CN112386231A - In-vivo temperature measuring method, device, equipment and storage medium - Google Patents
In-vivo temperature measuring method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN112386231A CN112386231A CN201910754741.1A CN201910754741A CN112386231A CN 112386231 A CN112386231 A CN 112386231A CN 201910754741 A CN201910754741 A CN 201910754741A CN 112386231 A CN112386231 A CN 112386231A
- Authority
- CN
- China
- Prior art keywords
- temperature
- user
- determining
- body fat
- body surface
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000001727 in vivo Methods 0.000 title claims abstract description 36
- 210000000577 adipose tissue Anatomy 0.000 claims abstract description 100
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 29
- 238000010438 heat treatment Methods 0.000 claims description 33
- 230000007613 environmental effect Effects 0.000 claims description 27
- 230000036760 body temperature Effects 0.000 claims description 23
- 238000012937 correction Methods 0.000 claims description 23
- 238000005259 measurement Methods 0.000 claims description 15
- 238000006243 chemical reaction Methods 0.000 claims description 14
- 230000037396 body weight Effects 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 7
- 238000012545 processing Methods 0.000 description 12
- 238000004891 communication Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000036541 health Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000020169 heat generation Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4872—Body fat
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Surgery (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Molecular Biology (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Multimedia (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present disclosure provides an in vivo temperature measurement method, apparatus, device and computer readable storage medium, the method comprising: acquiring an environment temperature and a body surface temperature of a user; determining the internal temperature of the user according to the environment temperature, the body surface temperature of the user and the body fat rate of the user; the in-vivo temperature information of the user can be acquired without a complex in-vivo temperature measuring process, and the operation is simple and efficient.
Description
Technical Field
The present disclosure relates to the field of temperature measurement, and in particular, to a method, an apparatus, a device and a computer readable storage medium for measuring an internal temperature.
Background
At present, the measurement of the human body temperature is mainly based on the measurement result of the human body surface temperature, but the human body internal temperature is often different from the human body surface temperature, and the human body internal temperature is replaced by the human body surface temperature, which may bring inaccurate judgment result.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides an in vivo temperature measurement method, apparatus, device, and computer-readable storage medium.
According to a first aspect of the embodiments of the present disclosure, there is provided an in-vivo temperature measurement method, including:
acquiring an environment temperature and a body surface temperature of a user;
and determining the temperature in the body of the user according to the environment temperature, the body surface temperature of the user and the body fat rate of the user.
Optionally, the determining the temperature in the body of the user according to the ambient temperature, the body surface temperature of the user, and the body fat rate of the user includes:
determining the temperature difference between the body surface temperature and the body internal temperature according to the environment temperature and the body fat rate of the user;
and obtaining the internal temperature of the user by using the body surface temperature and the temperature difference.
Optionally, the determining a temperature difference between a body surface temperature and a body internal temperature according to the environment temperature and the body fat rate of the user includes:
determining the human body thermal resistance of the user according to the correction coefficient corresponding to the environment temperature and the body fat rate of the user; the correction coefficient represents the influence degree of the environment temperature on the human body thermal resistance;
and determining the temperature difference between the body surface temperature and the body internal temperature based on the human body thermal resistance and the human body heating power of the user.
Optionally, the body fat rate of the user is determined based on the body mass index of the user and a pre-stored corresponding relation; the body mass index of the user is determined based on the height and weight of the user; the correspondence represents a correspondence of a body mass index and a body fat rate.
Optionally, the ambient temperature and the body surface temperature are measured by two temperature sensors respectively; or the environment temperature is acquired from a weather network platform, and the body surface temperature is a result measured by the temperature sensor.
Optionally, the determining the human body thermal resistance of the user according to the correction coefficient corresponding to the environmental temperature and the body fat percentage of the user includes:
calculating the product of the body fat rate and the body weight of the user to obtain the total body fat weight, and determining the fat thickness of the user based on the ratio of the total body fat weight to the conversion coefficient; the conversion coefficient represents the conversion relation between the total weight of the body fat and the thickness of the body fat;
correcting the preset human body fat heat conductivity coefficient according to the correction coefficient corresponding to the environment temperature;
and taking the ratio of the fat thickness to the corrected human body fat heat conductivity coefficient as the human body thermal resistance of the user.
Optionally, the conversion factor is a product of a body fat density of the user and a human skin area; the corrected human body fat heat conductivity coefficient is the product of the correction coefficient corresponding to the environment temperature and a preset human body fat heat conductivity coefficient.
Optionally, the determining of the human body heating power of the user includes:
determining the total heating value in the designated time according to the human body parameters of the user and the consumed heat in the designated time;
and determining the heating value in unit time by using the total heating value in the specified time as the human body heating power of the user.
