CN113029392B - Body temperature measurement method and device and electronic equipment - Google Patents
Body temperature measurement method and device and electronic equipment Download PDFInfo
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- CN113029392B CN113029392B CN202110407298.8A CN202110407298A CN113029392B CN 113029392 B CN113029392 B CN 113029392B CN 202110407298 A CN202110407298 A CN 202110407298A CN 113029392 B CN113029392 B CN 113029392B
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Abstract
The invention provides a body temperature measuring method, a body temperature measuring device and electronic equipment, and relates to the technical field of data processing. Wherein the method comprises the following steps: acquiring a plurality of actually measured body temperature data corresponding to a plurality of position points of a human body part at the same moment; the measured body temperature data corresponds to the position points one by one; arranging a plurality of actually measured body temperature data into one-dimensional body temperature data according to a preset arrangement mode; carrying out moving average processing on the one-dimensional body temperature data to obtain a plurality of first body temperature data; the first body temperature data corresponds to the position points one by one; according to the variation between every two adjacent first body temperature data, determining stable segment body temperature data in the measured body temperature data; and outputting a body temperature measurement result according to the stable segment body temperature data. According to the embodiment of the invention, the body temperature measurement result can be output according to the body temperature data of the stable section, namely the measured body temperature data with small data fluctuation, so that the influence of the measured body temperature data with large data fluctuation on the body temperature measurement result is eliminated, and the accuracy of body temperature measurement is improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for measuring body temperature, and an electronic device.
Background
In recent years, infectious diseases such as avian influenza, pneumonia and the like frequently burst, and the significance of disease prevention and control is very important. For infectious diseases taking fever as a main symptom, human body temperature detection is an important means for disease investigation, but the existing handheld thermometer or thermometer is inaccurate in human body temperature measurement result and large in actual body temperature error, especially in the important investigation period of diseases, the investigation result is greatly influenced, and the investigation task amount is increased.
Disclosure of Invention
The invention provides a body temperature measuring method, a body temperature measuring device and electronic equipment, which are used for solving the problem that the body temperature result measured by the existing temperature measuring instrument is inaccurate.
In order to solve the above problems, the present invention discloses a body temperature measurement method, comprising:
Acquiring a plurality of actually measured body temperature data corresponding to a plurality of position points of a human body part at the same moment; the measured body temperature data corresponds to the position points one by one;
arranging the plurality of measured body temperature data into one-dimensional body temperature data according to a preset arrangement mode;
Performing moving average processing on the one-dimensional body temperature data to obtain a plurality of first body temperature data; the first body temperature data corresponds to the position points one by one;
determining stable segment body temperature data in the measured body temperature data according to the variation between every two adjacent first body temperature data;
And outputting a body temperature measurement result according to the stable segment body temperature data.
Optionally, the determining stable segment body temperature data in the measured body temperature data according to the variation between every two adjacent first body temperature data includes:
Supplementing first body temperature data with a value of zero before all the first body temperature data;
For every two adjacent first body temperature data, determining a difference value between the first body temperature data with the later sequence and the first body temperature data with the earlier sequence;
For any difference value, when the difference value is larger than or equal to a first threshold value and smaller than or equal to a second threshold value, corresponding to the position point corresponding to the first body temperature data with the back sequence, and recording a first preset value;
For any difference value, when the difference value is smaller than the first threshold value or larger than the second threshold value, recording a second preset value corresponding to the position point corresponding to the first body temperature data with the back sequence; the first preset value is not equal to the second preset value;
And determining stable segment body temperature data in the measured body temperature data according to a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data.
