CN111568391A - Body temperature detection method - Google Patents
Body temperature detection method Download PDFInfo
- Publication number
- CN111568391A CN111568391A CN202010440929.1A CN202010440929A CN111568391A CN 111568391 A CN111568391 A CN 111568391A CN 202010440929 A CN202010440929 A CN 202010440929A CN 111568391 A CN111568391 A CN 111568391A
- Authority
- CN
- China
- Prior art keywords
- temperature
- body temperature
- data processing
- value
- processing center
- 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.)
- Granted
Links
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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0008—Temperature signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7221—Determining signal validity, reliability or quality
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
-
- 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
- A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Physiology (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Psychiatry (AREA)
- Computer Networks & Wireless Communication (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention discloses a body temperature detection method, and belongs to the technical field of temperature detection. The invention comprises the following steps: continuously measuring the temperature by using a wireless thermometer at a specified time interval, and sending original temperature measurement data and time data to a temperature data processing center; the temperature data processing center is provided with a minimum temperature threshold and a maximum temperature threshold of each time stage, the obtained original temperature measurement data is compared with the minimum and maximum temperature thresholds of the corresponding time stages, the original temperature measurement data between the minimum and maximum temperature thresholds is reserved as effective body temperature values, the whole point body temperature and the maximum body temperature value within a specified time length are selected from the effective body temperature values, the relevant information of a person to be measured is manually input and modified, the wireless thermometer is associated with the personal information of a wearer, and the personal detailed information associated with the wireless thermometer and the corresponding body temperature information are displayed. The invention can efficiently, accurately and intelligently carry out non-contact real-time continuous body temperature detection on a large number of temperature-measured persons.
Description
Technical Field
The invention belongs to the technical field of temperature detection, and particularly relates to a body temperature detection method.
Background
The new coronavirus is mainly transmitted through respiratory droplets, close contact and other ways, based on the current epidemiological investigation, the latent period is 1-14 days, mostly 3-7 days, the latent period has infectivity, asymptomatic infectors can also become sources of infection, and the population is generally susceptible. After the new coronavirus is infected, the initial symptoms of a patient are fever, hypodynamia and dry cough, severe manifestations such as dyspnea and the like gradually appear, and acute respiratory distress syndrome or septic shock can appear in some severe cases, and even death can occur. At present, because the lack of effective antiviral drugs against pathogens is mainly used for isolation treatment and symptomatic support treatment, whether infected persons or even asymptomatic infected persons can be identified and isolated before the vaccine comes out is the central importance of epidemic prevention work at present.
The identification of patients with fever by measuring body temperature is one of the main means of detection at present. However, there are also asymptomatic infected persons who do not have symptoms of persistent fever and whose occasional thermometry does not identify them; because the duration of fever is short, asymptomatic infected persons often have no obvious feeling of physical discomfort and cannot perceive the person. These asymptomatic infected persons are still contagious, which brings great risks to the safety of the persons in contact with the asymptomatic infected persons and the public, and also brings great difficulties and gaps to the prevention and control of infectious diseases. Therefore, there is a need for a method that can continuously measure body temperature and effectively filter thermometry data to identify infected or even asymptomatic infected persons. On the other hand, in an epidemic area, a large number of confirmed cases almost exceed the bearing capacity of a hospital, the workload of medical staff is extremely large, and the phenomenon of overload work generally exists. However, many people who have a history of overexposure to confirmed cases cannot be diagnosed because they are possibly infected with new coronavirus but are still latent, and need to be isolated and continuously detected, which also increases the workload of medical staff. The real-time detection of the body temperature of the confirmed personnel and the isolated observers urgently needs an efficient, accurate and intelligent way to solve the problem.
Disclosure of Invention
The invention aims to provide a body temperature detection method which can efficiently, accurately and intelligently carry out non-contact real-time continuous body temperature detection on a large number of temperature-measured persons.
Specifically, the invention provides a body temperature detection method, which comprises the following steps:
continuously detecting the body temperature by using a wireless thermometer according to a specified time interval, and sending original temperature measurement data and corresponding time data to a temperature data processing center;
and the temperature data processing center is provided with a minimum temperature threshold and a maximum temperature threshold of each time stage, compares the obtained original temperature measurement data with the minimum temperature threshold and the maximum temperature threshold of the corresponding time stage, and retains the original temperature measurement data between the minimum temperature threshold and the maximum temperature threshold of the time stage as an effective body temperature value.
Further, when the original temperature measurement data is lower than the set lowest temperature threshold value of the corresponding time phase or higher than the highest temperature threshold value of the corresponding time phase, the temperature data processing center marks the original temperature measurement data as an invalid value for filtering.
Furthermore, the temperature data processing center is provided with a temperature gear threshold, and the effective body temperature value is compared with the temperature gear threshold to judge the temperature gear to which the effective body temperature value belongs.
Further, after obtaining the effective body temperature value, the temperature data processing center selects a most suitable temperature in an integral time period from the effective body temperature values reported in the integral time period as the integral point body temperature value, and the specific steps are as follows:
setting a time window, wherein the width of the time window is greater than the integral time period of the effective body temperature value to be selected;
weighting each effective body temperature value reported in the time window through a weighting coefficient;
and sorting the weighted effective body temperature values in the time window according to the temperature values, and selecting the effective body temperature value before weighting corresponding to the temperature value with the assigned sequence number after sorting as the integral point body temperature value of the integral point.
Further, after the integral point body temperature value is selected, the method further comprises the following steps: and the temperature data processing center selects the highest body temperature value within the specified time length, compares the highest body temperature value with a preset temperature gear threshold value, and judges the temperature gear to which the highest body temperature value belongs.
