CN105942982B - A kind of tumour prediction instrument based on dynamic spectrum - Google Patents
A kind of tumour prediction instrument based on dynamic spectrum Download PDFInfo
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Abstract
The tumour prediction instrument based on dynamic spectrum that the invention discloses a kind of, including dynamic spectrum detection module, data processing module, display module；The dynamic spectrum detection module is used to detect the data of blood constituent and the blood component data that will test is transferred to data processing module, the data processing module is used to receive the blood component data of dynamic spectrum detection module transmission and carries out data processing, will treated data are transferred to display module, the display module processing module treated data and shown for receiving data.Tumour of the present invention based on grain leaching ratio predicts theory, tumor prevention is carried out in combination with blood constituent Non-invasive detection technology, forecast analysis is carried out to tumour by the ratio NLR of the quantity of neutrophil leucocyte (N), the quantity of lymphocyte (L) and the two, equipment is simple, easy to use, it can be achieved that noninvasive tumor prevention detection.
Description
Technical field
The invention belongs to medical instruments field more particularly to a kind of tumour prediction instruments based on dynamic spectrum.
Background technique
Blood constituent Non-invasive detection technology is always the research hotspot of biomedical engineering field in recent years, can be effectively reduced
The expense of formality and consumables is measured, and reduces the danger of blood sampling infection.Wherein, near infrared spectroscopy is quick with its, noninvasive, low
The advantages that cost, is widely applied, but the complexity by measurement position, contact pressure, individual difference and tested ingredient
It influences, selectivity and the sensitivity error for being tested ingredient are larger, reduce the precision of prediction of this method.
Dynamic spectrometry method is a kind of new non-invasive detection methods based near infrared spectrum, at present more at
It is ripe.Obtaining for dynamic spectrum can be there are two types of different methods: time domain optical spectroscopy and airspace optical spectroscopy.The light that the measurement method obtains
Spectroscopic data in modal data and traditional measurement method defines not exactly the same, and incident light and emergent light therein are all by right
What the detection while extraction of pulse wave obtained, the difference between them is derived only from the effect of pulsatile arterial blood, eliminates skin
Influence of the human body component of all non-arterial bloods such as skin tissue, subcutaneous tissue for absorbance, effectively eliminates individual difference
With error brought by measuring condition.
The mainly detection circulating tumor cell or tumor markers of tumour FORECAST AND PREVENTION work at present, testing conditions compared with
Height, and to the more demanding of patient when being detected, is disturbed that factor is more, these disadvantages make its expansion in clinical application
It has certain limitations, cannot also carry, it is difficult to carry out real-time monitoring and dynamic observation.
Summary of the invention
The tumour prediction instrument based on dynamic spectrum that the purpose of the present invention is to provide a kind of, it is intended to solve such as tumor markers
The testing conditions that tumour prediction technique is hidden at present such as screening, genetic test are more demanding, the device is complicated, repeatedly draw blood to machine
Bulk damage is too big, prediction result accuracy is not high and it is time-consuming and spend it is excessive so that cannot continuous real-time detection the problem of.
The invention is realized in this way a kind of tumour prediction instrument of the tumour prediction technique based on dynamic spectrum, described swollen
Tumor prediction instrument includes:
Dynamic spectrum detection module, for detecting the data of blood constituent and the blood component data that will test is transferred to number
According to processing module；
Data processing module is connect, for receiving dynamic spectrum detection module with dynamic spectrum detection module by Wi-Fi
The blood component data of transmission simultaneously carries out data processing, and by treated, data are transferred to display module；
Display module is connect by Wi-Fi with data processing module, for receiving data processing module treated data
And it is shown.
Further, the dynamic spectrum detection module includes light-splitting device, electrooptical device, modulus switching device and storage
Storage；
Light-splitting device, for exciting and adjusting the near-infrared incident light of irradiation human body；
Electrooptical device is connect by optical fiber with light-splitting device, for receiving the emergent light obtained after irradiation human body simultaneously
Convert thereof into electric signal；
Analog-digital converter is connect by optical fiber with electrooptical device, for receiving the telecommunications of electrooptical device transmission
Number, and it is converted into digital signal；
Reservoir is connect by data line with analog-digital converter, for storing digital signal and can be passed by Wi-Fi
It is defeated by data processing module.
