CN109727667A - Metabolism state evaluation system based on the analysis of postprandial deep body temperature time frame coefficient - Google Patents
Metabolism state evaluation system based on the analysis of postprandial deep body temperature time frame coefficient Download PDFInfo
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Abstract
The invention discloses a kind of metabolism state evaluation systems based on the analysis of postprandial deep body temperature time frame coefficient, including detection terminal and data receiver and processing unit；Detection terminal is used for and data acquire and establish communication link with processing unit, while the deep body temperature and body surface temperature data that will test are sent to data acquisition and procession unit；Data receiver and processing unit, for receiving the deep body temperature and body surface temperature data that detection terminal obtains, it carries out data storage and the time frame coefficient of postprandial deep body temperature is analyzed, then parameter extraction is being carried out, it is compared after parameter extraction with normal value, first determines whether the drift condition of single parameter；Further according to the statistics and analysis model of deep body temperature variability, it was therefore concluded that.The system can change the Non-invasive detection realized to organism metabolism state by the deep body temperature after monitoring human body feed, diagnose for health evaluating and metabolic disease, new detection method is provided for human health.
Description
Technical field
The present invention relates to intelligence wearing and health detection fields, and in particular to is become to a kind of based on the postprandial deep body temperature time
The metabolism state evaluation system of specific analysis.
Background technique
With the progress of society and the improvement of people's living standards, with diseases such as obesity, diabetes, cardiovascular disease and tumours
Disease is that the Chronic Non-Communicable Diseases of representative becomes the number one killer for threatening human health.Wherein metabolic disorder is most of chronic
The main feature of non-communicable diseases.The typical performance of these metabolic disorders includes hyperglycemia, hyperlipidemia, high lithemia and hypoglycemia
Deng.In addition to Chronic Non-Communicable Diseases, aging is also accompanied by metabolic disorder state.Largely research shows that the change of metabolism state
It is not only to cause the pathogenesis of many Chronic Non-Communicable Diseases, and these diseases can be prevented and treated by improving organism metabolism state
The occurrence and development of disease.Therefore, the metabolism state for evaluating body diagnoses with important general level of the health assessment and metabolic disease
Meaning.
Paying close attention to most metabolic disorders in the past is abnormal carbohydrate metabolism, main, insulin resistance related with insulin resistance
It is a kind of impaired glucose metabolism caused by being reduced due to insulin effect.Insulin resistance be include diabetes B, obesity,
The common pathologic basis of other many Chronic Non-Communicable Diseases including coronary heart disease and hypertension.It is clinically resistance to often through sugar
Test or fasting blood-glucose are measured to detect the glucose metabolism state of body.It is this detection body metabolism state method exist with
Lower Railway Project: whether the glucose metabolism for being concerned only with body is abnormal, cannot reflect the synthesis metabolism state of body；Existing means
More attention is a kind of static metabolic regulation ability of the body under metabolic stability state, and shortage evaluates machine in a dynamic condition
The means of body metabolism state；The metabolism of body is related to including multiple links such as digesting and assimilating, transporting and digest, and has means simultaneously
It cannot reflect the overall picture of metabolism state.Therefore, a kind of technology for capableing of combined reaction organism metabolism state is researched and developed to comment health
Valence and metabolic disease diagnosis are of great significance.
The body temperature of human body maintains a metastable level, is mainly influenced by heat production and heat dissipation.Heat production is main
In oxidation process of the mitochondria to metabolism substrate, and radiate mainly through physiology courses tune such as skin circulation and sweatings
Control.Internal organ are mainly derived from the heat production of rest state lower body, and the heat production of body is mainly derived from muscle in motion process.
People find that feed is accompanied by the raising of body temperature very early.There is two o'clock in the reason of feed causes body temperature to increase: first is that food
Special kinetic effect, it is related with the digestion and absorption of food；The other is human body metaboilic level of body after feed will increase.
Therefore, the change concentrated expression of body temperature is absorbed into the whole process of metabolic regulation from food digestion after feed.After feed
The variability of body temperature is possible to the metabolism state of evaluation body.
