CN115112265A - Device and method for acquiring core body temperature and inertial signals of human body - Google Patents
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Abstract
The invention discloses a device and a method for acquiring core body temperature and inertial signals of a human body, wherein the device comprises: the device comprises a first acquisition module, a second acquisition module, a third acquisition module, a fourth acquisition module, a bottom packaging layer, a top packaging layer and a core circuit module layer; the method comprises the following steps: step 1, arranging an acquisition device at a relevant position to acquire position sensor data; step 2, respectively inputting the temperatures of the three heat conduction layers and the ambient temperature into a prediction model for processing to obtain three groups of predicted core temperatures, and performing normalization processing on the three groups of predicted core temperatures to determine the core body temperature of the subject; and 3, processing the data of the first acquisition module and the second acquisition module by taking the inertial data of the third acquisition module as a reference value to obtain corrected inertial measurement data. The invention can provide reliable data for the subsequent detection and diagnosis of human physiological mechanism, and can also obtain the physiological and action information of human body from the inertial signal.
Description
Technical Field
The invention relates to the field, in particular to a device and a method for acquiring a core body temperature and an inertia signal of a human body.
Background
The core body temperature of a human body is an important index reflecting the health degree of the human body, the core body temperature can be directly measured by inserting a thermometer into a pulmonary artery, an esophagus, a bladder or a rectum, but the invasive methods are inconvenient to operate, cannot realize continuous monitoring of the body temperature, are usually invasive or minimally invasive, are uncomfortable and disturbing to a user in the measuring process, and do not develop corresponding equipment to realize continuous measurement. Therefore, the non-invasive continuous detection of the core temperature of the human body is of great significance.
Today, medical detection technology is more advanced, and a plurality of chronic diseases which cannot be accurately detected still exist, such as hypertension, diabetes, chronic obstructive pulmonary disease and the like. Usually, these can only detect pathological features at the time of onset. In addition, increased social pressure has led to more young people being in sub-health, yet these chronic conditions are not noticeable to young patients. Therefore, for the young people in sub-health state, the long-term human physiological information acquisition and monitoring is beneficial to the early detection of chronic diseases. The human behavior contains rich physiological characteristic information, and the human motion information can reflect the human motion state and the physical function. At present, human body motion information detection is to monitor human body motion information by using a visual tool or a sensor, and process and analyze various posture information to judge and recognize human body physiological behaviors. By analyzing human motion physiological data through continuous and real-time monitoring of human behavior by using inertial sensors, it is very necessary to design a core body temperature and inertial parameter detection system for personal and home health monitoring.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a device and a method for acquiring a core body temperature and an inertia signal of a human body, which can provide reliable data for subsequent detection and diagnosis of a human body physiological mechanism and can acquire physiological and action information of the human body from the inertia signal.
In order to solve the above technical problems, the present invention provides a device for acquiring a body temperature and an inertial signal of a human body core, comprising: the device comprises a first acquisition module 1, a second acquisition module 2, a third acquisition module 3, a fourth acquisition module 4, a bottom packaging layer 5, a top packaging layer 6 and a core circuit module layer 7; the skin of the testee is tightly attached to the bottom packaging layer 5, the first acquisition module 1, the second acquisition module 2 and the core circuit module layer 7 are in contact connection with the bottom packaging layer 5, the third acquisition module 3, the fourth acquisition module 4 is in contact connection with the upper surface of the core circuit module layer 7, the first acquisition module 1, the second acquisition module 2, the top of the fourth acquisition module 4 and the top of the core circuit module layer 7 are in contact connection with the top packaging layer 6, the module gap is filled by the top packaging layer 6, the fourth acquisition module 4 is a temperature sensor, the top packaging layer 6 embedded in the geometric center of the device is exposed, and the environmental temperature of the testee is acquired.
