Device for accurately predicting body surface temperature using dual sensors
Through dual sensor devices and human body temperature mathematical model, the existing body temperature measurement methods are solved, and fast and accurate body temperature prediction and long-term continuous monitoring are achieved. It is suitable for a variety of measurement parts, especially suitable for infants. Body temperature measurement.
Patent Information
- Application Number
- CN202210515933.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-05-12
- Publication Date
- 2024-12-27
- Estimated Expiration
- 2042-05-12
AI Technical Summary
The existing body temperature measurement methods are slow to respond, have poor comfort and cannot continuously detect body temperature for a long time, especially for infants to measure body temperature.
A dual sensor device is used, one of which measures body temperature close to the human body, and the other temperature sensor measures the near-body temperature at its location. The two data are processed through the built-in human temperature mathematical model of the main control module to output accurate body temperature data, and are equipped with calibration. Circuits and Bluetooth modules for improved measurement accuracy and comfort.
It realizes rapid response and accurate prediction of body temperature, improves the comfort of body temperature measurement, allows measurement in a variety of parts, is suitable for long-term continuous monitoring of body temperature changes, and improves measurement accuracy and comfort.
Smart Images

Figure CN114894334B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of body temperature measuring instruments and equipment, and in particular to a device for accurately predicting body surface temperature using dual sensors. Background Art
[0002] Mercury thermometers and ordinary electronic thermometers generally measure body temperature in the armpits, mouth or anus. The temperature values obtained by these traditional methods are relatively accurate, but the measurement time is long and the comfort of the patient is very poor. It is especially difficult to operate when measuring the temperature of infants, and it is not suitable for long-term monitoring of body temperature changes.
[0003] Existing traditional thermometers generally measure the armpit, oral cavity, and anus. The disadvantages of the existing technology are:
[0004] 1) Slow response and long measurement time;
[0005] 2) The temperature measurement method is not comfortable;
[0006] 3) Body temperature cannot be detected continuously for a long time. Summary of the invention
[0007] In order to solve the above technical problems, the present invention provides a device for accurately predicting body surface temperature using dual sensors, comprising a main control module and a first temperature sensor and a second temperature sensor connected to the main control module;
[0008] The first temperature sensor is used to measure the body temperature to obtain a first measured temperature and transmit it to the main control module;
[0009] The second temperature sensor is used to measure the near-body temperature of the human skin surface where the first temperature sensor is located, obtain a second measured temperature and transmit it to the main control module;
[0010] The main control module has a built-in human body temperature mathematical model, inputs the first measured temperature and the second measured temperature into the human body temperature mathematical model for processing, and outputs body temperature data.
[0011] Optionally, the main control module is configured with a calibration circuit, which is connected to the main control module and is used to calibrate the first measured temperature and the second measured temperature.
[0012] Optionally, the calibration circuit includes a resistor R16 and a resistor R17; one end of the resistor R17 is connected to a reference voltage V CS , the other end of the resistor R17 is connected to one end of the resistor R16 and the pin 13 of the main control module respectively; the other end of the resistor R16 is grounded;
[0013] The first temperature sensor is an NTC temperature sensor, and one end of the first temperature sensor is connected to a reference voltage V CS , the other end of the first temperature sensor is respectively connected to one end of the resistor R5 and the pin 14 of the main control module; the other end of the resistor R5 is grounded;
[0014] One end of the second temperature sensor is connected to a reference voltage V CS The other end of the second temperature sensor is respectively connected to one end of the resistor R7 and the pin 15 of the main control module; the other end of the resistor R7 is grounded.
[0015] Optionally, both the first temperature sensor and the second temperature sensor are high-precision thermistors.
[0016] Optionally, the first temperature sensor and the second temperature sensor are arranged on different sides, wherein when measuring body temperature, the side where the first temperature sensor is located is in contact with human skin.
[0017] Optionally, the main control module is connected to an indicator light, which is used to indicate the temperature measurement status; the indicator light adopts an LED light emitting diode.