Under normal circumstances, for human body after taking in a certain amount of food, deep body temperature can pass through one for our research discovery
A of short duration rising is then returned to normal level.Under fat or diabetic conditions, the time frame coefficient meeting of deep body temperature
It changes, shows as the raised amplitude reduction of deep body temperature and time-histories extends.Therefore, by detection human body in a certain amount of food
The deep body temperature time frame coefficient of body can be used to evaluate the metabolism state of body after intake.
Summary of the invention
The purpose of the present invention is establish a set of metabolism state based on the analysis of postprandial human body deep body temperature time frame coefficient to comment
Valence system, the system can change the noninvasive inspection realized to organism metabolism state by the deep body temperature after monitoring human body feed
It surveys, is diagnosed for health evaluating and metabolic disease.
Invention uses following technical scheme and reaches foregoing invention purpose:
It is connect based on the metabolism state evaluation system of postprandial deep body temperature time frame coefficient analysis, including detection terminal and data
Receipts and processing unit；
The detection terminal is a mounted wearable device of chest, is used for and data acquisition is communicated with processing unit foundation
Link, while the deep body temperature and body surface temperature data that will test are sent to data acquisition and procession unit；
The data receiver and processing unit, the deep body temperature and body surface temperature number obtained for receiving detection terminal
According to data storage being carried out, and carry out analysis and parameter extraction to the time frame coefficient of postprandial deep body temperature, after parameter extraction and just
Constant value is compared, according to postprandial deep body temperature time frame coefficient evaluation model, it was therefore concluded that.
As a further improvement of that present invention, the detection terminal includes the master control borad MCU being arranged on flexible material, supplies
Electric module, clock control module, communication module, deep body temperature sensor and skin temperature sensors；Clock control module, power supply
Module, communication module, deep body temperature sensor and skin temperature sensors with master control borad MCU is two-way is electrically connected；
The power supply module, for detecting the power supply of terminal；
The communication module, for the both-way communication between data acquisition and procession unit；
The deep body temperature sensor, for detecting the deep body temperature of body；
The clock control module, for providing temporal information；
The skin temperature sensors, for detecting shell temperature and correction deep body temperature sensing data；
The master control borad MCU for sending sensor detection instruction, and starts to read clock control module, deep body
The detection data of temperature sensor and skin temperature sensors, carries out preliminary treatment, and master control borad MCU processing result passes through communication module
It is sent to data acquisition and procession unit.
As a further improvement of that present invention, the detection terminal further includes display screen, key, Jlink interface, and master control
Plate MCU distinguishes two-way be electrically connected with display screen, key and Jlink interface；
The display screen is used for display reminding information and deep body temperature data；
The key is operated for user's beginning and end；
The Jlink interface is used for equipment debugging and data communication；And the partial results for handling master control borad MCU are sent
To display screen.
As a further improvement of that present invention, the master control borad MCU is also used to according to pre-set parameter value model
It encloses, judges the validity of data；
If data invalid, data are resurveyed, the invalid rear notice backstage of acquisition is repeated several times and are shown to detection terminal
Display screen and data acquisition and procession unit is sent a message to by communication module；If effectively, by collected data into
Row is handled in next step.
As a further improvement of that present invention, the Back end data that the data receiver and processing unit are responsible for whole system is led to
Letter acquisition, data storage, service application and analysis model algorithm, including data acquisition module, business application module, communication service
Device, data memory module, data analysis module, database server, file server, distributed file system, conclusion verifying
With release module and application server；The communication server is sequentially connected electrically data acquisition module and business application module, institute
It states database server and file server is sequentially connected electrically data memory module and data analysis module, the application server
Be sequentially connected electrically distributed file system and conclusion verifying and release module, the data acquisition module, data memory module and
Distributed file system successively two-way electrical connection；
The communication server is used for and detects terminal and communicated；The data acquisition module is used for and detection
Terminal connection obtains deep body temperature and body surface temperature data；The business application module for receiving Monitoring instruction, and transmits
Data；
The database server, the acquisition data for will test terminal transmission save in real time, and carry out at data
Reason；The data memory module is used to will test the deep body temperature of terminal transmission and body surface temperature data are saved in real time；
The data analysis module analyzes the time frame coefficient of postprandial deep body temperature, and extracting parameter, after parameter extraction and
Normal value is compared, according to postprandial deep body temperature time frame coefficient evaluation model, it was therefore concluded that；The file server,
Attachment files needed for the server of library for storing data；
The application server generates datagram according to data analysis result for connecting by agreement with client
It accuses；The distributed file system, for being stored in data in distributed file system in the form of Metric packet；It is described
Conclusion verifying and release module, for generating data report and being transmitted.