It further, is the initial data of blood constituent using the spectrum that dynamic spectrum detection module obtains blood constituent,
And the initial data that will test is stored and is transmitted；
The method of the dynamic spectrum detection module detection blood constituent are as follows:
The light-splitting device of dynamic spectrum inspires near infrared light, by irradiating the finger of patient, the emergent light changed
Strong data are obtained according to Lambert-Beer's law:
A in formulaλFor the pulsatile arterial blood absorbance under wavelength X, αiFor the absorptivity of blood each component, d fills for maximum
It is full of the equivalent optical path of pulsatile arterial blood under state, cjFor the concentration of each component,For the sum of the α c d of blood each component,
I0(λ) is the incident light of the pulsatile arterial blood under wavelength X, and I (λ) is the emergent light of the pulsatile arterial blood under wavelength X, I λmax
For most strong emergent light under pulsatile arterial blood wavelength X, I λminFor most weak emergent light under pulsatile arterial blood wavelength X, ln is to be with e
Seek logarithm in bottom；After detection obtains dynamic spectrum；
According to the absorption coefficient alpha of known blood each componentiWith the equivalent optical path length d of pulsatile arterial blood, calculate each
The concentration c of componentj。
Further, data processing module receives each component concentration c in initial data, that is, blood of transmissionj, in conjunction with each
The molecular weight of component can calculate the quantity of each component, and the numerical value including neutrophil leucocyte and lymphocyte is removed with granulocyte
NLR is obtained with lymphocyte total amount；In conjunction with the multiple NLR data obtained in a period of time, by NLR and normal range (NR) section,
Lower limit and siding-to-siding block length are compared, and extracting the frequency that exception NLR occurs is NLR variable, according to NLR variable analysis body tumour
State, the data after obtaining final process；
The data processing method are as follows:
There are correlation, regression equations with NLR variable for Tumor incidence are as follows:
Y=1.432X-2.123；
R2=0.704；
Wherein, X is Tumor incidence, and Y is NLR variable, and NLR is the quantity N of neutrophil leucocyte and the quantity L of lymphocyte
Ratio, R2For degree of fitting, that is, equation accuracy, range 0-1, R2It is worth higher closer to 1 equation accuracy.
Further, it is somebody's turn to do the tumour prediction technique based on dynamic spectrum are as follows:
The near infrared light of several different wave lengths is excited by the light-splitting device in dynamic spectrum detection module, then receives each wave
Photoelectric sphyg wave corresponding to long emergent light, electrooptical device and analog-digital converter realize that light-electricity-digital signal turns
It changes, picks out I λmaxWith I λmin, I λmaxFor emergent light most strong under wavelength X, I λminFor emergent light most weak under wavelength X, formula is utilized
The concentration of various composition in blood is calculated, and is saved；After receiving data by data processing module, according to need
Suitable parameter is set, the ratio NLR both obtained by the quantity L of the quantity N of neutrophil leucocyte, lymphocyte, and with
Parameter carries out statistics comparison and then extracts its occurrence frequency when there is exceptional value, obtains NLR variable, utilizes regression equation
Y=1.432X-2.123
X is Tumor incidence, and Y is NLR variable, calculates Tumor incidence, and shown by display module as warning data
Show, obtains final conclusion.
Further, parameter setting and data method of calculating and analysis are as follows:
Grain leaching caused by suffering from after different tumours because of body is more different than (NLR) abnormal ranges, and this patent group is not for
The tumour of same type devises corresponding parameterized template, and (range of normal value, siding-to-siding block length, tester including NLR are examined from first
Change rate and mean value since survey etc.), for improving the specificity and sensibility of all types of tumours；First it is automatically loaded by computer
All parameterized templates simultaneously show selected parameter, and instrument user is according to detection target, the judgement of the own situation of tester
It is no to need to modify parameter setting, if it is not, then directly confirming, cancer screening is carried out at this time；If so, hand picking special parameter mould
Plate simultaneously loads, and carries out the detection of specific tumors, and computer will carry out data according to the parameter of confirmation and calculate and analyze.
Further, the method that display module shows conclusion are as follows:
After data processing module completes final calculating and interpretation of result, display module is started to work, and receives data simultaneously
Make the comparison of repeated detection data, if Testing index is normal, font color is green, if Testing index is abnormal, font face
Color is red；Statistical analysis is carried out using SPSS, carries out dynamic data trend figure description, shows interim testing result
Variation.
