CN111466920A - Method and device for noninvasive physical examination - Google Patents

Method and device for noninvasive physical examination Download PDF

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CN111466920A
CN111466920A CN202010297102.XA CN202010297102A CN111466920A CN 111466920 A CN111466920 A CN 111466920A CN 202010297102 A CN202010297102 A CN 202010297102A CN 111466920 A CN111466920 A CN 111466920A
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physical examination
temperature
index
parameter value
compensation parameter
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CN111466920B (en
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周瑜
徐帅杰
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/01Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14546Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring analytes not otherwise provided for, e.g. ions, cytochromes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02Operational features
    • A61B2560/0242Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0252Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02Operational features
    • A61B2560/0242Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0257Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using atmospheric pressure
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention provides a method and a device for non-invasive physical examination, wherein the method for non-invasive physical examination comprises the following steps: collecting body surface temperature values of the physical examination object according to preset temperature collection points to obtain body surface temperature values corresponding to the temperature collection points; acquiring temperature acquisition point parameters contained in a body temperature conversion formula according to the body temperature conversion formula mapped by preset target physical examination indexes; and applying the body surface temperature values corresponding to the temperature acquisition point parameters to the body temperature conversion formula from the obtained body surface temperature values corresponding to the temperature acquisition points, and calculating the index value of the target physical examination index. Like this, through the body surface temperature value of gathering the physical examination object, utilize the body temperature conversion formula that target physical examination index maps, convert the body surface temperature value of gathering into the index value of target physical examination index, carry out the non-invasive physical examination to the physical examination object, can improve the efficiency of physical examination effectively.

Description

Method and device for noninvasive physical examination
Technical Field
The invention relates to the technical field of medical physical examination, in particular to a method and a device for non-invasive physical examination.
Background
With the increasing health awareness of people, more and more people choose to conduct physical examination regularly so as to know the health condition of the people in time. The traditional physical examination method needs to perform detection of various physical examination indexes under the guidance of doctors in hospitals, such as blood sampling, X-ray film detection, urine sample detection, endoscope detection and the like, most of the detection is invasive detection, a physical examination object performs a comprehensive physical examination by the invasive detection method, and generally about two weeks is needed to receive a physical examination report. Such a physical examination method needs to consume a lot of time for the physical examination object, resulting in low physical examination efficiency, and therefore how to improve the physical examination efficiency becomes a technical problem which needs to be solved urgently in the technical field of medical physical examination at present.
The conventional method can perform non-invasive detection of blood components of a subject by analyzing a reflectance spectrum of a measurement site by using a spectroscopic analysis technique, and the non-invasive detection method is mainly used for detecting blood physical examination indexes such as blood glucose level and blood oxygen saturation of the subject, and therefore the number of physical examination indexes that can be detected by using the non-invasive detection method is limited. Compared with the conventional physical examination method, the physical examination method shortens the time required for physical examination, but the number of physical examination indexes which can be detected is small, so that the efficiency of the physical examination cannot be effectively improved.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for non-invasive physical examination to improve the efficiency of physical examination.
In a first aspect, an embodiment of the present invention provides a method for noninvasive physical examination, where the method includes:
collecting body surface temperature values of the physical examination object according to preset temperature collection points to obtain body surface temperature values corresponding to the temperature collection points;
acquiring temperature acquisition point parameters contained in a body temperature conversion formula according to the body temperature conversion formula mapped by preset target physical examination indexes;
and applying the body surface temperature values corresponding to the temperature acquisition point parameters to the body temperature conversion formula from the obtained body surface temperature values corresponding to the temperature acquisition points, and calculating the index value of the target physical examination index.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the temperature collection point includes:
a left carotid artery temperature collection point, a right carotid artery temperature collection point, a left arm artery temperature collection point, a right arm artery temperature collection point, a left axillary temperature collection point, a right axillary temperature collection point, and an umbilical artery temperature collection point.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the body temperature conversion formula includes: the temperature acquisition point temperature measurement system comprises a constant, a sample parameter value operator formula, a compensation parameter value operator formula and a body temperature conversion calculation sub formula, wherein an independent variable in the body temperature conversion calculation sub formula is the temperature acquisition point parameter.
With reference to the second possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where calculating a sample parameter value by using the sample parameter value calculating operator formula includes:
for each sample parameter contained in the sample parameter value calculating operator formula, obtaining a sample parameter value corresponding to the sample parameter from a sample population with a normal index value of the target physical examination index;
and calculating the average value of the sample parameter values corresponding to the sample parameters to obtain the sample parameter values.
With reference to the second possible implementation manner of the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where calculating a compensation parameter value by using the compensation parameter value calculating operator formula includes:
for each age compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a variation curve of the index value of the target physical examination index along with the increase of the age of the sample population from the sample population with the normal index value of the target physical examination index;
according to the obtained change curve, calculating age compensation parameter values corresponding to all ages to obtain an age compensation parameter value list, wherein the age compensation parameter value list comprises a plurality of rows corresponding to all ages;
according to the age of the current physical examination object, identifying the age matched with the age of the current physical examination object from the age compensation parameter value list, and obtaining the age compensation parameter value corresponding to the age.