As a further improvement of that present invention, the data that the detection terminal reports are stored in the form of Metric packet answers
With in the distributed file system of server, the data analysis module of database server parses Metric data packet,
Data after parsing are stored in the database storage module of database server.
As a further improvement of that present invention, the deep body temperature sensor is from feed first 10 minutes to deep after feed
10 minutes after temperature recovery to normal level.
As a further improvement of that present invention, the data analysis module, for going out when a deep body temperature change unit
After now, which is handled, treatment process includes: including denoising, smooth and parameter extraction, the parameter to be extracted
Basal body temperature Tb, body temperature rise interval time Ts, time Tr90 required for body temperature rises slope over 10 Lr, rises 90%, decline
Time Td90, ascensional range Δ F, highest body temperature Tm, halfwidth FWHM and body temperature liter required for slope over 10 Ld, decline 90%
High duration T l, highest body temperature Tm=Tb+ Δ F；
As a further improvement of that present invention, the data analysis module is also used to parameter each after parameter extraction and its
Normal value section is compared:
It first determines whether the validity of Tb and Tm, if Tb or Tm value is abnormal, shows that detection data is insincere；Conversely, judgement
The offset that each parameter is intended to metabolic disorder characterization is defined as negative offset, if individual occurs by the drift condition of remaining parameter
It number>=2 of negative bias shifting parameter and<4 draws a conclusion as " slight metabolic disorder ", if the number of negative bias shifting parameter occurs in individual
>=4 and<6 draw a conclusion as " medium metabolic disorder ", if it is " weight that number>=6 that negative bias shifting parameter occurs in individual, which are drawn a conclusion,
Spend metabolic disorder ".
As a further improvement of that present invention, the data analysis module sends data to application service after drawing a conclusion
The data report of device is deposited findings data by data memory module for generating individual metabolism state assessment and report
Storage and publication, also while updating the statistics of deep body temperature variability and the data of analysis model.
Compared with prior art, invention has the advantages that
The deep body temperature and body surface temperature data that detection terminal of the invention will test are sent to data acquisition and procession
The deep body temperature and body surface temperature data that unit, data receiver and processing unit reception detection terminal obtain, progress data storage,
And the time frame coefficient of postprandial deep body temperature is analyzed, then carrying out parameter extraction, after parameter extraction and normal value into
Row compares, and first determines whether the drift condition of single parameter；Further according to the statistics and analysis model of deep body temperature variability, knot is obtained
By.The system can change the Non-invasive detection realized to organism metabolism state by the deep body temperature after monitoring human body feed, use
It is diagnosed in health evaluating and metabolic disease, new detection method is provided for human health.
Detailed description of the invention
Fig. 1 is data receiver of the present invention and processing unit equipment connection schematic diagram；
Fig. 2 is the equipment connection schematic diagram for detecting terminal；
Fig. 3 is data receiver and processing unit work flow diagram；
Fig. 4 is acquisition terminal program processing flow diagram；
Fig. 5 is the definition of postprandial body temperature time frame coefficient relevant parameter.
Specific embodiment
It, below will be to required use in embodiment description in order to illustrate more clearly of the technical solution in inventive embodiments
Attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only invent some embodiments, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
As shown in Figures 1 to 4, the present invention is a kind of metabolism shape based on the analysis of postprandial human body deep body temperature time frame coefficient
State evaluation system, including detection terminal and data receiver and two parts of processing unit.