Optionally, the determining stable segment body temperature data in the measured body temperature data according to a sequence formed by a plurality of the first preset values and a plurality of the second preset values according to the sequence of the first body temperature data includes:
In a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data, for every two adjacent values in the sequence, when the value with the front sequence is the first preset value, the value with the rear sequence is the second preset value, and the position point corresponding to the value with the rear sequence is determined as a starting point of a stable segment;
for every two adjacent values in the sequence, when the value with the front sequence is the second preset value and the value with the back sequence is the first preset value, determining the position point corresponding to the value with the front sequence as a final position point of the stable segment;
and determining the measured body temperature data corresponding to the position point between the starting point of the stable segment and the adjacent ending point of the stable segment as stable segment body temperature data in the measured body temperature data.
Optionally, the outputting the body temperature measurement result according to the stable segment body temperature data includes:
Carrying out index sliding average treatment on the stable segment body temperature data to obtain index sliding average values which are in one-to-one correspondence with the position points corresponding to the stable segment body temperature data;
and outputting the index sliding average value sequentially at the last as a body temperature measurement result.
Optionally, the outputting the body temperature measurement result according to the stable segment body temperature data includes:
determining median body temperature data in the stable segment body temperature data;
And outputting the median body temperature data as a body temperature measurement result.
In order to solve the above problems, the present invention also discloses a body temperature measuring device, comprising:
The acquisition module is used for acquiring a plurality of actually measured body temperature data corresponding to a plurality of position points of the human body part at the same moment; the measured body temperature data corresponds to the position points one by one;
The arrangement module is used for arranging the plurality of measured body temperature data into one-dimensional body temperature data according to a preset arrangement mode;
The processing module is used for carrying out moving average processing on the one-dimensional body temperature data to obtain a plurality of first body temperature data; the first body temperature data corresponds to the position points one by one;
The determining module is used for determining stable segment body temperature data in the measured body temperature data according to the variation between every two adjacent first body temperature data;
and the output module is used for outputting a body temperature measurement result according to the stable segment body temperature data.
Optionally, the determining module includes:
a supplementing sub-module, configured to supplement a first body temperature data with a value of zero before all the first body temperature data;
The first determining submodule is used for determining a difference value between the first body temperature data with the sequence being back and the first body temperature data with the sequence being front for every two adjacent first body temperature data;
The first recording submodule is used for recording a first preset value for any position point corresponding to the first body temperature data with the back sequence when the difference value is larger than or equal to a first threshold value and smaller than or equal to a second threshold value;
The second recording submodule is used for recording a second preset value for any position point corresponding to the first body temperature data with the rear sequence when the difference value is smaller than the first threshold value or larger than the second threshold value; the first preset value is not equal to the second preset value;
and the second determining submodule is used for determining stable segment body temperature data in the actually measured body temperature data according to a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data.
Optionally, the second determining submodule includes:
A first determining unit, configured to determine, for each two adjacent values in a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data, as a stable segment start point, when a value in a front sequence is the first preset value and a value in a rear sequence is the second preset value, the position point corresponding to the value in the rear sequence;
the second determining unit is used for determining the position point corresponding to the value which is in the front of the sequence as a stable segment final position point when the value which is in the front of the sequence is the second preset value and the value which is in the back of the sequence is the first preset value for every two adjacent values in the sequence;
and a third determining unit, configured to determine the measured body temperature data corresponding to the position point between the start point of the stable segment and the end point of the adjacent stable segment as stable segment body temperature data in the measured body temperature data.
Optionally, the output module includes:
The processing sub-module is used for carrying out index sliding average processing on the stable segment body temperature data to obtain an index sliding average value corresponding to the position points corresponding to the stable segment body temperature data one by one;
and the first output sub-module is used for outputting the index sliding average value which is sequentially at the last as a body temperature measurement result.
Optionally, the output module includes:
a third determining sub-module for determining median body temperature data in the stable segment body temperature data;
And the second output sub-module is used for outputting the median body temperature data as a body temperature measurement result.
In order to solve the above problems, the present invention also discloses an electronic device for measuring body temperature, which comprises a plurality of body temperature acquisition devices, a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the plurality of body temperature acquisition devices are used for respectively acquiring body temperatures of a plurality of position points of a part of a human body at the same time, and the computer program realizes the steps of the method for measuring body temperature when being executed by the processor.