Further, it is somebody's turn to do the tumour predicted anomaly processing method based on dynamic spectrum are as follows:
After data processing module and display module receive the data of upper level module transfer, WIFi and company will be passed through respectively
It connects data line and generates detectable signal reverse transfer, automaticly inspect WiFi connection and whether each attachment is normal, if upper level module
Detectable signal cannot be received, then makees communication alarming prompt and connection warning note respectively；If normal, accurately come for data
Self-test person itself, if the abnormal variation for representing tester itself, display module makes warning at this time, is united with red label respectively
Exceptional value in credit analysis and data tendency chart is counted, and anomalous variation trend is recorded and analyzed according to exceptional value.
The present invention, which is surrounded, to be drenched with grain than predicting theory for the tumour of core, carries out the noninvasive inspection of blood constituent in conjunction with dynamic spectrum
It surveys, the ratio NLR of the two is obtained by the quantity L of the quantity N of neutrophil leucocyte, lymphocyte；In conjunction with a large amount of clinical datas
And resulting NLR is repeatedly measured, judge whether NLR is in the range of normal value, and NLR and normal range (NR) section is upper and lower
Limit and siding-to-siding block length are compared, and in conjunction with the multiple NLR data obtained in a period of time, extract the frequency of its exceptional value generation
NLR variable is obtained, the variable and Tumor incidence can carry out forecast analysis there are good correlation to tumour, equipment is simple,
It is easy to use, it can be achieved that Non-invasive detection and dynamic observation in real time.
Detailed description of the invention
Fig. 1 is the structural block diagram of the tumour prediction instrument provided in an embodiment of the present invention based on dynamic spectrum；
In figure: 1, dynamic spectrum detection module；2, data processing module；3, display module.
Fig. 2 is main program figure provided by the invention；
Fig. 3 is data calculating parameter setting subprogram provided by the invention.
Fig. 4 is display module operation program provided by the invention.
Fig. 5 is abnormality processing subprogram provided by the invention.
Fig. 6 is the statistical analysis figure of Tumor incidence provided by the invention Yu NLR variable；
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Fig. 1 is please referred to Fig. 6:
A kind of tumour prediction instrument based on dynamic spectrum, including dynamic spectrum detection module 1, data processing module 2, display
Module 3.
The blood component data transmission that the dynamic spectrum detection module 1 is used to detect the data of blood constituent and will test
To data processing module 2.
The data processing module 2 is used to receive the blood component data of dynamic spectrum detection module transmission and carries out data
Processing, by treated, data are transferred to display module 3.
The display module 3 processing module treated data and is shown for receiving data.
The dynamic spectrum detection module 1 includes light-splitting device, electrooptical device, modulus switching device and reservoir,
Above-mentioned device is sequentially connected, and realizes light-electricity-digital signal conversion.
The method of the dynamic spectrum detection module detection blood constituent are as follows:
The light-splitting device of dynamic spectrum inspires near infrared light, by irradiating the finger of patient, obtains a series of variations
The data of output intensity, what these data represented is the variation of photoelectric sphyg wave.
The pulsatile portion of arterial blood is that photoelectric sphyg wave is caused to change reason for it.Consider arteries fullness degree most
Low state, the not effect by pulsatile arterial blood of the incident light from light source, output intensity at this time most (are denoted as by force
Imax), it can be considered the incident light I of pulsatile arterial blood0；And the photoelectric sphyg trough point of arteries fullness degree highest state, i.e.,
At the time of the effect of pulsatile arterial blood is maximum, emergent light at this time is most weak (to be denoted as Imin).So being filled by recording artery to most
Greatly and absorbance when arterial contraction to minimum, so that it may eliminate skin histology, subcutaneous tissue etc. all with constant absorption spy
Influence of the human body component of point for absorbance, while also eliminating the influence of the brings such as light source, detector response curve.