Preferably, the first collection module 1, the second collection module 2, and the third collection module 3 are arranged in a regular triangle, and have the same structural layer, including: a heat conduction layer 22, a U-shaped metal heat insulation cover 23 and a detection sensor 21; the detection sensor 21 is positioned in the center of the bottom of the U-shaped metal heat insulation cover 23 and is in contact connection with the U-shaped metal heat insulation cover 23, and the inside of the U-shaped metal heat insulation cover 23 is filled with a heat conduction layer; the U-shaped openings of the U-shaped metal heat shields 23 in the first and second acquisition modules 1 and 2 face the bottom encapsulation layer 5, and the U-shaped opening of the U-shaped metal heat shield 23 in the third acquisition module 3 faces the top encapsulation layer 6.
Preferably, a six-axis inertial sensor for temperature detection is embedded in the detection sensor 21 to collect the temperature and inertial signal of the heat conduction layer at the position.
Preferably, the perimeter of the bottom of the conductive layer 22 is 12 times its height.
Preferably, the thickness of the heat conducting layer of the first acquisition module 1 is 3-5 times that of the heat conducting layers of the second acquisition module 2 and the third acquisition module 3.
Correspondingly, the method for acquiring the core body temperature and the inertial signal of the human body comprises the following steps:
and 3, taking the inertial data of the third acquisition module 3 as a reference value, and performing noise and disturbance processing on the data of the first acquisition module 1 and the data of the second acquisition module 2 to obtain corrected inertial measurement data of the first acquisition module 1 and the second acquisition module 2.
Preferably, in step 2, the three groups of heat conduction layer temperatures and the ambient temperature are respectively input into a prediction model for processing to obtain three groups of predicted core temperatures, and the step of normalizing the three groups of predicted core temperatures to determine the core body temperature of the subject specifically includes the following steps:
Preferably, in step 22, the two core body temperature prediction models formed by the first acquisition module 1 and the third acquisition module 3, and the second acquisition module 2 and the third acquisition module 3 are both:
T Core1 ＝T amb +(T IMU1(2) -T IMU3 )÷(A-B)
wherein,
the core body temperature prediction model formed by the first acquisition module 1 and the second acquisition module 2 is as follows:
wherein, T Core1 、T Core2 All represent the calculated core body temperature, T, of the core body temperature prediction model amb Representing the ambient temperature, T, measured by the fourth acquisition module IMU1(2) Representing the temperature, T, measured by the first (second) acquisition module IMU3 Indicating the temperature, t, measured by the third acquisition module ts 、t bS 、t form 、t IMU1(2)(3) 、t tissue 、t ele 、t device1(2)(3) Sequentially showing the thickness of the bottom packaging layer, the thickness of the top packaging layer, the thickness of the U-shaped metal heat insulation cover, the thickness of a detection sensor in the first acquisition module/the second acquisition module/the third acquisition module, the thickness of equivalent skin tissues of a measurement part, the thickness of a core circuit module layer, and the thickness of a first acquisition moduleThe thickness of the heat conducting layer in the collection module/the second collection module/the third collection module; k is a radical of silicone 、k form 、k IMU1(2)(3) 、k tissue 、k ele The heat conductivity coefficients of the used silica gel, the used heat insulation metal, the used detection sensor, the human skin tissue and the used circuit board are sequentially expressed, and h represents the convection heat transfer coefficient.
Preferably, in step 23, the core body temperature data values T are predicted for three groups 1 ，T 2 ，T 3 Estimating a fusion value close to the true value of the core body temperature according to a normalization algorithm, thereby obtaining an accurate measurement result T of the core body temperature Core The method specifically comprises the following steps:
(a) calculate the average of each group
(b) Calculating the deviation amount delta T of the two predicted core body temperature data values and the average value in the step (a) of different groups i ，
(c) Deviation amount Delta T i Substituting into the weight function f (T), and normalizing to obtain
(d) Deriving weight values from the normalized deviation
i∈[1,N]，
(e) The final average value, namely the core body temperature value T is obtained from the weighted value Core ，
The weight function is selected mainly through experience, and the specific expression formula is as follows:
preferably, in step 3, the third acquisition module 3 acquires a group of data as a null shift value of the accelerometer when the accelerometer is stationary, the null shift values corresponding to the axes are subtracted from the data acquired by the subsequent three IMU inertial sensors, and the sampling frequency is 50 Hz; the acceleration signals are preprocessed by adopting second-order Butterworth band-pass filtering, the acceleration direct-current components are removed by adopting an average filtering method, and the gyroscope signals are denoised by adopting a wavelet threshold filtering method.