Compared with the prior art, the invention has the following advantages:
In the embodiment of the invention, a plurality of actually measured body temperature data corresponding to a plurality of position points of a part of a human body at the same moment can be obtained, the actually measured body temperature data corresponds to the position points one by one, then the plurality of actually measured body temperature data are arranged into one-dimensional body temperature data according to a preset arrangement mode, and the one-dimensional body temperature data are processed in a sliding average mode to obtain a plurality of first body temperature data, the first body temperature data correspond to the position points one by one, then stable section body temperature data in the actually measured body temperature data can be determined according to the variation between every two adjacent first body temperature data, and further the body temperature measurement result is output according to the stable section body temperature data. In the embodiment of the invention, the body temperature measurement result can be output according to the body temperature data of the stable section, namely the measured body temperature data with small data fluctuation, so that the influence of the measured body temperature data with large data fluctuation on the body temperature measurement result can be eliminated, and the accuracy of body temperature measurement is improved.
Drawings
Fig. 1 is a flowchart showing the steps of a body temperature measurement method according to a first embodiment of the present invention;
fig. 2 is a schematic diagram showing that a plurality of measured body temperature data are arranged into one-dimensional body temperature data according to a preset arrangement mode according to a first embodiment of the present invention;
fig. 3 shows a block diagram of a body temperature measuring device according to a second embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Example 1
Referring to fig. 1, a flowchart of the steps of a method for measuring body temperature according to a first embodiment of the present invention is shown, the method comprising the steps of:
Step 101: acquiring a plurality of actually measured body temperature data corresponding to a plurality of position points of a human body part at the same moment; the measured body temperature data corresponds to the position points one by one.
In the embodiment of the present invention, a plurality of actually measured body temperature data may be collected by the body temperature measurement electronic device, specifically, the body temperature measurement electronic device may include a plurality of body temperature collection devices, alternatively, the plurality of body temperature collection devices may be arranged in an array, for example, the 32 x 24 individual temperature collection devices are arranged in an array form of 32 x 24. The body temperature acquisition devices can be used for respectively acquiring the body temperature of a plurality of position points of the part of the human body at the same moment, wherein one body temperature acquisition device can correspondingly acquire the body temperature of one position point.
When the body temperature measuring electronic device is aimed at a certain part of the skin of a human body, such as the forehead and the wrist, a plurality of actually measured body temperature data corresponding to a plurality of position points can be collected at the same time, wherein one position point corresponds to one actually measured body temperature data. For example, for a body temperature measurement electronic device including a 32×24 body temperature acquisition device, when the body temperature measurement electronic device is aligned to a certain local skin of a human body, 32×24 actually measured body temperature data corresponding to 32×24 position points can be acquired simultaneously.
Step 102: and arranging the plurality of measured body temperature data into one-dimensional body temperature data according to a preset arrangement mode.
In the embodiment of the present invention, the location point is a×b dimension, and the measured body temperature data is also a×b dimension data, and in this step, the measured body temperature data in a×b dimension may be arranged into one-dimensional body temperature data according to a preset arrangement manner. Specifically, because the measured body temperature data corresponding to the adjacent position points have a certain continuity, in an alternative implementation manner, as shown in fig. 2, the measured body temperature data in a dimension a, b may be arranged into one-dimensional body temperature data according to a preset serpentine arrangement manner.
In fig. 2, only 6*4-dimensional measured body temperature data is taken as an example to illustrate the serpentine arrangement and the one-dimensional body temperature data after arrangement, and the number and arrangement of the measured body temperature data shown in fig. 2 are not limiting to the present invention.
Step 103: performing moving average processing on the one-dimensional body temperature data to obtain a plurality of first body temperature data; the first body temperature data corresponds to the position points one by one.
