Body temperature prediction method, body temperature continuous monitoring method, and dual-temperature body temperature patch

Abstract

The present invention relates to a body temperature prediction method, a body temperature continuous monitoring method, and a dual-temperature body temperature patch that can not only accurately measure the human body temperature in as fast as 3.5 minutes, but also have a high matching degree between the monitoring data and the real data during continuous monitoring. The controller starts to collect and save the temperature information uploaded by the main temperature sensor at regular intervals within the set time; the controller compares and judges the temperature rise curve formed by each temperature information value collected within the set time with each group of standard temperature rise curves pre-stored in the database. Advantages: First, the present invention uses a dual-temperature sensor. The main temperature sensor monitors the axillary epidermal temperature, and the auxiliary temperature sensor monitors the axillary gap temperature to calibrate the temperature error caused by the main temperature sensor due to improper clamping, thereby improving the temperature measurement accuracy of the present invention.

Description

Technical Field

[0001] The present invention relates to a body temperature prediction method, a body temperature continuous monitoring method, and a dual-temperature body temperature patch that can not only accurately measure the human body temperature in as fast as 3.5 minutes, but also have higher matching and consistency between the monitored data and the real data during continuous monitoring, and stronger anti-interference performance during continuous monitoring, belonging to the technical field of body temperature detection. Background Art

[0002] WO 2018152832 A1, titled "Thermometer and Body Temperature Monitoring System Comprising the Same", a thermometer comprising an adhesive layer and an electrically connected layer. Both the adhesive layer and the electrically connected layer have a top surface and a bottom surface. The top surface of the adhesive layer is adhered to the bottom surface of the electrically connected layer. The bottom surface of the adhesive layer is for adhering to the skin surface under the human armpit. It is characterized in that the electrically connected layer further has a first control unit and a first display unit. A first sensor is provided between the top surface of the adhesive layer and the bottom surface of the electrically connected layer. The first control unit is electrically connected to the first sensor and the first display unit. The first sensor is for collecting the temperature of the skin surface and generating an analog temperature signal. The first control unit is for obtaining the analog temperature signal from the first sensor, converting the analog temperature signal into a digital temperature signal and sending the digital temperature signal to the first display unit. An insulating layer is laid above the first sensor. The first sensor is located between the adhesive layer and the insulating layer. The insulating layer is adhered to the bottom surface of the electrically connected layer. The insulating layer is for reducing the loss of heat collected from the skin surface. The material of the insulating layer is a nano-insulating film. The thermometer further comprises a protective layer, a pattern printing layer and an outer coating layer. The protective layer is adhered to the top surface of the electrically connected layer. The electrically connected layer, the protective layer, the pattern printing layer and the outer coating layer are adhered in sequence along the thickness direction of the thermometer. A second sensor is provided between the protective layer and the pattern printing layer. The electrically connected layer further has a second control unit and a second display unit. The second control unit is electrically connected to the second sensor and the second display unit. The second sensor is for collecting the surface temperature of the thermometer and generating a surface analog temperature signal. The second control unit is for obtaining the surface analog temperature signal from the second sensor, converting the surface analog temperature signal into a surface digital temperature signal and sending the surface digital temperature signal to the second display unit. The protective layer has a first protective layer and a second protective layer. The first protective layer is adapted to the electrically connected layer, and the bottom surface of the first protective layer is adhered to the top surface of the electrically connected layer. The second protective layer is laid on the top surface of the first protective layer, and the second protective layer is adhered between the top surface of the first protective layer and the pattern printing layer. The second sensor is located between the second protective layer and the pattern printing layer. The thickness of the first protective layer is greater than the thickness of the second protective layer, and the materials of both the first protective layer and the second protective layer are foam; and / or, the adhesive layer is a non-woven fabric coated with silicone gel, and the material of the outer coating layer is a PU film. The adhesive layer, the electrically connected layer, the protective layer, the pattern printing layer and the outer coating layer are adhesively connected by acrylic glue. Both the first sensor and the second sensor are thermosensitive sensors.The thermometer further includes a data transmission module, which is electrically connected to the first display unit. The data transmission module is used to wirelessly connect to a smart device by means of Bluetooth broadcasting or Bluetooth connection, and is used to transmit the digital temperature signal to the smart device. Among them, when the thermometer can be Bluetooth-connected to the smart device, the data transmission module wirelessly connects to the smart device by means of the Bluetooth connection; when the thermometer cannot be Bluetooth-connected to the smart device, the data transmission module automatically switches to wirelessly connecting to the smart device by means of Bluetooth broadcasting. A body temperature monitoring system includes at least one thermometer as described in claims 1-8. The body temperature monitoring system further includes a smart device. The thermometer further includes a data transmission module, which is electrically connected to the first display unit. The data transmission module is used to wirelessly connect to the smart device by means of Bluetooth broadcasting or Bluetooth connection, and is used to transmit the digital temperature signal to the smart device. The body temperature monitoring system further includes a server, which is wirelessly connected to the smart device and is used to enable the smart device to upload the digital temperature signal to the server. The smart device includes a mobile phone or a PAD loaded with personal monitoring software. The data transmission module is wirelessly connected to the personal monitoring software by means of Bluetooth broadcasting or Bluetooth connection. The personal monitoring software is used to obtain and store the digital temperature signal and upload the digital temperature signal to the server. Among them, the personal monitoring software can be wirelessly connected to multiple thermometers at the same time. The personal monitoring software has a high-temperature prompt function module. When the personal monitoring software monitors that the value of the thermometer is higher than the user's preset value, the high-temperature prompt function module will prompt the user. The smart device includes a monitoring base station. The data transmission module is wirelessly connected to the monitoring base station by means of Bluetooth broadcasting or Bluetooth connection. The monitoring base station is used to obtain and display the digital temperature signal and upload the digital temperature signal to the server. The body temperature monitoring system further includes a mobile phone or a PAD loaded with personal monitoring software. The personal monitoring software is wirelessly connected to the monitoring base station by means of Bluetooth connection and configures the network for the monitoring base station, so that the user can obtain the digital temperature signal from the monitoring base station through the personal monitoring software. The body temperature monitoring system includes a plurality of the thermometers and a plurality of the monitoring base stations. The plurality of monitoring base stations are correspondingly and matched with the plurality of thermometers one by one. The plurality of monitoring base stations are all wirelessly connected to the server and upload the digital temperature signal to the server. The body temperature monitoring system further includes a centralized monitoring software, which is connected to the server and is used to obtain and display the digital temperature signal from the server.Its deficiencies are as follows: First, this type of thermometer and the temperature monitoring system containing it cannot quickly and accurately perform a single detection or the first detection of continuous monitoring on the user; Second, this type of thermometer and the temperature monitoring system containing it compensate the current detected temperature through the historical data monitored by the system during the continuous monitoring process. Although this overcomes the interference of accidental factors on the monitoring process, it will cause new problems. (1) Using the historical data compensation method, the detected data cannot reflect the true fluctuation changes (normal fluctuations) of the human body temperature. That is, the data measured by the historical data compensation method will greatly reduce the subsequent research on patients. (2) Using the historical data compensation method may cover up some sudden temperature changes in the human body; Third, the thermometer in this type of thermometer and the temperature monitoring system containing it not only has a relatively complex structure, but also has a thicker overall thickness, that is, the comfort of human use is relatively poor. Summary of the Invention