[0018] Optionally, the main control module is connected to a Bluetooth module, and the Bluetooth module is used to send the measured body temperature data to a mobile phone APP.
[0019] Optionally, the human body temperature mathematical model uses the following formula to calculate body temperature data:
[0020]
[0021] In the above formula, T R represents the body temperature data calculated by the human body temperature mathematical model using the formula; n represents the number of acquisitions by the first temperature sensor and the second temperature sensor; T ai represents the first measured temperature obtained by the first temperature sensor for the i-th time; T bi Represents the second measured temperature obtained by the second temperature sensor for the ith measurement; represents; a represents the i-th measurement coefficient of the first temperature sensor, with a value range of 0.6 to 0.9, which is determined by the device structure and the position of the first temperature sensor; b represents the i-th measurement coefficient of the second temperature sensor, with a value range of 0.08 to 0.15, which is determined by the device structure and the position of the second temperature sensor; c represents the temperature measurement model constant, with a value range of 8 to 15, which is selected according to the measured body part, and the measured body part is manually selected before each use.
[0022] Optionally, the calibration circuit, the first temperature sensor and the second temperature sensor are configured with a voltage stabilizing circuit to provide a reference voltage V CS, the voltage stabilizing circuit comprises a voltage stabilizing chip W1, a capacitor C3, a capacitor C4 and a capacitor C5;
[0023] The electrode 1 of the voltage stabilizing chip W1 and the positive electrode of the capacitor C5 are connected to the positive electrode of the power supply, and the negative electrode of the capacitor C5 is connected to the electrode 3 of the voltage stabilizing chip W1 and grounded;
[0024] The electrode 2 of the voltage stabilizing chip W1 is connected to the positive electrode of the capacitor C4 and the positive electrode of the capacitor C3 and serves as an output terminal to output a reference voltage V to the calibration circuit, the first temperature sensor and the second temperature sensor. CS , the negative electrode of the capacitor C4 and the negative electrode of the capacitor C3 are grounded.
[0025] Optionally, the main control module is configured with a storage module, and the storage module is used to store the first measurement temperature and the second measurement temperature continuously collected by the first temperature sensor and the second temperature sensor during measurement;
[0026] The main control module includes a main control chip, and the main control chip performs the following processing on the first measured temperature and the second measured temperature respectively:
[0027] According to the continuously collected first measured temperature or the second measured temperature, corresponding temperature curves are respectively constructed, and the obtained two temperature curves are curves of the first measured temperature and the second measured temperature changing with the measurement time;
[0028] Determine the variation functions of the first measured temperature and the second measured temperature respectively according to the two temperature curves, namely, the first variation function and the second variation function;
[0029] The first change trend function and the second change trend function are obtained by respectively deriving the first change function and the second change trend function, and according to the set temperature change rate threshold, the predicted time when the temperature change rates of the first measured temperature and the second measured temperature are both not greater than the temperature change rate threshold is solved by the first change trend function and the second change trend function;
[0030] If the acquisition time is not less than the prediction time, the last set of the first measured temperature and the second measured temperature acquired during the acquisition time is used as input data of the human body temperature mathematical model;
[0031] If the collection time is less than the prediction time, the prediction time is substituted into the first change function and the second change function respectively to obtain the first measured temperature and the second measured temperature that can be collected corresponding to the prediction time, and the first measured temperature and the second measured temperature corresponding to the prediction time are used as input data of the human body temperature mathematical model.