With reference to the second possible implementation manner of the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where calculating a compensation parameter value by using the compensation parameter value calculating operator formula further includes:
for each environmental compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a curve of the index value of the target physical examination index changing along with the physical examination environment of the sample population from the sample population with the normal index value of the target physical examination index;
calculating an environment compensation parameter value corresponding to each physical examination environment according to the acquired curve to obtain an environment compensation parameter value list, wherein the environment compensation parameter value list comprises a plurality of columns corresponding to the physical examination environments;
and identifying the physical examination environment matched with the physical examination environment of the current physical examination object from the environment compensation parameter value list according to the physical examination environment of the current physical examination object, and obtaining the environment compensation parameter value corresponding to the physical examination environment.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the method further includes:
and generating a physical examination report according to the calculated index values of the target physical examination indexes, and displaying the physical examination report to the current physical examination object.
In a second aspect, an embodiment of the present invention further provides an apparatus for noninvasive physical examination, where the apparatus includes:
the temperature acquisition module is used for acquiring body surface temperature values of the physical examination object according to preset temperature acquisition points to obtain body surface temperature values corresponding to the temperature acquisition points;
the data acquisition module is used for acquiring temperature acquisition point parameters contained in a body temperature conversion formula according to the body temperature conversion formula mapped by a preset target physical examination index;
and the index value calculation module is used for applying the body surface temperature values corresponding to the temperature acquisition point parameters to the body temperature conversion formula from the obtained body surface temperature values corresponding to the temperature acquisition points to calculate the index value of the target physical examination index.
Optionally, the temperature collection points in the temperature collection module comprise:
a left carotid artery temperature collection point, a right carotid artery temperature collection point, a left arm artery temperature collection point, a right arm artery temperature collection point, a left axillary temperature collection point, a right axillary temperature collection point, and an umbilical artery temperature collection point.
Optionally, the body temperature conversion formula in the data acquisition module includes:
the temperature acquisition point temperature measurement system comprises a constant, a sample parameter value operator formula, a compensation parameter value operator formula and a body temperature conversion calculation sub formula, wherein an independent variable in the body temperature conversion calculation sub formula is the temperature acquisition point parameter.
Optionally, the index value calculation module is specifically configured to:
for each sample parameter contained in the sample parameter value calculating operator formula, obtaining a sample parameter value corresponding to the sample parameter from a sample population with a normal index value of the target physical examination index;
and calculating the average value of the sample parameter values corresponding to the sample parameters to obtain the sample parameter values.
Optionally, the index value calculation module is further specifically configured to:
for each age compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a variation curve of the index value of the target physical examination index along with the increase of the age of the sample population from the sample population with the normal index value of the target physical examination index;
according to the obtained change curve, calculating age compensation parameter values corresponding to all ages to obtain an age compensation parameter value list, wherein the age compensation parameter value list comprises a plurality of rows corresponding to all ages;
according to the age of the current physical examination object, identifying the age matched with the age of the current physical examination object from the age compensation parameter value list, and obtaining the age compensation parameter value corresponding to the age.
Optionally, the index value calculation module is further specifically configured to:
for each environmental compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a curve of the index value of the target physical examination index changing along with the physical examination environment of the sample population from the sample population with the normal index value of the target physical examination index;
calculating an environment compensation parameter value corresponding to each physical examination environment according to the acquired curve to obtain an environment compensation parameter value list, wherein the environment compensation parameter value list comprises a plurality of columns corresponding to the physical examination environments;
and identifying the physical examination environment matched with the physical examination environment of the current physical examination object from the environment compensation parameter value list according to the physical examination environment of the current physical examination object, and obtaining the environment compensation parameter value corresponding to the physical examination environment.
Optionally, the apparatus further comprises:
and the report generation module is used for generating a physical examination report according to the calculated index values of the target physical examination indexes and displaying the physical examination report to the current physical examination object.
In a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the above-mentioned method for noninvasive medical examination.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, performs the steps of the method for noninvasive medical examination described above.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the method for the noninvasive physical examination, firstly, body surface temperature values of seven temperature collection points of a physical examination object are collected according to preset temperature collection points, and then the collected body surface temperature values are substituted into a body temperature conversion formula corresponding to each target physical examination index to obtain the index value of each target physical examination index. Wherein the selected temperature collection points comprise: the carotid artery, the umbilical artery, the arm artery and the armpit are adopted, so that the artery temperature can reflect the blood circulation condition of the whole body, the umbilical temperature can reflect the operation condition of organs such as the spleen and the stomach, the armpit temperature can represent the average body temperature of a human body, and one target physical examination index corresponds to one body temperature conversion formula.