Further, the maximum body temperature value within the specified time length is as follows: and the highest value in all the integral point body temperature values in the specified time length.
Furthermore, the temperature data processing center is embedded in the wireless thermometer or is separately arranged outside the wireless thermometer.
Further, the body temperature detection method further comprises the following steps: the temperature data processing center receives the unique identification of the wireless thermometer, binds the wireless thermometer with the temperature-measured person through the identification, and classifies, displays and sorts the related data and information of the temperature-measured person according to the use requirements.
Furthermore, the temperature data processing center provides the functions of manually inputting and modifying the relevant information of the temperature-measured person, and displays the corresponding temperature curve and the relevant information of the temperature-measured person bound by the wireless thermometer.
Furthermore, the wireless thermometer comprises a temperature measuring probe and a main body part, wherein the temperature measuring probe is connected with the main body part through a flexible connecting part, the flexible connecting part is made of elastic flexible materials, one end of the flexible connecting part is connected with the temperature measuring probe, and the other end of the flexible connecting part is connected with the main body part; the temperature measuring probe transmits the measured real-time temperature data as original temperature measuring data to the embedded temperature data processing center for data processing, or the main body part is provided with a wireless transceiver module which transmits the real-time temperature data measured by the temperature measuring probe as original temperature measuring data to the temperature data processing center separately arranged outside the wireless body temperature meter for data processing.
The body temperature detection method has the following beneficial effects:
by fixing the wireless thermometer on the underwear of each temperature-measured person close to the armpit or the root of the thigh, the user or other persons can remotely monitor the heating state of the wearer in real time through a mobile phone, a PAD, a computer and the like, wherein the heating state comprises a low-temperature state, a medium-temperature state, a high-temperature state or a normal state. The contact among the personnel can be reduced, the dynamic body temperature of all the personnel can be known in real time, and the automatic continuous body temperature monitoring device is particularly suitable for automatic continuous body temperature monitoring of large-scale personnel in hospitals, schools, communities, enterprises and public institutions, vehicles, public places and centralized isolation areas.
By setting the body temperature experience database of the healthy population and adopting the lowest temperature threshold and the highest temperature threshold of each time stage, the fluctuation of the normal body temperature range of the temperature-measured person in each time stage is considered, the invalid temperature value in the reported temperature data can be effectively removed, the subsequent data filtering processing based on the reasonable valid temperature value is ensured, and the accuracy of judging the body temperature is improved; meanwhile, when invalid temperature values appear, medical staff can be timely reminded to detect whether the thermometer is not worn correctly, and missing detection and a large amount of invalid data are avoided.
By selecting the integral point body temperature value of the temperature-measured person, the measurement error caused by the integral point reported temperature deviation is effectively eliminated.
Selecting the highest body temperature value within a specified time length to judge whether the patient has fever within the latest time length; particularly, for asymptomatic infected persons, once a transient fever occurs, the asymptomatic infected persons can be recorded, so that the asymptomatic infected persons can be conveniently and reliably screened; and because the integral point body temperature value is adopted, the measurement error is eliminated, and the temperature abnormality of the measured temperature caused by the measurement error can be effectively distinguished from the temperature abnormality of the transient fever.
When the body temperature value reaches the low fever, middle fever and high fever body temperature range according to the preset threshold value in the body temperature experience library of the healthy people, the temperature data processing center can respectively display yellow, orange and red body temperature values to prompt monitoring personnel to pay attention to the abnormal body temperature; furthermore, when the fever of the person to be measured is detected, the operator of the temperature data processing center can input the personal information such as the name of the person to be measured, and can also input the personal information such as the names of other persons to be measured adjacent to the person to be measured according to the sequence of high fever, middle fever and low fever, so that the person to be measured who is a fever is diagnosed, and close contacts who need to be isolated and observed can be screened timely.
By binding the wireless thermometer with the temperature-measured person, the temperature data processing center can divide the temperature-measured person into different ward areas, and display and sort the related data and information of the temperature-measured person in each current ward area.
Drawings
FIG. 1 is a schematic diagram of the system components of an embodiment of the present invention.
Fig. 2 is a flowchart of a body temperature detection method according to an embodiment of the present invention (temperature data processing is external).
Fig. 3 is a flowchart of a body temperature detection method according to an embodiment of the present invention (the wireless thermometer is embedded in both temperature data processing and display).
Fig. 4 is a flowchart of a body temperature detection method according to an embodiment of the present invention (temperature data processing is embedded in an invalid thermometer, and data display is external).
Fig. 5 is a schematic view of a wireless thermometer according to an embodiment of the invention.
FIG. 6 is a data processing flow diagram of an embodiment of the present invention.
FIG. 7 is a schematic diagram showing temperature and sequence by lesion in accordance with an embodiment of the present invention.
FIG. 8 is a schematic diagram of different temperature intervals differentiated by different colors according to an embodiment of the present invention.
FIG. 9 is a schematic diagram of the temperature curve of the subject to be measured according to the embodiment of the present invention.
FIG. 10 is a diagram illustrating personal details of a person whose temperature is to be measured according to an embodiment of the present invention.
The labels in the figure are: 1-temperature measuring probe, 2-flexible connecting part and 3-main body part.
Detailed Description
The present invention will be described in further detail with reference to the following examples and the accompanying drawings.
