CN116107432B - Body temperature monitoring method for wearable temperature measuring equipment - Google Patents
Body temperature monitoring method for wearable temperature measuring equipment Download PDFInfo
- Publication number
- CN116107432B CN116107432B CN202310073510.0A CN202310073510A CN116107432B CN 116107432 B CN116107432 B CN 116107432B CN 202310073510 A CN202310073510 A CN 202310073510A CN 116107432 B CN116107432 B CN 116107432B
- Authority
- CN
- China
- Prior art keywords
- calibration
- temperature
- temperature value
- environment
- wearable
- 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.)
- Active
Links
- 230000036760 body temperature Effects 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000012544 monitoring process Methods 0.000 title claims abstract description 37
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 22
- 230000007613 environmental effect Effects 0.000 claims description 11
- 238000012360 testing method Methods 0.000 description 2
- 238000004861 thermometry Methods 0.000 description 2
- 206010037660 Pyrexia Diseases 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009885 systemic effect Effects 0.000 description 1
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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
- A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
- A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Pathology (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Human Computer Interaction (AREA)
- General Physics & Mathematics (AREA)
- Biophysics (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Measuring Temperature Or Quantity Of Heat (AREA)
Abstract
A body temperature monitoring method for a wearable temperature measurement device, the wearable temperature measurement device including a calibration command selection interface for temperature data, the body temperature monitoring method comprising: receiving a calibration command selected by a user through the calibration command selection interface; judging the type of the calibration command according to the calibration command; according to the calibration command type, carrying out initial data calibration according to a preset algorithm corresponding to the calibration command type; continuously collecting a human body temperature value and an environment temperature value according to a preset time interval; according to the human body temperature value, the environment temperature value, the preset standard environment temperature value and the generated temperature calibration parameter at the current moment, the final temperature value at each moment is obtained according to a preset algorithm, and the accuracy and the referenceability of the body temperature monitoring result obtained by the method are better.
Description
Technical Field
The invention relates to the technical field of body temperature monitoring, in particular to a body temperature monitoring method for wearable temperature measuring equipment.
Background
Changes in body temperature have long been recognized as important indicators of disease, such as: fever is indicative of systemic infection. In some diagnosis and treatment processes, doctors need to evaluate the condition by combining the temperature change condition of patients, and the temperature monitoring is not only in the clinical medicine field, but also increasingly in the fields of aged care, epidemic prevention and the like.
At present, some body temperature monitoring methods of wearable temperature measuring equipment are to continuously collect body temperature of a human body through one temperature sensor to realize body temperature monitoring, and other methods are to collect temperatures of different parts of the human body through a plurality of temperature sensors respectively and process a plurality of collected temperature values to obtain a final body temperature, and the existing body temperature monitoring methods ignore factors which influence body temperature monitoring accuracy in actual use, such as: the temperature measurement equipment can generate temperature drift when the environmental temperature changes greatly or the user changes, and the temperature drift can reduce the accuracy of the body temperature monitoring result.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a body temperature monitoring method for wearable temperature measuring equipment, and the accuracy and the referenceability of a body temperature monitoring result obtained by the method are better.
According to a first aspect, in one embodiment there is provided a body temperature monitoring method for a wearable thermometry device including a calibration command selection interface for temperature data, the body temperature monitoring method comprising: receiving a calibration command selected by a user through the calibration command selection interface; judging the type of the calibration command according to the calibration command; according to the calibration command type, carrying out initial data calibration according to a preset algorithm corresponding to the calibration command type; continuously collecting a human body temperature value and an environment temperature value according to a preset time interval; and obtaining a final temperature value at each moment according to a preset algorithm according to the human body temperature value, the environment temperature value, the preset standard environment temperature value and the generated temperature calibration parameter at the current moment at each moment.