Optionally, the determining a temperature difference between a body surface temperature and a body internal temperature based on the body thermal resistance and the body heating power of the user includes:
and determining the temperature difference between the body surface temperature and the body internal temperature based on the product of the body thermal resistance and the body heating power of the user.
Optionally, the method further comprises:
if the difference value between the environmental temperature and the preset normal body temperature of the human body is larger than a specified threshold value, outputting prompt information to a user; the prompt message is used for reminding the user that the temperature measurement result in the body has an error.
Optionally, the determining the temperature in the body of the user according to the ambient temperature, the body surface temperature of the user, and the body fat rate of the user includes:
obtaining the internal temperature of the user based on the matching of the environmental temperature, the body surface temperature, the body fat rate of the user and pre-stored measurement reference data; the measuring datum data are used for recording the corresponding relation between the body fat rate, the body surface temperature and the body internal temperature of the user under different environmental temperatures.
According to a second aspect of the embodiments of the present disclosure, there is provided an in-vivo temperature measurement device, the device including:
the temperature data acquisition module is used for acquiring the ambient temperature and the body surface temperature of a user;
and the internal temperature determining module is used for determining the internal temperature of the user according to the environment temperature, the body surface temperature of the user and the body fat rate of the user.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing the processor-executable instructions;
wherein,
the processor is configured to perform the operations of the method as described above.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an intelligent wearable device, including:
a processor;
a memory for storing the processor-executable instructions;
two temperature sensors;
wherein,
one temperature sensor is used for measuring the body surface temperature, and the other temperature sensor is used for measuring the environmental temperature;
the processor is configured to perform the operations of the method as described above.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program, which, when executed by one or more processors, causes the processors to perform the operations in the method as described above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in this disclosure, after obtaining ambient temperature and user's body surface temperature, can be based on ambient temperature, user's body surface temperature and this user's body fat rate determine this user's internal temperature, need not complicated internal temperature measurement process and can obtain user's internal temperature information, easy operation is high-efficient.
In this disclosure, according to ambient temperature and user's body fat rate confirm the temperature difference between user's body surface temperature and the internal temperature to confirm user's internal temperature, provide the internal temperature information that the realization mode that obtains user's internal temperature need not complicated internal temperature and measurations the process and can obtain user, easy operation is high-efficient.
In the disclosure, the human body thermal resistance of the user is determined based on the correction coefficient corresponding to the environment temperature and the body fat rate of the user, the temperature difference between the body surface temperature and the body internal temperature is determined based on the human body thermal resistance and the human body heating power of the user, and the environment factors are comprehensively considered, so that different temperature differences of the user at different environment temperatures are determined, and the accuracy of the obtained result is ensured.
In the present disclosure, the ambient temperature and the body surface temperature may be measured by two temperature sensors respectively; alternatively, the ambient temperature may be obtained from a weather network platform, and the body surface temperature may be a result measured by a temperature sensor.
In the disclosure, if the difference value between the ambient temperature and the preset normal body temperature of the human body is greater than the specified threshold value, the user can be prompted that an error exists in the measurement result of the internal temperature, so that the objectivity of the obtained internal temperature data is ensured.
In the disclosure, after the ambient temperature and the body surface temperature of the user are acquired, the internal temperature data of the user is accurately and quickly determined through matching with the pre-stored measurement reference data.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flow chart illustrating an in vivo temperature measurement method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a block diagram illustrating an intelligent wearable device and an electronic device according to an exemplary embodiment of the present disclosure.
FIG. 3 is a flow chart illustrating a second method of in vivo temperature measurement according to an exemplary embodiment of the present disclosure.
FIG. 4 is a flow chart illustrating a third method of in vivo temperature measurement according to an exemplary embodiment of the present disclosure.
FIG. 5 is a block diagram of an in-vivo temperature measurement device shown in accordance with an exemplary embodiment of the present disclosure.
FIG. 6 is an architecture diagram illustrating an electronic device according to an example embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
At present, the measurement of the human body temperature is mainly based on the measurement result of the human body surface temperature, but the human body internal temperature is often different from the human body surface temperature, and the difference is greatly influenced by individual difference and environmental temperature, and the substitution of the human body temperature by the human body surface temperature may bring inaccurate judgment results, and the measurement of the human body internal temperature in the related technology needs to go deep into the human body, so the measurement is difficult, the time consumption is long, and the operation is inconvenient. Therefore, to solve the problems in the related art, an embodiment of the present disclosure provides an in vivo temperature measurement method, which can be applied to an electronic device, where the electronic device can be an intelligent wearable device such as a watch and a bracelet, or a mobile terminal such as a smart phone, a tablet, a notebook computer, a personal digital assistant (PAD), or a computing device such as a cloud.