The invention has the beneficial effects that: the invention can non-invasively collect the core body temperature by utilizing the multiple sensors arranged on the handle part of the sternum and the trace body surface on the sternum, collect multi-position inertia signals by utilizing the motion characteristics of different parts of the human body, provide reliable data for the subsequent detection and diagnosis of the physiological mechanism of the human body and obtain the physiological and action information of the human body by utilizing the inertia signals.
Drawings
Fig. 1 is a layered front view of a detection structure of the acquisition device of the core body temperature and the inertial signal of the human body.
Fig. 2 is a layered side view of the detection structure of the acquisition device of the core body temperature and the inertial signal of the human body.
Fig. 3 is a layered schematic diagram of three acquisition modules of the acquisition device for the core body temperature and the inertial signal of the human body.
Fig. 4 is a scheme diagram of the acquisition device of the core body temperature and the inertial signal of the human body.
The device comprises a first acquisition module, a second acquisition module, a third acquisition module, a fourth acquisition module, a bottom packaging layer, a top packaging layer, a core circuit module layer, a notch on the sternum, a notch on the core circuit module layer, a detection sensor, a heat conduction layer and a U-shaped metal heat insulation cover, wherein the notch on the sternum is 1, the first acquisition module, the second acquisition module, the third acquisition module, the fourth acquisition module, the notch on the core circuit module layer, 6, the top packaging layer, 7, the detection sensor, 22, the heat conduction layer and 23.
Detailed Description
As shown in fig. 1 and 2, an apparatus for acquiring core body temperature and inertial signals of a human body comprises: the device comprises a first acquisition module 1, a second acquisition module 2, a third acquisition module 3, a fourth acquisition module 4, a bottom packaging layer 5, a top packaging layer 6 and a core circuit module layer 7;
wherein the bottom encapsulation layer 5 is tightly attached to the skin of the subject; the first acquisition module 1, the second acquisition module 2 and the core circuit module layer 7 are in contact connection with the bottom packaging layer 5; the third acquisition module 3 and the fourth acquisition module 4 are in contact connection with the upper surface of the core circuit module layer 7; the tops of the first acquisition module 1, the second acquisition module 2, the fourth acquisition module 4 and the core circuit module layer 7 are in contact connection with the top packaging layer 6, and the module gaps are filled by the top packaging layer 6; the fourth acquisition module 4 is a temperature sensor, the upper surface of which is exposed, and is used for acquiring the ambient temperature of the testee;
as shown in fig. 3 and 4, the first acquisition module 1, the second acquisition module 2, and the third acquisition module 3 are arranged in a regular triangle, and have the same structural layer, including: a heat conduction layer 22, a U-shaped metal heat insulation cover 23 and a detection sensor 21; the detection sensor 21 is positioned in the center of the bottom of the U-shaped metal heat insulation cover 23 and is in contact connection with the U-shaped metal heat insulation cover 23, and the inside of the U-shaped metal heat insulation cover 23 is filled with a heat conduction layer 22; the circumference of the bottom of the heat conduction layer 22 is 12 times of the height of the heat conduction layer 22, and the thickness of the heat conduction layer 22 of the first collection module 1 is 3-5 times of the thickness of the heat conduction layers 22 of the second collection module 2 and the third collection module 3; the detection sensor 21 is a six-axis inertial sensor (IMU) embedded with temperature detection, and is used for acquiring the temperature and inertial signals of the heat conduction layer 22 at the position;
as shown in fig. 3, the U-shaped openings of the U-shaped metal heat shields 23 in the first and second acquisition modules 1 and 2 face the bottom packaging layer 5, and the U-shaped openings of the U-shaped metal heat shields 23 in the third acquisition module 3 face the top packaging layer 6.