Further, due to the method of the non-invasive physical examination, invasive detection such as blood drawing is not needed to be carried out on the physical examination objects, cross infection among the physical examination objects can be avoided, the time for collecting body surface temperature values is short, a physical examination report is available in real time, the time for physical examination can be shortened, and the efficiency of the physical examination is effectively improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 shows a schematic flow diagram of a method of non-invasive physical examination provided by an embodiment of the invention;
FIG. 2 is a flow chart illustrating a method for calculating an indicator value of a target physical examination indicator according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for calculating an index value of a pulmonary gas exchange surface area according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for non-invasive medical examination provided by an embodiment of the invention;
fig. 5 is a schematic structural diagram of a computer device 500 according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
As the body temperature is one of the important indexes for measuring the health of human bodies, the body temperature can directly reflect the basic metabolism condition of the human bodies, and scientific researches show that the immunity of the human bodies can be reduced by 30 to 40 percent when the body temperature of the human bodies is reduced by 0.5 degree. Therefore, the embodiments of the present invention provide a method and an apparatus for non-invasive physical examination, which are described below with reference to the embodiments.
Example one
Fig. 1 is a schematic flow chart of a method for noninvasive medical examination according to an embodiment of the present invention, which includes steps S101-S103; specifically, the method comprises the following steps:
s101, collecting body surface temperature values of the physical examination object according to preset temperature collecting points to obtain body surface temperature values corresponding to the temperature collecting points.
In the embodiment of the present application, as an optional embodiment, the temperature collection point includes:
a left carotid artery temperature collection point, a right carotid artery temperature collection point, a left arm artery temperature collection point, a right arm artery temperature collection point, a left axillary temperature collection point, a right axillary temperature collection point, and an umbilical artery temperature collection point.
Illustratively, the temperature acquisition sensors, such as a DS18B20 digital temperature acquisition sensor, a thermistor analog temperature acquisition sensor, and a thermal infrared temperature acquisition sensor, can be used to acquire the left carotid artery temperature, the right carotid artery temperature, the left arm artery temperature, the right arm artery temperature, the left underarm temperature, the right underarm temperature, and the umbilical artery temperature of the physical examination object.
It should be noted that, because the principle of the arterial temperature collection is similar, the positions of the arterial temperature collection points include, but are not limited to, the carotid artery and the arm artery, for example, the leg arterial temperature collection points may be used to replace the arm arterial temperature collection points, and in the replacement process, the replacement between the arterial temperature collection points can be realized only by increasing the corresponding temperature compensation coefficients.
S102, acquiring temperature acquisition point parameters contained in a body temperature conversion formula according to the body temperature conversion formula mapped by preset target physical examination indexes.
In this embodiment, as an optional embodiment, the body temperature conversion formula includes: the temperature acquisition point temperature measurement system comprises a constant, a sample parameter value operator formula, a compensation parameter value operator formula and a body temperature conversion calculation sub formula, wherein an independent variable in the body temperature conversion calculation sub formula is the temperature acquisition point parameter.
Exemplary illustrations, for example, follow the physical examination index: for example, the body temperature conversion formula for hemoglobin content index mapping is as follows:
Figure BDA0002452600240000091
KHbis the hemoglobin content index, and the unit is g/L;
3.405 is a constant with the physical meaning: translational kinetic energy of one mole of oxygen at 0 degrees celsius, unit: KJ/mol;
32.0 is a constant with the physical meaning: molar mass of oxygen, unit: g/mol;
VO2is a sample parameter value operator formula, and the physical meaning is as follows: average of the oxygen root mean square velocity, in units, of a sample population with normal hemoglobin content index at 0 degrees celsius under standard atmospheric pressure: m/s;
LCis a sample parameter value operator formula, and the physical meaning is as follows: mean value of the diameters of the erythrocytes of a sample population with a normal hemoglobin content index, in units: m;
tabis a body temperature conversion calculation sub formula, and the physical meaning is as follows: the ratio of the umbilical artery temperature of the physical examination object to the average value of the carotid artery temperatures on the left side and the right side, unit: k;
Purthe physical meaning of the operator formula is the average value of the ratio of urine to body fluid of a sample population with normal hemoglobin content index, and the unit is g/L;
∑ Kn is an operator formula of compensation parameter value, and the physical meaning is the sum of each compensation parameter value;
the body temperature conversion calculation sub formula contained in the body temperature conversion formula mapped by the hemoglobin content index is as follows:
Figure BDA0002452600240000101
wherein, TgIs a temperature collection point parameter, and the physical meaning is as follows: an umbilical artery temperature value of the subject; t isaIs a temperature collection point parameter, and the physical meaning is as follows: a left carotid temperature value of the subject; t isbIs a temperature collection point parameter, and the physical meaning is as follows: a right carotid temperature value of the subject; according to the body temperature conversion sub-formula, the temperature acquisition point parameters contained in the body temperature conversion formula mapped by the hemoglobin content index can be obtained.