Referring to fig. 1, fig. 1 is a flow chart illustrating an in-vivo temperature measurement method according to an exemplary embodiment of the present disclosure, the method including:
in step S101, the ambient temperature and the body surface temperature of the user are acquired.
In step S102, the internal body temperature of the user is determined according to the ambient temperature, the body surface temperature of the user, and the body fat rate of the user.
In an embodiment, if the electronic device is a device without a temperature measurement function, such as a mobile terminal or a computing device like a cloud, the obtaining of the ambient temperature and the body surface temperature of the user may be implemented in two ways:
in a possible implementation manner, the electronic device 30 may obtain an ambient temperature and a body surface temperature of the user from the smart wearable device 20, please refer to fig. 2, where the ambient temperature and the body surface temperature are respectively measured results of two temperature sensors 21 on the smart wearable device 20, the smart wearable device 20 includes two temperature sensors 21, one temperature sensor 21 is used for measuring the ambient temperature, the other temperature sensor 21 is used for measuring the body surface temperature of the user, the two temperature sensors 21 respectively transmit the measured temperature data to a processing module 22 (such as SoC, System on Chip) of the smart wearable device 20 through interfaces such as I2C/SPI/ADC, and the processing module 22 of the smart wearable device 20 sends the obtained temperatures measured by the two temperature sensors 21 to the electronic device 30, the electronic device 30 receives the ambient temperature and the body surface temperature of the user, and performs the following operations; according to the embodiment, the temperature data can be acquired in real time through the temperature sensor, so that the accuracy of the data is ensured; the transmission mode between the smart wearable device 20 and the electronic device 30 may be specifically set according to actual situations, which is not limited in this application, for example, the processing module 22 of the smart wearable device 20 may transmit the temperature data to the electronic device 30 through BT/WIFI/NFC or the like.
In another possible implementation manner, the electronic device 30 may obtain a body surface temperature of the user from the smart wearable device 20, where the body surface temperature of the user is a result measured by one temperature sensor on the smart wearable device, the smart wearable device transmits the body surface temperature of the user to the electronic device after obtaining the body surface temperature of the user through the temperature sensor, and the ambient temperature may be obtained by the electronic device from a weather network platform (such as a designated weather big data transaction platform or other third-party weather platform); in this embodiment, the intelligent wearable device only needs to be configured with one temperature sensor, which is beneficial to reducing the hardware cost of the intelligent wearable device.
In another embodiment, if the electronic device is a device with a temperature measurement function, such as an intelligent wearable device, the obtaining of the ambient temperature and the body surface temperature of the user may be implemented in two ways:
in a first possible implementation manner, the intelligent wearable device includes two temperature sensors, one of the temperature sensors is used for measuring the ambient temperature, and the other temperature sensor is used for measuring the body surface temperature of the user.
In a second possible implementation manner, the smart wearable device includes a temperature sensor for measuring an ambient temperature, and in addition, the ambient temperature may be that the smart wearable device sends an ambient temperature obtaining request to a cloud and/or a mobile terminal connected to the smart wearable device, and the cloud and/or the mobile terminal connected to the smart wearable device obtain and return to the smart wearable device from a weather network platform.
After obtaining the ambient temperature and the body surface temperature of the user, the electronic device may determine the body temperature of the user according to the ambient temperature, the body surface temperature of the user, and the body fat percentage of the user; as an example, the electronic device may pre-store measurement reference data, where the measurement reference data is used to record correspondence between the body fat percentage, the body surface temperature, and the body internal temperature of the user at different environmental temperatures, and the electronic device may obtain the body internal temperature of the user based on matching between the environmental temperature, the body surface temperature, the body fat percentage of the user, and the pre-stored measurement reference data; as another example, the electronic device may determine a temperature difference between a body surface temperature and an internal body temperature according to the environment temperature and a body fat ratio of the user, and then obtain the internal body temperature of the user by using the body surface temperature and the temperature difference; the process of obtaining the body temperature of the user does not need to be a complex body temperature measuring process, and the operation is simple and efficient.