In some embodiments, the types of calibration commands include: at least two of factory calibration, environmental change calibration, and user change calibration; the initial data calibration is performed according to the calibration command type and a preset algorithm corresponding to the calibration command type, and the initial data calibration comprises at least one of the following steps: when the type of the calibration command is factory calibration, calibrating the initial data according to a preset algorithm corresponding to the factory calibration; when the calibration command type is environment change calibration, calibrating the initial data according to a preset algorithm corresponding to the environment change calibration; and when the calibration command type is the user change calibration, performing the calibration of the initial data according to a preset algorithm corresponding to the user change calibration.
In some embodiments, when the calibration command type is an environmental change calibration, the calibrating the initial data according to a preset algorithm corresponding to the environmental change calibration includes: acquiring a generated temperature calibration parameter of the current use environment; and according to the temperature calibration parameters of the current use environment, calibrating the initial data of the wearable temperature measuring equipment in the current use environment.
In some embodiments, when the calibration command type is a user-variable calibration, the calibrating the initial data according to a preset algorithm corresponding to the user-variable calibration includes: acquiring the generated temperature calibration parameters of the current user; and according to the temperature calibration parameters of the current user, calibrating the initial data of the wearable temperature measuring equipment of the current user.
In some embodiments, the method for generating the temperature calibration parameter at the current time is: acquiring the human body temperature value and the environment temperature value at the current moment; and according to the human body temperature value at the current moment, the environment temperature value and a preset standard environment temperature value, the temperature calibration parameter at the current moment is obtained.
In some embodiments, the method for generating the temperature calibration parameter of the current use environment includes: acquiring environment data of a place where the wearable temperature measuring equipment is located in a current use environment; and obtaining the temperature calibration parameters of the current use environment according to the environment data and the preset standard environment data value.
In some embodiments, the environmental data includes at least one of: temperature data and air humidity data.
In some embodiments, the method for generating the temperature calibration parameters of the current user is as follows: acquiring a human body temperature value of a current user; and obtaining the temperature calibration parameters of the current user according to the human body temperature value of the current user and the preset standard human body temperature value.
In some embodiments, the human body temperature value is collected by a heat sensitive sensor disposed on the wearable temperature measurement device, and the ambient temperature value is collected by an infrared sensor disposed on the wearable temperature measurement device.
According to a second aspect, in one embodiment there is provided a body temperature monitoring method for a wearable thermometry device comprising a calibration command selection interface for temperature data, the body temperature monitoring method comprising: the wearable temperature measuring equipment receives the calibration command selected by a user through the calibration command selection interface; the wearable temperature measurement equipment judges the type of the calibration command according to the calibration command, wherein the type of the calibration command comprises at least two of factory calibration, environment change calibration and user change calibration; the wearable temperature measuring equipment performs initial data calibration according to the calibration command type and a preset algorithm corresponding to the calibration command type; the wearable temperature measuring equipment collects a human body temperature value and an environment temperature value according to a preset time interval; the wearable temperature measuring equipment sends the acquired human body temperature value and the acquired environment temperature value at each moment to a cloud server in real time; the cloud server obtains a final temperature value at each moment according to a preset algorithm according to the human body temperature value, the environment temperature value, a preset standard environment temperature value and the generated temperature calibration parameter at each moment; and the cloud server sends the final temperature value at each moment to the wearable temperature measuring equipment and the integrated temperature monitoring end respectively.
According to the body temperature monitoring method for the wearable temperature measuring equipment, a user selects the type of the calibration command through the calibration command selection interface of the wearable test equipment, performs calibration of initial data of the wearable temperature measuring equipment according to the preset algorithm corresponding to the type of the calibration command, then performs continuous body temperature monitoring, and obtains a final temperature value at each moment according to the preset algorithm according to the human body temperature value, the environment temperature value, the preset standard environment temperature value and the generated temperature calibration parameter at the current moment in the body temperature monitoring process, so that the accuracy and the referenceof the body temperature monitoring result obtained by the method are better.
Drawings
FIG. 1 is a flow chart of a method of body temperature monitoring;
FIG. 2 is a flow chart of an embodiment;
FIG. 3 is a flow chart of another embodiment;
FIG. 4 is a flow chart of another embodiment;
FIG. 5 is a flow chart of another embodiment;
FIG. 6 is a flow chart of another embodiment;
fig. 7 is a flow chart of another embodiment.