The core circuit module layer comprises a core processor control module, a wireless transmission module, a power supply module, a data storage module and other necessary peripheral circuit modules.
The materials of each heat conduction layer and the packaging layer are silica gel; the material of the heat insulation metal is selected from any one of gold, silver, nickel, aluminum foil, metal-plated polyester and the like.
Taking a certain user as an example, the specific implementation process of the invention is as follows:
step (a): the collecting device is arranged on the body surfaces of the two ends of the sternum handle part and the sternum notch of the subject. The first acquisition module and the second acquisition module are positioned above the body surfaces at the left end and the right end of the suprasternal notch, and the third acquisition module is positioned above the body surface contacting with the handle part of the sternum and is used for acquiring the position sensor data;
step (b): inputting the three heat conduction layer temperatures and the environment temperature into a prediction model respectively for processing to obtain three groups of predicted core temperatures, and performing normalization processing on the three groups of predicted core temperatures to determine the core body temperature of the subject;
step (c): the inertial detection sensor acquires inertial signals such as acceleration, angular velocity and angle at the acquisition position, transmits the inertial signals to the core processing system through the communication interface, the embedded control module analyzes information, and takes inertial data of the third acquisition module as a reference value to perform noise, disturbance and other processing on data of the first acquisition module and the second acquisition module so as to obtain corrected inertial measurement data of the first acquisition module and the second acquisition module.
The device comprises a first acquisition module, a third acquisition module, a second acquisition module and a third acquisition module, wherein two core body temperature prediction models formed by the second acquisition module and the third acquisition module are:
T Core1 ＝T amb +(T IMU1(2) -T IMU3 )÷(A-B)
wherein,
the core body temperature prediction model formed by the first acquisition module and the second acquisition module is as follows:
wherein, T Core1 、T Core2 Representing the predicted core body temperature, T amb Indicating the ambient temperature, T, measured by the fourth acquisition module IMU1(2) Representing the temperature, T, measured by the first (second) acquisition module IMU3 Indicating the temperature, t, measured by the third acquisition module ts 、t bS 、t form 、t IMU1(2) 、t tissue 、t ele 、t device1(2) Sequentially showing the thickness of a bottom packaging layer, the thickness of a top packaging layer, the thickness of a U-shaped metal heat insulation cover, the thickness of a detection sensor in a first acquisition module/a second acquisition module, the thickness of equivalent skin tissue of a measurement part, the thickness of a core circuit module and the thickness of a heat conduction layer in the first acquisition module/the second acquisition module; k is a radical of silicone 、k form 、k IMU1(2)(3) 、k tissue 、k ele Sequentially represents the thermal conductivity coefficients of the used silica gel, metal, detection sensor, human skin tissue and used circuit board, and h represents the convective heat transfer coefficient.
In addition, the collected temperature and inertia information is transmitted to the data application platform through the wireless communication technology and is analyzed and processed again by the data application platform.
Claims (10)
1. The utility model provides a human core body temperature and inertial signal's collection system which characterized in that includes: the device comprises a first acquisition module (1), a second acquisition module (2), a third acquisition module (3), a fourth acquisition module (4), a bottom packaging layer (5), a top packaging layer (6) and a core circuit module layer (7); the skin of a testee is tightly attached to a bottom packaging layer (5), a first acquisition module (1), a second acquisition module (2) and a core circuit module layer (7) are in contact connection with the bottom packaging layer (5), a third acquisition module (3), a fourth acquisition module (4) is in contact connection with the upper surface of the core circuit module layer (7), the first acquisition module (1), the second acquisition module (2), the top of the fourth acquisition module (4) and the top of the core circuit module layer (7) are in contact connection with a top packaging layer (6), module gaps are filled by the top packaging layer (6), the fourth acquisition module (4) is a temperature sensor, the top packaging layer (6) is embedded in the geometric center of the device, the upper surface is exposed, and the ambient temperature of the testee is acquired.