It can be understood that, the obtaining manner of the body fat percentage of the user may be specifically set according to actual situations, and this embodiment does not limit this, for example, the body fat percentage of the user may be input by the user on the electronic device in advance, or may be calculated by the user through a certain electronic device (such as a body fat scale) in advance, or may be calculated by the electronic device based on the obtained body parameters of the user, for example, the body parameters may be waist circumference and weight, and then the female: parameter a is waist circumference (cm) × 0.74, parameter b is body weight (kg) × 0.082+ 34.89; male: parameter a is waist circumference (cm) x 0.74, parameter b is body weight (kg) x 0.082+ 44.74; total body fat weight (kg) ═ a-b, body fat rate ═ body weight ÷ body weight × 100%; as a second example, the physical parameter may be height and weight, and the electronic device may pre-store a corresponding relationship of the physical parameter, where the corresponding relationship of the physical parameter is used to represent the corresponding relationship of the body fat percentage, height and weight, and then the electronic device may match the corresponding relationship of the physical parameter based on the height and weight of the user to obtain the body fat percentage data of the user; as a third example, the physical parameters may be height and weight, the electronic device may pre-store a corresponding relationship between a Body Mass Index (BMI) and a body fat percentage, and the electronic device calculates the body mass index of the user based on the height and the weight, and then obtains the body fat percentage data of the user based on the body mass index of the user and the corresponding relationship.
Referring to fig. 3, fig. 3 is a flow chart illustrating a second method of measuring an internal body temperature according to an exemplary embodiment of the present disclosure, the method comprising:
in step S201, the ambient temperature and the body surface temperature of the user are acquired. Similar to step S101, the description is omitted here.
In step S202, the temperature difference between the body surface temperature and the body internal temperature is determined according to the environment temperature and the body fat rate of the user.
In step S203, the body temperature of the user is obtained using the body surface temperature and the temperature difference. In an embodiment, the electronic device may pre-store corresponding correction coefficients at different environmental temperatures, where the correction coefficients represent degrees of influence of the environmental temperatures on the human body thermal resistance, and after the electronic device obtains the environmental temperatures and the body surface temperature of the user, the electronic device first determines the corresponding correction coefficients according to the environmental temperatures, and then determines the human body thermal resistance of the user based on the correction coefficients and the body fat percentage of the user.
In one implementation, the electronic device calculates a product of a body fat percentage and a body weight of the user to obtain a total body fat weight, determines a fat thickness of the user based on a ratio of the total body fat weight to a conversion coefficient, where the conversion coefficient represents a conversion relationship between the total body fat weight and the fat thickness, the conversion coefficient is a product of a body fat density of the user and a skin area of the human body, and corrects a preset body fat thermal conductivity according to a correction coefficient corresponding to the ambient temperature, where the corrected body fat thermal conductivity is a product of the correction coefficient corresponding to the ambient temperature and a preset body fat thermal conductivity, the preset body fat thermal conductivity is determined at a preset standard ambient temperature, and when an actual ambient temperature is inconsistent with the preset standard ambient temperature, the correction coefficient corresponding to the ambient temperature is required to correct the actual ambient temperature, therefore, the accuracy of the obtained human body thermal resistance is ensured, and finally the electronic equipment takes the ratio of the fat thickness to the corrected human body fat thermal conductivity coefficient as the human body thermal resistance of the user; that is, the fat thickness is (body fat rate × body weight)/(body fat density × body skin area), the corrected body fat thermal conductivity is the correction coefficient corresponding to the environmental temperature × the preset body fat thermal conductivity, and the body thermal resistance is the fat thickness/corrected body fat thermal conductivity; wherein the skin area of the human body is 0.0061 × height (cm) +0.0124 × weight (kg) -0.0099.
In another embodiment, after determining the human body thermal resistance of the user at the environmental temperature, the electronic device determines the temperature difference between the body surface temperature and the body internal temperature based on the human body thermal resistance and the human body heating power of the user, specifically, the electronic device calculates the product of the human body thermal resistance and the human body heating power of the user, determines the product as the temperature difference between the body surface temperature and the body internal temperature, and then obtains the body internal temperature of the user based on the sum of the body surface temperature and the temperature difference, in this embodiment, the body internal temperature data can be obtained without complex operation, the operation is simple and efficient, compared with the body surface temperature, the obtained body internal temperature can more accurately measure the health condition of the user, and can be used as one of the monitoring standards of daily health of the user to ensure the body health of the user; in addition, the in-vivo temperature of the user is calculated based on the self information of the user, the individual difference of the user is considered, and the method is high in accuracy and strong in pertinence.
Determining the total heating value in a specified time according to the human body parameters of the user and the consumed heat in the specified time, and determining the heating value in unit time by using the total heating value in the specified time as the human body heating power of the user; it can be understood that the acquisition manner of the consumed heat may be specifically set based on actual conditions, and this embodiment does not limit this, for example, the consumed heat in the specified time may be obtained based on monitoring of daily activities of the user by the intelligent wearable device.