[0003] Design purpose: To avoid the deficiencies in the background technology, a temperature prediction method, a temperature continuous monitoring method, and a dual-temperature measuring temperature patch are designed, which can not only accurately measure the human body temperature in as fast as 3.5 minutes at the fastest, but also have higher matching and consistency between the monitoring data and the real data during the continuous monitoring use process, and at the same time have stronger anti-interference performance during the continuous monitoring process.

[0004] Design scheme: To achieve the above design purpose.

[0005] 1. Step 1: Stick the temperature patch on the armpit skin of the user. The main temperature sensor in the temperature patch can monitor the armpit epidermal temperature, and the secondary temperature sensor can monitor the armpit interstitial temperature. The main temperature sensor and the secondary temperature sensor can upload the measured temperature information to the controller in real time. Step 2: When the curvature value of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor within the same time period is within the interval of the set curvature value of the main temperature sensor and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor is within the interval of the set curvature value of the secondary temperature sensor, the controller starts to collect and save the temperature information uploaded by the main temperature sensor at regular intervals within the set time. Step 3: The controller compares and judges the temperature rise curve formed by each temperature information value collected within the set time with each group of standard temperature rise curves pre-stored in the database. After determining the group of standard temperature rise curves that is closest to this temperature rise curve, the controller outputs and displays the designed standard body temperature corresponding to this standard temperature rise curve, which is one of the technical features of the present invention. The purpose of this design is as follows: First, when the curvature value of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor within the same time period is within the interval of the set curvature value of the main temperature sensor and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor is within the interval of the set curvature value of the secondary temperature sensor, the controller starts to collect data for predicting the temperature, that is, the controller can accurately judge the data collection points for rapid temperature prediction in real time. This can not only shorten the entire temperature prediction time, but also improve the accuracy of the predicted temperature. At the same time, the real-time detection of the secondary temperature sensor can monitor the clamping state of the user before and during the process. Second, the controller compares and judges the temperature rise curve formed by each temperature information value collected within the set time with each group of standard temperature rise curves pre-stored in the database. After determining the group of standard temperature rise curves that is closest to this temperature rise curve, the controller outputs and displays the standard body temperature corresponding to this standard temperature rise curve. By comparing and judging the temperature rise curve and the standard temperature rise curve, that is, based on the change in the heating rate (the curvature of the temperature rise curve), the stable temperature can be predicted in advance (the controller can accurately predict the current temperature of the user in advance through the collection of effective temperature data within a certain time and the comparison of the temperature rise curve and the standard temperature rise curve). This greatly shortens the time for a single temperature measurement (when this measurement is used as the starting temperature measurement for the long-term monitoring of the user, then it will greatly shorten the starting temperature measurement time during the monitoring process, thereby shortening the entire monitoring and measurement time). In addition, this method uses multiple sensors to measure the temperature at different positions, supplemented by the ambient temperature, combines the data of multiple sensors, and uses the method of comparing and analyzing the temperature rise curve and the standard temperature rise curve. By excluding the interference data formed by the external environment on the body surface temperature, the human body temperature can be obtained more accurately.