[0032] The device for accurately predicting body surface temperature using dual sensors of the present invention is provided with two temperature sensors, wherein the first temperature sensor measures body temperature close to the human body, and the second temperature sensor measures the near-body temperature at the position of the human skin surface where the first temperature sensor is located, and the two temperature measurement values are input into the human body temperature mathematical model built into the main control module, and the body temperature data is output after being processed by the model; this scheme measures the near-body temperature while measuring the body temperature, and obtains the body temperature data through the human body temperature mathematical model, fully considering the influence of the temperature value of the near-body microenvironment on the accuracy of human body temperature measurement, and makes the body temperature data more accurate through model correction, and even in the case of shortening the measurement time, accurate body temperature data can still be obtained. temperature data; in addition, since the near-body temperature of the near-body microenvironment is introduced for temperature data correction, the requirements for the temperature measurement site are no longer strictly limited to the armpit, oral cavity or anus, but there are more position selectivities, such as the stomach, back, legs or arms are all selectable temperature measurement sites, which can improve the comfort of temperature measurement for patients and make temperature measurement easier for special groups (such as infants); the present invention fully considers the impact of temperature measurement in different parts in clinical practice, so that the clinician can select the site according to the comfort and convenience of measurement. No matter which part is selected for measurement, higher-precision temperature data can be obtained.
[0033] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.
[0034] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0036] Figure 1 A schematic diagram of a device for accurately predicting body surface temperature using dual sensors in an embodiment of the present invention;
[0037] Figure 2 A schematic diagram of a calibration circuit used in an embodiment of a device for accurately predicting body surface temperature using dual sensors of the present invention;
[0038] Figure 3 A side view of an embodiment of a device for accurately predicting body surface temperature using dual sensors according to the present invention;
[0039] Figure 4A back view of an embodiment of a device for accurately predicting body surface temperature using dual sensors according to the present invention;
[0040] Figure 5 A front view of an embodiment of a device for accurately predicting body surface temperature using dual sensors according to the present invention;
[0041] Figure 6 It is a schematic diagram of the working principle of an embodiment of a device for accurately predicting body surface temperature using dual sensors of the present invention;
[0042] Figure 7 The figure is a schematic diagram of a voltage stabilizing circuit used in an embodiment of the device for accurately predicting body surface temperature using dual sensors of the present invention. DETAILED DESCRIPTION
[0043] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.
[0044] like Figure 1 As shown, an embodiment of the present invention provides a device for accurately predicting body surface temperature using dual sensors, including a main control module and a first temperature sensor and a second temperature sensor connected to the main control module;
[0045] The first temperature sensor is used to measure the body temperature to obtain a first measured temperature and transmit it to the main control module;
[0046] The second temperature sensor is used to measure the near-body temperature of the human skin surface where the first temperature sensor is located, obtain a second measured temperature and transmit it to the main control module;
[0047] The main control module has a built-in human body temperature mathematical model, inputs the first measured temperature and the second measured temperature into the human body temperature mathematical model for processing, and outputs body temperature data.
[0048] The working principle and beneficial effects of the above technical solution are as follows: This solution sets two temperature sensors, wherein the first temperature sensor measures body temperature close to the human body, and the second temperature sensor measures the near-body temperature of the human skin surface where the first temperature sensor is located, and inputs the two temperature measurement values into the human body temperature mathematical model built into the main control module, and outputs the body temperature data after being processed by the model; This solution measures the near-body temperature while measuring the body temperature, and obtains the body temperature data through the human body temperature mathematical model, fully considering the influence of the temperature value of the near-body microenvironment on the accuracy of human body temperature measurement, and makes the body temperature data more accurate through model correction, and even when the measurement time is shortened, accurate data can still be obtained. temperature data; in addition, since the near-body temperature of the near-body microenvironment is introduced for temperature data correction, the requirements for the temperature measurement site are no longer strictly limited to the armpit, oral cavity or anus, but there are more positions to choose from, such as the stomach, back, legs or arms, which can improve the comfort of temperature measurement for patients and make temperature measurement easier for special groups (such as infants); this solution fully considers the impact of temperature measurement in different parts in clinical practice, so that clinicians can choose the site based on measurement comfort and convenience. No matter which part is selected for measurement, higher-precision temperature data can be obtained.