As shown in Figure 1, the data receiver communicates acquisition with the Back end data that processing unit is responsible for whole system, data are deposited
Storage, data analysis and service application, are a software systems, can be realized by a mobile phone app.The service application includes prison
Survey terminal management, sensor management, data management and user interface.
Data receiver communicated with the Back end data that processing unit is responsible for whole system acquisition, data storage, service application and
Analysis model algorithm, including data acquisition module, business application module, the communication server, data memory module, data analyze mould
Block, database server, file server, distributed file system, conclusion verifying and release module and application server；It is described
The communication server is sequentially connected electrically data acquisition module and business application module, the database server and file server according to
Secondary electrical connection storage unit and data analysis unit, the application server are sequentially connected electrically distributed file system and datagram
Accuse module, the successively two-way electrical connection of the data acquisition module, storage unit and distributed file system.
Wherein, the communication server is used for and detects terminal and communicated；For detecting terminal management, sensor management, number
According to processes such as management and user interface presentations.
Database server, the acquisition data for will test terminal transmission save in real time；And carry out data processing.Specifically
For receive detection terminal obtain deep body temperature and body surface temperature data, carry out data storage and to postprandial deep body temperature when
Between variability analyzed, then carrying out parameter extraction, be compared with normal value after parameter extraction, first determine whether single ginseng
Several drift conditions；Further according to the statistics and analysis model of deep body temperature variability, it was therefore concluded that.
File server, for storing data attachment files needed for the server of library.
Application server is reported for being connect by agreement with client according to data analysis result creation data.
Specifically, the data that detection terminal reports are stored in distributed file system in the form of Metric packet, backstage
Data analysis module Metric data packet is parsed, the data after parsing are stored in database storage unit, data
Structure should include at least: acquisition terminal sequence number, sensor type, acquisition target, acquisition time and parameter value；And it is connect in data
It receives and is shown in processing unit.
As shown in Fig. 2, detection terminal is a mounted wearable device of chest, it is used for and data acquisition is established with processing unit
Communication link, while will test the data that terminal detects and being sent to data acquisition and procession unit, and realizing that data are protected in real time
It deposits in the data store.The equipment by power supply module, master control borad MCU, communication module, deep body temperature sensor, display screen,
Clock control module, key, Jlink interface, skin temperature sensors and flexible material composition, and master control borad MCU and the confession
Electric module, communication module, deep body temperature sensor, skin temperature sensors, display screen, clock control module, key and Jlink
Interface distinguishes two-way electrical connection.
Wherein, power supply module is used to detect the power supply of terminal；Communication module is used for and data acquisition and procession unit
Between both-way communication；Deep body temperature sensor is used to detect the deep body temperature of body；Display screen for display reminding information and
Deep body temperature is horizontal；Clock control module is for providing temporal information；Key is operated for user's beginning and end；Jlink connects
Mouth is used for equipment debugging and data communication；Skin temperature sensors are for detecting shell temperature and correction deep body temperature sensor number
According to；Flexible material is used to detect the fixation and packaging of terminal.Master control borad MCU send sensor detection instruction, and start read when
The detection data of clock control module, deep body temperature sensor and skin temperature sensors carries out preliminary treatment, at master control borad MCU
It manages result and data acquisition and procession unit is sent to by communication module, partial results are sent to display screen.
Preferably, the detection terminal is wearable detection terminal.The communication module is GPRS/ bluetooth module, described
It detects terminal and mobile phone is connected by bluetooth module, the detection terminal power supply module is 3.7V lithium battery, the clock control mould
Block is clock chip, and affiliated deep body temperature sensor is Omron deep body temperature sensor, and the data storage is using distributed
Storage.
The data receiver and processing unit and detection terminal are realized by communication module to be wirelessly connected, the master control borad
MCU is equipped with analog interface, and the deep body temperature sensor, skin temperature sensors export analog signal, and master control borad MCU passes through mould
Analog signal is transformed to data-signal by quasi- interface.