S103, applying the body surface temperature values corresponding to the temperature acquisition point parameters to the body temperature conversion formula from the obtained body surface temperature values corresponding to the temperature acquisition points, and calculating the index value of the target physical examination index.
FIG. 2 is a flowchart illustrating a method for calculating an indicator value of a target physical examination indicator according to an embodiment of the present invention, which includes steps S201-S204; specifically, the method comprises the following steps:
s201, calculating a sample parameter value by using the sample parameter value calculation operator formula.
In this embodiment, as an optional embodiment, calculating the sample parameter value by using the sample parameter value calculation operator formula includes:
for each sample parameter contained in the sample parameter value calculating operator formula, obtaining a sample parameter value corresponding to the sample parameter from a sample population with a normal index value of the target physical examination index;
and calculating the average value of the sample parameter values corresponding to the sample parameters to obtain the sample parameter values.
Exemplary illustrations, for example, follow the physical examination index: for example, as shown in the above exemplary case, the sample parameter value calculation operator formula included in the body temperature conversion formula of the hemoglobin content index map is as follows:
Figure BDA0002452600240000102
Figure BDA0002452600240000103
Figure BDA0002452600240000104
wherein, V1Is the oxygen root mean square velocity, unit, of sample 1 with normal hemoglobin content index at 0 degrees centigrade standard atmospheric pressure: m/s;
L1is the red blood cell diameter of sample 1, unit: m;
P1is urine and body fluid of the sample 1The unit of the ratio of (A) to (B) is g/L;
n is the total number of samples;
operator formula L with sample parameter valueCFor example, the erythrocyte diameter value of L is obtained from the population of samples with normal hemoglobin content index1、L2…LnCalculating the average of the red blood cell diameter values of the sample population to obtain a sample parameter LCThe value of (c).
And S202, calculating a compensation parameter value by using the compensation parameter value calculation operator formula.
In this embodiment, as an optional embodiment, calculating the compensation parameter value by using the compensation parameter value operator formula includes:
for each age compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a variation curve of the index value of the target physical examination index along with the increase of the age of the sample population from the sample population with the normal index value of the target physical examination index;
according to the obtained change curve, calculating age compensation parameter values corresponding to all ages to obtain an age compensation parameter value list, wherein the age compensation parameter value list comprises a plurality of rows corresponding to all ages;
according to the age of the current physical examination object, identifying the age matched with the age of the current physical examination object from the age compensation parameter value list, and obtaining the age compensation parameter value corresponding to the age.
For example, taking the physical examination indicator hemoglobin content as an example, as shown in the above example, the compensation parameter value operator formula included in the body temperature conversion formula mapped by the hemoglobin content indicator is ∑ Kn, if n is 6, where K1, K2, and K3 are age compensation parameters, K4, K5, and K6 are environment compensation parameters, and if n is 6, as an alternative, K1 may be a ratio of age to hemoglobin content, obtaining an age and hemoglobin content index value of each sample from a sample population with normal hemoglobin content index, taking the age of the sample as an x axis and the hemoglobin content index value of the sample as a y axis, drawing a variation curve of the hemoglobin content index value with the increase of the value of the sample population as a first variation curve, obtaining a hemoglobin content index average value of each sample, drawing a variation curve of the hemoglobin content index average value with the increase of the sample population as a second variation curve, obtaining a slope curve of the first variation curve with the hemoglobin content index value corresponding to the age compensation parameter, and obtaining a slope of the second compensation parameter value corresponding to the age compensation parameter, and obtaining a slope of the compensation parameter corresponding to the second variation curve corresponding to the age compensation parameter, and obtaining a corresponding to the slope of the age compensation parameter, wherein:
age (age) 0 1 2 n
K1 a×M0 a×M1 a×M2 a×Mn
TABLE 1
If the age of the current physical examination object is 23 years old, the value of the age compensation parameter K1 corresponding to the current physical examination object is a × M23.
In this embodiment, as an optional embodiment, the calculating a compensation parameter value by using the compensation parameter value operator formula further includes:
for each environmental compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a curve of the index value of the target physical examination index changing along with the physical examination environment of the sample population from the sample population with the normal index value of the target physical examination index;
calculating an environment compensation parameter value corresponding to each physical examination environment according to the acquired curve to obtain an environment compensation parameter value list, wherein the environment compensation parameter value list comprises a plurality of columns corresponding to the physical examination environments;
and identifying the physical examination environment matched with the physical examination environment of the current physical examination object from the environment compensation parameter value list according to the physical examination environment of the current physical examination object, and obtaining the environment compensation parameter value corresponding to the physical examination environment.