According to Lambert-Beer's law, can obtain:
A in formulaλFor the pulsatile arterial blood absorbance under wavelength X, αiFor the absorptivity of blood each component, d fills for maximum
It is full of the equivalent optical path of pulsatile arterial blood under state, cjFor the concentration of each component,For the sum of the α c d of blood each component,
I0(λ) is the incident light of the pulsatile arterial blood under wavelength X, and I (λ) is the emergent light of the pulsatile arterial blood under wavelength X, I λmax
For most strong emergent light under pulsatile arterial blood wavelength X, I λminFor most weak emergent light under pulsatile arterial blood wavelength X, ln is to be with e
Seek logarithm in bottom；After detection obtains dynamic spectrum；
Electrooptical device in dynamic spectrum detection module receives photoelectric sphyg wave corresponding to multiple wavelength incident light,
Digital signal is obtained using the conversion of analog-digital converter, suitable parameter is recalled by data processing module and is compared, adjusts
And calculating, then the absorbance of corresponding pulsatile arterial blood can be obtained, to form spectrum.Spectrum is exactly merely by absorbance
Composition, after detection obtains dynamic spectrum, according to the absorption coefficient alpha of known blood each componentiIt is equivalent with pulsatile arterial blood
Optical length d calculates the concentration c of each componentj。
Data processing module receives each component concentration c in initial data, that is, blood of transmissionj, in conjunction with point of each component
Son amount, can calculate the quantity of each component, the numerical value including neutrophil leucocyte and lymphocyte is thin divided by lymph with granulocyte
Born of the same parents' total amount obtains NLR；In conjunction with the multiple NLR data obtained in a period of time, by NLR and normal range (NR) section upper and lower limit and area
Between length be compared, extract the frequency that exception NLR occurs and obtained according to NLR variable analysis body neoplastic state for NLR variable
Data after to final process；
The data processing module uses the formula based on grain leaching ratio, specifically:
There are correlation, regression equations with NLR variable for Tumor incidence are as follows:
Y=1.432X-2.123；
R2=0.704；
Wherein, X is Tumor incidence, and Y is that (NLR is the quantity N of neutrophil leucocyte and the quantity L of lymphocyte to NLR variable
Ratio), R2For degree of fitting, that is, equation accuracy, range 0-1, R2Value indicates that equation accuracy is higher closer to 1.
The tumour prediction technique based on dynamic spectrum are as follows:
The near infrared light of several different wave lengths is excited by the light-splitting device in dynamic spectrum detection module, then receives each wave
Photoelectric sphyg wave corresponding to long emergent light, electrooptical device and analog-digital converter realize that light-electricity-digital signal turns
It changes, picks out I λmaxWith I λmin, I λmaxFor emergent light most strong under wavelength X, I λminFor emergent light most weak under wavelength X, formula is utilized
The concentration of various composition in blood is calculated, and is saved；After receiving data by data processing module, according to need
Suitable parameter is set, the ratio NLR both obtained by the quantity L of the quantity N of neutrophil leucocyte, lymphocyte, and with
Parameter carries out statistics comparison and then extracts its occurrence frequency when there is exceptional value, obtains NLR variable, utilizes regression equation
Y=1.432X-2.123
X is Tumor incidence, and Y is NLR variable, calculates Tumor incidence, and shown by display module as warning data
Show, obtains final conclusion.
Parameter setting and data method of calculating and analysis are as follows:
Grain leaching caused by suffering from after different tumours because of body is more different than (NLR) abnormal ranges, and this patent group is not for
The tumour of same type devises corresponding parameterized template, and (range of normal value, siding-to-siding block length, tester including NLR are examined from first
Change rate and mean value since survey etc.), for improving the specificity and sensibility of all types of tumours；First it is automatically loaded by computer
All parameterized templates simultaneously show selected parameter, and instrument user is according to detection target, the judgement of the own situation of tester
It is no to need to modify parameter setting, if it is not, then directly confirming, cancer screening is carried out at this time；If so, hand picking special parameter mould
Plate simultaneously loads, and carries out the detection of specific tumors, and computer will carry out data according to the parameter of confirmation and calculate and analyze.
The method that display module shows conclusion are as follows:
After data processing module completes final calculating and interpretation of result, display module is started to work, and receives data simultaneously
Make the comparison of repeated detection data, if Testing index is normal, font color is green, if Testing index is abnormal, font face
Color is red；Statistical analysis is carried out using SPSS, carries out dynamic data trend figure description, shows interim testing result
Variation.
The tumour predicted anomaly processing method based on dynamic spectrum are as follows:
After data processing module and display module receive the data of upper level module transfer, WIFi and company will be passed through respectively
It connects data line and generates detectable signal reverse transfer, automaticly inspect WiFi connection and whether each attachment is normal, if upper level module
Detectable signal cannot be received, then makees communication alarming prompt and connection warning note respectively；If normal, accurately come for data
Self-test person itself, if the abnormal variation for representing tester itself, display module makes warning at this time, is united with red label respectively
Exceptional value in credit analysis and data tendency chart is counted, and anomalous variation trend is recorded and analyzed according to exceptional value.
Below with reference to table 1,2,3, the present invention is further described.
1 model of table summarizes
| R | R2 | Adjust R2 | The standard error of estimated value |
| 0.839 | 0.704 | 0.700 | 1.101 |
Independent variable is incidence.