[0049] In one embodiment, Figure 1 and Figure 2 As shown, the main control module is configured with a calibration circuit, the calibration circuit is connected to the main control module, and the calibration circuit is used to calibrate the first measurement temperature and the second measurement temperature;
[0050] The calibration circuit includes a resistor R16 and a resistor R17; one end of the resistor R17 is connected to a reference voltage V CS , the other end of the resistor R17 is connected to one end of the resistor R16 and the pin 13 of the main control module respectively; the other end of the resistor R16 is grounded;
[0051] The first temperature sensor is an NTC temperature sensor, and one end of the first temperature sensor is connected to a reference voltage V CS , the other end of the first temperature sensor is respectively connected to one end of the resistor R5 and the pin 14 of the main control module; the other end of the resistor R5 is grounded;
[0052] One end of the second temperature sensor is connected to a reference voltage V CS The other end of the second temperature sensor is respectively connected to one end of the resistor R7 and the pin 15 of the main control module; the other end of the resistor R7 is grounded.
[0053] The working principle and beneficial effects of the above technical solution are as follows: This solution can eliminate the signal transmission error of the temperature sensor and further improve the accuracy of body temperature measurement by setting a calibration circuit to calibrate the first measured temperature and the second measured temperature; the calibration circuit is mainly provided with resistors R16 and R17, which are used to generate TM2 signals and transmit them to the main control module. The circuit has simple connection, low cost and is easy to implement.
[0054] In one embodiment, the first temperature sensor and the second temperature sensor are both high-precision thermistors;
[0055] like Figure 3-5 As shown, the first temperature sensor and the second temperature sensor are arranged on different sides, wherein, when measuring body temperature, the side where the first temperature sensor is located is in contact with human skin;
[0056] The main control module is connected to an indicator light, which is used to indicate the temperature measurement status; the indicator light can be an LED light emitting diode;
[0057] like Figure 1 As shown, the main control module is connected to a Bluetooth module, and the Bluetooth module is used to send the measured body temperature data to a mobile phone APP.
[0058] The working principle and beneficial effects of the above technical scheme are as follows: this scheme adopts a high-precision thermistor, so that the temperature sensor can react sensitively to temperature and can obtain measurement data within a shorter body temperature measurement time; the first temperature sensor and the second temperature sensor are arranged on different sides. When measuring body temperature, when the side where the first temperature sensor is located is in contact with human skin, the second temperature sensor is not in contact with human skin, thereby achieving the purpose of simultaneously measuring body surface temperature and near-body temperature; by setting an indicator light to indicate the temperature measurement status, it is possible to observe at any time whether the instrument is working normally to ensure the reliability of the collected temperature data. The indicator light adopts an LED light-emitting diode and can be integrated on the control board of the main control module. The control board of the main control module is arranged inside the shell of the device, and the device is more compact; by setting a Bluetooth module, Bluetooth matching and connection can be performed with terminal devices such as mobile phones that are also equipped with a Bluetooth module to realize short-distance data transmission with mobile phones, and the received data can be displayed on terminal devices such as mobile phones using APP applets.
[0059] In one embodiment, the human body temperature mathematical model uses the following formula to calculate body temperature data:
[0060]
[0061] In the above formula, T Rrepresents the body temperature data calculated by the human body temperature mathematical model using the formula; n represents the number of acquisitions by the first temperature sensor and the second temperature sensor; T ai represents the first measured temperature obtained by the first temperature sensor for the i-th time; T bi Represents the second measured temperature obtained by the second temperature sensor for the ith measurement; represents; a represents the i-th measurement coefficient of the first temperature sensor, with a value range of 0.6 to 0.9, which is determined by the device structure and the position of the first temperature sensor; b represents the i-th measurement coefficient of the second temperature sensor, with a value range of 0.08 to 0.15, which is determined by the device structure and the position of the second temperature sensor; c represents the temperature measurement model constant, with a value range of 8 to 15, which is selected according to the measured body part, and the measured body part is manually selected before each use.