As an example, the human body parameters may include gender, weight, height, and age, and it is understood that the obtaining manner of the human body parameters may be specifically set according to actual situations, for example, the user may input the human body parameters on the electronic device, or the electronic device may obtain the weight information from another device associated with the user, such as an associated weighing scale; then for determining the total heat generation amount within the specified time includes: if the sex of the user is male, the total calorific value within a specified time is [660+1.38 × weight (kg) +5 × height (cm) — 6.8 × age ] × the consumed calorie within a specified time; if the sex of the user is female, the total calorific value within the specified time is [655+9.6 × weight (kg) +1.9 × height (cm) — 4.7 × age ] × the consumed calorie within the specified time.
In an embodiment, after the environmental temperature is obtained, the electronic device may first compare the environmental temperature with a preset normal body temperature (for example, 37 ℃), and if a difference between the environmental temperature and the preset normal body temperature is greater than a specified threshold, output a prompt message to a user, where the prompt message is used to remind the user that a measured result of the measured internal temperature may have a large error, thereby ensuring objectivity of the obtained internal temperature.
In an embodiment, after acquiring the in-vivo temperature of the user, the electronic device may further transmit the in-vivo temperature to other devices associated with the electronic device, so that the user can view the in-vivo temperature on the other devices. For example, the intelligent wearable device acquires the in-vivo temperature of the user, transmits the in-vivo temperature to a mobile terminal such as a smart phone and a tablet associated with the intelligent wearable device, and can also upload the in-vivo temperature to a cloud as historical health data of the user to be stored; for another example, the cloud acquires the in-vivo temperature of the user and transmits the in-vivo temperature to the intelligent wearable device, the tablet, the smart phone and other mobile terminals associated with the in-vivo temperature for the user to check.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third method for measuring an internal body temperature according to an exemplary embodiment of the present disclosure, the method comprising:
in step S301, the ambient temperature and the body surface temperature of the user are acquired. Similar to step S101, the description is omitted here.
In step S302, the body temperature of the user is obtained based on the matching of the environmental temperature, the body surface temperature, the body fat percentage of the user, and pre-stored measurement reference data; the measuring datum data are used for recording the corresponding relation between the body fat rate, the body surface temperature and the body internal temperature of the user under different environmental temperatures.
In this embodiment, the electronic equipment has prestored and has surveyed the benchmark data, survey the benchmark data and be used for recording under the different ambient temperature, user's body fat rate, body surface temperature and internal temperature's corresponding relation, then electronic equipment is acquireing after ambient temperature and user's body surface temperature, can be based on ambient temperature the body surface temperature, this user's body fat rate and the matching of prestoring survey benchmark data, accurate quick acquisition user's internal temperature, this embodiment need not to obtain internal temperature data through complicated operation, easy operation is high-efficient.
As shown in fig. 5, fig. 5 is a block diagram of an in-vivo temperature measurement apparatus according to an exemplary embodiment of the present disclosure, where the apparatus may be applied to an electronic device, and the electronic device may be an intelligent wearable device such as a watch and a bracelet, or a mobile terminal such as a smart phone, a tablet, a laptop, a personal digital assistant (PAD), or a computing device such as a cloud.
The device comprises:
and a temperature data acquiring module 41, configured to acquire an ambient temperature and a body surface temperature of the user.
And the internal temperature determining module 42 is used for determining the internal temperature of the user according to the environment temperature, the body surface temperature of the user and the body fat rate of the user.
Optionally, the internal body temperature determination module 42 includes:
and the temperature difference determining submodule is used for determining the temperature difference between the body surface temperature and the body internal temperature according to the environment temperature and the body fat rate of the user.
And the internal temperature determining submodule is used for obtaining the internal temperature of the user by utilizing the body surface temperature and the temperature difference.
Optionally, the temperature difference determination submodule includes:
the human body thermal resistance determining unit is used for determining the human body thermal resistance of the user according to the correction coefficient corresponding to the environment temperature and the body fat rate of the user; the correction coefficient represents the degree of influence of the ambient temperature on the human body thermal resistance.
And the temperature difference determining unit is used for determining the temperature difference between the body surface temperature and the body internal temperature based on the human body thermal resistance and the human body heating power of the user.
Optionally, the body fat rate of the user is determined based on the body mass index of the user and a pre-stored corresponding relation; the body mass index of the user is determined based on the height and weight of the user; the correspondence represents a correspondence of a body mass index and a body fat rate.
Optionally, the ambient temperature and the body surface temperature are measured by two temperature sensors respectively; or the environment temperature is acquired from a weather network platform, and the body surface temperature is a result measured by the temperature sensor.
Optionally, the human body thermal resistance determination unit includes:
a fat thickness calculation subunit, configured to calculate a product of the body fat rate and the body weight of the user to obtain a total body fat weight, and determine a fat thickness of the user based on a ratio of the total body fat weight to a conversion coefficient; the conversion coefficient represents the conversion relationship between the total body fat weight and the fat thickness.