Detailed Description
The invention will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, some operations associated with the present application have not been shown or described in the specification to avoid obscuring the core portions of the present application, and may not be necessary for a person skilled in the art to describe in detail the relevant operations based on the description herein and the general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The temperature measurement accuracy of the wearable temperature measurement equipment in use can be influenced by various factors, if the influence of the factors is ignored and the calibration of the initial temperature data of the temperature measurement equipment is not performed in time, the measured body temperature value can generate larger deviation, and the accuracy and the referenceability of the body temperature monitoring result are poor.
Based on the above problems, the invention provides a body temperature monitoring method for a wearable temperature measuring device, the wearable temperature measuring device can calibrate initial data of the wearable temperature measuring device according to a preset algorithm corresponding to a type of a calibration command selected by a user through the calibration command, and then continuous body temperature monitoring is carried out, in a body temperature monitoring process, according to a human body temperature value, an environment temperature value, a preset standard environment temperature value and a generated temperature calibration parameter at the current moment, a final temperature value at each moment is obtained according to the preset algorithm, and the accuracy and the referenceability of a body temperature monitoring result obtained by the method are better.
Referring to fig. 1, referring to a body temperature monitoring method for a wearable temperature measuring device provided by an embodiment of the present invention, the wearable temperature measuring device includes a calibration command selection interface for temperature data, and the body temperature monitoring method includes:
s10: and receiving a calibration command selected by a user through a calibration command selection interface.
In some embodiments, the calibration command selection interface may be a key set on the wearable temperature measurement device, or may be an interface for receiving a remote control command, where the main controller of the wearable temperature measurement device responds to the calibration command selected by the wearer or the monitor through the calibration command selection interface, and in practical application, the calibration command selection interface may be adjusted to other forms as required.
S20: and judging the type of the calibration command according to the calibration command.
In some embodiments, the types of calibration commands include: at least two of factory calibration, environmental change calibration, and user change calibration.
S30: and according to the type of the calibration command, carrying out calibration on initial data according to a preset algorithm corresponding to the type of the calibration command.
In some embodiments, according to the type of the calibration command, the calibration of the temperature data is performed according to a preset algorithm corresponding to the type of the calibration command, please refer to fig. 2, including at least one of the following:
s31: and when the type of the calibration command is factory calibration, carrying out initial data calibration according to a preset algorithm corresponding to the factory calibration.
The existing temperature measurement equipment is generally provided with a factory calibration interface, a user can calibrate initial data by triggering the factory calibration interface, and related factory calibration algorithms are not described herein.
S32: when the type of the calibration command is environment change calibration, initial data is calibrated according to a preset algorithm corresponding to the environment change calibration.
In some embodiments, when the calibration command type is environment change calibration, initial data calibration is performed according to a preset algorithm corresponding to environment change calibration, please refer to fig. 3, which includes:
s321: the generated temperature calibration parameters of the current use environment are obtained.
S322: and according to the temperature calibration parameters of the current use environment, calibrating the initial data of the wearable temperature measuring equipment in the current use environment.
In some embodiments, a method for generating a temperature calibration parameter of a current usage environment, please refer to fig. 4, includes:
s3221: environmental data of a place where the wearable temperature measuring equipment is located in a current use environment is obtained.
In practical application, when the environment where the wearable temperature measuring device is located changes, the temperature data and the air humidity data in the current use environment will affect the accuracy of the temperature measuring device, so the calibration of the device temperature data in the embodiment includes environment change calibration, and factors of the temperature data and the air humidity data are considered when the environment change calibration is performed.
S3222: and obtaining the temperature calibration parameters of the current use environment according to the environment data and the preset standard environment data value.
