-absent and H1 is target-present:
in the above formula, x is the vector of the data to be detected, n represents the background vector, and s is the target data vector. The expression for the RX algorithm is:
where r is the data point to be detected,
is the average of the background data and is,
is a background data covariance matrix and lambda is a decision threshold. It can be seen that the RX operator actually calculates the distance between the data point to be detected and the background data mean vector.
Characteristic data extraction: after the characteristic data is extracted, the basic value of the individual is determined through statistics according to characteristic classification, and the basic value is used for determining the holographic basic information of the optical wave resonance thermal tomography of the detected individual through a machine learning mode, wherein the basic information comprises the basic value of the whole information and the basic value of the important organ part. Namely, the basic value judgment and the basic value judgment of the important organ part are carried out on the individual by combining the characteristic parameters of the individual through the machine learning result.
The machine learning of the feature importance is mainly realized by the following algorithm:
the global importance of feature j is measured by the average of the importance of feature j in a single tree:
The image restoration display mode is as follows:
the scan data is processed and stored as a pattern matrix, and the pattern matrix is subjected to data processing, and as shown in fig. 2, the processed matrix is restored to an image based on a basic value. And marking and displaying the lesion position calculated by the lesion point judgment algorithm in the image.
Meanwhile, partial data in the matrix can be mapped into a built three-dimensional image simulation model according to corresponding human organs or parts through boundary differentiation, and lesion positions calculated through the lesion point judgment algorithm are marked and displayed in the three-dimensional image simulation model as shown in fig. 3.
The issuing terminal comprises a personal user mobile phone APP and a big data platform of a cooperative unit, and the sending content comprises a light wave resonance thermal tomography holographic health risk screening evaluation result and an intervention guiding scheme.
The guiding and intervening scheme comprises a sports prescription, a nutritional diet prescription, a physical rehabilitation guiding scheme, a traditional Chinese medicine health-preserving guiding proposal, a living habit conditioning guiding proposal, a psychological adjusting and relieving scheme, a graded diagnosis and treatment medical instruction and a chronic disease rehabilitation medical instruction, wherein each guiding scheme is stored aiming at different diseases or body states, and when the corresponding disease or body state is obtained through analysis, the scheme is called and sent to a display end together with an evaluation result.
Finally, it should be pointed out that: the above examples are only for illustrating the technical solutions of the present invention, and are not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A health risk screening device based on human body light wave resonance thermal tomography holography comprises a device for light wave resonance thermal tomography holography, a network server and a distribution terminal, wherein the device for light wave resonance thermal tomography holography comprises a spectrum sensing unit, a data generation unit and a computer unit,
the spectrum sensing unit is a light wave resonance thermal tomography holographic sensor, and a photosensitive sensor is arranged in the light wave resonance thermal tomography holographic sensor and is used for receiving light wave resonance thermal tomography holographic imaging information corresponding to each organ tissue cell;
the data generation unit is used for receiving and processing the optical wave resonance thermal tomography holographic imaging information and generating a digital signal;
the computer unit is used for receiving the digital signal of the data generation module;
and the network server is used for processing and transmitting data between the computer unit and the release terminal.
2. The health risk screening device based on human body light wave resonance thermal tomography holography as claimed in claim 1, wherein the device circuit board of the spectrum sensing unit is provided with a dedicated data acquisition circuit, an analog-to-digital conversion chip and an interface conversion chip, and the data acquisition circuit is formed by connecting a detection circuit, an amplifier and a filter circuit in sequence; the detection circuit is connected with the light wave resonance thermal tomography holographic sensor and is used for collecting thermal tomography holographic signals; the amplifier and the filter circuit are used for amplifying and denoising the acquired signals; the filter circuit is connected with the analog-to-digital conversion chip and the interface conversion chip in sequence, so that the amplified and noise-reduced signal is converted into a digital signal and then transmitted to the computer unit through the communication interface.
3. The health risk screening device based on human light wave resonance thermal tomography holography as claimed in claim 1, wherein the device for light wave resonance thermal tomography holography compares the detected data with server data through analysis and evaluation software of a network cloud computing server, and obtains real-time health condition of the tissue and organ through computation of the network cloud computing server.
4. The health risk screening device based on human light wave resonance thermal tomography holography as claimed in claim 1, wherein the device for light wave resonance thermal tomography holography is part of a data acquisition module, the data acquisition module further comprises an environmental sensor, a measurement unit and a data input unit.
5. The holographic health risk screening apparatus based on human light wave resonance thermal tomography according to claim 4, wherein the measuring unit comprises: the height measuring unit is an ultrasonic height measuring instrument and is arranged above the instrument; the weight measuring unit and the body fat measuring unit are arranged together at the place where the pedals are arranged.
6. The health risk screening device based on human body light wave resonance thermal tomography holography as claimed in claim 1, wherein the device for light wave resonance thermal tomography holography is connected with the network server in a wired or wireless mode, the analysis result is uploaded to the network server, and the network server sends the analysis result to the issuing terminal after big data processing.
7. The holographic health risk screening apparatus based on human light wave resonance thermal tomography according to claim 3, wherein the server data for comparison is a continuously updated data generated by continuously adjusting feature weights through machine learning.
8. The health risk screening device based on human body light wave resonance thermal tomography holography as claimed in claim 1, wherein the device for light wave resonance thermal tomography holography processes the detected data through analysis and evaluation software of a network cloud computing server, and obtains abnormal lesion points of the tissue and the organ through algorithm calculation of the network cloud computing server.
9. The holographic health risk screening equipment based on human light wave resonance thermal tomography imaging of claim 1, wherein the issuing terminal comprises a personal user mobile phone APP and a big data platform of a cooperative unit, and the sending content comprises the holographic health risk screening evaluation result of light wave resonance thermal tomography imaging and a guiding intervention scheme.
10. The holographic health risk screening apparatus based on human light wave resonance thermal tomography imaging of claim 9, wherein the guiding intervention scheme comprises exercise prescription, nutrition diet prescription, physical rehabilitation guiding scheme, Chinese medicine health preserving guiding suggestion, living habit conditioning guiding suggestion, psychological adaptation relief scheme, grading diagnosis and treatment medical instruction, and chronic disease rehabilitation medical instruction.
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