For example, taking the physical examination index hemoglobin content as an example, as shown in the above example, the compensation parameter value operator formula included in the body temperature conversion formula mapped by the hemoglobin content index is ∑ Kn, if n is 6, where K1, K2, and K3 are age compensation parameters, K4, K5, and K6 are environment compensation parameters, and if n is 6, as an alternative, K4 may have a physical meaning that the difference between the atmospheric pressure of the current physical examination environment and the standard atmospheric pressure is obtained as an environment compensation parameter, the index value of the physical examination environment and the hemoglobin content of each sample is obtained from a population of samples with normal hemoglobin content index, the index value of the physical examination environment of the sample and the index value of the hemoglobin content of the sample are taken as an x axis, the index value of the hemoglobin content of the sample is taken as a y axis, a curve with the hemoglobin content changing with the atmospheric pressure difference is drawn as a third change curve, the index value of each sample under the standard atmospheric pressure is obtained as an index value of the sample under the standard atmospheric pressure, the sample has a fourth compensation parameter value curve, and the corresponding to the fourth compensation parameter value curve obtained as a fourth compensation curve, and the corresponding to the same compensation parameter value of the environmental compensation parameter, the environmental compensation parameter value of the same as a fourth compensation curve, the curve obtained as a fourth compensation curve, and the third change curve, where the curve, the curve corresponding to the curve of the curve corresponding:
physical examination region Beijing Shanghai province Guangzhou province Yunnan province
K4 b×P0 b×P1 b×P2 b×Pn
TABLE 2
If the physical examination region of the current physical examination object is Shanghai city, the value of the environmental compensation parameter K4 corresponding to the current physical examination object is b × P1.
And S203, applying the body surface temperature value corresponding to the temperature acquisition point parameter to the body temperature conversion formula by using the body temperature conversion calculation sub-formula.
Exemplary illustrations, for example, follow the physical examination index: for example, as shown in the above exemplary case, the body temperature conversion calculation sub-formula included in the body temperature conversion formula of the hemoglobin content index map is as follows:
Figure BDA0002452600240000141
wherein, TgIs a temperature collection point parameter, and the physical meaning is as follows: an umbilical artery temperature value of the subject; t isaIs a temperature collection point parameter, and the physical meaning is as follows: a left carotid temperature value of the subject; t isbIs a temperature collection point parameter, and the physical meaning is as follows: a right carotid temperature value of the subject;
if the umbilical artery temperature value of the current physical examination object is T1, the left carotid artery temperature value is T2, and the right carotid artery temperature value is T3, then it can be calculated as follows:
Figure BDA0002452600240000142
will calculate the obtained tabSubstituting the values, the sample parameter values and the compensation parameter values into a body temperature conversion formula mapped by the hemoglobin content index to obtain the index value of the hemoglobin content of the current physical examination object.
In this embodiment, as an optional embodiment, the method further includes:
and generating a physical examination report according to the calculated index values of the target physical examination indexes, and displaying the physical examination report to the current physical examination object.
For example, the index values of the target physical examination indexes of the acquired physical examination object Y are classified and sorted according to the body organ regions to which the target physical examination indexes belong, as an optional embodiment, the target physical examination indexes with abnormal index values are highlighted, the physical examination results are pushed to a professional, a physical examination report is generated according to the judgment of the professional, and the generated physical examination report is pushed to the physical examination object Y.
Example two
FIG. 3 is a flowchart illustrating a method for calculating an index value of a pulmonary gas exchange surface area according to an embodiment of the present invention; the method comprises steps S301-S304; specifically, the method comprises the following steps:
s301 is the same as S101, and is not described herein again.
S302, calculating a sample parameter value of the lung gas exchange surface area by using a sample parameter value calculation operator formula of the lung gas exchange surface area.
Exemplary illustrations, for example, the body temperature conversion formula for pulmonary gas exchange surface area mapping is:
Figure BDA0002452600240000151
wherein S isluIs the lung gas exchange surface area, in units: square meter;
Sais a sample parameter value operator formula, and the physical meaning is as follows: mean value of pulmonary gas exchange surface area index values at standard atmospheric pressure for a sample population with normal pulmonary gas exchange surface area index values, in units: square meter;
T1is the left underarm temperature value, in units: k;
T2is the right carotid temperature value, in units: k;
T3is the right underarm temperature value, in units: k;
T4is the left carotid temperature value, in units: k;
T5is the left arm artery temperature value, unit: k;
T6is the right arm artery temperature value, unit: k;
m is a compensation parameter value calculation operator formula used for compensating the calculation error of the lung gas exchange surface index value caused by the age difference of the physical examination objects;
p is a compensation parameter value calculation operator formula used for compensating the calculation error of the lung gas exchange surface area index value caused by the air pressure difference of the physical examination environment;
sample parameter value operator formula:
Figure BDA0002452600240000161
obtaining the index value of the pulmonary gas exchange surface area under the standard atmospheric pressure of each sample from the sample population with the normal index value of the pulmonary gas exchange surface area: s1、S2…SnCalculating the average value of the index values of the lung gas exchange surface area of the sample population to obtain a sample parameter SaThe value of (c).
