NL2031101A - Household body temperature monitoring and managing system based on big data for avoiding coronavirus disease 2019 infection - Google Patents

Household body temperature monitoring and managing system based on big data for avoiding coronavirus disease 2019 infection Download PDF

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NL2031101A
NL2031101A NL2031101A NL2031101A NL2031101A NL 2031101 A NL2031101 A NL 2031101A NL 2031101 A NL2031101 A NL 2031101A NL 2031101 A NL2031101 A NL 2031101A NL 2031101 A NL2031101 A NL 2031101A
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data
body temperature
health
monitoring
module
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NL2031101A
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NL2031101B1 (en
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Yuan Changhao
Mo Ruochen
Yan Qiuyi
Yan Subo
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Univ Guilin Medical
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • 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
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • 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
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1112—Global tracking of patients, e.g. by using GPS
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1123—Discriminating type of movement, e.g. walking or running
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14546—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring analytes not otherwise provided for, e.g. ions, cytochromes
    • 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
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • 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
    • A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
    • 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
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
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  • Medical Informatics (AREA)
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  • Heart & Thoracic Surgery (AREA)
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  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Artificial Intelligence (AREA)
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  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Optics & Photonics (AREA)
  • Primary Health Care (AREA)
  • Databases & Information Systems (AREA)
  • Radar, Positioning & Navigation (AREA)
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  • Data Mining & Analysis (AREA)
  • Pulmonology (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

Disclosed is a household body temperature monitoring and managing systeH1 based, on big data for avoiding coronavirus disease 2019 infection. The system includes a detection module, a mobile phone terminal, a server terminal and a medical management module, where the detection module includes a quantum thermometer, a photoplethysmography (PPG) light sensor, an inflammation. kit, a state detection module and a signal transmission module; and the mobile phone terminal includes a positioning module, a monitoring analysis module and a health archive. A body temperature detection result can be more accurate by using the quantum thermometer, and a pulse, respiration and an inflammation factor of the human body are measured, such that whether an infectious disease is developed and a type of the disease can be more accurately controlled, and a virus can be accurately detected at an initial stage of entering the cells.