[0006] 2. The design that the set time length for the controller to collect temperature information is 3 minutes and the interval time for collecting temperature information is 10 seconds is the second technical feature of the present invention. The purpose of this design is as follows: Through a large number of experiments, it is found that when the controller collects human body temperature data every 10 seconds within 3 minutes, the temperature rise curve formed by 18 consecutive rising temperature values can enable the controller to accurately predict the current body temperature of the detected person. Through a large number of repeated experiments, it is found that the error between the currently predicted temperature value locked after 3 minutes of countdown and the current actual temperature value is less than or equal to 0.2 °C, that is, rapid and accurate measurement is achieved.

[0007] 3. The design that the temperature patch stays at room temperature for more than 30 seconds and the room temperature is lower than 32 °C before the temperature patch is pasted is the third technical feature of the present invention. The purpose of this design is as follows: Before the temperature patch is pasted, the temperature patch stays at room temperature for more than 30 seconds and the room temperature is lower than 32 °C, which can avoid the interference of external factors on the temperature patch, thereby ensuring the accuracy of human body temperature detection; in addition, when the temperature patch is subjected to a single detection or the first detection of continuous monitoring, the time required for the entire process of completing a single detection or the first detection of continuous monitoring is the 30-second pre-treatment time of the temperature patch and the 3-minute locking prediction time. That is, using this body temperature prediction method, it only takes 3 and a half minutes at the fastest to achieve accurate detection of human body temperature.

[0008] 4. The design of collecting a set of standard temperature rise curve data every 0.5 °C in the human body temperature range of 35 °C - 40 °C, and collecting a set of standard temperature rise curve data every 1 °C in the human body temperature ranges of 33 °C - 35 °C and 40 °C - 42 °C is the fourth technical feature of the present invention. The purpose of this design is as follows: By collecting a set of standard temperature rise curve data every 0.5 °C in the human body temperature range of 35 °C - 40 °C, and collecting a set of standard temperature rise curve data every 1 °C in the human body temperature ranges of 33 °C - 35 °C and 40 °C - 42 °C, the standard temperature rise curves can be reasonably arranged, thereby improving the comparison and analysis speed between the temperature rise curve and the standard temperature rise curve.

[0009] 5. When at most one of the curvature values of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor within the same time period is within the interval of the set curvature value, the design that the controller controls the warning device to give a warning is the fifth technical feature of the present invention. The purpose of such a design is that when at most one of the curvature values of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor within the same time period is within the interval of the set curvature value, the controller controls the warning device to give a warning, which can ensure that the single detection or the first detection of continuous monitoring of the temperature patch is completed when the user is in the clamped state.

[0010] 6. After the controller calculates the predicted temperature, the user keeps the temperature patch in a relaxed state until the temperature detected by the temperature patch gradually drops back to the thermal equilibrium temperature when not clamped. After the detected temperature of the temperature patch reaches the thermal equilibrium temperature, the controller determines the current clamped state through the temperature curve of the secondary temperature sensor. Then, the controller makes a comparison and judgment by combining the current temperature detected by the main temperature sensor with the clamped state and the previous valid temperature value. When the ratio of the absolute value of the difference between the current temperature value and the previous valid temperature value to the previous valid temperature value is less than or equal to the pre-set ratio, the design that the controller outputs and displays the current temperature detected by the main temperature sensor is the sixth technical feature of the present invention. The purpose of such a design is that during the continuous detection of human body temperature, since the state of the person being detected changes at all times (the temperature patch pasted under the armpit detects the temperature of the armpit body surface. As the arm moves or the open state changes, the body surface will dissipate heat due to air flow, resulting in a drastic change in the body surface temperature, manifested as a large fluctuation in the temperature curve, and it is impossible to accurately determine the true body temperature). Then, the controller makes a comparison and judgment by combining the current temperature detected by the main temperature sensor with the clamped state and the previous valid temperature value, which can more truly reflect the change in the user's body temperature during continuous temperature measurement (the normal human body temperature will show a small fluctuation with the change of the environment, such as factors like morning and evening temperature differences).