In this step, one-dimensional body temperature data may be processed by a sliding average method to obtain a plurality of first body temperature data, where the formula is as follows:
wherein, The first body temperature data corresponding to the mth measured body temperature data in the one-dimensional body temperature data, namely the mth first body temperature data, wherein m is less than or equal to 1; τ is the sliding half cycle length; w i is the weight of the ith measured body temperature data V (i) in the one-dimensional body temperature data, where Σw i =1.
For each measured body temperature data in the one-dimensional body temperature data, a first body temperature data can be determined, and the measured body temperature data corresponds to the position points one by one, so that the first body temperature data also corresponds to the position points one by one.
Step 104: and determining stable segment body temperature data in the measured body temperature data according to the variation between every two adjacent first body temperature data.
In the embodiment of the invention, the step can be realized by utilizing the thought of differential calculation. Specifically, since the plurality of first body temperature data are discrete sequences, if the differential calculation is performed, a differential value sequence of the first body temperature data can be determined, and the differential value sequence can represent the variation amplitude of the first body temperature data, so that a data segment with relatively stable variation in the actually measured body temperature data, namely, the stable segment body temperature data, can be found out through the differential value sequence.
However, in a specific application, since the independent variable is a change of position for the first body temperature data corresponding to different position points, the independent variable serving as a denominator in the differential calculation can be defaulted to 1, so that only the dependent variable serving as a molecule, namely, the change amount between two adjacent first body temperature data, needs to be focused. Therefore, the data segment with stable change in the measured body temperature data can be determined according to the change amount between every two adjacent first body temperature data.
Optionally, the step may be specifically implemented by the following manner, including:
substep (1): supplementing a first body temperature data with a value of zero before all the first body temperature data.
In the sub-step (1), one first body temperature data with a value of zero can be supplemented before all the first body temperature data, so that the quantity of the variable quantity is consistent with the quantity of the position points and corresponds to each other one by one, and the trend judgment of the body temperature fluctuation change is not influenced when the first body temperature data with the value of zero is positioned before all the first body temperature data. Wherein, the number of the first supplementary body temperature data is 0.
Substep (2): for every two adjacent first body temperature data, determining a difference value between the first body temperature data with the later sequence and the first body temperature data with the earlier sequence.
In the sub-step (2), for every two adjacent first body temperature data, subtracting the first body temperature data with the earlier sequence from the first body temperature data with the later sequence, wherein the obtained difference value is a dependent variable serving as a molecule in differential calculation, and the formula is as follows:
Wherein d (m) is the (m-1) -th first body temperature data And the mth first body temperature data/>Difference between them.
Substep (3): and for any difference value, when the difference value is larger than or equal to a first threshold value and smaller than or equal to a second threshold value, recording a first preset value corresponding to the position point corresponding to the first body temperature data with the back sequence.
In sub-step (3), for the difference d (m) between the mth first body temperature data and the (m-1) th first body temperature data, when the difference d (m) is greater than or equal to the first threshold T 1 and less than or equal to the second threshold T 2, it is indicated that the variation fluctuation of the (m-1) th first body temperature data to the mth first body temperature data is small. Then, a first preset value S 1 may be recorded corresponding to the position point m corresponding to the m-th first body temperature data that is later in sequence.
Alternatively, the first preset value S 1 may be equal to 0.
Substep (4): for any difference value, when the difference value is smaller than the first threshold value or larger than the second threshold value, recording a second preset value corresponding to the position point corresponding to the first body temperature data with the back sequence; the first preset value is not equal to the second preset value.
In sub-step (4), for the difference d (n) between the nth first body temperature data and the (n-1) th first body temperature data, when the difference d (n) is smaller than the first threshold T 1 or larger than the second threshold T 2, it is indicated that the variation fluctuation from the (n-1) th first body temperature data to the nth first body temperature data is large. Then, a second preset value S 2 may be recorded corresponding to the position point n corresponding to the nth first body temperature data that is later in sequence.
Alternatively, the second preset value S 2 may be equal to 1.