Example 1:
one embodiment of the present invention is a thermometry system, the system components are shown in fig. 1. The temperature measurement system of the embodiment comprises a wireless thermometer, a base station and a temperature data processing center. Each wireless thermometer has a unique serial number which is used as a unique identifier of the wireless thermometer and is used for identifying the wireless thermometer. During testing, the wireless temperature detector is fixed on the body of a temperature-measured person, measures temperature continuously in real time and sends the temperature to the base station in a wireless mode. The base station can receive data sent by a plurality of wireless thermometers, wherein the data comprises a temperature value, detection time, a serial number of the thermometer, electric quantity of the wireless thermometer and the like. And after receiving the data transmitted by the base station, the temperature data processing center processes the data and displays and alarms at a client side which can access the temperature data processing center. And a plurality of base stations can be accessed to the temperature measuring platform management center through the switch. The temperature measurement system of this embodiment can realize the wireless network deployment of a plurality of wireless clinical thermometers, carries out remote monitoring and early warning to a plurality of testees' body temperatures anytime and anywhere.
It can be understood that the body temperature detection method of the present embodiment is not limited to body temperature monitoring for human, and body temperature monitoring for livestock, pets, wild animals, and the like may also be performed.
In this embodiment, the temperature data processing center processes the temperature data, and is implemented by a cloud server independent of the wireless thermometer, and the display function and the alarm function are implemented by a device capable of accessing the cloud server, such as a handheld mobile terminal. The temperature data processing center of the present invention is not limited to be implemented by a cloud server, and may be implemented by a device having a data processing function, such as a handheld mobile terminal, a communication base station, a local computer or server, or a network server, which is provided outside the wireless thermometer and wirelessly communicates with the wireless thermometer. Under the condition, the wireless thermometer measures the temperature in real time and sends the temperature to equipment with a temperature data processing function for data processing, the display function is realized by a display device, and the alarm function is realized by an alarm device; the process flow of the body temperature monitoring method of the present embodiment is shown in fig. 2. It can be understood that the display function and the alarm function of the present invention can be implemented by devices that are independent of the wireless thermometer and implement the function of the temperature data processing center, such as a handheld mobile terminal, a communication base station, a local computer or server, a network server or a cloud server, etc. that communicate with the wireless thermometer in a wireless manner; the process flow of the body temperature monitoring method in this manner is also shown in fig. 2. The temperature data processing center, the display function and the alarm function can be embedded in the wireless thermometer, for example, the wireless thermometer is embedded with the MUC, so that the function of the temperature data processing center in the embodiment is realized, and meanwhile, the wireless thermometer is provided with the display unit and the alarm unit, so that the functions of real-time temperature measurement, temperature data processing, display and alarm can be completed only by the wireless thermometer; the processing flow of the body temperature detection method in this manner is shown in fig. 3. The wireless thermometer completes real-time temperature measurement and temperature data processing, and the wireless thermometer sends data to be displayed to an external display device and an external alarm device for displaying and alarming; the process flow of the body temperature monitoring method in this manner is shown in fig. 4.
As shown in fig. 2, the processing flow of the body temperature detecting method of the present embodiment specifically includes the following steps:
firstly, detecting the temperature.
When the wireless thermometer is used for detecting the temperature in real time, the wireless thermometer is fixed at the position of the patient to be measured, which is close to the armpit as far as possible. The original temperature data comes from the wireless thermometer, the thermometer and the temperature-measured person are bound in the temperature data processing center, and the temperature is continuously measured during working, and the temperature value and temperature measurement time data are reported in real time. The reported data is refreshed at regular intervals under normal conditions. It is understood that other interval time measurements and reports may be used as desired.
The temperature data processing center provides a client or an APP for operators to operate through the Internet, and the client or the APP comprises wearing, taking down, deleting and inquiring details, which respectively represent the details (including personal information, temperature measurement data and the like) of a person to be measured who is added with the wireless thermometer equipment and performs body temperature detection, takes down the wireless thermometer equipment and finishes body temperature detection, deletes the wireless thermometer from the temperature data processing center, and inquires the details (including personal information, temperature measurement data and the like) of the person to be measured detected by the wireless thermometer. For example, when a wireless thermometer device is worn by a subject, and a mark corresponding to the wireless thermometer device, for example, a personal mark (name, id card number, or the like) or an affiliated unit mark (an affiliated department number, personal code, or the like) of the subject is "worn" in a temperature data processing center, the body temperature monitoring of the subject can be started.
The data are collected in real time, so that the risk of cross infection is reduced to the maximum extent; ensuring that the body temperature of the person to be measured is continuously and automatically recorded; the labor intensity of related relation people with temperature measurement such as hospitals, families, institutions, schools, enterprises and public institutions, social institutions and vehicles is reduced, and objective data is provided for real-time mastering of the body temperature of the people with temperature measurement.
As the tail end data acquisition device of the method of the present invention, it is an important part of implementing the method of the present invention that the wireless thermometer can effectively detect the body temperature for a long time in real time, so that the embodiment adopts a wireless thermometer as shown in fig. 5, the wireless thermometer includes a temperature probe 1 and a main body part 3, the temperature probe 1 and the main body part 3 are connected through a flexible connection part 2, one end of the flexible connection part 2 is connected to the temperature probe 1, and the other end is connected to the main body part 3.
The temperature probe 1 is a temperature sensing probe, and a temperature sensing diode can be generally adopted.
The flexible connecting part 2 can adopt the silica gel cover, wraps up in the outside of wire, plays the effect of protection wire on the one hand, and on the other hand, its soft characteristic can regard as the buffering between temperature probe 1 and the skin, reduces the direct uncomfortable sense of touching skin of top of hard thing, improves user's use and experiences.