S303, calculating the compensation parameter value of the lung gas exchange surface area by using the compensation parameter value calculation operator formula of the lung gas exchange surface area.
For example, the age of each sample and the pulmonary gas exchange surface area index value are obtained from a sample population with a normal pulmonary gas exchange surface area index, a variation curve of the pulmonary gas exchange surface area index value along with the increase of the age of the sample population is drawn by taking the age of the sample as an x axis and the pulmonary gas exchange surface area index value of the sample as a y axis and is denoted as a fifth variation curve, the average value of the pulmonary gas exchange surface area index of each age can be obtained, a variation curve of the average value of the pulmonary gas exchange surface area index along with the increase of the age of the sample population is drawn and is denoted as a sixth variation curve, by curve fitting, if the slope of the curve when the similarity between the fifth variation curve and the sixth variation curve is the highest is obtained is 0.1, the compensation parameter operator formula M corresponding to each age is obtained, the slope value Mb corresponding to the age is obtained from the sixth variation curve, taking the product of the obtained slope value Mb and 0.1 as the value of the compensation parameter value operator formula M corresponding to the age, to obtain a compensation parameter value list corresponding to M, as shown in table 3 below:
age (age) 0 1 2 n
M 0.1×Mb0 0.1×Mb1 0.1×Mb2 0.1×Mbn
TABLE 3
Illustratively, for example, if the value of the pressure of the physical examination environment and the value of the pulmonary gas exchange surface area index of each sample are obtained from a sample population with a normal pulmonary gas exchange surface area index, the value of the pressure difference between the pressure of the physical examination environment of each sample and the standard atmospheric pressure is taken as an x-axis, the value of the pulmonary gas exchange surface area index of each sample is taken as a y-axis, a curve of the pulmonary gas exchange surface area index of each sample with the change of the pressure difference of the sample population is drawn and is denoted as a seventh change curve, the value of the pulmonary gas exchange surface area index of each sample under the standard atmospheric pressure is obtained, a change curve of the pulmonary gas exchange surface area index of each sample under the standard atmospheric pressure is drawn and is denoted as an eighth change curve, and by curve fitting, if the slope of the curve when the similarity between the seventh change curve and the eighth change curve is the highest is obtained is 0.01, the compensation parameter value calculation operator formula, obtaining a pressure difference value (P-760) between the pressure value of the physical examination environment and the standard atmospheric pressure from the seventh variation curve, wherein 760 is in mmhg, 1 standard atmospheric pressure is equal to 760 mmhg, and taking a product of the obtained pressure difference value (P-760) and 0.01 as a value of a compensation parameter value operator formula P corresponding to the pressure value of the physical examination environment, where, as an alternative embodiment, it may be determined that the same physical examination region has the same pressure value according to the physical examination region, and a compensation parameter value list corresponding to P is obtained, as shown in table 4 below:
Figure BDA0002452600240000171
TABLE 4
S304, applying the obtained body surface temperature values corresponding to the temperature acquisition points, the sample parameter values and the compensation parameter values to a body temperature conversion formula of lung gas exchange surface area mapping, and calculating index values of the lung gas exchange surface area.
For example, if the body surface temperature value of a physical examination object a of 25 years old in a physical examination in beijing city: the average value of the lung gas exchange surface area index values of the sample population calculated from the sample population with normal lung gas exchange surface area indexes is 3000 square meters, so that the sample parameter value S is a sample parameter value SaIs 3000 square meters, and since the subject A is 25 years old, it can be seen from Table 3 that the compensation parameter value M corresponding to the age of the subject A is 0.1 × Mb25Since the physical examination location of the physical examination object a is beijing, it can be seen from table 4 that the compensation parameter value P corresponding to the physical examination environment of the physical examination object a is 0.01 × (P0760) and calculating an index value S of the pulmonary gas exchange surface area of the physical examination object A according to a body temperature conversion formula of the pulmonary gas exchange surface area mapluComprises the following steps:
Figure BDA0002452600240000181
EXAMPLE III
Fig. 4 is a schematic structural diagram of an apparatus for non-invasive medical examination according to an embodiment of the present invention, the apparatus including:
the temperature acquisition module 401 is configured to acquire a body surface temperature value of the physical examination object according to preset temperature acquisition points to obtain body surface temperature values corresponding to the temperature acquisition points;
in this embodiment, as an optional embodiment, the temperature collection point in the temperature collection module 401 includes:
a left carotid artery temperature collection point, a right carotid artery temperature collection point, a left arm artery temperature collection point, a right arm artery temperature collection point, a left axillary temperature collection point, a right axillary temperature collection point, and an umbilical artery temperature collection point.