[0011] 7. When the ratio between the absolute value of the difference between the current temperature value and the previous valid temperature value and the previous valid temperature value is greater than a preset ratio, the controller determines the previous valid temperature value as the current true temperature; or when the current temperature value is less than the previous valid temperature value, the controller uses the temperature value calculated by subtracting the product of the previous valid temperature value and the set ratio from the previous valid temperature value as the current true temperature, and when the current temperature value is greater than the previous valid temperature value, the controller uses the temperature value calculated by adding the product of the previous valid temperature value and the set ratio to the previous valid temperature value as the current true temperature. This design is the seventh technical feature of the present invention. The purpose of such a design is as follows: when the ratio between the absolute value of the difference between the current temperature value and the previous valid temperature value and the previous valid temperature value is greater than a preset ratio, the controller determines the previous valid temperature value as the current true temperature; or when the current temperature value is less than the previous valid temperature value, the controller uses the temperature value calculated by subtracting the product of the previous valid temperature value and the set ratio from the previous valid temperature value as the current true temperature, and when the current temperature value is greater than the previous valid temperature value, the controller uses the temperature value calculated by adding the product of the previous valid temperature value and the set ratio to the previous valid temperature value as the current true temperature. This can avoid interference from accidental external factors during the monitoring process; in addition, when the current temperature value is less than the previous valid temperature value, the controller uses the temperature value calculated by subtracting the product of the previous valid temperature value and the set ratio from the previous valid temperature value as the current true temperature, and when the current temperature value is greater than the previous valid temperature value, the controller uses the temperature value calculated by adding the product of the previous valid temperature value and the set ratio to the previous valid temperature value as the current true temperature. Such a calculation and value-taking method can better serve as a judgment basis for body temperature monitoring (more accurately find the time points when body temperature abnormalities occur, so as to facilitate the investigation of the factors causing body temperature abnormalities at these time points, and further achieve further analysis and research) during the subsequent analysis of the user's body temperature data throughout the monitoring process.

[0012] 8. The upper end surface of the bottom shell is provided with an adhesive, and the upper end surface of the adhesive is adhered with an FPC electronic component. The upper end surface of the FPC electronic component is provided with a middle support through an adhesive, and the upper end surface of the middle support is provided with a face shell through an adhesive. The design that a secondary temperature sensor is provided at the upper end of the middle support and the lower end surface of the flexible circuit board in the FPC electronic component is provided with a primary temperature sensor is the eighth technical feature of the present invention. The purpose of such design is as follows: First, the setting of the primary temperature sensor and the secondary temperature sensor in this body temperature patch measures the temperature at different positions, supplements with the ambient temperature, combines the data of multiple sensors, and uses the comparison and analysis method of the temperature rise curve and the standard temperature rise curve to exclude the interference data formed by the external environment on the body surface temperature, so as to quickly and accurately obtain the human body temperature. Second, the bottom shell, the face shell, the adhesive, the FPC electronic component, and the middle support in this body temperature patch are all made of flexible materials. After this body temperature patch is pasted on the skin under the human armpit, even if the user does some relatively strenuous exercises, the temperature patch can still be completely attached to the human skin. At the same time, the thickness of the temperature patch composed of the bottom shell, the face shell, the adhesive, the FPC electronic component, and the middle support is about 0.3 mm, so that the human body has better comfort during long-term use of the temperature patch. Third, the use of the middle support and the adhesive can not only effectively relieve the impact of external force on the FPC electronic component, but also after the FPC electronic component, the middle support, and the adhesive are connected, the middle support and the adhesive can play a certain supporting role for the FPC electronic component (which is relatively soft), avoiding the problems of local folding and stacking of the FPC electronic component during use. Fourth, the temperature patch has a simple structure, a reasonable layout, and good use stability, and is suitable for large-scale production and use.

[0013] 9. The design that a wire passing hole is opened on the upper end surface of the foam board is the ninth technical feature of the present invention. The purpose of such design is as follows: First, the secondary temperature sensor is located outside the foam board through the wire passing hole, so that the secondary temperature sensor can measure the temperature of the armpit gap of the human body more accurately. Second, the primary temperature sensor is located inside the foam board, so that the foam board can not only play a protective role for the primary temperature sensor, but also play a role of heat preservation and heat insulation for the primary temperature sensor.

[0014] 10. The design that a through hole penetrating the upper and lower end surfaces of the adhesive is opened on the upper end surface of the adhesive, and after the FPC electronic component is arranged on the upper end surface of the adhesive, the sensing head of the primary temperature sensor is located in the through hole is the tenth technical feature of the present invention. The purpose of such design is as follows: A through hole penetrating the upper and lower end surfaces of the adhesive is opened on the upper end surface of the adhesive. After the FPC electronic component is arranged on the upper end surface of the adhesive, the sensing head of the primary temperature sensor is located in the through hole. Due to the opening of the through hole, the primary temperature sensor can monitor the body surface temperature more sensitively.

[0015] Technical Solution 1: A body temperature prediction method, comprising a controller and a body temperature patch. The body temperature patch contains a main temperature sensor and a secondary temperature sensor. Step 1: Stick the body temperature patch on the armpit skin of the user, and the main temperature sensor in the body temperature patch can monitor the armpit epidermal temperature, and the secondary temperature sensor can monitor the armpit gap temperature. The main temperature sensor and the secondary temperature sensor can upload the measured temperature information to the controller in real time. Step 2: When the curvature value of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor within the same time period is within the interval of the set curvature value of the main temperature sensor and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor is within the interval of the set curvature value of the secondary temperature sensor, the controller starts to collect and save the temperature information uploaded by the main temperature sensor at regular intervals within the set time. Step 3: The controller compares and judges the temperature rise curve formed by each temperature information value collected within the set time with each group of standard temperature rise curves pre-stored in the database. After judging the group of standard temperature rise curves that is closest to the temperature rise curve, the controller will output and display the standard body temperature corresponding to the standard temperature rise curve.