The main body part 3 comprises a shell, wherein a fixing part which can connect the thermometer with clothes is arranged on the shell, the fixing part can be preferably disassembled, if the fixing part is of a buckle structure, the fixing part can be a safety pin, the shell is provided with the safety pin, the safety pin cannot fall off from underwear unless a user takes down the thermometer from the clothes intentionally, and therefore the wireless thermometer can be fixed on the inner side of the underwear and is close to a temperature measuring position, and the temperature measuring position is preferentially armpit and the inner side of thigh.
The wireless thermometer in the embodiment comprises a wireless receiving and transmitting signal module, a temperature data processing center independent of the wireless thermometer is arranged at a centralized monitoring place, and the wireless receiving and transmitting module sends real-time temperature data measured by a temperature measuring probe as original temperature measuring data to the temperature data processing center for data processing; thereby can realize through wireless receiving and transmitting signal module will be to the incessant real-time temperature data who measures of body temperature, send to temperature data processing center through basic station, switch and carry out data processing, can realize the real-time integrated monitoring of body temperature of group nature scene to can in time discriminate and select the unusual high-risk individual of body temperature in the group.
The embedded type wireless thermometer temperature measurement system has the advantages that when the temperature data processing center is embedded in the wireless thermometer, real-time temperature data measured by the temperature measurement probe of the wireless thermometer are transmitted to the embedded type temperature data processing center as original temperature measurement data to be processed, the temperature data of continuous real-time measurement of the body temperature and the real-time comprehensive monitoring of the body temperature of a single temperature-measured person scene can be realized, and therefore the temperature-measured person with abnormal body temperature and high risk can be screened out in time. When the temperature data processing center is embedded in the wireless thermometer, the display and alarm functions are independently arranged outside the wireless thermometer, and the temperature data processed by the temperature data processing center is sent to an external display device and an external alarm device through a wireless receiving and sending signal module of the wireless thermometer.
The wireless thermometer can be further internally provided with an alarm unit which is used for sending out alarm signals in the modes of sound, light and the like when the detected body temperature value is lower than the preset lowest temperature threshold value of each time stage or higher than the preset highest temperature threshold value of each time stage so as to remind a user that the binding band of the wireless thermometer is likely to be loosened and needs to be immediately re-bound. And setting a body temperature experience database of the healthy population, wherein the body temperature experience database comprises a lowest temperature threshold and a highest temperature threshold of each time phase, and judging whether the detected body temperature is lower than the set lowest temperature threshold of the corresponding time phase or higher than the set highest temperature threshold of the corresponding time phase. When the temperature is lower than the set lowest temperature threshold value in the corresponding time stage or higher than the set highest temperature threshold value in the corresponding time stage, the wireless thermometer embedded in the temperature data processing center sends an alarm signal to an internal alarm unit of the wireless thermometer for alarming after the judgment is finished, the alarm signal can also be sent to an external alarm device for alarming, and the temperature data processing center or the external alarm device can also give an alarm after the judgment is finished by a temperature data processing center arranged outside the wireless thermometer.
The wireless thermometer shell is internally provided with a battery which provides power for temperature measurement, data calculation, wireless transmission (when the display and alarm functions are arranged outside the wireless thermometer), display (when the display function is embedded in the wireless thermometer) and alarm (when the alarm function is embedded in the wireless thermometer).
The wireless thermometer is particularly suitable for the scenes of long-time and continuous body temperature monitoring of groups.
And secondly, data transmission.
In this embodiment, the temperature data processing center is disposed outside the wireless thermometers, and a base station can be disposed in the area where the people to be measured are located to receive data uploaded by all the wireless thermometers in the area. A wireless clinical thermometer to base station communication interface, including but not limited to a mobile communication network; and data transmission modes including but not limited to SI4455 data receiving and GPRS data uploading. An alarm may be generated when the data network is disconnected.
The base station and the temperature data processing center can communicate in real time through an internet mode, and data can be transmitted to the temperature data processing center for processing through storage media such as a U disk.
The display device, the alarm device and the temperature data processing center can be communicated in a wireless or wired mode.
The wireless thermometer is fixed to the armpit of a person to be measured in each hospital, family, office, school, enterprise and public institution, social institution or vehicle, and the monitoring or measured person can monitor the heating state of all people in real time through mobile phones, PADs, computers and other equipment, wherein the heating state comprises low-fever, medium-fever, high-fever or normal state. Is particularly suitable for automatic continuous body temperature monitoring of large-scale personnel.
When the temperature data processing center is embedded in the wireless thermometer, the temperature measuring probe in the wireless thermometer transmits data to the embedded temperature data processing center to complete real-time temperature measurement and temperature data processing.
And thirdly, processing data.
The temperature data processing center processes the received temperature data, and the flow is shown in fig. 6, and specifically includes the following steps:
firstly), filtering the reported temperature original data, and keeping an effective value.
Setting a body temperature experience database of healthy people, wherein the body temperature experience database comprises a minimum temperature threshold t1 and a maximum temperature threshold t5 of each time stage, comparing the temperature t reported by the thermometer for the last time with the minimum temperature threshold t1 and the maximum temperature threshold t5 of the corresponding time stage respectively, and if the value of the t is between t1 and t5, judging the temperature t to be an effective value for subsequent temperature data analysis; and if t is lower than the lowest temperature threshold t1 of the corresponding time stage or higher than the highest temperature threshold t5 of the corresponding time stage, the temperature t is judged to be invalid and is not used for subsequent temperature data analysis.
When the temperature is judged to be invalid, the mark is carried out, and the mark can be used for displaying and/or generating an alarm to remind monitoring or temperature-measured personnel whether the thermometer is not worn correctly.