A data obtaining module 402, configured to obtain a temperature acquisition point parameter included in a body temperature conversion formula according to the body temperature conversion formula mapped by a preset target physical examination indicator;
in this embodiment, as an optional embodiment, the body temperature conversion formula in the data obtaining module 402 includes:
the temperature acquisition point temperature measurement system comprises a constant, a sample parameter value operator formula, a compensation parameter value operator formula and a body temperature conversion calculation sub formula, wherein an independent variable in the body temperature conversion calculation sub formula is the temperature acquisition point parameter.
An index value calculation module 403, configured to apply the body surface temperature values corresponding to the temperature acquisition point parameters to the body temperature conversion formula from the obtained body surface temperature values corresponding to the temperature acquisition points, and calculate an index value of the target physical examination index.
In this embodiment, as an optional embodiment, the index value calculating module 403 is specifically configured to:
for each sample parameter contained in the sample parameter value calculating operator formula, obtaining a sample parameter value corresponding to the sample parameter from a sample population with a normal index value of the target physical examination index;
and calculating the average value of the sample parameter values corresponding to the sample parameters to obtain the sample parameter values.
In this embodiment, as an optional embodiment, the index value calculating module 403 is further specifically configured to:
for each age compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a variation curve of the index value of the target physical examination index along with the increase of the age of the sample population from the sample population with the normal index value of the target physical examination index;
according to the obtained change curve, calculating age compensation parameter values corresponding to all ages to obtain an age compensation parameter value list, wherein the age compensation parameter value list comprises a plurality of rows corresponding to all ages;
according to the age of the current physical examination object, identifying the age matched with the age of the current physical examination object from the age compensation parameter value list, and obtaining the age compensation parameter value corresponding to the age.
In this embodiment, as an optional embodiment, the index value calculating module 403 is further specifically configured to:
for each environmental compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a curve of the index value of the target physical examination index changing along with the physical examination environment of the sample population from the sample population with the normal index value of the target physical examination index;
calculating an environment compensation parameter value corresponding to each physical examination environment according to the acquired curve to obtain an environment compensation parameter value list, wherein the environment compensation parameter value list comprises a plurality of columns corresponding to the physical examination environments;
and identifying the physical examination environment matched with the physical examination environment of the current physical examination object from the environment compensation parameter value list according to the physical examination environment of the current physical examination object, and obtaining the environment compensation parameter value corresponding to the physical examination environment.
In this embodiment, as an optional embodiment, the apparatus further includes:
and a report generation module (not shown in the figure) for generating a physical examination report according to the calculated index values of the target physical examination indexes, and displaying the physical examination report to the current physical examination object.
Example four
As shown in fig. 5, an embodiment of the present application provides a computer device 500 for performing the method of non-invasive physical examination in the present application, the device includes a memory 501, a processor 502 and a computer program stored in the memory 501 and executable on the processor 502, wherein the processor 502 implements the steps of the method of non-invasive physical examination when executing the computer program.
Specifically, the memory 501 and the processor 502 may be general-purpose memory and processor, which are not limited in particular, and the processor 502 can execute the method of noninvasive examination when executing the computer program stored in the memory 501.
Corresponding to the method of non-invasive physical examination in the present application, the present application also provides a computer readable storage medium, on which a computer program is stored, which, when executed by a processor, performs the steps of the method of non-invasive physical examination described above.
In particular, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, etc., on which a computer program can be executed to perform the above-mentioned method for non-invasive physical examination.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and there may be other divisions in actual implementation, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of systems or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of non-invasive physical examination, the method comprising:
collecting body surface temperature values of the physical examination object according to preset temperature collection points to obtain body surface temperature values corresponding to the temperature collection points;
acquiring temperature acquisition point parameters contained in a body temperature conversion formula according to the body temperature conversion formula mapped by preset target physical examination indexes;
and applying the body surface temperature values corresponding to the temperature acquisition point parameters to the body temperature conversion formula from the obtained body surface temperature values corresponding to the temperature acquisition points, and calculating the index value of the target physical examination index.
2. The method of claim 1, wherein the temperature collection point comprises:
a left carotid artery temperature collection point, a right carotid artery temperature collection point, a left arm artery temperature collection point, a right arm artery temperature collection point, a left axillary temperature collection point, a right axillary temperature collection point, and an umbilical artery temperature collection point.
3. The method of claim 1, wherein the body temperature conversion formula comprises: the temperature acquisition point temperature measurement system comprises a constant, a sample parameter value operator formula, a compensation parameter value operator formula and a body temperature conversion calculation sub formula, wherein an independent variable in the body temperature conversion calculation sub formula is the temperature acquisition point parameter.
4. The method of claim 3, wherein calculating a sample parameter value using the sample parameter value operator formula comprises:
for each sample parameter contained in the sample parameter value calculating operator formula, obtaining a sample parameter value corresponding to the sample parameter from a sample population with a normal index value of the target physical examination index;
and calculating the average value of the sample parameter values corresponding to the sample parameters to obtain the sample parameter values.