[0062] The working principle and beneficial effects of the above technical scheme are as follows: the human body temperature mathematical model of the scheme adopts the above formula to calculate the body temperature data, and the formula introduces the measurement coefficients of the two temperature sensors and the temperature measurement model constants, wherein the temperature measurement model constants are automatically adjusted by selecting the corresponding body parts to be measured, that is, a temperature measurement model constant value table corresponding to the measurement of each part of the human body is stored internally, and the body temperature data of the subject is obtained according to the temperature data continuously collected by the temperature sensor. The adopted formula fully considers the impact of the use of different parts for temperature measurement in clinical practice, so that the clinician can select the part according to the comfort and convenience of the measurement. No matter which part is selected for measurement, higher-precision body temperature data can be obtained.
[0063] In one embodiment, Figure 7 As shown, the calibration circuit, the first temperature sensor and the second temperature sensor are configured with a voltage stabilizing circuit to provide a reference voltage V CS , the voltage stabilizing circuit comprises a voltage stabilizing chip W1, a capacitor C3, a capacitor C4 and a capacitor C5;
[0064] The electrode 1 of the voltage stabilizing chip W1 and the positive electrode of the capacitor C5 are connected to the positive electrode of the power supply, and the negative electrode of the capacitor C5 is connected to the electrode 3 of the voltage stabilizing chip W1 and grounded;
[0065] The electrode 2 of the voltage stabilizing chip W1 is connected to the positive electrode of the capacitor C4 and the positive electrode of the capacitor C3 and serves as an output terminal to output a reference voltage V to the calibration circuit, the first temperature sensor and the second temperature sensor. CS , the negative electrode of the capacitor C4 and the negative electrode of the capacitor C3 are grounded.
[0066] The working principle and beneficial effects of the above technical solution are as follows: This solution adopts a voltage stabilizing circuit to provide a more stable power supply, ensuring the reference voltage V of the calibration circuit, the first temperature sensor and the second temperature sensor CSContinuous stability avoids signal fluctuations caused by voltage fluctuations, which affect the temperature acquisition accuracy of the temperature sensor and the calibration effect of the calibration circuit on the temperature sensor signal.
[0067] In one embodiment, the main control module is configured with a storage module, and the storage module is used to store the first measured temperature, the second measured temperature and the acquisition time continuously collected by the first temperature sensor and the second temperature sensor during measurement;
[0068] The main control module includes a main control chip, and the main control chip performs the following processing on the first measured temperature and the second measured temperature respectively:
[0069] According to the continuously collected first measured temperature or the second measured temperature, corresponding temperature curves are respectively constructed, and the obtained two temperature curves are curves of the first measured temperature and the second measured temperature changing with the measurement time;
[0070] Determine the variation functions of the first measured temperature and the second measured temperature respectively according to the two temperature curves, namely, the first variation function and the second variation function;
[0071] The first change trend function and the second change trend function are obtained by respectively deriving the first change function and the second change trend function, and according to the set temperature change rate threshold, the predicted time when the temperature change rates of the first measured temperature and the second measured temperature are both not greater than the temperature change rate threshold is solved by the first change trend function and the second change trend function;
[0072] If the acquisition time is not less than the prediction time, the last set of the first measured temperature and the second measured temperature acquired during the acquisition time is used as input data of the human body temperature mathematical model;
[0073] If the collection time is less than the prediction time, the prediction time is substituted into the first change function and the second change function respectively to obtain the first measured temperature and the second measured temperature that can be collected corresponding to the prediction time, and the first measured temperature and the second measured temperature corresponding to the prediction time are used as input data of the human body temperature mathematical model.