[0016] Technical Solution 2: A body temperature continuous monitoring method, which includes the above-mentioned body temperature prediction method. After the controller calculates the predicted temperature, the user keeps the body temperature patch in a relaxed state until the temperature detected by the body temperature patch gradually drops to the thermal equilibrium temperature when not clamped. After the detected temperature of the body temperature patch reaches the thermal equilibrium temperature, the controller determines the current clamped state through the temperature curve of the secondary temperature sensor. Then, the controller compares and judges the current temperature detected by the main temperature sensor in combination with the clamped state and the previous valid temperature value. When the ratio of the absolute value of the difference between the current temperature value and the previous valid temperature value to the previous valid temperature value is less than or equal to the pre-set ratio, the controller outputs and displays the current temperature detected by the main temperature sensor.

[0017] Technical Solution 3: A dual-temperature body temperature patch, comprising a face shell, a bottom shell and an FPC electronic component. The upper end face of the bottom shell is provided with an adhesive, and the FPC electronic component is adhered to the upper end face of the adhesive. The upper end face of the FPC electronic component is provided with a middle support through an adhesive, and the face shell is provided on the upper end face of the middle support through an adhesive. A secondary temperature sensor is provided at the upper end of the middle support, and the signal output end of the secondary temperature sensor is connected to the signal input end of the control unit in the FPC electronic component. The main temperature sensor is provided on the lower end face of the flexible circuit board in the FPC electronic component, and the signal output end of the main temperature sensor is connected to the signal input end of the control unit in the FPC electronic component.

[0018] Compared with the background art, the present invention has the following advantages: First, the present invention uses dual temperature sensors. The main temperature sensor monitors the skin temperature under the armpit, and the secondary temperature sensor assists in monitoring the temperature in the armpit gap to calibrate the temperature error caused by the main temperature sensor due to improper clamping, thereby improving the temperature measurement accuracy of the present invention. Second, the present invention collects the continuously rising temperature under the human armpit and compares the calculated magnitude of the temperature rate change with a big data model to predict the stabilized temperature value within a short time. Third, the present invention uses a compensation algorithm during continuous monitoring. After reaching the stabilized human body temperature, the temperature change of the auxiliary sensor is used to calibrate the temperature compensation value of the main sensor, reducing the temperature error of the main sensor affected by the room temperature. Fourth, the body temperature patch of the present invention not only has a simple structure and reasonable layout, but also has better comfort for human use due to its thinner overall thickness. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the wireless connection structure among the body temperature patch, the gateway, and the controller.

[0020] Figure 2 It is an exploded view of the body temperature patch in the body temperature prediction method.

[0021] Figure 3 It is an exploded view of the dual-temperature measurement body temperature patch.

[0022] Figure 4 It is a three-dimensional structure diagram of the dual-temperature measurement body temperature patch. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] Embodiment 1: Refer to the attached Figure 1 and Figure 2A body temperature prediction method includes a controller 100, a body temperature patch 200, and a gateway 300. The body temperature patch 200 contains a main temperature sensor 7 and a secondary temperature sensor 6. Step 1: The body temperature patch 200 is pasted on the armpit skin of the user, and the main temperature sensor 7 in the body temperature patch 200 can monitor the armpit epidermal temperature, and the secondary temperature sensor 6 can monitor the armpit interstitial temperature. The main temperature sensor 7 and the secondary temperature sensor 6 can upload the respective measured temperature information to the controller 100 in real time through the gateway 300. Step 2: When the curvature value of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor 7 within the same time period is within the interval of the set curvature value of the main temperature sensor and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor 6 is within the interval of the set curvature value of the secondary temperature sensor, the controller 100 starts to collect and save the temperature information uploaded by the main temperature sensor 7 at regular intervals within the set time. Step 3: The controller 100 compares and judges the temperature rise curve formed by each temperature information value collected within the set time with each group of standard temperature rise curves pre-stored in the database. The controller 100 calculates the curvature of several curve segments on the temperature rise curve, and at the same time, the controller 100 calculates the curvature of the corresponding curve segments (i.e., the curve segments in the same time period) on the standard temperature rise curve. After judging the group of standard temperature rise curves that is closest to the temperature rise curve, the controller 100 will output and display the standard body temperature corresponding to the standard temperature rise curve. The standard temperature rise curve is a parabola, and the X-axis in the coordinate system is the time axis, the Y-axis is the temperature axis, the o point in the coordinate system is the starting point, and the standard temperature rise curve is the part where X≥0 and Y≥0 in the parabola. According to the heat conduction equation, for multiple objects with exactly the same material structure, they move from the environmental temperature A to the environmental temperature B in exactly the same way and finally reach the equilibrium temperature C. The time taken for these objects to reach the equilibrium temperature C during the whole process can be considered the same (almost the same), that is, the experiment is reproducible. And when other factors are exactly the same, the time required to reach the equilibrium temperature C only depends on the temperature difference. Based on the above principle, the body temperature patch 200 at room temperature A is quickly placed on the armpit human body temperature B of the person to be measured and clamped, and the body temperature of the person to be measured is B. The various temperature values measured by the body temperature patch 200 during the process of reaching the equilibrium temperature C (arranged from front to back according to time points) are continuously rising, and the temperature rise curve formed by these temperature values is a parabola (the part where X≥0 and Y≥0 in the parabola), that is, it gradually tends to be stable and the temperature rise rate becomes slower and slower. When the armpit human body temperature B of the person to be measured is different (other conditions remain the same), the obtained temperature rise curves are different (i.e., the curvatures of the temperature rise curves are different). The main temperature sensor 7 and the secondary temperature sensor 6 are both NTC thermistors.