The data acquisition program of the data receiver and processing unit uses ICP/IP protocol；The data structure of acquisition should be extremely
It less include: acquisition terminal sequence number, sensor type, acquisition time and parameter value.
The workflow of the detection terminal is as follows:
A) it feeds first 10 minutes, system, which receives, starts sense command；
B) sensing data exports analog signal, and master control borad MCU is converted the analog signal of sensor by analog interface
For digital signal；
C) master control borad MCU acquires digital signal and stores；
D) master control borad MCU judges the validity of data according to pre-set parameter value range；
E) original data processing branch: 1. if data invalid, resurveying data, and the invalid rear notice of acquisition is repeated several times
Backstage is simultaneously shown to detection terminal display screen and sends a message to mobile phone by bluetooth module；2., will be collected if effective
Data are further processed.
F) use environment variable: the initial data that shell temperature correction deep body temperature sensor detects.
G) after the data for obtaining correction, master control borad MCU sends data to display screen and communication module again by infinite network
It is sent to mobile phone, carries out real-time display.
The course of work of the data receiver and processing unit is as follows:
A) data acquisition program: communication chain is established with processing unit in detection terminal and data acquisition using ICP/IP protocol
Road, while the data that acquisition terminal is sent being stored in database storage unit in real time.
B) data that respectively detection terminal reports are stored in distributed file system in the form of Metric packet, the number on backstage
Metric data packet is parsed according to analysis module, the data after parsing are stored in database storage unit, data structure
It should include at least: acquisition terminal sequence number, sensor type, acquisition target, acquisition time and parameter value；And data receiver with
It is shown in processing unit.
C) time frame coefficient of postprandial deep body temperature is analyzed: right after a deep body temperature change unit occurs
The cell data is handled, and treatment process includes: base body including denoising, smooth and parameter extraction, the parameter to be extracted
Temperature (Tb), body temperature rise interval time (Ts), body temperature rise slope over 10 (Lr), rise 90% required for the time (Tr90), under
Time (Td90) required for slope over 10 (Ld), decline 90%, ascensional range (Δ F), highest body temperature (Tm=Tb+ Δ F), half drop
High width (FWHM) and body temperature increase duration (Tl), and attached drawing 5 is shown in the definition of these parameters.The deep body temperature changes single
Member refer to from feed be restored to normal level to deep body temperature after feed within first 10 minutes after 10 minutes.
D) each parameter is compared with its normal value section after parameter extraction.First determine whether the validity of Tb and Tm, if
Tb or Tm value is abnormal, shows that detection data is insincere；Conversely, judging the drift condition of remaining parameter, each parameter is intended to generation
The offset for thanking to disorder characterization is defined as negative offset, if individual number>=2 of negative bias shifting parameter occurs and<4 to draw a conclusion be " light
Spend metabolic disorder ", if individual number>=4 of negative bias shifting parameter occurs and<6 draw a conclusion as " medium metabolic disorder ", if
It draws a conclusion as " severe metabolic disorder " number >=6 that negative bias shifting parameter occurs in individual.
To keep the purposes, technical schemes and advantages of invention clearer, with reference to the accompanying drawings and examples to the tool of invention
Body performance is described further, described to be the explanation to invention rather than limit.
Embodiment
As shown in Figure 1, the data receiver and processing unit are negative for data receiver and processing unit equipment connection schematic diagram
Blame Back end data communication acquisition, data storage, service application, the data analysis of whole system, including the communication server, database
Server, file server and application server, the communication server is sequentially connected electrically acquisition software and service application, described
Database server and file server are sequentially connected electrically storage unit and data analysis, the application server are sequentially connected electrically
Distributed file system and data report, the data acquisition, storage unit and distributed file system successively two-way electrical connection.