And secondly) selecting one temperature which is most consistent with the temperature-measured person in the integral time period from the effective body temperature values reported in the integral time period as the integral point body temperature value of the latest integral point of the temperature-measured person.
Under certain conditions, the time influencing the temperature measurement accuracy happens at the integral point, so that the temperature value reported at the integral point generates deviation, the temperature which is most consistent in the integral point time period of the temperature measurer is adopted as the integral point body temperature value of the nearest integral point of the temperature measurer, rather than the temperature value reported at the actual integral point, and the measurement error caused by the integral point reported temperature deviation can be eliminated. The specific selection steps include:
setting a time window, wherein the width of the time window is greater than the integral point time period of the effective body temperature value to be selected, namely selecting the effective body temperature value reported in an integral point, and the set time window is greater than one hour.
And obtaining the effective body temperature values reported in the time window, weighting the effective body temperature values through weighting coefficients, wherein the value range of the weighting coefficients is [0,1], and the effective body temperature values can be set according to experience.
Sorting the weighted effective body temperature values (N are assumed) in the time window according to the temperature values to form a temperature queue, selecting the original effective body temperature value corresponding to the temperature value of the nth serial number in the temperature queue (namely the effective body temperature value before weighting) as the integral point body temperature value of the integral point, wherein the value range of N is [1, 2, 3 … N ], and the selection can be carried out according to experience.
Furthermore, a temperature curve can be drawn according to the integral point body temperature value within a period of time (for example, 15 days), so that the monitoring person or the temperature-measured person can check the historical data of the integral point body temperature value of the temperature-measured person. For example, if the body temperature of the temperature-measured person to be subjected to the isolation observation is normal within 14 days of the isolation period, the isolation observation can be finished by judging whether the temperature-measured person is not infected by combining other necessary new coronavirus detection means. For another example, if the temperature of the patient who is admitted to the hospital and is subjected to temperature measurement is normal within a certain time after treatment, the patient is judged whether to be cured by combining other necessary detection means, and the patient meets the discharge condition.
And thirdly) selecting the highest body temperature value within the specified time length for the temperature measurer to judge whether the fever occurs.
The body temperature experience database of the healthy people is provided with temperature gear threshold values t2, t3 and t4, and the temperature gear threshold values are combined with the lowest temperature threshold value t1 and the highest temperature threshold value t5 of the corresponding time stage to divide different temperature intervals, for example, when the reported temperature t is in different temperature intervals divided from t1 to t5 of the corresponding time stage, different meanings are shown, and the table is specifically referred to below.
| Reporting the interval of the temperature t | Means of |
| t≤t1 | Reporting temperature as an invalid value |
| t1＜t≤t2 | Normal body temperature |
| t2＜t≤t3 | Fever (Low fever) |
| t3＜t≤t4 | Fever (middle fever) |
| t4＜t≤t5 | Fever (high fever) |
| t＞t5 | Reporting temperature as an invalid value |
According to each effective body temperature value within the recently appointed time length T of the temperature-measured person obtained in the step one), comparing the highest value T ' with temperature gear threshold values T2, T3 and T4, judging the interval where the highest value T ' of the effective body temperature values is located, and if T ' is within the normal body temperature area, determining that the temperature-measured person has no fever within the appointed time length T; if T' is in the fever (low fever), fever (middle fever) or fever (high fever) interval, the temperature-measured person is considered to have the fever within the specified time period T, and corresponding display or alarm is carried out to remind medical staff to pay attention and deal with.
Or can also be usedAccording to the body temperature values of all the integral points in the recently appointed time length T of the temperature measured person obtained in the step two), the highest value T is obtained*Comparing with temperature shift threshold t2, t3, t4, and determining the maximum value t of the integral point body temperature value*In the interval of t*In the normal body temperature range, the temperature-measured person is considered to have no fever within the specified time length T; if t*And in the interval of fever (low fever), fever (medium fever) or fever (high fever), the temperature-measured person is considered to have excessive fever within the specified time T, and corresponding display or alarm is carried out to remind medical personnel to pay attention and handle.
Research and experiments prove that asymptomatic infected persons with the new coronavirus may not have obvious physical discomfort, but most of the asymptomatic infected persons have fever within a certain period of time, namely transient fever, and the infected persons often cannot detect the transient fever due to the short period of the fever, particularly the transient fever after the infected persons are asleep, and cannot be detected. However, such infected persons are still infectious, which brings great hidden danger to the safety of persons who are in contact with the infected persons, and also brings great difficulty and gap to the prevention and control of infectious diseases. By adopting the temperature measuring system and the data filtering method, the temperature of the temperature measurer can be continuously and intensively measured within the appointed time, and once the reported temperature is within the fever temperature range, the medical staff can be immediately reminded in a display and/or alarm mode. Therefore, as for asymptomatic infectors, once fever occurs in the process of measuring the temperature of the asymptomatic infectors, the asymptomatic infectors are identified, even if normal temperature is reported after the fever occurs for a period of time, the previous transient fever is recorded and displayed as fever, and an alarm is generated, so that the asymptomatic infectors can be conveniently and reliably screened out. And because the integral point body temperature value is adopted, namely the value which is most consistent in the time period of the integral point, the measurement error is eliminated, and the temperature abnormity of the measured temperature caused by the measurement error is effectively distinguished from the temperature abnormity of the transient fever. Moreover, the number of integral body temperature values in the same time length is far smaller than the effective body temperature value, so that the calculated amount is greatly reduced, and the calculation efficiency is improved.
And fourthly, displaying data and alarming.