In practical applications, alternatively, the first threshold T 1 may be a negative number, the second threshold T 2 may be a positive number, and the first threshold T 1 and the second threshold T 2 may be opposite numbers to each other.
Substep (5): and determining stable segment body temperature data in the measured body temperature data according to a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data.
In the sub-step (5), for the measured body temperature data corresponding to the position point corresponding to the first preset value S 1, the measured body temperature data and the measured body temperature data corresponding to the surrounding several position points can be considered to have stable data fluctuation. For the measured body temperature data corresponding to the position point corresponding to the second preset value S 2, the measured body temperature data and the measured body temperature data corresponding to the surrounding several position points can be considered to have obvious data fluctuation.
Further alternatively, sub-step (5) may be implemented in particular by comprising:
In a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data, for every two adjacent values in the sequence, when the value with the front sequence is the second preset value, the value with the rear sequence is the first preset value, and the position point corresponding to the value with the rear sequence is determined as a starting point of a stable segment;
for every two adjacent values in the sequence, when the value with the front sequence is the first preset value and the value with the back sequence is the second preset value, determining the position point corresponding to the value with the front sequence as a stable segment termination point;
and determining the measured body temperature data corresponding to the position point between the starting point of the stable segment and the adjacent ending point of the stable segment as stable segment body temperature data in the measured body temperature data.
The first preset values and the second preset values are arranged according to the sequence of the first body temperature data, namely the sequence corresponding to the preset arrangement mode, so that a discrete sequence can be obtained. In the sequence, for every two adjacent values, if the former value is the second preset value 1 and the latter value is the first preset value 0, the transition of the measured body temperature data from the data fluctuation segment to the data stabilization segment is indicated, so that the position point corresponding to the latter value can be determined as the starting point of the stabilization segment. If the former value is a first preset value 0 and the latter value is a second preset value 1, the transition of the measured body temperature data from the data stabilization segment to the data fluctuation segment is indicated, so that the position point corresponding to the former value can be determined as the termination point of the stabilization segment.
Then, the measured body temperature data corresponding to the position point between the start point of the stable segment and the end point of the adjacent stable segment can be determined as the stable segment body temperature data in the measured body temperature data. It is understood that the stable segment body temperature data may further include measured body temperature data corresponding to a position point corresponding to the start point of the stable segment and measured body temperature data corresponding to a position point corresponding to the end point of the stable segment adjacent to the start point of the stable segment.
Step 105: and outputting a body temperature measurement result according to the stable segment body temperature data.
According to the embodiment of the invention, the body temperature measurement result can be output according to the measured body temperature data with small data fluctuation, so that the influence of the measured body temperature data with large data fluctuation on the body temperature measurement result can be eliminated, and the accuracy of body temperature measurement is improved.
In an alternative implementation, the step may specifically include:
Carrying out index sliding average treatment on the stable segment body temperature data to obtain index sliding average values which are in one-to-one correspondence with the position points corresponding to the stable segment body temperature data;
and outputting the index sliding average value sequentially at the last as a body temperature measurement result.
In the implementation manner, the stable segment body temperature data, that is, k actually measured body temperature data with small data fluctuation, can be processed by an exponential sliding average method to obtain an exponential sliding average value corresponding to the position points corresponding to the k actually measured body temperature data with small data fluctuation one by one, wherein the formula is as follows:
wherein V m is the mth measured body temperature data in the stable segment body temperature data, To stabilize the index sliding average value corresponding to the position point corresponding to the mth measured body temperature data V m in the segment body temperature data,/>And (3) in order to stabilize an exponential sliding average value corresponding to a position point corresponding to (m-1) th measured body temperature data V m-1 in the section body temperature data, wherein alpha is a weighting coefficient, and 0 < alpha < 1.
For example, k exponential sliding averages can be calculated in total by the above formula, and the last calculated exponential sliding average can be calculatedAs a result of the body temperature measurement.
In another alternative implementation, the step may specifically include:
determining median body temperature data in the stable segment body temperature data;
And outputting the median body temperature data as a body temperature measurement result.