According to the method, the temperature calibration parameters of the current use environment are obtained through data fitting of the environment data and the preset standard environment data values, other methods can be adopted to obtain the temperature calibration parameters of the current use environment when the method is applied, and initial data of the wearable test equipment are calibrated according to the temperature calibration parameters of the current use environment.
S33: when the type of the calibration command is the user change calibration, the initial data is calibrated according to a preset algorithm corresponding to the user change calibration.
In practical applications, the base temperatures of the human bodies are different from each other, so that when the user of the wearable temperature measuring device changes, the accuracy of the temperature measuring device is affected, and the calibration of the initial data of the device in the embodiment includes the calibration of the user change.
In some embodiments, when the calibration command type is a user-variable calibration, the initial data calibration is performed according to a preset algorithm corresponding to the user-variable calibration, please refer to fig. 5, which includes:
s331: the generated temperature calibration parameters of the current user are obtained.
S332: and according to the temperature calibration parameters of the current user, calibrating the initial data of the wearable temperature measuring equipment of the current user.
In some embodiments, the method for generating the temperature calibration parameters of the current user, please refer to fig. 6, includes:
s3321: the human body temperature value of the current user is obtained.
S3322: and obtaining the temperature calibration parameters of the current user according to the human body temperature value of the current user and the preset standard human body temperature value.
According to the method, the temperature calibration parameters of the current user can be obtained by performing data fitting on the human body temperature value of the current user and the preset standard human body temperature value, and the temperature calibration parameters of the current user can be obtained by other methods when the method is applied.
S40: and continuously collecting the human body temperature value and the environment temperature value according to a preset time interval.
When the method is applied, the preset time interval can be adaptively adjusted according to actual needs.
S50: and obtaining a final temperature value at each moment according to a preset algorithm according to the human body temperature value, the environment temperature value, the preset standard environment temperature value and the generated temperature calibration parameter at the current moment at each moment.
In some embodiments, the final temperature value at each instant is obtained by the following formula:
T b ＝T 0 +(T 1 -H) Λ 3×A 1 +(T 1 -H) Λ 2×A 2 +(T 1 -H)×A 3 +A 4 ......
wherein T is b For the final temperature value, T 0 Is the temperature value of human body, T 1 Is a preset standard ambient temperature value, H is an ambient temperature value, A 1 、A 2 、A 3 、A 4 For the calibration parameters at the current moment, the more the number of the calibration parameters is, the more accurate the obtained final temperature value is, and the adjustment can be carried out according to the temperature measurement precision requirement in practical application.
When the method is applied, each preset algorithm corresponding to the calibration command type can be deployed at a cloud server or a wearable temperature measuring device, when the preset algorithm is deployed at the cloud server, the wearable temperature measuring device sends the acquired human body temperature value and environment temperature value at each moment to a cloud server in real time, the cloud server obtains a final temperature value at each moment according to the human body temperature value, the environment temperature value and the generated temperature calibration parameters at each moment and the preset algorithm, and the cloud server sends the final temperature value at each moment to the wearable temperature measuring device and the body temperature monitoring device respectively.
In some embodiments, as shown in fig. 7, the method for generating the temperature calibration parameter at the current time is:
s51: and acquiring a human body temperature value and an environment temperature value at the current moment.
In some embodiments, the human body temperature value is collected by a heat sensitive sensor disposed on the wearable temperature measurement device, and the ambient temperature value is collected by an infrared sensor disposed on the wearable temperature measurement device.
S52: and according to the human body temperature value at the current moment, the environment temperature value and the preset standard environment temperature value, the temperature calibration parameters at the current moment are obtained.
In some embodiments, the temperature calibration parameter at the current time is obtained by fitting the human body temperature value, the ambient temperature value and the preset standard ambient temperature value at the current time, and other methods may be adopted when the temperature calibration parameter is applied.
The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be limiting. Several simple deductions, modifications or substitutions may also be made by a person skilled in the art to which the invention pertains, based on the idea of the invention.