2 ANOVA of table
Independent variable is incidence.
3 coefficient of table
Tumour of the present invention based on grain leaching ratio predicts theory, carries out tumour in combination with blood constituent Non-invasive detection technology
Prevention carries out prediction point to tumour by the ratio NLR of the quantity N of neutrophil leucocyte, the quantity L of lymphocyte and the two
Analysis, equipment is simple, easy to use, can real-time implementation Non-invasive detection.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (2)
1. a kind of tumour prediction instrument based on dynamic spectrum, which is characterized in that the tumour prediction instrument packet based on dynamic spectrum
It includes:
Dynamic spectrum detection module, for detecting blood component data and the blood component data that will test is transferred to data processing
Module；
Data processing module is connect by WiFi with dynamic spectrum detection module, for receiving the transmission of dynamic spectrum detection module
Blood component data and carry out data processing, will treated that data are transferred to display module；
Display module is connect by WiFi with data processing module, and treated that data are gone forward side by side for processing module for receiving data
Row display；
Dynamic spectrum detection module obtains the original number that the spectrum of blood constituent is the initial data of blood constituent, and will test
According to being stored and transmitted；
The method of the dynamic spectrum detection module detection blood constituent are as follows:
The light-splitting device of dynamic spectrum detection module inspires near-infrared incident light, by irradiating the finger of patient, is changed
Outgoing light data obtained according to Lambert-Beer's law:
A in formulaλFor the pulsatile arterial blood absorbance under wavelength X, αiFor the absorptivity of blood each component, i indicates blood each group
Point；D is the equivalent optical path of pulsatile arterial blood under maximum expanded state, ciFor the concentration of each component,For blood each group
The a dividedi, ci, the sum of d, I0(λ) is the incident light of the pulsatile arterial blood under wavelength X, and I (λ) is the pulsatile arterial blood under wavelength X
The emergent light of liquid,For most strong emergent light under pulsatile arterial blood wavelength X,For under pulsatile arterial blood wavelength X most it is weak go out
Light is penetrated, ln is to seek logarithm the bottom of by of e；After detection obtains dynamic spectrum；According to the absorption coefficient alpha of known blood each componenti
With the equivalent optical path length d of pulsatile arterial blood, the concentration c of each component is calculatedi；
Data processing module receives each component concentration c in initial data, that is, blood of transmissioni, in conjunction with the molecular weight of each component,
The quantity for calculating each component, the quantity including neutrophil leucocyte and lymphocyte are thin divided by lymph with neutrophil leucocyte quantity
Born of the same parents' quantity show that grain drenches ratio；In conjunction with obtained in a period of time multiple leaching than data, by grain leaching than on normal range (NR) section,
Lower limit and siding-to-siding block length are compared, and extracting abnormal grain leaching than the frequency of appearance is that grain is drenched than variable, according to grain leaching than variable point
Analyse body neoplastic state, the data after obtaining final process；
The data processing module uses the formula based on grain leaching ratio, data processing method are as follows:
Than variable, there are correlation, regression equations with grain leaching for Tumor incidence are as follows:
Y=1.432X-2.123；
R2=0.704；
Wherein, X is Tumor incidence, and Y is that grain is drenched than variable, and grain leaching is than being the quantity N of neutrophil leucocyte and the number of lymphocyte
Measure the ratio of L, R2For degree of fitting, that is, equation accuracy, range 0-1, R2It is worth higher closer to 1 equation accuracy.
2. the tumour prediction instrument based on dynamic spectrum as described in claim 1, which is characterized in that the dynamic spectrum detects mould
Block includes light-splitting device, electrooptical device, modulus switching device and reservoir；
Light-splitting device, for exciting and adjusting the near-infrared incident light of irradiation human body；
Electrooptical device is connect by optical fiber with light-splitting device, for receive after irradiation human body obtained emergent light and by its
It is converted into electric signal；
Analog-digital converter is connect by optical fiber with electrooptical device, for receiving the electric signal of electrooptical device transmission, and
It is converted into digital signal；
Reservoir is connect by data line with analog-digital converter, for storing digital signal and being passed by Wi-Fi to data
It is defeated.
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| CN109589106B (en) * | 2018-10-19 | 2021-06-29 | 天津大学 | Equal-difference-distance dynamic spectrum difference value extraction method |
| CN110192866A (en) * | 2019-04-28 | 2019-09-03 | 上海爱德赞医疗科技有限公司 | The monitoring method and equipment of noninvasive capillary arterial blood concentration of component |
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