And the human body fat heat conductivity coefficient correcting subunit is used for correcting the preset human body fat heat conductivity coefficient according to the correction coefficient corresponding to the environment temperature.
And the human body thermal resistance calculating subunit is used for taking the ratio of the fat thickness to the corrected human body fat thermal conductivity coefficient as the human body thermal resistance of the user.
Optionally, the conversion factor is a product of a body fat density of the user and a human skin area.
The corrected human body fat heat conductivity coefficient is the product of the correction coefficient corresponding to the environment temperature and a preset human body fat heat conductivity coefficient.
Optionally, the determining of the human body heating power of the user includes:
and the total heating value determining module is used for determining the total heating value in the designated time according to the human body parameters of the user and the consumed heating value in the designated time.
And the human body heating power determining module is used for determining the heating value in unit time by using the total heating value in the specified time as the human body heating power of the user.
Optionally, the temperature difference determination unit includes:
and determining the temperature difference between the body surface temperature and the body internal temperature based on the product of the body thermal resistance and the body heating power of the user.
Optionally, the apparatus further comprises:
the reminding module is used for outputting reminding information to a user if the difference value between the environmental temperature and the preset normal body temperature of the human body is greater than a specified threshold value; the prompt message is used for reminding the user that the temperature measurement result in the body has an error.
Optionally, the internal body temperature determination module 42 includes:
obtaining the internal temperature of the user based on the matching of the environmental temperature, the body surface temperature, the body fat rate of the user and pre-stored measurement reference data; the measuring datum data are used for recording the corresponding relation between the body fat rate, the body surface temperature and the body internal temperature of the user under different environmental temperatures.
The implementation process of the functions and actions of each module in the body temperature measurement device is specifically detailed in the implementation process of the corresponding step in the body temperature measurement method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. One of ordinary skill in the art can understand and implement it without inventive effort.
Correspondingly, the present disclosure also provides an electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein,
the processor is configured to perform the operations of the in-vivo temperature measurement method as described above.
Correspondingly, this disclosure still provides an intelligence wearing equipment, its characterized in that includes:
a processor;
a memory for storing the processor-executable instructions;
two temperature sensors;
wherein,
one temperature sensor is used for measuring the body surface temperature, and the other temperature sensor is used for measuring the environmental temperature;
the processor is configured to perform the operations in the in-vivo temperature measurement method as described above.
Fig. 6 is a schematic structural diagram of an electronic device to which an in-vivo temperature measurement device is applied according to an exemplary embodiment.
As shown in fig. 6, according to an exemplary embodiment, an electronic device 600 is shown, where the electronic device 600 may be an intelligent wearable device such as a watch and a bracelet, or may be a mobile terminal such as a smart phone, a tablet, a notebook, a personal digital assistant (PAD), or may be a computing device such as a cloud.
Referring to fig. 6, electronic device 600 may include one or more of the following components: a processing component 601, a memory 602, a power component 603, a multimedia component 604, an audio component 605, an interface for input/output (I/O) 606, a sensor component 607, and a communication component 608.
The processing component 601 generally controls overall operation of the electronic device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 601 may include one or more processors 609 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 601 may include one or more modules that facilitate interaction between the processing component 601 and other components. For example, the processing component 601 may include a multimedia module to facilitate interaction between the multimedia component 604 and the processing component 601.
The memory 602 is configured to store various types of data to support operations at the electronic device 600. Examples of such data include instructions for any application or method operating on the electronic device 600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 602 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 603 provides power to the various components of the electronic device 600. The power components 603 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 600.
The multimedia component 604 comprises a screen providing an output interface between the electronic device 600 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 604 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 600 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The I/O interface 606 provides an interface between the processing component 601 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 607 includes one or more sensors for providing various aspects of status assessment for the electronic device 600. For example, the sensor component 607 may detect an open/closed state of the electronic device 600, the relative positioning of components, such as a display and keypad of the electronic device 600, the sensor component 607 may also detect a change in the position of the electronic device 600 or a component of the electronic device 600, the presence or absence of user contact with the electronic device 600, orientation or acceleration/deceleration of the electronic device 600, and a change in the temperature of the electronic device 600. The sensor component 607 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor component 607 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 607 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, a heart rate signal sensor, an electrocardiogram sensor, a fingerprint sensor, or a temperature sensor.
The communication component 608 is configured to facilitate wired or wireless communication between the electronic device 600 and other devices. The electronic device 600 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 66 receives 66 a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the 66 communication component 608 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as the memory 602 including instructions executable by the processor 609 of the electronic device 600 to perform the above-described method. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Wherein the instructions in the storage medium, when executed by the processor 609, enable the electronic device 600 to perform the in-vivo temperature measurement method described above.