[0074] The working principle and beneficial effects of the above technical scheme are as follows: this scheme sets a storage module to store the first measured temperature, the second measured temperature and the collection time continuously collected by the first temperature sensor and the second temperature sensor during measurement, and adopts the main control chip of the main control module to construct the corresponding temperature curves respectively by fitting according to the continuously collected first measured temperature or the second measured temperature, and then derives the change trend function of the two (temperature curves), and sets the temperature change rate threshold according to the measurement accuracy requirement, so as to define the predicted time and the corresponding first measured temperature and second measured temperature in the continuous measurement when the change rate of the first measured temperature and the second measured temperature is not greater than the temperature change rate threshold, and then determines the input data for the mathematical model of human body temperature by comparing the collection time with the predicted time; generally, during temperature measurement, the heat of the object to be measured is transferred to the temperature sensor, so that the temperature of the temperature sensor gradually increases until the temperature of the temperature sensor is consistent with the temperature of the object to be measured, at which time the feedback signal of the temperature sensor The corresponding temperature reflects the actual temperature of the object under test; if the measurement time is not enough to make the temperature of the temperature sensor consistent with the temperature of the object under test, it will cause measurement errors; in the process of heat transfer from the object under test to the temperature sensor, as the temperature of the temperature sensor gradually increases, the temperature difference between the object under test and the temperature sensor decreases, the heat transfer speed decreases, and the temperature rise rate of the temperature sensor decreases accordingly; this scheme predicts the predicted time when the temperature rise rate of the temperature sensor drops to no more than the temperature change rate threshold, and substitutes the predicted time into the temperature change function to obtain the temperature data, which can make up for the test error caused by insufficient body temperature measurement time, so that even if the body temperature measurement time is insufficient to make the temperature sensed by the temperature sensor consistent with the actual temperature, it can also ensure that the difference between the temperature data input into the human body temperature mathematical model and the actual temperature is within the accuracy requirement range, thereby balancing the relationship between body temperature measurement efficiency and accuracy, so that both (body temperature measurement efficiency and accuracy) can be effectively improved.
[0075] In one embodiment, the main control chip has a built-in signal filtering model, and the signal filtering model uses spectral subtraction and wavelet transform to remove noise interference of the original acquisition signal, that is, the output signals of the first temperature sensor and the second temperature sensor are respectively processed as follows:
[0076] In the time domain t of the current temperature measurement, the output signal F(i) collected each time is windowed and then subjected to discrete Fourier transform DFT to obtain the transformed signal F collected for the i-th time. i (n), signal amplitude and noise average energy after transformation;
[0077] The following spectral subtraction algorithm is used to perform spectral subtraction on the transformed signal:
[0078]
[0079] In the above formula, |A i (t)| represents the signal amplitude after the data collected in the time domain t is processed by spectral subtraction; |F i (t)| represents the amplitude of the transformed signal collected for the i-th time in the time domain t; a represents the over-subtraction factor; |Q i | represents the average noise energy; b represents the gain compensation factor; t represents the time domain of the current body temperature measurement;
[0080] The signal amplitude after spectral subtraction is combined with the signal phase before spectral subtraction to obtain the signal after spectral subtraction through inverse Fourier transformation;
[0081] Finally, the wavelet basis and the wavelet decomposition layer number are determined according to the characteristics of the wavelet and the collected output signal sample data of the first temperature sensor and the second temperature sensor, and the signal after spectral subtraction is subjected to wavelet transform. For example, a Daubechies wavelet basis with an order of 15 to 25 can be selected, and the wavelet decomposition layer number is 3 to 5.
[0082] The working principle and beneficial effects of the above technical scheme are as follows: the scheme adopts spectral subtraction and wavelet transform to remove noise interference of the original collected signal, improves the accuracy of extracting the time domain and frequency domain characteristics of the original output signal of the temperature sensor, and can sensitively separate the noise in the original output signal; the scheme has good real-time operation, small amount of calculation, strong robustness, less requirement for prior knowledge of noise, and high accuracy; at the same time, it provides a stable and reliable technical basis for the temperature data detection of the human body temperature mathematical model.