Claims (9)
1. A body temperature monitoring method for a wearable temperature measurement device, the wearable temperature measurement device comprising a calibration command selection interface for temperature data, the body temperature monitoring method comprising:
receiving a calibration command selected by a user through the calibration command selection interface;
judging the type of the calibration command according to the calibration command;
according to the calibration command type, carrying out initial data calibration according to a preset algorithm corresponding to the calibration command type;
continuously collecting a human body temperature value and an environment temperature value according to a preset time interval;
obtaining a final temperature value at each moment according to a preset algorithm according to the human body temperature value, the environment temperature value, a preset standard environment temperature value and the generated temperature calibration parameter at the current moment at each moment;
the types of the calibration command include: at least two of factory calibration, environmental change calibration, and user change calibration;
the initial data calibration is performed according to the calibration command type and a preset algorithm corresponding to the calibration command type, and the initial data calibration comprises at least one of the following steps:
when the type of the calibration command is factory calibration, calibrating the initial data according to a preset algorithm corresponding to the factory calibration;
when the calibration command type is environment change calibration, calibrating the initial data according to a preset algorithm corresponding to the environment change calibration;
and when the calibration command type is the user change calibration, performing the calibration of the initial data according to a preset algorithm corresponding to the user change calibration.
2. The method of claim 1, wherein when the calibration command type is an environmental change calibration, performing the calibration of the initial data according to a preset algorithm corresponding to the environmental change calibration, comprises:
acquiring a generated temperature calibration parameter of the current use environment;
and according to the temperature calibration parameters of the current use environment, calibrating the initial data of the wearable temperature measuring equipment in the current use environment.
3. The method of claim 1, wherein when the calibration command type is a user-variable calibration, performing the calibration of the initial data according to a preset algorithm corresponding to the user-variable calibration, comprises:
acquiring the generated temperature calibration parameters of the current user;
and according to the temperature calibration parameters of the current user, calibrating the initial data of the wearable temperature measuring equipment of the current user.
4. The method of claim 1, wherein the method of generating the temperature calibration parameter for the current time is:
acquiring a human body temperature value and the environment temperature value at the current moment;
and according to the human body temperature value at the current moment, the environment temperature value and a preset standard environment temperature value, the temperature calibration parameter at the current moment is obtained.
5. The method of claim 2, wherein the method of generating the temperature calibration parameter for the current use environment comprises:
acquiring environment data of a place where the wearable temperature measuring equipment is located in a current use environment;
and obtaining the temperature calibration parameters of the current use environment according to the environment data and the preset standard environment data value.
6. The method of claim 5, wherein the environmental data comprises at least one of: temperature data and air humidity data.
7. A method according to claim 3, wherein the method of generating the temperature calibration parameters of the currently used person is:
acquiring a human body temperature value of a current user;
and obtaining the temperature calibration parameters of the current user according to the human body temperature value of the current user and the preset standard human body temperature value.
8. The method of claim 1, wherein the body temperature value is collected by a heat sensitive sensor disposed on the wearable temperature measurement device and the ambient temperature value is collected by an infrared sensor disposed on the wearable temperature measurement device.