A computer-readable storage medium having stored thereon a computer program which, when executed by one or more processors, causes the processors to perform the in vivo temperature measurement method described above.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
The above description is only exemplary of the present disclosure and should not be taken as limiting the disclosure, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (15)
1. An in vivo temperature measurement method, comprising:
acquiring an environment temperature and a body surface temperature of a user;
and determining the temperature in the body of the user according to the environment temperature, the body surface temperature of the user and the body fat rate of the user.
2. The method of claim 1, wherein determining the body temperature of the user according to the ambient temperature, the body surface temperature of the user, and the body fat percentage of the user comprises:
determining the temperature difference between the body surface temperature and the body internal temperature according to the environment temperature and the body fat rate of the user;
and obtaining the internal temperature of the user by using the body surface temperature and the temperature difference.
3. The method of claim 2, wherein determining the temperature difference between the body surface temperature and the body internal temperature according to the ambient temperature and the body fat ratio of the user comprises:
determining the human body thermal resistance of the user according to the correction coefficient corresponding to the environment temperature and the body fat rate of the user; the correction coefficient represents the influence degree of the environment temperature on the human body thermal resistance;
and determining the temperature difference between the body surface temperature and the body internal temperature based on the human body thermal resistance and the human body heating power of the user.
4. The method of claim 1, wherein the body fat percentage of the user is determined based on the body mass index of the user and a pre-stored corresponding relationship; the body mass index of the user is determined based on the height and weight of the user; the correspondence represents a correspondence of a body mass index and a body fat rate.
5. The method of claim 1, wherein the step of measuring the temperature in the body,
the environment temperature and the body surface temperature are respectively measured results of the two temperature sensors; or,
the ambient temperature is obtained from a weather network platform, and the body surface temperature is a result measured by the temperature sensor.
6. The method of claim 3, wherein the determining the body thermal resistance of the user according to the correction factor corresponding to the ambient temperature and the body fat rate of the user comprises:
calculating the product of the body fat rate and the body weight of the user to obtain the total body fat weight, and determining the fat thickness of the user based on the ratio of the total body fat weight to the conversion coefficient; the conversion coefficient represents the conversion relation between the total weight of the body fat and the thickness of the body fat;
correcting the preset human body fat heat conductivity coefficient according to the correction coefficient corresponding to the environment temperature;
and taking the ratio of the fat thickness to the corrected human body fat heat conductivity coefficient as the human body thermal resistance of the user.
7. The method of claim 6, wherein the step of measuring the temperature inside the body,
the conversion coefficient is the product of the body fat density of the user and the skin area of the human body;
the corrected human body fat heat conductivity coefficient is the product of the correction coefficient corresponding to the environment temperature and a preset human body fat heat conductivity coefficient.
8. The method of claim 3, wherein the determining the human body heating power of the user comprises:
determining the total heating value in the designated time according to the human body parameters of the user and the consumed heat in the designated time;
and determining the heating value in unit time by using the total heating value in the specified time as the human body heating power of the user.
9. The method of claim 3, wherein determining the temperature difference between the body surface temperature and the body internal temperature based on the body thermal resistance and the body heating power of the user comprises:
and determining the temperature difference between the body surface temperature and the body internal temperature based on the product of the body thermal resistance and the body heating power of the user.
10. The method of measuring an in vivo temperature according to claim 1, further comprising:
if the difference value between the environmental temperature and the preset normal body temperature of the human body is larger than a specified threshold value, outputting prompt information to a user; the prompt message is used for reminding the user that the temperature measurement result in the body has an error.
11. The method of claim 1, wherein determining the body temperature of the user according to the ambient temperature, the body surface temperature of the user, and the body fat percentage of the user comprises:
obtaining the internal temperature of the user based on the matching of the environmental temperature, the body surface temperature, the body fat rate of the user and pre-stored measurement reference data; the measuring datum data are used for recording the corresponding relation between the body fat rate, the body surface temperature and the body internal temperature of the user under different environmental temperatures.
12. An in-vivo temperature measuring device, comprising:
the temperature data acquisition module is used for acquiring the ambient temperature and the body surface temperature of a user;
and the internal temperature determining module is used for determining the internal temperature of the user according to the environment temperature, the body surface temperature of the user and the body fat rate of the user.
13. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein,
the processor configured to perform the in vivo temperature measurement method of any one of claims 1 to 11.
14. An intelligence wearing equipment which characterized in that includes:
a processor;
a memory for storing the processor-executable instructions;
two temperature sensors;
wherein,
one temperature sensor is used for measuring the body surface temperature, and the other temperature sensor is used for measuring the environmental temperature;
the processor configured to perform the in vivo temperature measurement method of any one of claims 1 to 11.