The communication server is used for and detects terminal and communicated；The data acquisition module is used for and detection
Terminal connection obtains deep body temperature and body surface temperature data；The business application module for receiving Monitoring instruction, and transmits
Data；
The database server, the acquisition data for will test terminal transmission save in real time, and carry out at data
Reason；The data memory module is used to will test the deep body temperature of terminal transmission and body surface temperature data are saved in real time；
The data analysis module analyzes the time frame coefficient of postprandial deep body temperature, and extracting parameter, after parameter extraction and
Normal value is compared, according to postprandial deep body temperature time frame coefficient evaluation model, it was therefore concluded that；The file server,
Attachment files needed for the server of library for storing data；
The application server generates datagram according to data analysis result for connecting by agreement with client
It accuses；The distributed file system, for being stored in data in distributed file system in the form of Metric packet；It is described
Conclusion verifying and release module, for generating data report and being transmitted.
As shown in Fig. 2, the present invention detects the equipment connection schematic diagram of terminal.The detection terminal, which is that a chest is mounted, wears
Equipment is worn, the equipment is by power supply module, master control borad MCU, communication module, deep body temperature sensor, display screen, clock control mould
Block, key, Jlink interface, skin temperature sensors and flexible material composition, and master control borad MCU and the power supply module, communicate
Module, deep body temperature sensor, skin temperature sensors, display screen, clock control module, key and Jlink interface are double respectively
To electrical connection.
As shown in figure 3, data receiver and processing unit work flow diagram, the data receiver and processing unit is worked
Journey is as follows:
A) data acquisition program: communication chain is established with processing unit in detection terminal and data acquisition using ICP/IP protocol
Road, while the data that acquisition terminal is sent being stored in database storage unit in real time.
B) data that respectively detection terminal reports are stored in distributed file system in the form of Metric packet, the number on backstage
Metric data packet is parsed according to analysis module, the data after parsing are stored in database storage unit, data structure
It should include at least: acquisition terminal sequence number, sensor type, acquisition target, acquisition time and parameter value；And data receiver with
It is shown in processing unit.
C) time frame coefficient of postprandial deep body temperature is analyzed: right after a deep body temperature change unit occurs
The cell data is handled, and treatment process includes: base body including denoising, smooth and parameter extraction, the parameter to be extracted
Temperature (Tb), body temperature rise interval time (Ts), body temperature rise slope over 10 (Lr), rise 90% required for the time (Tr90), under
Time (Td90) required for slope over 10 (Ld), decline 90%, ascensional range (Δ F), highest body temperature (Tm=Tb+ Δ F), half drop
High width (FWHM) and body temperature increase duration (Tl), and attached drawing 5 is shown in the definition of these parameters.The deep body temperature changes single
Member refer to from feed be restored to normal level to deep body temperature after feed within first 10 minutes after 10 minutes.
D) it is compared after parameter extraction with normal value, first determines whether the drift condition of single parameter.It is each after parameter extraction
Parameter is compared with its normal value section.It first determines whether the validity of Tb and Tm, if Tb or Tm value is abnormal, shows testing number
According to insincere；Conversely, judging the drift condition of remaining parameter, the offset definition that each parameter is intended to metabolic disorder characterization is negative
Offset, if individual number>=2 of negative bias shifting parameter occurs and<4 draw a conclusion as " slight metabolic disorder ", if individual occurs
It number>=4 of negative bias shifting parameter and<6 draws a conclusion as " medium metabolic disorder ", if the number of negative bias shifting parameter occurs in individual
>=6 draw a conclusion as " severe metabolic disorder ".
It is that the workflow of acquisition terminal is as follows shown in Fig. 4:
A) sensor is needed to configure according to detection；
B) sensing data output is analog signal, and master control borad MCU is become the analog signal of sensor by analog interface
It is changed to data-signal；
C) master control borad MCU acquires digital signal and stores；
D) master control borad MCU judges the validity of data according to pre-set parameter value range；
E) original data processing branch: 1. if Notice Of Nonavailability backstage is detected or reports an error again；2. if effective, to detection
Data are further processed.