2. The apparatus for acquiring human body core temperature and inertial signals according to claim 1, wherein the first acquisition module (1), the second acquisition module (2) and the third acquisition module (3) are arranged in a regular triangle and have the same structural layer, comprising: the heat conduction layer (22), the U-shaped metal heat insulation cover (23) and the detection sensor (21); the detection sensor (21) is positioned in the center of the bottom of the U-shaped metal heat insulation cover (23) and is in contact connection with the U-shaped metal heat insulation cover (23), and the inside of the U-shaped metal heat insulation cover (23) is filled with a heat conduction layer; u-shaped openings of the U-shaped metal heat insulation covers (23) in the first acquisition module (1) and the second acquisition module (2) face the bottom packaging layer (5), and U-shaped openings of the U-shaped metal heat insulation covers (23) of the third acquisition module (3) face the top packaging layer (6).
3. The apparatus for collecting human body core temperature and inertial signals as claimed in claim 2, wherein the detecting sensor (21) is embedded with six-axis inertial sensor for temperature detection to collect the temperature of the heat conducting layer and the inertial signals at the position.
4. The human body core temperature and inertial signal acquisition device according to claim 2, characterized in that the perimeter of the bottom of the heat conducting layer (22) is 12 times its height.
5. The human body core temperature and inertia signal acquisition device according to claim 2, wherein the thickness of the heat conduction layer of the first acquisition module (1) is 3-5 times of the thickness of the heat conduction layers of the second acquisition module (2) and the third acquisition module (3).
6. An acquisition method using the acquisition apparatus of human core body temperature and inertial signal of claim 1, comprising the steps of:
step 1, arranging an acquisition device on body surfaces at two ends of a sternum handle part (9) and a sternum upper notch (8) of a subject, positioning a first acquisition module (1) and a second acquisition module (2) above the body surfaces at the left end and the right end of the sternum upper notch (8), positioning a third acquisition module (3) above the body surface contacting the sternum handle part 9, and acquiring data of a position sensor; the directly measured raw temperature values are 4: the human body temperature T after passing through the heat conduction layer IMU1 Namely the temperature of the thick heat conduction layer acquired by the first acquisition module (1); ② the temperature T of human body after passing through the heat conducting layer IMU2 Namely the temperature of the thin heat conduction layer acquired by the second acquisition module (2); thirdly, the ambient temperature T after passing through the heat conduction layer IMU3 Namely the temperature of the heat conduction layer acquired by the third acquisition module (3); fourthly, the ambient temperature T amb ；
Step 2, respectively inputting the temperatures of the three heat conduction layers and the ambient temperature into a prediction model for processing to obtain three groups of predicted core temperatures, and performing normalization processing on the three groups of predicted core temperatures to determine the core body temperature of the subject;
and 3, taking the inertial data of the third acquisition module (3) as a reference value, and carrying out noise and disturbance processing on the data of the first acquisition module (1) and the second acquisition module (2) to obtain corrected inertial measurement data of the first acquisition module (1) and the second acquisition module (2).
7. The method according to claim 6, wherein in step 2, the three groups of heat conduction layer temperatures and the ambient temperature are respectively input into a prediction model for processing, so as to obtain three groups of predicted core temperatures, and the normalization processing of the three groups of predicted core temperatures for determining the core body temperature of the subject specifically comprises the following steps:
step 21, median filtering; sampling frequency 10Hz, for T collected IMU1 、T IMU2 、T IMU3 、T amb The four groups of original temperatures eliminate accidental pulse interference by using a median filtering method;
step 22, calculating a core body temperature prediction model; substituting the four groups of filtered temperature values into a model formula T Core1 、T Core2 Calculating to obtain three groups of predicted core body temperature data values T 1 ，T 2 ，T 3 ；
Step 23, processing by a normalized weighted average algorithm; assume a weight value of
i∈[1,N]Predicting the core body temperature data value T for the three groups 1 ，T 2 ，T 3 Estimating a fusion value close to the true value of the core body temperature according to a normalization algorithm, thereby obtaining an accurate measurement result T of the core body temperature Core And the uncertainty in the measurement process is eliminated.