[0024] The set time length for the controller 100 to collect temperature information is 3 minutes, and the interval time for collecting temperature information is 10 seconds; the temperature information collected by the controller 100 is one temperature value, or the temperature information collected by the controller 100 is multiple consecutive temperature values. When the temperature information is multiple consecutive temperature values, the average value calculated by the controller 100 from the multiple consecutive temperature values is used as the temperature value for storage. In actual use, the curve segment used by the controller 100 to calculate the curvature is the curve segment formed by the currently collected temperature information value and the other 5 temperature information values collected within 1 minute before this current temperature information value, and these 6 temperature information values must be continuously rising in temperature. The curve formed by these 6 temperature information values should ensure that at least 4 temperature information values are located on this curve segment.

[0025] Before the body temperature patch 200 is pasted, the body temperature patch 200 is at room temperature for more than 30 seconds and the room temperature is lower than 32°C; the data collection of the standard temperature rise curve needs to meet the following conditions. For the same or the same group of tested persons in the same environment on the same day, the same or the same group of tested persons are detected by a high-precision thermometer and the detected room temperature is controlled below 32°C. The high-precision thermometer is an existing thermometer.

[0026] Data collection of the standard temperature rise curve is carried out every 0.5°C within the human body temperature range of 35°C - 40°C, and data collection of the standard temperature rise curve is carried out every 1°C within the human body temperature ranges of 33°C - 35°C and 40°C - 42°C; the high-precision thermometer takes a reading every 10 seconds and records the reading, and the continuous temperature measurement time is 3 minutes. In the same environment, temperature data is collected by the high-precision thermometer at regular intervals for different human body temperatures, and a standard temperature rise curve is formed from the data collected during the continuous temperature measurement time. For example, when the human body temperature is 36°C, the high-precision thermometer is used to collect data from the high-precision thermometer every 10 seconds within 3 minutes, and a standard temperature rise curve a is formed based on these data. When the human body temperature is 36.5°C, the high-precision thermometer is used to collect data from the high-precision thermometer every 10 seconds within 3 minutes, and a standard temperature rise curve b is formed based on these data. When the human body temperature is 37°C, the high-precision thermometer is used to collect data from the high-precision thermometer every 10 seconds within 3 minutes, and a standard temperature rise curve c is formed based on these data. In this way, a human body temperature compensation table with a range of 33°C - 42°C is made and input into the database for use as comparison standard data.

[0027] When at most only one of the curvature values of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor 7 and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor 6 within the same time period is within the set curvature value interval, the controller 100 will control the warning device to give a warning.

[0028] The temperature patch 200 includes a temperature sensor module composed of a main temperature sensor 7 and a secondary temperature sensor 6, a button module, a power supply module, a Bluetooth module, and an MCU. The gateway 300 includes a button module, a power supply module, a Bluetooth module, a WiFi module, and an MCU. The controller 100 can be a computer installed with software required for body temperature detection. The temperature patch 200 can wirelessly transmit the detected temperature information to the controller 100 through the gateway 300. By adopting the Bluetooth communication and temperature sensing technologies of the present invention, a method for continuously detecting the human body temperature once or multiple times in a reliable wireless transmission manner is proposed. The body temperature data is displayed and stored in real time at the Internet end, which can be used for data analysis, medical diagnosis, etc., simplifies the existing medical care process, and enables more intelligent management. Through cloud computing big data analysis, it can also assist doctors in pathological analysis and case archiving.

[0029] Embodiment 2: On the basis of Embodiment 1. A method for continuous body temperature monitoring, which includes the body temperature prediction method described in at least one of Claims 1-5. After the controller 100 calculates the predicted temperature, the user keeps the temperature patch 200 in a relaxed state until the temperature detected by the temperature patch 200 gradually drops back to the thermal equilibrium temperature when not clamped (this relaxation time is about 20 minutes). After the detected temperature of the temperature patch 200 reaches the thermal equilibrium temperature, the controller 100 determines the current clamped state through the temperature curve of the secondary temperature sensor 6. Then, the controller 100 compares and judges the current temperature detected by the main temperature sensor 7 in combination with the clamped state and the previous valid temperature value. When the ratio of the absolute value of the difference between the current temperature value and the previous valid temperature value to the previous valid temperature value is less than or equal to a pre-set ratio, the controller 100 outputs and displays the current temperature detected by the main temperature sensor 7. When the ratio of the absolute value of the difference between the current temperature value and the previous valid temperature value to the previous valid temperature value is greater than the pre-set ratio, the controller 100 determines the previous valid temperature value as the current real temperature.