In this embodiment, the temperature data processing center provides data for display, including: the temperature classification and sorting, low-temperature prompt, different temperature intervals according to different colors, temperature curves of the temperature-measured person, personal detailed information of the temperature-measured person and the like. And the display and alarm equipment (such as a handheld mobile terminal, a computer, a PAD and the like) performs display and alarm according to the data provided by the temperature data processing center.
In this embodiment, the temperature data processing center may classify the temperature-measured person bound to each wireless thermometer, for example, into different disease areas, and display and sort the related data and information of the temperature-measured person in each current disease area, as shown in fig. 7.
In this embodiment, when the temperature data processing center determines that the temperature value reported by the wireless thermometer is lower than the minimum temperature threshold t1 of the corresponding time period in the data processing, an alarm is generated to prompt a monitoring or temperature-measured person that the temperature value reported by the wireless thermometer is lower than the minimum temperature threshold of the corresponding time period, and the binding band of the wireless thermometer may be loosened and needs to be immediately re-bound.
Setting a plurality of temperature intervals, and displaying the temperature values in the temperature intervals by different colors. For example, when the body temperature reaches the low fever, middle fever, and high fever body temperature ranges, the temperature data processing center displays yellow, orange, and red body temperature values, respectively, to prompt the related person to notice the occurrence of abnormal body temperature, as shown in fig. 8. Furthermore, when the fever of the person to be measured is detected, the operator of the temperature data processing center can input the personal information such as the name of the person to be measured, and can also input the personal information such as the names of other persons to be measured adjacent to the person to be measured according to the sequence of high fever, middle fever and low fever, so that the person to be measured who is a fever is diagnosed, and the person who is in close contact with the person to be measured and needs to be isolated and observed can be screened timely.
In this embodiment, the temperature data processing center provides, according to the result of the data processing, data for display, which includes a current effective body temperature value of each wireless thermometer, an integral point body temperature value of an integral point time period, a maximum body temperature value within a specified time period, and historical integral point data (as shown in fig. 9) of the thermometer within a recent period (for example, the last 15 days) since the wireless thermometer is worn, and is associated with the name and personal information of the thermometer wearing the wireless thermometer, and automatically generates personal detailed information of the thermometer and a corresponding body temperature curve, which is displayed by a display device, as shown in fig. 10.
Other information associated with the identity of the wireless thermometer, such as the name of the thermometer and other personal information, may be displayed by the display device and may be manually entered and modified by a terminal device accessing the temperature data processing center. The temperature data processing center can also receive physical state information such as self electric quantity reported by the wireless thermometer, and the physical state information is displayed by the display equipment, so that monitoring and temperature measurement personnel are reminded to pay attention to whether the wireless thermometer is in a normal working state or not.
Although the present invention has been described in terms of the preferred embodiment, it is not intended that the invention be limited to the embodiment. Any equivalent changes or modifications made without departing from the spirit and scope of the present invention also belong to the protection scope of the present invention. The scope of protection of the invention should therefore be determined with reference to the claims that follow.
Claims (10)
1. A method for detecting body temperature, comprising:
continuously detecting the body temperature by using a wireless thermometer according to a specified time interval, and sending original temperature measurement data and corresponding time data to a temperature data processing center;
the temperature data processing center is provided with a minimum temperature threshold and a maximum temperature threshold of each time stage, the obtained original temperature measurement data is compared with the minimum temperature threshold and the maximum temperature threshold of the corresponding time stage, and the original temperature measurement data between the minimum temperature threshold and the maximum temperature threshold of the time stage is reserved and used as an effective body temperature value.
2. The method for detecting body temperature according to claim 1, wherein the temperature data processing center marks the raw thermometry data as invalid value for filtering when the raw thermometry data is lower than the set minimum temperature threshold value for the corresponding time period or higher than the set maximum temperature threshold value for the corresponding time period.
3. The body temperature detection method according to claim 1, wherein the temperature data processing center is provided with a temperature gear threshold, and the effective body temperature value is compared with the temperature gear threshold to determine the temperature gear to which the effective body temperature value belongs.
4. The method for detecting body temperature according to claim 1, further comprising, after obtaining the effective body temperature value, the temperature data processing center selecting, from the effective body temperature values reported in an integral time period, a most suitable temperature in the integral time period as the integral point body temperature value of the integral point, and the specific steps are as follows:
setting a time window, wherein the width of the time window is greater than the integral time period of the effective body temperature value to be selected;
weighting each effective body temperature value reported in the time window through a weighting coefficient;
and sorting the weighted effective body temperature values in the time window according to the temperature values, and selecting the effective body temperature value before weighting corresponding to the temperature value with the assigned sequence number after sorting as the integral point body temperature value of the integral point.
5. The method as claimed in claim 4, further comprising, after selecting the integral body temperature value: and the temperature data processing center selects the highest body temperature value within the specified time length, compares the highest body temperature value with a preset temperature gear threshold value, and judges the temperature gear to which the highest body temperature value belongs.
6. The method for detecting body temperature according to claim 5, wherein the maximum body temperature value within the specified time period is: and the highest value in all the integral point body temperature values in the specified time length.
7. The body temperature detection method according to claim 1, wherein the temperature data processing center is embedded in the wireless thermometer or is separately arranged outside the wireless thermometer.
8. The method for detecting body temperature according to claim 1, further comprising: the temperature data processing center receives the unique identification of the wireless thermometer, the wireless thermometer and the temperature-measured person are bound through the identification, and the related data and information of the temperature-measured person are classified, displayed and sorted according to the use requirements.