F) use environment variable body temperature corrects deep body temperature initial data, because the parameter value of sensor can become according to environment
Amount changes；
G) after the data for obtaining correction, master control borad MCU sends data to display screen or re-sends to number by communication module
According to reception and processing unit, shown.
Shown in Fig. 5, curve is defined for postprandial body temperature time frame coefficient relevant parameter, the parameter for needing to extract includes: basis
Body temperature (Tb), body temperature rise interval time (Ts), the time (Tr90) required for body temperature rises slope over 10 (Lr), rises 90%,
Decline slope over 10 (Ld), decline 90% required for the time (Td90), ascensional range (Δ F), highest body temperature (Tm=Tb+ Δ F),
Halfwidth (FWHM) and body temperature increase duration (Tl).
Obviously, above-described embodiment is only intended to clearly illustrate invention example, and is not the implementation to invention
The restriction of mode.For those of ordinary skill in the art, can also make on the basis of the above description it is other not
With the variation or variation of form.There is no necessity and possibility to exhaust all the enbodiments.And these belong to the essence of invention
Refreshing changes and variations that derived from still in the protection scope of invention among.
Although being described above in conjunction with specific embodiment of the attached drawing to invention, invention is not limited to above-mentioned
Specific embodiment, above-mentioned specific embodiment are only schematical, directiveness rather than restrictive.This field
Those of ordinary skill under the enlightenment of this specification, in the case where not departing from the scope of the claimed protection of invention,
A variety of forms can also be made, these belong to the column of invention protection.
Claims (10)
1. the metabolism state evaluation system based on the analysis of postprandial deep body temperature time frame coefficient, which is characterized in that eventually including detection
End and data receiver and processing unit；
The detection terminal is a mounted wearable device of chest, for establishing communication chain with processing unit with data acquisition
Road, while the deep body temperature and body surface temperature data that will test are sent to data acquisition and procession unit；
The data receiver and processing unit, for receiving the deep body temperature and body surface temperature data that detection terminal obtains, into
Row data storage, and analysis and parameter extraction are carried out to the time frame coefficient of postprandial deep body temperature, after parameter extraction and normal value
It is compared, according to postprandial deep body temperature time frame coefficient evaluation model, it was therefore concluded that.
2. the metabolism state evaluation system according to claim 1 based on the analysis of postprandial deep body temperature time frame coefficient,
Be characterized in that, the detection terminal include the master control borad MCU being arranged on flexible material, power supply module, clock control module,
Communication module, deep body temperature sensor and skin temperature sensors；Clock control module, power supply module, communication module, deep body
Temperature sensor and skin temperature sensors with master control borad MCU is two-way is electrically connected；
The power supply module, for detecting the power supply of terminal；
The communication module, for the both-way communication between data acquisition and procession unit；
The deep body temperature sensor, for detecting the deep body temperature of body；
The clock control module, for providing temporal information；
The skin temperature sensors, for detecting shell temperature and correction deep body temperature sensing data；
The master control borad MCU for sending sensor detection instruction, and starts to read clock control module, deep body temperature biography
The detection data of sensor and skin temperature sensors, carries out preliminary treatment, and master control borad MCU processing result is sent by communication module
To data acquisition and procession unit.
3. the metabolism state evaluation system according to claim 2 based on the analysis of postprandial deep body temperature time frame coefficient,
Be characterized in that, the detection terminal further include display screen, key, Jlink interface, and master control borad MCU and display screen, key and
Jlink interface distinguishes two-way electrical connection；
The display screen is used for display reminding information and deep body temperature data；
The key is operated for user's beginning and end；
The Jlink interface is used for equipment debugging and data communication；And the master control borad MCU partial results handled are sent to aobvious
Display screen.
4. the metabolism state evaluation system according to claim 3 based on the analysis of postprandial deep body temperature time frame coefficient,
It is characterized in that, the master control borad MCU, is also used to judge the validity of data according to pre-set parameter value range；
If data invalid, data are resurveyed, the invalid rear notice backstage of acquisition is repeated several times and are shown to the aobvious of detection terminal
Display screen and data acquisition and procession unit is sent a message to by communication module；If effectively, collected data carried out down
The processing of one step.