8. The method for acquiring human body core temperature and inertial signals according to claim 6, wherein in step 22, the first acquisition module (1) and the third acquisition module (3), and the second acquisition module (2) and the third acquisition module (3) constitute two core body temperature prediction models which are:
T Core1 ＝T amb +(T IMU1(2) -T IMU3 )÷(A-B)
wherein,
the core body temperature prediction model formed by the first acquisition module (1) and the second acquisition module (2) is as follows:
wherein, T Core1 、T Core2 All represent the calculated core body temperature, T, of the core body temperature prediction model amb Indicating the ambient temperature, T, measured by the fourth acquisition module IMU1(2) Representing the temperature, T, measured by the first (second) acquisition module IMU3 Indicating the temperature, t, measured by the third acquisition module ts 、t bS 、t f2rm 、t IMU1(2)(3) 、t tissue 、t ele 、t device1(2)(3) Sequentially representing the thickness of a bottom packaging layer, the thickness of a top packaging layer, the thickness of a U-shaped metal heat insulation cover, the thickness of a detection sensor in a first acquisition module/a second acquisition module/a third acquisition module, the thickness of equivalent skin tissues of a measurement part, the thickness of a core circuit module layer and the thickness of a heat conduction layer in the first acquisition module/the second acquisition module/the third acquisition module; k is a radical of silicone 、k form 、k IMU1(2)(3) 、k tissue 、k ele The heat conductivity coefficients of the used silica gel, the used heat insulation metal, the used detection sensor, the human skin tissue and the used circuit board are sequentially expressed, and h represents the convection heat transfer coefficient.
9. The method of claim 6, wherein in step 23, three sets of predicted core body temperature data values T are acquired 1 ，T 2 ，T 3 Estimating a fusion value close to the true value of the core body temperature according to a normalization algorithm, thereby obtaining an accurate measurement result T of the core body temperature Core The method specifically comprises the following steps:
(a) calculate the average of each group
(b) Calculating the deviation amount delta T of the two predicted core body temperature data values and the average value in the step (a) of different groups i ，
(c) Deviation amount Delta T i Substituting into the weight function f (T), and normalizing to obtain
(d) Deriving weight values from the normalized deviation
(e) The final average value, namely the core body temperature value T is obtained by the weighted value Core ，
The weight function is selected mainly through experience, and the specific expression formula is as follows:
10. the method for acquiring human body core temperature and inertial signals according to claim 6, wherein in step 3, the third acquisition module (3) acquires a set of data as the null shift value of the accelerometer when the system is at rest, the null shift values corresponding to the axes are subtracted from the data acquired by the subsequent three IMU inertial sensors, and the sampling frequency is 50 Hz; the acceleration signals are preprocessed by second-order Butterworth band-pass filtering, the acceleration direct-current components are removed by an average filtering method, and the gyro signals are denoised by a wavelet threshold filtering method.
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| US20210275030A1 (en) * | 2020-03-06 | 2021-09-09 | Verily Life Sciences Llc | Core temperature estimation from skin and ambient temperature sensors using a dynamic model |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20210275030A1 (en) * | 2020-03-06 | 2021-09-09 | Verily Life Sciences Llc | Core temperature estimation from skin and ambient temperature sensors using a dynamic model |
| US12082911B2 (en) * | 2020-03-06 | 2024-09-10 | Verily Life Sciences Llc | Core temperature estimation from skin and ambient temperature sensors using a dynamic model |
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