[0030] For example, after the detected temperature of the temperature patch reaches the thermal equilibrium temperature and the controller determines that the current temperature patch is in the clamped state through the temperature curve of the secondary temperature sensor (this is a heavy clamp, and at this time the temperature of the temperature patch 200 is higher than the room temperature), the controller first calculates the absolute value of the difference between the current temperature value detected by the main temperature sensor and the previous valid temperature value. Then, the controller calculates the ratio of this absolute value to the previous valid temperature value. When the ratio of the two is less than or equal to the set ratio, it is determined that the current body temperature is the real temperature.

[0031] Embodiment 3: On the basis of Embodiment 1 and Embodiment 2. When the current temperature value is less than the previous valid temperature value, the controller 100 calculates the current true temperature by subtracting the temperature value calculated by multiplying the previous valid temperature value by the set ratio from the previous valid temperature value. When the current temperature value is greater than the previous valid temperature value, the controller 100 calculates the current true temperature by adding the temperature value calculated by multiplying a valid temperature value by the set ratio to the previous valid temperature value.

[0032] For example, after the detected temperature of the temperature patch reaches the thermal equilibrium temperature and the controller determines that the current temperature patch is in a clamped state through the temperature curve of the auxiliary temperature sensor, the controller first calculates the absolute value of the difference between the current temperature value detected by the main temperature sensor and the previous valid temperature value. Then the controller calculates the ratio between the absolute value and the previous valid temperature value. When the ratio of the two is greater than or equal to the set ratio, the temperature value calculated by the above calculation method is used as the current true temperature.

[0033] Embodiment 4: Refer to the appendix Figure 3 and 4 A dual-temperature measuring temperature patch, comprising a face shell 1, a bottom shell 2 and an FPC electronic component 3. The FPC electronic component 3 is an existing component, so it will not be described in detail here. The upper end surface of the bottom shell 2 is provided with an adhesive 4, and the upper end surface of the adhesive 4 is adhered with an FPC electronic component 3. The upper end surface of the FPC electronic component 3 is provided with a middle support 5 through an adhesive, and the upper end surface of the middle support 5 is provided with a face shell 1 through an adhesive; a main temperature sensor 7 is provided at the upper end of the middle support 5, and the signal output end of the main temperature sensor 7 is connected to the signal input end of the control unit (MCU) in the FPC electronic component 3. The lower end surface of the flexible circuit board in the FPC electronic component 3 is provided with an auxiliary temperature sensor 6, and the signal output end of the auxiliary temperature sensor 6 is connected to the signal input end of the control unit (MCU) in the FPC electronic component 3. The adhesive 4 is a cotton adhesive paper. The thickness of the face shell 1 and the bottom shell 2 is 0.3 mm, the thickness of the middle support 5 is 2.2 mm, and the thickness of the adhesive 4 is 0.1 mm. The overall thickness of the dual-temperature measuring temperature patch is 2.8 mm - 3.2 mm.

[0034] The middle support 5 is a foam board (the foam is PE foam). A wire passing hole 51 is formed in the upper end surface of the foam board. The auxiliary temperature sensor 6 passes through the wire passing hole 51 and is attached to the upper surface of the middle support 5. A through hole 41 penetrating the upper and lower end surfaces of the adhesive tape 4 is formed in the upper end surface of the adhesive tape 4. After the FPC electronic component 3 is arranged on the upper end surface of the adhesive tape 4, the sensing head of the auxiliary temperature sensor 6 is located in the through hole 41. A switch button 8 is arranged on the front shell 1. Both the front shell 1 and the bottom shell 2 are made of foamed TPU material. The shrinkage rate of the foamed TPU is less than 8% and the density of the foamed TPU is 0.32 g / cm³ - 0.38 g / cm³. The front shell 1 or the bottom shell 2 made of such foamed TPU is not only moderate in softness and hardness, but also has better contact comfort. A battery storage hole 52 penetrating the upper and lower end surfaces of the middle support 5 is formed in the upper end surface of the middle support 5. The battery storage hole 52 plays a role in limiting and protecting the battery. After the middle support 5 is arranged on the upper end surface of the FPC electronic component 3, the battery unit in the FPC electronic component 3 is located in the battery storage hole 52.

[0035] It should be understood that: Although the above embodiments have made relatively detailed written descriptions of the design concept of the present invention, these written descriptions are only simple written descriptions of the design concept of the present invention, rather than limitations on the design concept of the present invention. Any combination, addition or modification that does not exceed the design concept of the present invention falls within the protection scope of the present invention.

Claims

1. A body temperature prediction method, comprising a controller (100) and a body temperature patch (200), wherein the body temperature patch (200) contains a main temperature sensor (7) and a secondary temperature sensor (6). Characterized in that: Step 1: Stick the body temperature patch (200) on the armpit skin of the user, and the main temperature sensor (7) in the body temperature patch (200) can monitor the armpit epidermal temperature, and the secondary temperature sensor (6) can monitor the armpit interstitial temperature. The main temperature sensor (7) and the secondary temperature sensor (6) can upload the measured temperature information to the controller (100) in real time; Step 2: When the curvature value of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor (7) within the same time period is within the interval of the set curvature value of the main temperature sensor and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor (6) is within the interval of the set curvature value of the secondary temperature sensor, the controller (100) starts to collect and save the temperature information uploaded by the main temperature sensor (7) at regular intervals within the set time; Step 3: The controller (100) compares and judges the temperature rise curve formed by each temperature information value collected within the set time with each group of standard temperature rise curves pre-stored in the database. After judging the group of standard temperature rise curves that is closest to the temperature rise curve, the controller (100) will output and display the standard body temperature corresponding to the standard temperature rise curve.