5. the metabolism state evaluation system according to claim 2 based on the analysis of postprandial deep body temperature time frame coefficient,
It is characterized in that, the data receiver communicates acquisition, data storage, business with the Back end data that processing unit is responsible for whole system
Using with analysis model algorithm, including data acquisition module, business application module, the communication server, data memory module, data
Analysis module, database server, file server, distributed file system, conclusion verifying and release module and application service
Device；The communication server is sequentially connected electrically data acquisition module and business application module, the database server and file
Server is sequentially connected electrically data memory module and data analysis module, and the application server is sequentially connected electrically distributed document
System and conclusion verifying and release module, the data acquisition module, data memory module and distributed file system are successively double
To electrical connection；
The communication server is used for and detects terminal and communicated；The data acquisition module is used for and detection terminal
Connection obtains deep body temperature and body surface temperature data；The business application module for receiving Monitoring instruction, and transmits number
According to；
The database server, the acquisition data for will test terminal transmission save in real time, and carry out data processing；Institute
The data memory module stated is used to will test the deep body temperature of terminal transmission and body surface temperature data are saved in real time；Described
Data analysis module analyzes the time frame coefficient of postprandial deep body temperature, and extracting parameter, after parameter extraction and normal value
It is compared, according to postprandial deep body temperature time frame coefficient evaluation model, it was therefore concluded that；The file server, for depositing
Attachment files needed for storing up database server；
The application server generates data report according to data analysis result for connecting by agreement with client；Institute
The distributed file system stated, for being stored in data in distributed file system in the form of Metric packet；The knot
By verifying and release module, for generating data report and being transmitted.
6. the metabolism state evaluation system according to claim 5 based on the analysis of postprandial deep body temperature time frame coefficient,
It is characterized in that:
The data that the detection terminal reports are stored in the distributed file system of application server in the form of Metric packet
In, the data analysis module of database server parses Metric data packet, and the data after parsing are stored in database
In the database storage module of server.
7. the metabolism state evaluation system according to claim 5 based on the analysis of postprandial deep body temperature time frame coefficient, institute
The deep body temperature sensor stated is 10 minutes after being restored to normal level to deep body temperature after feed within first 10 minutes from feed.
8. the metabolism state evaluation system according to claim 5 based on the analysis of postprandial deep body temperature time frame coefficient, institute
The data analysis module stated is processed for handling the cell data after deep body temperature change unit occurs
Journey includes: basal body temperature Tb, body temperature rise interval time Ts, body including denoising, smooth and parameter extraction, the parameter to be extracted
Time required for time Tr90 required for temperature rises slope over 10 Lr, rises 90%, decline slope over 10 Ld, decline 90%
Td90, ascensional range Δ F, highest body temperature Tm, halfwidth FWHM and body temperature increase duration T l, highest body temperature Tm=Tb+
ΔF。
9. the metabolism state evaluation system according to claim 8 based on the analysis of postprandial deep body temperature time frame coefficient, institute
The data analysis module stated is also used to be compared parameter each after parameter extraction with its normal value section:
It first determines whether the validity of Tb and Tm, if Tb or Tm value is abnormal, shows that detection data is insincere；Conversely, judging remaining
The offset that each parameter is intended to metabolic disorder characterization is defined as negative offset, if negative bias occurs in individual by the drift condition of parameter
Number>=2 of shifting parameter and<4 generate " slight metabolic disorder " report, if individual occur number>=4 of negative bias shifting parameter and
<6 generate the report of " medium metabolic disorder ", if number>=6 that negative bias shifting parameter occurs in individual generate " severe metabolic disorder "
Report.
10. the metabolism state evaluation system according to claim 8 based on the analysis of postprandial deep body temperature time frame coefficient, institute
The data analysis module stated sends data to the data report of application server for generating individual metabolism shape after drawing a conclusion
State assessment and report, and findings data is stored and issued by data memory module, also while updating deep body temperature change
The data of anisotropic statistics and analysis model.
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