In the above implementation manner, since the difference between the measured body temperature data in the stable segment body temperature data is not large, the median in the stable segment body temperature data can be directly output as the body temperature measurement result.
In practical application, the output mode of the body temperature measurement result may be displayed through a display screen, or may be played through a speaker, etc., which is not particularly limited in the embodiment of the present invention.
The body temperature measuring method provided by the embodiment of the invention can be used for occasions such as supermarket customer temperature measurement, district resident temperature measurement, enterprise unit staff and visitor temperature measurement, preliminary temperature measurement of patients at the entrance of a hospital and the like, can improve the accuracy of body temperature measurement, is convenient for finding a heating source as early as possible, and controls the spread of heating infectious diseases.
In the embodiment of the invention, a plurality of actually measured body temperature data corresponding to a plurality of position points of a part of a human body at the same moment can be obtained, the actually measured body temperature data corresponds to the position points one by one, then the plurality of actually measured body temperature data are arranged into one-dimensional body temperature data according to a preset arrangement mode, and the one-dimensional body temperature data are processed in a sliding average mode to obtain a plurality of first body temperature data, the first body temperature data correspond to the position points one by one, then stable section body temperature data in the actually measured body temperature data can be determined according to the variation between every two adjacent first body temperature data, and further the body temperature measurement result is output according to the stable section body temperature data. In the embodiment of the invention, the body temperature measurement result can be output according to the body temperature data of the stable section, namely the measured body temperature data with small data fluctuation, so that the influence of the measured body temperature data with large data fluctuation on the body temperature measurement result can be eliminated, and the accuracy of body temperature measurement is improved.
Example two
Referring to fig. 3, a block diagram of a body temperature measurement device according to a second embodiment of the present invention is shown, the device 200 comprising:
the acquiring module 301 is configured to acquire a plurality of actually measured body temperature data corresponding to a plurality of position points of a local part of a human body at the same time; the measured body temperature data corresponds to the position points one by one;
an arrangement module 302, configured to arrange the plurality of measured body temperature data into one-dimensional body temperature data according to a preset arrangement manner;
The processing module 303 is configured to perform a moving average processing on the one-dimensional body temperature data to obtain a plurality of first body temperature data; the first body temperature data corresponds to the position points one by one;
A determining module 304, configured to determine stable segment body temperature data in the measured body temperature data according to a variation between every two adjacent first body temperature data;
and the output module 305 is configured to output a body temperature measurement result according to the stable segment body temperature data.
Optionally, the determining module includes:
a supplementing sub-module, configured to supplement a first body temperature data with a value of zero before all the first body temperature data;
The first determining submodule is used for determining a difference value between the first body temperature data with the sequence being back and the first body temperature data with the sequence being front for every two adjacent first body temperature data;
The first recording submodule is used for recording a first preset value for any position point corresponding to the first body temperature data with the back sequence when the difference value is larger than or equal to a first threshold value and smaller than or equal to a second threshold value;
The second recording submodule is used for recording a second preset value for any position point corresponding to the first body temperature data with the rear sequence when the difference value is smaller than the first threshold value or larger than the second threshold value; the first preset value is not equal to the second preset value;
and the second determining submodule is used for determining stable segment body temperature data in the actually measured body temperature data according to a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data.
Optionally, the second determining submodule includes:
A first determining unit, configured to determine, for each two adjacent values in a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data, as a stable segment start point, when a value in front of the sequence is the second preset value, a value in back of the sequence is the first preset value, the position point corresponding to the value in back of the sequence is determined;
the second determining unit is used for determining the position point corresponding to the value which is in front of the sequence as a stable section termination point when the value which is in front of the sequence is the first preset value and the value which is in back of the sequence is the second preset value for every two adjacent values in the sequence;
and a third determining unit, configured to determine the measured body temperature data corresponding to the position point between the start point of the stable segment and the end point of the adjacent stable segment as stable segment body temperature data in the measured body temperature data.