5. The method of claim 3, wherein calculating a compensation parameter value using the compensation parameter value operator formula comprises:
for each age compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a variation curve of the index value of the target physical examination index along with the increase of the age of the sample population from the sample population with the normal index value of the target physical examination index;
according to the obtained change curve, calculating age compensation parameter values corresponding to all ages to obtain an age compensation parameter value list, wherein the age compensation parameter value list comprises a plurality of rows corresponding to all ages;
according to the age of the current physical examination object, identifying the age matched with the age of the current physical examination object from the age compensation parameter value list, and obtaining the age compensation parameter value corresponding to the age.
6. The method of claim 3, wherein calculating a compensation parameter value using the compensation parameter value operator formula further comprises:
for each environmental compensation parameter contained in the compensation parameter value calculating operator formula, acquiring a curve of the index value of the target physical examination index changing along with the physical examination environment of the sample population from the sample population with the normal index value of the target physical examination index;
calculating an environment compensation parameter value corresponding to each physical examination environment according to the acquired curve to obtain an environment compensation parameter value list, wherein the environment compensation parameter value list comprises a plurality of columns corresponding to the physical examination environments;
and identifying the physical examination environment matched with the physical examination environment of the current physical examination object from the environment compensation parameter value list according to the physical examination environment of the current physical examination object, and obtaining the environment compensation parameter value corresponding to the physical examination environment.
7. The method of claim 1, further comprising:
and generating a physical examination report according to the calculated index values of the target physical examination indexes, and displaying the physical examination report to the current physical examination object.
8. An apparatus for non-invasive physical examination, the apparatus comprising:
the temperature acquisition module is used for acquiring body surface temperature values of the physical examination object according to preset temperature acquisition points to obtain body surface temperature values corresponding to the temperature acquisition points;
the data acquisition module is used for acquiring temperature acquisition point parameters contained in a body temperature conversion formula according to the body temperature conversion formula mapped by a preset target physical examination index;
and the index value calculation module is used for applying the body surface temperature values corresponding to the temperature acquisition point parameters to the body temperature conversion formula from the obtained body surface temperature values corresponding to the temperature acquisition points to calculate the index value of the target physical examination index.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is run, the machine-readable instructions when executed by the processor performing the steps of the method of non-invasive physical examination of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, performs the steps of the method of non-invasive medical examination according to any one of claims 1 to 7.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112315432A (en) * 2020-09-29 2021-02-05 北京化工大学 Information monitoring method, information monitoring device and computer readable storage medium
CN113925501A (en) * 2021-10-12 2022-01-14 云士康(深圳)智能科技有限公司 Non-invasive blood analysis method
CN114659670A (en) * 2022-05-24 2022-06-24 深圳市微克科技有限公司 Multi-acquisition-mode body temperature continuous monitoring system and method for intelligent wearable equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100233793A1 (en) * 2009-03-13 2010-09-16 Sharp Kabushiki Kaisha Healthcare management apparatus, healthcare management method, and display method of determination results
CN204306830U (en) * 2014-12-08 2015-05-06 柴永斌 A kind of data acquisition unit of non-invasive blood analysis
US20150272500A1 (en) * 2012-10-16 2015-10-01 Night-Sense, Ltd Comfortable and personalized monitoring device, system, and method for detecting physiological health risks
CN106021931A (en) * 2016-05-23 2016-10-12 尹铭 Health test result evaluation apparatus, system and method
CN110379515A (en) * 2019-07-12 2019-10-25 上海联影智能医疗科技有限公司 Physiological parameter for assessing target to be detected refers to calibration method, computer equipment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100233793A1 (en) * 2009-03-13 2010-09-16 Sharp Kabushiki Kaisha Healthcare management apparatus, healthcare management method, and display method of determination results
US20150272500A1 (en) * 2012-10-16 2015-10-01 Night-Sense, Ltd Comfortable and personalized monitoring device, system, and method for detecting physiological health risks
CN204306830U (en) * 2014-12-08 2015-05-06 柴永斌 A kind of data acquisition unit of non-invasive blood analysis
CN106021931A (en) * 2016-05-23 2016-10-12 尹铭 Health test result evaluation apparatus, system and method
CN110379515A (en) * 2019-07-12 2019-10-25 上海联影智能医疗科技有限公司 Physiological parameter for assessing target to be detected refers to calibration method, computer equipment

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112315432A (en) * 2020-09-29 2021-02-05 北京化工大学 Information monitoring method, information monitoring device and computer readable storage medium
CN113925501A (en) * 2021-10-12 2022-01-14 云士康(深圳)智能科技有限公司 Non-invasive blood analysis method
CN113925501B (en) * 2021-10-12 2023-09-19 云士康(深圳)智能科技有限公司 Non-invasive blood analysis method
CN114659670A (en) * 2022-05-24 2022-06-24 深圳市微克科技有限公司 Multi-acquisition-mode body temperature continuous monitoring system and method for intelligent wearable equipment

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