9. A body temperature monitoring method for a wearable temperature measurement device, the wearable temperature measurement device including a calibration command selection interface for temperature data, the body temperature monitoring method comprising:
the wearable temperature measuring equipment receives the calibration command selected by a user through the calibration command selection interface;
the wearable temperature measurement equipment judges the type of the calibration command according to the calibration command, wherein the type of the calibration command comprises at least two of factory calibration, environment change calibration and user change calibration;
the wearable temperature measuring equipment performs initial data calibration according to the calibration command type and a preset algorithm corresponding to the calibration command type;
the wearable temperature measuring equipment collects a human body temperature value and an environment temperature value according to a preset time interval;
the wearable temperature measuring equipment sends the acquired human body temperature value and the acquired environment temperature value at each moment to a cloud server in real time;
the cloud server obtains a final temperature value at each moment according to a preset algorithm according to the human body temperature value, the environment temperature value, a preset standard environment temperature value and the generated temperature calibration parameter at each moment;
and the cloud server sends the final temperature value at each moment to the wearable temperature measuring equipment and the integrated temperature monitoring end respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310073510.0A CN116107432B (en) | 2023-01-13 | 2023-01-13 | Body temperature monitoring method for wearable temperature measuring equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310073510.0A CN116107432B (en) | 2023-01-13 | 2023-01-13 | Body temperature monitoring method for wearable temperature measuring equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116107432A CN116107432A (en) | 2023-05-12 |
| CN116107432B true CN116107432B (en) | 2024-02-13 |
Family
ID=86253795
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310073510.0A Active CN116107432B (en) | 2023-01-13 | 2023-01-13 | Body temperature monitoring method for wearable temperature measuring equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116107432B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111812181A (en) * | 2020-07-21 | 2020-10-23 | 艾感科技(广东)有限公司 | Remote calibration method and system for gas sensor |
| CN113854973A (en) * | 2021-09-28 | 2021-12-31 | 广东小天才科技有限公司 | Body temperature measuring method and device, wearable device and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11596832B2 (en) * | 2015-06-23 | 2023-03-07 | Ipcomm Llc | Method and apparatus for early detection of diabetic foot disorders by analyzing foot temperature and vertical and shear forces on feet |
| US20200323435A1 (en) * | 2019-04-09 | 2020-10-15 | Vital Connect, Inc. | Device, System, and Method for Determining Patient Body Temperature |
-
2023
- 2023-01-13 CN CN202310073510.0A patent/CN116107432B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111812181A (en) * | 2020-07-21 | 2020-10-23 | 艾感科技(广东)有限公司 | Remote calibration method and system for gas sensor |
| CN113854973A (en) * | 2021-09-28 | 2021-12-31 | 广东小天才科技有限公司 | Body temperature measuring method and device, wearable device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116107432A (en) | 2023-05-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104655327B (en) | Resistance temperature detector verification system and method | |
| KR101326195B1 (en) | Quantum theory correction method and system for improving accuracy of radiation thermometer | |
| EP2244629A2 (en) | Whole body infrared thermography systems and methods | |
| CN103479339A (en) | Infrared body temperature monitoring automatic calibration method and system | |
| JP2010511894A (en) | Detection of temperature sensor configuration in a process variable transmitter | |
| CN104887194A (en) | Method and device for detecting physical signs | |
| CN106092375B (en) | The method of calibration and tester of airborne equipment surface temperature sensor | |
| CN104220859A (en) | System for measuring a palmar gripping force | |
| CN116107432B (en) | Body temperature monitoring method for wearable temperature measuring equipment | |
| JP2603004B2 (en) | Temperature measuring device and method for providing temperature signal | |
| JP3040444B2 (en) | Thermometer | |
| KR20160041511A (en) | Body temperature measurement device and method thereof | |
| Pušnik et al. | IR ear thermometers: what do they measure and how do they comply with the EU technical regulation? | |
| CN111579093A (en) | Infrared body temperature measuring instrument | |
| CN113670477A (en) | Ear temperature measuring device, ear temperature measuring method and earphone | |
| CN109620172A (en) | A kind of measurement of encephalic temperature, calculation method and measuring device | |
| KR101880629B1 (en) | Temperature sensing system using least square method | |
| US20220054042A1 (en) | Motion state monitoring system, training support system, method for controlling motion state monitoring system, and control program | |
| CN111436938B (en) | Limb swelling monitoring device and method | |
| DE102013017911A1 (en) | Method and device for improving and stabilizing the accuracy of infrared cameras for real-time temperature measurement | |
| WO2006067371A1 (en) | A method and apparatus for checking in situ the calibration of a device for measuring the value of a variable property | |
| CN112880838A (en) | Infrared body temperature detection method, storage medium and infrared body temperature detection device | |
| KR100578149B1 (en) | A thermometer | |
| JPH06233745A (en) | Clinical thermometer with blood oxygen quantity measuring function | |
| Hadi et al. | Telecare Device System Based on Patient Body Temperature |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |