CN109589100A - Medical examination device and health evaluating method based on topsis algorithm - Google Patents
Medical examination device and health evaluating method based on topsis algorithm Download PDFInfo
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Abstract
The present invention relates to medical examination fields, to propose medical examination device and health evaluating method for the working environment for having pollution.The present invention, medical examination device and health evaluating method based on topsis algorithm, steps are as follows: the first step, formaldehyde is detected by gas sensor A and gas sensor B detects carbon monoxide, detect two kinds of concentration of toxic gases, data processing is carried out by single-chip microcontroller, and then drives display screen, shows gas concentration numerical value；When detectable concentration is higher than safety value, driving buzzer is sounded an alarm；The content of second step is health evaluating；Third step is that data transmission and health forecast are fitted using least square method according to four heart rate, blood pressure, Hemoglobin Value and oximetry value index value m times data detected and predict detected value next time, judge health status according to predicted value.Present invention is mainly applied to medical examination occasions.
Description
Technical field
The present invention relates to medical examination fields, can not only detect toxic gas, can also be for user's heart rate, blood pressure, blood red
The detection data of albumen and blood oxygen saturation realizes intellectual analysis.Concretely relate to the medical examination dress based on topsis algorithm
It sets and health evaluating method.
Background technique
Occupational disease have the characteristics that invisible strong, morbidity lag, endanger it is far-reaching.For working in the skill of chemical workshop throughout the year
The frequency of art personnel, the noxious materials such as Formaldehyde Exposed, carbon monoxide are often higher, these noxious materials also tend to be leukaemia etc.
The inducement of hematologic disease.Staff needs periodically to carry out a variety of health such as heart rate, blood pressure, hemoglobin and blood oxygen saturation to refer to
Target detection, staff can understand self health status according to testing result.
There are many inconvenience for traditional physical examination device, can not be according to heart rate, blood pressure, Hemoglobin Value and oximetry value
Accurately to assess the health status of worker.Detection data can not be transmitted to terminal (such as PC, tablet computer, smart phone
Deng), data record and health forecast can not be carried out, and medical data information is easy leakage, its confidentiality need to be improved.
Gaseous species and concentration dependent information are converted to electric signal by gas sensor, according to the power of electric signal, are sentenced
Buzzing is arranged mainly for detection of formaldehyde and carbon monoxide in the disconnected information such as gaseous species and concentration, the gas sensor in patent
Device provides alarm.
Iris recognition module carries out identification based on the iris in eyes, and cmos image sensor acquires iris grayscale image
Picture after single-chip microcontroller receives gray level image, by gain adjustment and normalized, acquires iris feature and feature coding, by rainbow
Film feature sees that exhibition matches with the template in iris database, and the module is for determining every worker's identity.It is heart rate, blood pressure, blood red
Protein value and oximetry value can detect acquisition by sensor or dedicated test module.Wifi is a kind of interconnection technique,
It is the technology for being wirelessly interconnected each terminal (such as PC, tablet computer, smart phone).Wifi packet
Hardware device and network protocol are included, which has many advantages, such as that high bandwidth, radiofrequency signal be strong and low-power consumption.
Topsis method is the method by analyzing the degree of closeness of evaluation object and idealization target, is that one kind is forced
The analysis method of nearly ideal solution.The basic principle is that being arranged at a distance from optimal solution and most inferior solution by detecting evaluation object
Sequence.The algorithm includes " ideal solution " and " minus ideal result " two concepts, and " ideal solution " is the optimal solution imagined, and each attribute value is
Optimum value in scheme, " minus ideal result " are the most inferior solution imagined, and each attribute value is the worst-case value in scheme.In patent, lead to
It crosses between heart rate, blood pressure, four indexs of Hemoglobin Value and oximetry value and the corresponding health value of analysis worker
Distance, later weighted analysis, and then the health degree of assessment worker.In analysis, for actual conditions, it is general to give up " minus ideal result "
It reads.
There are many researchs for various physical examination devices both at home and abroad, through patent retrieval, the health indicator of inspection includes heart rate, blood
Pressure, Hemoglobin Value, blood glucose value, oximetry value etc., but test and analyze device there are integrated levels not high, intelligence degree
Insufficient, the disadvantages of system is not perfect.
[bibliography]
[1] Tan Jiyu, Zhu Chuanxi Interval Intuitionistic Fuzzy number ranking method [J] control and decision 2015 based on TOPSIS,
2014-2018
[2] Xu Zeshui, multiple attribute decision making (MADM) approach [J] the system engineering theory and practice under intuitionistic fuzzy preference information,
2007,27(11):62-71.
The variability of the Maintenance Hemodialysis Patients hemoglobin such as [3] Cai Hong, Zhang Weiming [J] related to death China blood
Liquid purifies 2014 12-16
[4]Renato A.Krohling et al.A-TOPSIS——An approach Based on TOPSIS
for Ranking Evolutionary Algorithms[J]Procedia Computer Science 2015 308-317
[5]Gourav Dwived et al.A generalised fuzzy TOPSIS with improved
closeness coefficient[J]Expert Systems with Applications 2018 185-195。
Summary of the invention
In order to overcome the deficiencies of the prior art, the present invention is directed to propose medical examination device for the working environment for having pollution
And health evaluating method.For this reason, the technical scheme adopted by the present invention is that the medical examination health evaluating side based on topsis algorithm
Method, steps are as follows:
The first step detects formaldehyde by gas sensor A and gas sensor B detects carbon monoxide, and two kinds of detection is toxic
Gas concentration carries out data processing by single-chip microcontroller, and then drives display screen, shows gas concentration numerical value；When detectable concentration height
In safety value, buzzer is driven, is sounded an alarm；
The content of second step is health evaluating, successively detects heart rate, blood pressure, Hemoglobin Value and blood oxygen saturation first
Value constructs health evaluating matrix V by comparing the difference of indices value and health value ', by health evaluating matrix V ' in
Element, the method that is weighted realizes health evaluating；
Third step is data transmission and health forecast, according to heart rate, blood pressure, Hemoglobin Value and oximetry value four
The data of index value m times detection, are fitted using least square method and predict detected value next time, judge health according to predicted value
Situation.
Second step further specifically, obtains heart rate, blood pressure, Hemoglobin Value and oximetry value under health status
Value, pressure value is recorded as the mean value of systolic pressure and diastolic pressure, respectively M1, M2, M3, M4, use ((Xij-Mj)/Mj)2Indicate the
The difference of the health value of i worker's jth item indexs and this index, constructs health evaluating matrix V ':
In matrix V ' in matrix it is found that Yi1, Yi2, Yi3, Yi4Respectively indicate i-th bit worker heart rate, blood pressure, Hemoglobin Value
With the quantitative differences of oximetry value and health value, quantitative differences are smaller, and the health degree of worker is higher, to heart rate, blood pressure,
The different weight W of Hemoglobin Value and oximetry value four Distribution Indexes1,W2,W3,W4, construct matrix Z*
Eventually by comparing Z1,Z2... the health status of every worker is assessed in the size of Zn and sequence, and numerical value gets over
Low, then health degree is better, and numerical value is higher, then health degree is poorer；Threshold value Z is setTIf Z1Numerical value into Zn, existence value are big
In ZT, then sound an alarm at once, and arrange the medical treatment of the worker；For being not up to threshold value ZT, but the worker that numerical value is high, it needs
Arrange vacation rest and necessary treatment.
Specifically, a worker detects m times third step altogether, and defining i-th index jth time detection numerical value of this worker is Cij, i
Value is that 1-4, j value is 1-m,
Defining matrix T is
It is fitted using least square method, the m item data of every a line is fitted, four matched curves, root can be obtained
According to fitting result, predict heart rate, blood pressure, Hemoglobin Value, oximetry value are at the m+1 times as a result, four warnings of setting
Value is respectively CT1, CT2, CT3, CT4；The primary warning of setting, middle rank warning and advanced warning three grades；Primary warning refers to prediction
It is more than warning value there are an item data in the m+1 times four indices, middle rank warning refers in prediction the m+1 times four indices,
It is more than warning value there are two item datas, advanced warning refers in prediction the m+1 times four indices, and there are three or three or more numbers
According to more than warning value.
Medical examination device based on topsis algorithm, including detection formaldehyde gas sensor A and detection carbon monoxide gas
Dependent sensor B detects two kinds of concentration of toxic gases, and described two gas sensor data are exported to be carried out at data to single-chip microcontroller
Reason, and then display screen is driven, show gas concentration numerical value；When detectable concentration is higher than safety value, driving buzzer is sounded an alarm；
In addition, further including heart rate detection module, blood pressure detecting module, hemoglobin detection module and blood oxygen saturation detection module, use
In successively detection heart rate, blood pressure, Hemoglobin Value and oximetry value；It is provided with health evaluating module in single-chip microcontroller, is used for
By comparing the difference of the indices value and health value that include heart rate, blood pressure, Hemoglobin Value and oximetry value, building
Element in health evaluating matrix V ', by health evaluating matrix V ', is weighted to realize health evaluating.
It further include computer, for step to be handled as follows: detecting m times altogether, define i-th index jth of this worker
Secondary detection numerical value is Cij, i value is that 1-4, j value is 1-m,
Defining matrix T is
In a computer, it is fitted using least square method, the m item data of every a line is fitted, obtain four fittings
Curve, according to fitting result, predict heart rate, blood pressure, Hemoglobin Value, oximetry value are at the m+1 times as a result, setting four
Item warning value is respectively CT1, CT2, CT3, CT4, primary warning, middle rank warning and advanced warning three grades, primary warning are set
Refer in the four indices for predicting the m+1 times, be more than warning value there are an item data, middle rank warning refers to four of prediction the m+1 times
It is more than warning value there are two item datas in index, advanced warning refers in prediction the m+1 times four indices that there are three or three
Item above data is more than warning value.
The features of the present invention and beneficial effect are:
The present invention will check to include heart rate, blood pressure, Hemoglobin Value, blood glucose value, oximetry value etc. health indicator
Each module integrated, improve the integrated level of detection device, realize intellectualized detection, system improves.In addition, also
Have the characteristics that check easy, rapid.
Detailed description of the invention:
Fig. 1 is formaldehyde and Carbon Monoxide Detection circuit connection diagram；
Fig. 2 is job control figure of each module in health evaluating；
Fig. 3 is health evaluating process flow diagram flow chart；
Fig. 4 is the medical examination structure drawing of device；
In figure:
1-iris capturing mouth (is responsible for acquisition iris image)
2-TFT display screens (the authentication result of display iris recognition)
3-charactron A (display formaldehyde examination concentration)
4-charactron B (display Carbon Monoxide Detection concentration)
5-gas sensor A (detection formaldehyde and its concentration)
6-gas sensor B (detection carbon monoxide and its concentration)
7-buzzer 8-Hemoglobin Value detection module 9-oximetry value detection modules
10-heart rate detection bracelet 11-blood pressure detecting bracelets
12-TFT display screens (display heart rate, blood pressure, Hemoglobin Value, oximetry value and health evaluating result).
Specific embodiment
The present invention is divided into gas detection, three step of health evaluating, data transmission and health forecast.
The first step has by gas sensor A (detection formaldehyde) and gas sensor B (detection carbon monoxide) two kinds of detection
Poison gas bulk concentration, single-chip microcontroller passes through data processing, and then drives TFT (thin film transistor (TFT)) display screen, shows gas concentration numerical value.
When detectable concentration is higher than safety value, driving buzzer is sounded an alarm.
The content of second step is health evaluating, realizes authentication using the method for iris recognition first.Device includes
Heart rate detection module, blood pressure detecting module, hemoglobin detection module and blood oxygen saturation detection module, and then successively detect the heart
Rate, blood pressure, Hemoglobin Value and oximetry value.By comparing the difference of indices value and health value, constructs health and comment
The element of estimating matrix V in ', by health evaluating matrix V ', the method being weighted realize health evaluating.
Third step is data transmission and health forecast, real by suitable communication interface between single-chip microcontroller and Wifi chip
Existing data interaction is communicated between host computer and MCU by Wifi realization.Host computer obtains heart rate, blood pressure, Hemoglobin Value and blood
Four index values of oxygen saturation value are fitted using least square method and are predicted next according to the data of four index value m times detections
Secondary detected value, worker can judge self health status according to predicted value.
Below with reference to specific example, present invention be described in more detail.
In first part, I selects the formaldehyde and carbonomonoxide concentration of dedicated gas sensor detection workshop, signal
Filter circuit is first passed through, signal noise is reduced, improves signal-to-noise ratio, amplifying circuit changes signal gain later, which passes through A/D
Digital signal is formed after conversion, digital signal is sent to MCU and handles, and MCU drives TFT (thin film transistor (TFT)) display screen, display
Gas concentration numerical value.When detectable concentration is higher than safety value, driving buzzer issues intelligent alarms.