[0083] The device for accurately predicting body surface temperature using dual sensors of the present invention is used to measure body temperature, wherein the first temperature sensor is a main sensor, the second temperature sensor is a reference sensor, and the main control module includes a main control chip; Figure 3-6 As shown, the device of the present invention is mainly composed of a main control chip, a high-precision thermal main sensor on the front, a main control module (circuit board), a thermal reference sensor on the back, a calibration circuit, a status indicator light, and a Bluetooth module. When in use, determine which part of the human body is to be measured, and select the part, such as the abdomen. According to the selection, the main control module will determine the temperature measurement model constant c of the human body temperature mathematical model; then, the side where the main sensor is located is close to the human skin, the main sensor is closely connected to the metal sheet on the device shell, and the reference sensor is located on the side of the device facing the air (ie, away from the human skin). The main control chip reads the main sensor data and obtains T after algorithm calibration. ai , read the reference sensor data and calibrate it with the algorithm to get T bi For example, if the acquisition time is 0.5s, 30 T samples can be collected in 15s. ai and T biData, that is, n = 30, by establishing a mathematical model of human body temperature according to the application scenario, and combining it with clinical data to correct it, T R The temperature measurement result is sent to the mobile phone app via Bluetooth for display, and the status indicator light indicates the temperature measurement status; the measurement index of this device is the temperature range of the sensor after calibration. The present invention only needs to stick this device on the human chest, and check the real-time data of body temperature through the app after Bluetooth connection, which changes the traditional way of measuring body temperature under the armpit and greatly improves the comfort of patients. This device uses dual sensors and new algorithms to achieve fast and accurate prediction of body temperature, and can provide high-precision measurement results in real time.
[0084] The advantages or beneficial effects of the present invention are as follows:
[0085] 1) There is no comfort problem when measuring on the chest or back of the human body
[0086] 2) Use dual sensors and new algorithms to quickly respond and accurately predict human body temperature
[0087] 3) Continuously measure and monitor changes in body temperature for a long time, so that medical staff or related personnel can make more accurate diagnosis based on the measurement data.
[0088] 4) Use Bluetooth to connect to the temperature measuring device to monitor body temperature changes more intuitively through charts.
[0089] 5) The device can be designed as a small and thin electronic thermometer, and the temperature measurement method is more flexible.
[0090] 6) The dual sensor + calibration circuit measurement method speeds up the temperature measurement response speed and improves the temperature measurement accuracy (body temperature is measured in 15 seconds, clinical temperature measurement accuracy ±0.2°).
[0091] 7) A new temperature measurement algorithm can quickly and accurately predict the real body temperature of a person based on the temperature difference between the two sensors and their temperature rise rate.
[0092] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
Claims
1. A device for accurately predicting body surface temperature using dual sensors, characterized in that: It includes a main control module and a first temperature sensor and a second temperature sensor connected to the main control module; The first temperature sensor is used to measure the body temperature to obtain a first measured temperature and transmit it to the main control module; The second temperature sensor is used to measure the near-body temperature of the human skin surface where the first temperature sensor is located, obtain a second measured temperature and transmit it to the main control module; The main control module has a built-in human body temperature mathematical model, inputs the first measured temperature and the second measured temperature into the human body temperature mathematical model for processing, and outputs body temperature data; The main control module is configured with a storage module, and the storage module is used to store the first measurement temperature and the second measurement temperature continuously collected by the first temperature sensor and the second temperature sensor during measurement; The main control module includes a main control chip, and the main control chip performs the following processing on the first measured temperature and the second measured temperature respectively: According to the continuously collected first measured temperature or the second measured temperature, corresponding temperature curves are respectively constructed, and the obtained two temperature curves are curves of the first measured temperature and the second measured temperature changing with the measurement time; Determine the variation functions of the first measured temperature and the second measured temperature respectively according to the two temperature curves, namely, the first variation function and the second variation function; The first change trend function and the second change trend function are obtained by respectively deriving the first change function and the second change trend function, and according to the set temperature change rate threshold, the predicted time when the temperature change rates of the first measured temperature and the second measured temperature are both not greater than the temperature change rate threshold is solved by the first change trend function and the second change trend function; If the acquisition time is not less than the prediction time, the last set of the first measured temperature and the second measured temperature acquired during the acquisition time is used as input data of the human body temperature mathematical model; If the collection time is less than the prediction time, the prediction time is substituted into the first change function and the second change function respectively to obtain the first measured temperature and the second measured temperature that can be collected corresponding to the prediction time, and the first measured temperature and the second measured temperature corresponding to the prediction time are used as input data of the human body temperature mathematical model.