2. The body temperature prediction method according to claim 1, Characterized in that: The set time length for the controller (100) to collect temperature information is 3 minutes, and the interval time for collecting temperature information is 10 seconds; the controller (100) collects temperature information as a single temperature value, or the controller (100) collects temperature information as multiple consecutive temperature values.

3. The body temperature prediction method according to claim 1 or 2, Characterized in that: Before the body temperature patch (200) is pasted, the body temperature patch (200) is at room temperature for more than 30 seconds and the room temperature is lower than 32°C; the data collection of the standard temperature rise curve needs to meet the following conditions. For the same or the same group of tested persons in the same environment on the same day, the same or the same group of tested persons are detected by a mercury thermometer and the detected room temperature is controlled below 32°C.

4. The body temperature prediction method according to claim 3, Characterized in that: Data collection of a group of standard temperature rise curves is carried out every 0.5°C within the human body temperature range of 35°C - 40°C, and data collection of a group of standard temperature rise curves is carried out every 1°C within the human body temperature ranges of 33°C - 35°C and 40°C - 42°C; the high-precision thermometer takes a reading every 10 seconds and records the readings, and the continuous temperature measurement time is 3 minutes.

5. The body temperature prediction method according to claim 1, Characterized in that: When at most only one of the curvature value of the continuous temperature rise curve formed by the temperature measured by the main temperature sensor (7) and the curvature value of the continuous temperature rise curve formed by the temperature measured by the secondary temperature sensor (6) within the same time period is within the interval of the set curvature value, the controller (100) will control the warning device to give a warning.

6. A method for continuous body temperature monitoring, characterized in that: It includes the body temperature prediction method described in at least one of claims 1-5. After the controller (100) calculates the predicted temperature, the user keeps the body temperature patch (200) in a relaxed state until the temperature detected by the body temperature patch (200) gradually drops back to the thermal equilibrium temperature when it is not clamped. After the detected temperature of the body temperature patch (200) reaches the thermal equilibrium temperature, the controller (100) determines the current clamped state through the temperature curve of the secondary temperature sensor (6). Then, the controller (100) makes a comparison and judgment by combining the current temperature detected by the primary temperature sensor (7) with the clamped state and the previous valid temperature value. When the ratio of the absolute value of the difference between the current temperature value and the previous valid temperature value to the previous valid temperature value is less than or equal to a preset ratio, the controller (100) outputs and displays the current temperature detected by the primary temperature sensor (7).

7. The method for continuous body temperature monitoring according to claim 6, characterized in that: When the ratio of the absolute value of the difference between the current temperature value and the previous valid temperature value to the previous valid temperature value is greater than the preset ratio, the controller (100) determines the previous valid temperature value as the current real temperature; Or when the current temperature value is less than the previous valid temperature value, the controller (100) calculates the current real temperature by subtracting the temperature value calculated by multiplying the previous valid temperature value by the set ratio from the previous valid temperature value. When the current temperature value is greater than the previous valid temperature value, the controller (100) calculates the current real temperature by adding the temperature value calculated by multiplying the previous valid temperature value by the set ratio to the previous valid temperature value.

8. A dual-temperature body temperature patch, comprising a face shell (1), a bottom shell (2) and an FPC electronic component (3), characterized in that: The upper end surface of the bottom shell (2) is provided with an adhesive (4), and the FPC electronic component (3) is adhered to the upper end surface of the adhesive (4). The upper end surface of the FPC electronic component (3) is provided with a middle support (5) through an adhesive, and the face shell (1) is provided on the upper end surface of the middle support (5) through an adhesive; a secondary temperature sensor (6) is provided at the upper end of the middle support (5), and the signal output end of the secondary temperature sensor (6) is connected to the signal input end of the control unit in the FPC electronic component (3). The lower end surface of the flexible circuit board in the FPC electronic component (3) is provided with a primary temperature sensor (7), and the signal output end of the primary temperature sensor (7) is connected to the signal input end of the control unit in the FPC electronic component (3); it includes the body temperature prediction method described in at least one of claims 1-5.

9. The dual-temperature body temperature patch according to claim 8, characterized in that: The middle support (5) is a foam board, and a wire passing hole (51) is opened on the upper end surface of the foam board. The secondary temperature sensor (6) passes through the wire passing hole (51), and the secondary temperature sensor (6) adheres to the upper surface of the middle support (5).

10. The dual-temperature body temperature patch according to claim 8, characterized in that: A through hole (41) penetrating the upper and lower end faces of the adhesive (4) is formed on the upper end face of the adhesive (4). After the FPC electronic component (3) is disposed on the upper end face of the adhesive (4), the sensing head of the main temperature sensor (7) is located within the through hole (41).

Images