Authentication need to be carried out in second part for effective secrecy to worker's medical data.Iris pattern structure is multiple
It is miscellaneous, texture-rich, discrimination, in terms of performance indicator it is very excellent.Cmos image sensor acquires iris ash
Image is spent, dedicated iris recognition module determines identity after image analysis, and identity result is in TFT (thin film transistor (TFT)) display screen
Upper display.Worker's identity determine it is errorless after, acquire worker four body indexs carry out health evaluating.Device includes heart rate detection
Module, blood pressure detecting module, hemoglobin detection module and blood oxygen saturation detection module, hemoglobin detection module are used respectively
In the heart rate, blood pressure, Hemoglobin Value and the oximetry value that detect n workers.In view of actual conditions and convenience of calculation, blood
Pressure index value is recorded as the mean value of systolic pressure and diastolic pressure, four detection datas of n workers is counted using matrix V, wherein i-th
The jth item health of position worker is designated as Xij(i value is 1-n, and j value is 1-4).
Matrix V is
Topsis algorithm basic principle is analyzed at a distance from optimal solution and most inferior solution by detecting evaluation object, this
Invention considers actual conditions, gives up detection evaluation object to the distance of most inferior solution, only detecting optimal solution, (i.e. four indices are most
Health value) distance.According to medical survey and statistics, heart rate, blood pressure, Hemoglobin Value and oximetry value are obtained in health
Value under state, pressure value are recorded as the mean value of systolic pressure and diastolic pressure, respectively M1, M2, M3, M4.I.e. it is found that in matrix V
Physical examination numerical value and M1, M2, M3, M4Difference it is smaller, the health status of this worker is better, use ((Xij-Mj)/Mj)2Indicate i-th
The difference of the health value of position worker's jth item index and this index.Construct health evaluating matrix V '
In matrix V ' in matrix it is found that Yi1, Yi2, Yi3, Yi4Respectively indicate i-th bit worker heart rate, blood pressure, Hemoglobin Value
With the quantitative differences of oximetry value and health value, quantitative differences are smaller, and the health degree of worker is higher.To heart rate, blood pressure,
The different weight W of Hemoglobin Value and oximetry value four Distribution Indexes1,W2,W3,W4, construct matrix Z*
In the configuration of weight, it is contemplated that Hemoglobin Value and the numerical value of oximetry value can more reflect the healthy shape of people
Condition, so by W1,W2,W3,W4Weight be configured to 0.1,0.1,0.45 and 0.35, eventually by comparing Z1,Z2... Zn's
Size simultaneously sorts to assess the health status of every worker.Numerical value is lower, then health degree is better, and numerical value is higher, then healthy journey
It is poorer to spend.Threshold value Z is setTIf Z1Numerical value into Zn, existence value are greater than ZT, then sound an alarm at once, and arrange the worker's
Medical treatment.For being not up to threshold value ZT, but the worker that numerical value is high, need to arrange vacation rest and necessary treatment.
In Part III, Wifi data communication module mainly includes hardware realization and software realization, MCU and Wifi chip
Between, data interaction is realized by suitable communication interface, writes drive code set, so that Wifi chip can work normally, it is real
The communication of existing host computer and MCU.Upper computer software is write using Visual Studio 2010, computer receives Wifi signal,
Host computer shows data result.Data result includes four indices, heart rate, blood pressure, Hemoglobin Value and oximetry value.With
For any one worker, this worker carries out one-time detection at every fixed time (such as 1 week), after a period of time,
It detects m times altogether, defining i-th index jth time detection numerical value of this worker is Cij(i value is that 1-4, j value is 1-m).
Defining matrix T is
In a computer, it is fitted using least square method, the m item data of every a line is fitted, four can be obtained
Matched curve, according to fitting result, predict heart rate, blood pressure, Hemoglobin Value, oximetry value are at the m+1 times as a result, setting
Setting four warning values is respectively CT1, CT2, CT3, CT4.The primary warning of setting, middle rank warning and advanced warning three grades.It is primary
Warning refers in prediction the m+1 times four indices, is more than warning value there are an item data, and middle rank warning refers to prediction the m+1 times
It is more than warning value there are two item datas in four indices, advanced warning refers in prediction the m+1 times four indices that there are three
Or three above data are more than warning value.Prediction result can send single-chip microcontroller to by Wifi, use this prediction technique
Before next physical examination, worker is fed back in advance, and then takes necessary remedy measures, and state of an illness depth is effectively avoided to deteriorate.
Claims (5)
1. a kind of medical examination health evaluating method based on topsis algorithm, characterized in that steps are as follows:
The first step detects formaldehyde by gas sensor A and gas sensor B detects carbon monoxide, detects two kinds of toxic gases
Concentration carries out data processing by single-chip microcontroller, and then drives display screen, shows gas concentration numerical value；When detectable concentration is higher than peace
Total head drives buzzer, sounds an alarm；
The content of second step is health evaluating, successively detects heart rate, blood pressure, Hemoglobin Value and oximetry value first, is led to
The member crossed the difference for comparing indices value and health value, construct health evaluating matrix V in ', by health evaluating matrix V '
Element, the method that is weighted realize health evaluating；
Third step is data transmission and health forecast, according to four heart rate, blood pressure, Hemoglobin Value and oximetry value indexs
The data of value m times detection, are fitted using least square method and predict detected value next time, judge healthy shape according to predicted value
Condition.