2. The device for accurately predicting body surface temperature using dual sensors according to claim 1, characterized in that: The main control module is equipped with a calibration circuit, which is connected to the main control module and is used to calibrate the first measured temperature and the second measured temperature.
3. The device for accurately predicting body surface temperature using dual sensors according to claim 2, characterized in that: The calibration circuit includes a resistor R16 and a resistor R17; one end of the resistor R17 is connected to a reference voltage V CS , the other end of the resistor R17 is connected to one end of the resistor R16 and the pin 13 of the main control module respectively; the other end of the resistor R16 is grounded; The first temperature sensor is an NTC temperature sensor, and one end of the first temperature sensor is connected to a reference voltage V CS , the other end of the first temperature sensor is respectively connected to one end of the resistor R5 and the pin 14 of the main control module; the other end of the resistor R5 is grounded; One end of the second temperature sensor is connected to a reference voltage V CS The other end of the second temperature sensor is respectively connected to one end of the resistor R7 and the pin 15 of the main control module; the other end of the resistor R7 is grounded.
4. The device for accurately predicting body surface temperature using dual sensors according to claim 1, characterized in that: The first temperature sensor and the second temperature sensor are both high-precision thermistors.
5. The device for accurately predicting body surface temperature using dual sensors according to claim 1, characterized in that: The first temperature sensor and the second temperature sensor are arranged on different sides, wherein the side where the first temperature sensor is located is in contact with human skin when measuring body temperature.
6. The device for accurately predicting body surface temperature using dual sensors according to claim 1, characterized in that: The main control module is connected to an indicator light, which is used to indicate the temperature measurement status; the indicator light adopts an LED light emitting diode.
7. The device for accurately predicting body surface temperature using dual sensors according to claim 1, characterized in that: The main control module is connected to a Bluetooth module, and the Bluetooth module is used to send the measured body temperature data to a mobile phone APP.
8. The device for accurately predicting body surface temperature using dual sensors according to claim 1, characterized in that: The human body temperature mathematical model uses the following formula to calculate body temperature data: In the above formula, T R represents the body temperature data calculated by the human body temperature mathematical model using the formula; n represents the number of acquisitions by the first temperature sensor and the second temperature sensor; T ai represents the first measured temperature obtained by the first temperature sensor for the i-th time; T bi Represents the second measured temperature obtained by the second temperature sensor for the ith measurement; represents; a represents the i-th measurement coefficient of the first temperature sensor, with a value range of 0.6 to 0.9, which is determined by the device structure and the position of the first temperature sensor; b represents the i-th measurement coefficient of the second temperature sensor, with a value range of 0.08 to 0.15, which is determined by the device structure and the position of the second temperature sensor; c represents the temperature measurement model constant, with a value range of 8 to 15, which is selected according to the measured body part, and the measured body part is manually selected before each use.
9. The device for accurately predicting body surface temperature using dual sensors according to claim 3, characterized in that: The calibration circuit, the first temperature sensor and the second temperature sensor are configured with a voltage stabilizing circuit to provide a reference voltage V CS , the voltage stabilizing circuit includes a voltage stabilizing chip W1, a capacitor C3, a capacitor C4 and a capacitor C5; The electrode 1 of the voltage stabilizing chip W1 and the positive electrode of the capacitor C5 are connected to the positive electrode of the power supply, and the negative electrode of the capacitor C5 is connected to the electrode 3 of the voltage stabilizing chip W1 and grounded; The electrode 2 of the voltage stabilizing chip W1 is connected to the positive electrode of the capacitor C4 and the positive electrode of the capacitor C3 and serves as an output end to output a reference voltage V to the calibration circuit, the first temperature sensor and the second temperature sensor. CS , the negative electrode of the capacitor C4 and the negative electrode of the capacitor C3 are grounded.