9. The method as claimed in claim 8, wherein the temperature data processing center provides the functions of manually inputting and modifying the information related to the subject, and displays the corresponding temperature curve and related information of the subject bound to the wireless thermometer.
10. The body temperature detection method according to claim 7, wherein the wireless thermometer comprises a temperature probe and a main body part, the temperature probe is connected with the main body part through a flexible connecting part, the flexible connecting part is made of elastic flexible material, one end of the flexible connecting part is connected with the temperature probe, and the other end of the flexible connecting part is connected with the main body part; the temperature measuring probe transmits the measured real-time temperature data as original temperature measuring data to the embedded temperature data processing center for data processing, or the main body part is provided with a wireless transceiver module which transmits the real-time temperature data measured by the temperature measuring probe as original temperature measuring data to the temperature data processing center separately arranged outside the wireless thermometer for data processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010440929.1A CN111568391B (en) | 2020-05-22 | 2020-05-22 | Body temperature detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010440929.1A CN111568391B (en) | 2020-05-22 | 2020-05-22 | Body temperature detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111568391A true CN111568391A (en) | 2020-08-25 |
| CN111568391B CN111568391B (en) | 2022-12-20 |
Family
ID=72121356
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010440929.1A Active CN111568391B (en) | 2020-05-22 | 2020-05-22 | Body temperature detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111568391B (en) |
Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0745847A (en) * | 1993-07-30 | 1995-02-14 | Kyocera Corp | Tracking system for maximum output point of solar battery |
| CN202981967U (en) * | 2012-11-30 | 2013-06-12 | 广州天通传输技术有限公司 | Wireless electronic thermometer |
| CN103371807A (en) * | 2012-04-12 | 2013-10-30 | 夏普株式会社 | Method and equipment for determining reference body temperature |
| CN203354529U (en) * | 2012-11-12 | 2013-12-25 | 赛龙通信技术（深圳）有限公司 | Wireless body-temperature monitoring system |
| CN204033320U (en) * | 2014-07-24 | 2014-12-24 | 林瑞湖 | Intellectual temperature checkout gear and wrist carried Intelligent thermometer |
| CN104367304A (en) * | 2014-11-27 | 2015-02-25 | 深圳如果技术有限公司 | Intelligent body temperature measuring method and device |
| CN204218891U (en) * | 2014-10-09 | 2015-03-25 | 联芯科技有限公司 | Smart electronics clinical thermometer |
| CN105046299A (en) * | 2015-07-22 | 2015-11-11 | 杭州浙港智能科技有限公司 | NFC (Near Field Communication) technology based wearable intelligent body temperature detection system and method therefor |
| CN105125182A (en) * | 2015-10-14 | 2015-12-09 | 北京异度矩阵科技有限公司 | Intelligent body temperature monitoring and alarming method and system |
| CN105769130A (en) * | 2016-02-26 | 2016-07-20 | 严定远 | Device and method for measuring temperature of human body |
| CN105769134A (en) * | 2016-04-05 | 2016-07-20 | 柳州定店科技有限公司 | Temperature display method of electronic thermometer |
| CN106037827A (en) * | 2016-07-01 | 2016-10-26 | 江苏省计划生育科学技术研究所 | Wireless ovulation cycle measuring system |
| CN106175711A (en) * | 2016-07-14 | 2016-12-07 | 泰利美信（苏州）医疗科技有限公司 | Temperature patch and temperature acquisition system |
| CN106236029A (en) * | 2016-08-25 | 2016-12-21 | 深圳缇铭科技有限公司 | Child's body-temperature monitoring device |
| CN106419856A (en) * | 2016-08-25 | 2017-02-22 | 深圳缇铭科技有限公司 | Child body temperature monitoring device, system and method |
| CN206120305U (en) * | 2016-07-22 | 2017-04-26 | 南京信息工程大学 | Body temperature remote monitoring system |
| CN106667448A (en) * | 2016-11-24 | 2017-05-17 | 珠海泰莱笙科技有限公司 | Body temperature measuring method |
| CN106711523A (en) * | 2016-12-16 | 2017-05-24 | 深圳市大疆创新科技有限公司 | Battery temperature control method and base station |
| CN107067670A (en) * | 2016-11-23 | 2017-08-18 | 深圳市元征科技股份有限公司 | One kind detection alarm method and system |
| US20180199987A1 (en) * | 2015-11-26 | 2018-07-19 | Olympus Corporation | Treatment system and treatment tool |
| CN109100048A (en) * | 2018-09-06 | 2018-12-28 | 广州小童学教育科技有限公司 | A method of the non-contact infrared body temperature detection based on NFC |
| CN110207850A (en) * | 2019-05-13 | 2019-09-06 | 深圳宇联高新科技有限公司 | A kind of intelligent thermometer and its system |
| US20190350462A1 (en) * | 2018-05-15 | 2019-11-21 | Verily Life Sciences Llc | Methods and devices for measuring body temperature in a reduced time |
| CN110916620A (en) * | 2019-10-30 | 2020-03-27 | 深圳市华盛昌科技实业股份有限公司 | Body temperature measuring method and terminal |
-
2020
- 2020-05-22 CN CN202010440929.1A patent/CN111568391B/en active Active
Patent Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0745847A (en) * | 1993-07-30 | 1995-02-14 | Kyocera Corp | Tracking system for maximum output point of solar battery |
| CN103371807A (en) * | 2012-04-12 | 2013-10-30 | 夏普株式会社 | Method and equipment for determining reference body temperature |