2. the medical examination health evaluating method based on topsis algorithm as described in claim 1, characterized in that the second stepping
One step specifically, obtains the value of heart rate, blood pressure, Hemoglobin Value and oximetry value under health status, pressure value record
For the mean value of systolic pressure and diastolic pressure, respectively M1, M2, M3, M4, use ((Xij-Mj)/Mj)2Indicate that i-th bit worker jth item refers to
The difference of mark and the health value of this index constructs health evaluating matrix V ':
In matrix V ' in matrix it is found that Yi1, Yi2, Yi3, Yi4 respectively indicate i-th bit worker heart rate, blood pressure, Hemoglobin Value and
The quantitative differences of oximetry value and health value, quantitative differences are smaller, and the health degree of worker is higher, to heart rate, blood pressure, blood
Different weight W1, W2, W3, the W4 of red eggs white value and oximetry value four Distribution Indexes constructs matrix Z*
Eventually by comparing Z1, the health status of every worker is assessed in the size of Z2......Zn and sequence, and numerical value is lower, then
Health degree is better, and numerical value is higher, then health degree is poorer；Threshold value ZT is set, if numerical value of the Z1 into Zn, existence value are greater than
ZT is then sounded an alarm at once, and arranges the medical treatment of the worker；For being not up to threshold value ZT, but the worker that numerical value is high, need
Arrange vacation rest and necessary treatment.
3. the medical examination health evaluating method based on topsis algorithm as described in claim 1, characterized in that third step tool
Body, a worker detects m times altogether, and defining i-th index jth time detection numerical value of this worker is Cij, i value is 1-4, j value
For 1-m,
Defining matrix T is
It is fitted using least square method, the m item data of every a line is fitted, four matched curves can be obtained, according to quasi-
Close as a result, predict heart rate, blood pressure, Hemoglobin Value, oximetry value at the m+1 time as a result, four warning values of setting divide
It Wei not CT1, CT2, CT3, CT4；The primary warning of setting, middle rank warning and advanced warning three grades；Primary warning refers to prediction the
It is more than warning value there are an item data in m+1 four indices, middle rank warning refers in prediction the m+1 times four indices, deposits
It is more than warning value in two item datas, advanced warning refers in prediction the m+1 times four indices that there are three or three above data
More than warning value.
4. a kind of medical examination device based on topsis algorithm, characterized in that including detection formaldehyde gas sensor A and detection
Carbon monoxide gas sensor B, detects two kinds of concentration of toxic gases, described two gas sensor data export to single-chip microcontroller into
Row data processing, and then display screen is driven, show gas concentration numerical value；When detectable concentration is higher than safety value, driving buzzer, hair
Alarm out；In addition, further including heart rate detection module, blood pressure detecting module, hemoglobin detection module and blood oxygen saturation detection
Module, for successively detecting heart rate, blood pressure, Hemoglobin Value and oximetry value；Health evaluating mould is provided in single-chip microcontroller
Block, for the difference by comparing the indices value and health value that include heart rate, blood pressure, Hemoglobin Value and oximetry value
It is different, the element in health evaluating matrix V ', by health evaluating matrix V ' is constructed, is weighted to realize that health is commented
Estimate.
5. as claimed in claim 4 based on the medical examination device of topsis algorithm, characterized in that further include computer, use
In step is handled as follows: detecting m time altogether, defining i-th index jth time detection numerical value of this worker is Cij, and i value is
1-4, j value are 1-m,
Defining matrix T is
In a computer, it is fitted using least square method, the m item data of every a line is fitted, obtain four matched curves,
According to fitting result, predict heart rate, blood pressure, Hemoglobin Value, oximetry value are at the m+1 times as a result, four polices of setting
Ring value is respectively CT1, CT2, CT3, CT4.The primary warning of setting, middle rank warning and advanced warning three grades, primary warning refer to
It predicts in the m+1 times four indices, is more than warning value there are an item data, middle rank warning refers to that four of prediction the m+1 times refer to
It is more than warning value there are two item datas in mark, advanced warning refers in prediction the m+1 times four indices that there are three or three
Above data is more than warning value.
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