15. A computer-readable storage medium, having stored thereon a computer program which, when executed by one or more processors, causes the processors to perform the in vivo temperature measurement method of any one of claims 1 to 11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910754741.1A CN112386231A (en) | 2019-08-15 | 2019-08-15 | In-vivo temperature measuring method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910754741.1A CN112386231A (en) | 2019-08-15 | 2019-08-15 | In-vivo temperature measuring method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112386231A true CN112386231A (en) | 2021-02-23 |
Family
ID=74601658
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910754741.1A Pending CN112386231A (en) | 2019-08-15 | 2019-08-15 | In-vivo temperature measuring method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112386231A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102005029191A1 (en) * | 2005-06-22 | 2006-12-28 | Soehnle-Waagen Gmbh & Co. Kg | Person`s body core temperature determining method, involves calculating correction value from body size, weight, gender, pulse frequency or fat proportion, and calculating temperature from foot temperature, room temperature and value |
| CN101843476A (en) * | 2007-06-27 | 2010-09-29 | 杨福生 | Calibration facility of non-invasive core temperature measuring device and use method thereof |
| CN102355855A (en) * | 2009-02-20 | 2012-02-15 | 欧姆龙健康医疗事业株式会社 | Bioinformation measurement device, bioinformation measurement method, and body composition measurement device |
| US20160331244A1 (en) * | 2015-05-12 | 2016-11-17 | Razzberry Inc. | Core body temperature system |
| CN109154527A (en) * | 2016-05-27 | 2019-01-04 | 琼德泰克森谢尔有限公司 | Calibrate the heat flux sensor for measuring individual body temperature |
-
2019
- 2019-08-15 CN CN201910754741.1A patent/CN112386231A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102005029191A1 (en) * | 2005-06-22 | 2006-12-28 | Soehnle-Waagen Gmbh & Co. Kg | Person`s body core temperature determining method, involves calculating correction value from body size, weight, gender, pulse frequency or fat proportion, and calculating temperature from foot temperature, room temperature and value |
| CN101843476A (en) * | 2007-06-27 | 2010-09-29 | 杨福生 | Calibration facility of non-invasive core temperature measuring device and use method thereof |
| CN102355855A (en) * | 2009-02-20 | 2012-02-15 | 欧姆龙健康医疗事业株式会社 | Bioinformation measurement device, bioinformation measurement method, and body composition measurement device |
| US20160331244A1 (en) * | 2015-05-12 | 2016-11-17 | Razzberry Inc. | Core body temperature system |
| CN109154527A (en) * | 2016-05-27 | 2019-01-04 | 琼德泰克森谢尔有限公司 | Calibrate the heat flux sensor for measuring individual body temperature |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10191564B2 (en) | Screen control method and device | |
| US10101156B2 (en) | Method and apparatus for determining spatial parameter based on image and terminal device | |
| EP3162284B1 (en) | Communication method and apparatus for wearable device | |
| US11570745B2 (en) | Positioning method and apparatus | |
| CN106557201B (en) | Pressure detection method and device | |
| CN111200304B (en) | Temperature detection circuit, method and device of wireless charging coil and storage medium | |
| KR20190021113A (en) | Electronic device and method for measuring stress thereof | |
| CN109381164B (en) | Skin humidity detection method and device | |
| WO2020258556A1 (en) | Prompting method and device, and medium | |
| CN112082656A (en) | Temperature determination method and device, electronic equipment and storage medium | |
| CN108735218A (en) | voice awakening method, device, terminal and storage medium | |
| CN110706784A (en) | Calorie intake amount calculation method, device, system, apparatus, and storage medium | |
| CN112268634A (en) | Temperature monitoring method and device and storage medium | |
| CN108632391B (en) | Information sharing method and device | |
| CN112386231A (en) | In-vivo temperature measuring method, device, equipment and storage medium | |
| CN117716560A (en) | Battery temperature detection method, battery temperature detection circuit and device | |
| CN104655294A (en) | Body temperature measurement method and device as well as thermometer | |
| US20210298602A1 (en) | Information management system, and pairing method for measurement device and information terminal | |
| CN112986879B (en) | Fuel gauge correction method and device, electronic equipment and storage medium | |
| CN109211115B (en) | Measuring method and device | |
| CN112022081A (en) | Method for detecting eyesight, terminal equipment and computer readable storage medium | |
| CN111685738A (en) | Body temperature acquisition method and device, storage medium and electronic equipment | |
| JP2017507433A (en) | Smart index calculation method, apparatus, program, and recording medium | |
| CN215227566U (en) | Wearable device | |
| US20240172947A1 (en) | Electronic device and method of estimating blood flow information using the same |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210223 |
|
| RJ01 | Rejection of invention patent application after publication |