| CN203354529U (en) * | 2012-11-12 | 2013-12-25 | 赛龙通信技术（深圳）有限公司 | Wireless body-temperature monitoring system |
| CN202981967U (en) * | 2012-11-30 | 2013-06-12 | 广州天通传输技术有限公司 | Wireless electronic thermometer |
| CN204033320U (en) * | 2014-07-24 | 2014-12-24 | 林瑞湖 | Intellectual temperature checkout gear and wrist carried Intelligent thermometer |
| CN204218891U (en) * | 2014-10-09 | 2015-03-25 | 联芯科技有限公司 | Smart electronics clinical thermometer |
| CN104367304A (en) * | 2014-11-27 | 2015-02-25 | 深圳如果技术有限公司 | Intelligent body temperature measuring method and device |
| CN105046299A (en) * | 2015-07-22 | 2015-11-11 | 杭州浙港智能科技有限公司 | NFC (Near Field Communication) technology based wearable intelligent body temperature detection system and method therefor |
| CN105125182A (en) * | 2015-10-14 | 2015-12-09 | 北京异度矩阵科技有限公司 | Intelligent body temperature monitoring and alarming method and system |
| US20180199987A1 (en) * | 2015-11-26 | 2018-07-19 | Olympus Corporation | Treatment system and treatment tool |
| CN105769130A (en) * | 2016-02-26 | 2016-07-20 | 严定远 | Device and method for measuring temperature of human body |
| CN105769134A (en) * | 2016-04-05 | 2016-07-20 | 柳州定店科技有限公司 | Temperature display method of electronic thermometer |
| CN106037827A (en) * | 2016-07-01 | 2016-10-26 | 江苏省计划生育科学技术研究所 | Wireless ovulation cycle measuring system |
| CN106175711A (en) * | 2016-07-14 | 2016-12-07 | 泰利美信（苏州）医疗科技有限公司 | Temperature patch and temperature acquisition system |
| CN206120305U (en) * | 2016-07-22 | 2017-04-26 | 南京信息工程大学 | Body temperature remote monitoring system |
| CN106419856A (en) * | 2016-08-25 | 2017-02-22 | 深圳缇铭科技有限公司 | Child body temperature monitoring device, system and method |
| CN106236029A (en) * | 2016-08-25 | 2016-12-21 | 深圳缇铭科技有限公司 | Child's body-temperature monitoring device |
| CN107067670A (en) * | 2016-11-23 | 2017-08-18 | 深圳市元征科技股份有限公司 | One kind detection alarm method and system |
| CN106667448A (en) * | 2016-11-24 | 2017-05-17 | 珠海泰莱笙科技有限公司 | Body temperature measuring method |
| CN106711523A (en) * | 2016-12-16 | 2017-05-24 | 深圳市大疆创新科技有限公司 | Battery temperature control method and base station |
| US20190350462A1 (en) * | 2018-05-15 | 2019-11-21 | Verily Life Sciences Llc | Methods and devices for measuring body temperature in a reduced time |
| CN109100048A (en) * | 2018-09-06 | 2018-12-28 | 广州小童学教育科技有限公司 | A method of the non-contact infrared body temperature detection based on NFC |
| CN110207850A (en) * | 2019-05-13 | 2019-09-06 | 深圳宇联高新科技有限公司 | A kind of intelligent thermometer and its system |
| CN110916620A (en) * | 2019-10-30 | 2020-03-27 | 深圳市华盛昌科技实业股份有限公司 | Body temperature measuring method and terminal |
Non-Patent Citations (1)
| Title |
|---|
| 孙嫣，陶韬: "实时监测患者体温减少医护交叉感染", 《江苏科技报》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111568391B (en) | 2022-12-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108717678B (en) | Wisdom endowment system | |
| CN104305972B (en) | Multi-parameter monitoring based on intelligent watch with it is health management system arranged | |
| CN101732041B (en) | Medical monitoring system | |
| CN204765593U (en) | Vital sign on -line monitoring system | |
| CN106993845B (en) | A kind of Intelligent insole towards health | |
| CN105164717B (en) | Process and device for collecting and storing data relating to the condition of an absorbent product | |
| CN107028426A (en) | A kind of intelligent mattress system | |
| RU2602676C2 (en) | Fever detection apparatus | |
| KR101294868B1 (en) | System and method for monitoring remote livestock | |
| CN102525434A (en) | Remote electronic monitoring device | |
| CN108717668A (en) | A kind of milk cow behavior and physiological characteristic Internet of things system and its working method | |
| CN110464564B (en) | Intelligent bed board system based on automatic detection and remote analysis | |
| CN103402423A (en) | Patient deterioration detection | |
| CN107049274A (en) | Thermal environment self-employed labour safety monitoring assembly and evaluation method based on physiological parameter | |
| CN114098655B (en) | Intelligent sleep risk monitoring method and system | |
| CN106473722A (en) | A kind of health monitoring systems based on intelligent medical bed | |
| CN110926655A (en) | Epidemic situation monitoring method and system based on wearable body temperature sensor | |
| CN111446008A (en) | Bracelet, arm ring, foot ring, watch and system for intelligently monitoring body temperature through networking | |
| CN100534380C (en) | Method and system for capturing and monitoring a physiological parameter and movement within an area of at least on person | |
| CN108460957A (en) | A kind of the elder's health group monitoring warning system and method | |
| CN204218891U (en) | Smart electronics clinical thermometer | |
| CN111583582A (en) | Behavior analysis system of multi-sensor information fusion technology suitable for home-based care of the aged | |
| CN112386232A (en) | Human body temperature detection device of high in clouds control | |
| CN106777869A (en) | A kind of intelligent cloud doctor based on intelligent medical bed supports system | |
| CN111568391B (en) | Body temperature detection method |
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 |