Optionally, the output module includes:
The processing sub-module is used for carrying out index sliding average processing on the stable segment body temperature data to obtain an index sliding average value corresponding to the position points corresponding to the stable segment body temperature data one by one;
and the first output sub-module is used for outputting the index sliding average value which is sequentially at the last as a body temperature measurement result.
Optionally, the output module includes:
a third determining sub-module for determining median body temperature data in the stable segment body temperature data;
And the second output sub-module is used for outputting the median body temperature data as a body temperature measurement result.
In the embodiment of the invention, a plurality of actually measured body temperature data corresponding to a plurality of position points of a part of a human body at the same moment can be obtained, the actually measured body temperature data corresponds to the position points one by one, then the plurality of actually measured body temperature data are arranged into one-dimensional body temperature data according to a preset arrangement mode, and the one-dimensional body temperature data are processed in a sliding average mode to obtain a plurality of first body temperature data, the first body temperature data correspond to the position points one by one, then stable section body temperature data in the actually measured body temperature data can be determined according to the variation between every two adjacent first body temperature data, and further the body temperature measurement result is output according to the stable section body temperature data. In the embodiment of the invention, the body temperature measurement result can be output according to the body temperature data of the stable section, namely the measured body temperature data with small data fluctuation, so that the influence of the measured body temperature data with large data fluctuation on the body temperature measurement result can be eliminated, and the accuracy of body temperature measurement is improved.
The embodiment of the invention also discloses a body temperature measurement electronic device, which comprises a plurality of body temperature acquisition devices, a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein the plurality of body temperature acquisition devices are used for respectively acquiring the body temperatures of a plurality of position points of a part of a human body at the same moment, and the computer program realizes the steps of the body temperature measurement method when being executed by the processor.
For the foregoing method embodiments, for simplicity of explanation, the methodologies are shown as a series of acts, but one of ordinary skill in the art will appreciate that the present invention is not limited by the order of acts, as some steps may, in accordance with the present invention, occur in other orders or concurrently. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The above detailed description of the method, the device and the electronic equipment for measuring body temperature provided by the invention applies specific examples to illustrate the principle and the implementation of the invention, and the above examples are only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (7)
1. A method of measuring body temperature, the method comprising:
Acquiring a plurality of actually measured body temperature data corresponding to a plurality of position points of a human body part at the same moment; the measured body temperature data corresponds to the position points one by one;
arranging the plurality of measured body temperature data into one-dimensional body temperature data according to a preset arrangement mode;
Performing moving average processing on the one-dimensional body temperature data to obtain a plurality of first body temperature data; the first body temperature data corresponds to the position points one by one;
determining stable segment body temperature data in the measured body temperature data according to the variation between every two adjacent first body temperature data;
outputting a body temperature measurement result according to the stable segment body temperature data;
Wherein, according to the variation between every two adjacent first body temperature data, determining stable segment body temperature data in the measured body temperature data comprises:
Supplementing first body temperature data with a value of zero before all the first body temperature data;
For every two adjacent first body temperature data, determining a difference value between the first body temperature data with the later sequence and the first body temperature data with the earlier sequence;
For any difference value, when the difference value is larger than or equal to a first threshold value and smaller than or equal to a second threshold value, corresponding to the position point corresponding to the first body temperature data with the back sequence, and recording a first preset value;
For any difference value, when the difference value is smaller than the first threshold value or larger than the second threshold value, recording a second preset value corresponding to the position point corresponding to the first body temperature data with the back sequence; the first preset value is not equal to the second preset value;
In a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data, for every two adjacent values in the sequence, when the value with the front sequence is the second preset value, the value with the rear sequence is the first preset value, and the position point corresponding to the value with the rear sequence is determined as a starting point of a stable segment;
for every two adjacent values in the sequence, when the value with the front sequence is the first preset value and the value with the back sequence is the second preset value, determining the position point corresponding to the value with the front sequence as a stable segment termination point;
and determining the measured body temperature data corresponding to the position point between the starting point of the stable segment and the adjacent ending point of the stable segment as stable segment body temperature data in the measured body temperature data.
2. The method of claim 1, wherein outputting a body temperature measurement from the stable segment body temperature data comprises:
Carrying out index sliding average treatment on the stable segment body temperature data to obtain index sliding average values which are in one-to-one correspondence with the position points corresponding to the stable segment body temperature data;
and outputting the index sliding average value sequentially at the last as a body temperature measurement result.
3. The method of claim 1, wherein outputting a body temperature measurement from the stable segment body temperature data comprises:
determining median body temperature data in the stable segment body temperature data;
And outputting the median body temperature data as a body temperature measurement result.
4. A body temperature measurement device, the device comprising:
The acquisition module is used for acquiring a plurality of actually measured body temperature data corresponding to a plurality of position points of the human body part at the same moment; the measured body temperature data corresponds to the position points one by one;
The arrangement module is used for arranging the plurality of measured body temperature data into one-dimensional body temperature data according to a preset arrangement mode;
The processing module is used for carrying out moving average processing on the one-dimensional body temperature data to obtain a plurality of first body temperature data; the first body temperature data corresponds to the position points one by one;
The determining module is used for determining stable segment body temperature data in the measured body temperature data according to the variation between every two adjacent first body temperature data;
The output module is used for outputting a body temperature measurement result according to the stable segment body temperature data;
Wherein the determining module comprises:
a supplementing sub-module, configured to supplement a first body temperature data with a value of zero before all the first body temperature data;
The first determining submodule is used for determining a difference value between the first body temperature data with the sequence being back and the first body temperature data with the sequence being front for every two adjacent first body temperature data;
The first recording submodule is used for recording a first preset value for any position point corresponding to the first body temperature data with the back sequence when the difference value is larger than or equal to a first threshold value and smaller than or equal to a second threshold value;
The second recording submodule is used for recording a second preset value for any position point corresponding to the first body temperature data with the rear sequence when the difference value is smaller than the first threshold value or larger than the second threshold value; the first preset value is not equal to the second preset value;
The second determining submodule is used for determining stable segment body temperature data in the actually measured body temperature data according to a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data;
The second determination submodule includes:
A first determining unit, configured to determine, for each two adjacent values in a sequence formed by a plurality of first preset values and a plurality of second preset values according to the sequence of the first body temperature data, as a stable segment start point, when a value in front of the sequence is the second preset value, a value in back of the sequence is the first preset value, the position point corresponding to the value in back of the sequence is determined;
the second determining unit is used for determining the position point corresponding to the value which is in front of the sequence as a stable section termination point when the value which is in front of the sequence is the first preset value and the value which is in back of the sequence is the second preset value for every two adjacent values in the sequence;
and a third determining unit, configured to determine the measured body temperature data corresponding to the position point between the start point of the stable segment and the end point of the adjacent stable segment as stable segment body temperature data in the measured body temperature data.
5. The apparatus of claim 4, wherein the output module comprises:
The processing sub-module is used for carrying out index sliding average processing on the stable segment body temperature data to obtain an index sliding average value corresponding to the position points corresponding to the stable segment body temperature data one by one;
and the first output sub-module is used for outputting the index sliding average value which is sequentially at the last as a body temperature measurement result.
6. The apparatus of claim 4, wherein the output module comprises:
a third determining sub-module for determining median body temperature data in the stable segment body temperature data;
And the second output sub-module is used for outputting the median body temperature data as a body temperature measurement result.
7. An electronic device comprising a plurality of body temperature acquisition means for respectively acquiring body temperatures at a plurality of location points of a part of a human body at a same time, a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the body temperature measurement method according to any one of claims 1 to 3.
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| CN202110407298.8A CN113029392B (en) | 2021-04-15 | Body temperature measurement method and device and electronic equipment |
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