Description

P1173/NLpd
HOUSEHOLD BODY TEMPERATURE MONITORING AND MANAGING SYSTEM BASED ON BIG DATA FOR AVOIDING CORONAVIRUS DISEASE 2019 INFECTION
TECHNICAL FIELD The present invention relates to the technical field of body temperature monitoring and managing, and in particular to a house- hold body temperature monitoring and managing system based on big data for avoiding coronavirus disease 2019 infection.
BACKGROUND ART The coronavirus disease 2019 has always caused a serious threat to personal security and economic development in China since outbreak, medical staff and epidemic prevention personnel are constantly struggling to alleviate the impact, and the most effective method for controlling the epidemic is to identify and isolate people with symptoms in time and perform nucleic acid de- tection after isclation.
Due to the presence of some asymptomatic patients in corona- virus disease 2019, the patients cannot be identified by conven- tional body temperature monitoring, easily resulting in wide spread of the virus. Presently, there is no optimal control meth- od. Therefore, a household body temperature monitoring and manag- ing system based on big data for avoiding coronavirus disease 2019 infection is provided to solve the problem.
SUMMARY In order to solve the problem that asymptomatic infected per- sons are not easy to identify, an objective of the present inven- tion is to provide a household body temperature monitoring and managing system based on big data for avoiding coronavirus disease 2019 infection, which can identify asymptomatic infected persons in advance by means of body temperature comparison.
In order to achieve the technical objective, the present in- vention uses the following technical solution: a household body temperature monitoring and managing system based on big data for avoiding coronavirus disease 2019 infection includes a detection module, a mobile phone terminal, a server terminal and a medical management module, where the detection module includes a quantum thermometer, a photo- plethysmography (PPG) light sensor, an inflammation kit, a state detection module and a signal transmission module; the mobile phone terminal includes a positioning module, a monitoring analysis module, a health archive and an information module; the server terminal includes a data archive library; both the mobile phone terminal and the server terminal are provided with alarm modules; and the detection module is used for monitoring health data of a human body and is arranged in a body surface projection area of a pulmonary artery catheter during use.
The quantum thermometer is used for monitoring change data of a body temperature of the human body; the state detection module is used for monitoring states in- cluding walking, running, resting and sleeping of the human body, and distinguishing changes of the health data of the human body in different states; the signal transmission module is used for uploading data ob- tained by the quantum thermometer, the PPG light sensor, the in- flammation kit and the state detection module to the mobile phone terminal and the server terminal; the positioning module is used for determining a position of the detection module and is provided with confidentiality permis- sion; and the monitoring analysis module is used for summarizing the data provided by the detection module, integrating the data into a curve chart, and comparing the curve chart with case data in the data archive library.
The health archive is used for recording the health data of a user, if the user does not have a disease record within 30 days, health data of the 30 days may be used as health reference data of the user, and if the user has a disease record within 30 days, health data of the 30 days may be used as disease reference data of the user; the information module is used for recording personal infor- mation including basic resident information and body data infor- mation; the data archive library is used for recording health data information of all users and classifying the data into health data and disease data, the data recorded in the data archive library being standard values; and the alarm module is used for starting preliminary early warn- ing when the monitoring analysis module discovers that a superpo- sition ratio between the curve chart of the health data of the us- er and the disease data in the data archive library reaches 50%, and starting emergency early warning when the monitoring analysis module discovers that a superposition ratio between the curve chart of the health data of the user and the disease data in the data archive library reaches 80%.
The medical management module is used for being connected with the mobile phone terminal, and a patient may manually open permission to make medical staff quickly know the health infor- mation of the patient when seeking medical treatment.
As an optimization, during comparison of the monitoring anal- ysis module, the states of two groups of data during monitoring should be the same.
As an optimization, during comparison, the monitoring analy- sis module firstly calculates a difference parameter between actu- al health reference data and a health standard value, considers an influence of the difference parameter when discovering that the health data chart coincides with the disease data in the data ar- chive library, and searches for the closest data in the data ar- chive library for reference by means of body data information when there is no health reference data.
As an optimization, the data in the health archive are backed up to the data archive library once every 14-28 days, and the body data information is uploaded synchronously and the basic resident information is shielded in a backup process.
As an optimization, the disease data includes infectious dis-
ease data of coronavirus disease 2019 data, hand-foot-and-mouth disease data, avian influenza data, parotitis, etc.
The present invention has the beneficial effects:
1. The quantum thermometer may improve the accuracy of a body temperature detection result, moreover, a core temperature of the human body may be obtained through measurement in the body surface projection area of the pulmonary artery catheter, and temperature fluctuation of cells inside the pulmonary artery catheter near an upper respiratory tract is monitored, such that a virus may be ac- curately detected at an initial stage of entering the cells; moreover, a pulse and an inflammation factor of the human body are measured, such that whether a disease is developed and a type of the disease may be controlled more accurately; and quick data acquisition, modeling and statistical analysis may be used for tracking of persons infected with coronavirus disease 2019 (Covid-19), disease prediction, screening, early warning, ep- idemiological tracking of other infectious diseases, etc.
2. The state detection module is used for distinguishing body temperature changes in different states of the human body, thereby preventing the detection result from being influenced by a differ- ence between a body temperature during exercise or sleeping and a normal body temperature.
3. By means of summarization of big data, body temperature changes of patients with different viruses in three stages of health, infection and morbidity are obtained, which are used as reference bases, a body temperature monitored in real time is com- pared with reference data, and suspected asymptomatic patients may be found in time according to a body temperature change rule, thereby reducing epidemic prevention work intensity, and improving social security.
4. The health state is determined according to the data of the user, and a difference value parameter between the state and the standard value is set, such that the situation that body tem- perature comparison is greatly influenced due to difference of the human body may be avoided, and a result is more accurate.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a diagram of a detection module of the present in- vention.
FIG. 2 is a diagram of a big data management module of the 5 present invention.
DETAILED DESCRIPTION OF THE EMBODIMENTS The technical solution of the embodiments of the present in- vention is clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Apparently, the embodiments described are merely some rather than all of the embodiments of the present invention. On the basis of the embodiments of the present invention, all other embodiments acquired by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present invention.
Embodiment With reference to FIGs. 1 and 2, a household body temperature monitoring and managing system based on big data for avoiding coronavirus disease 2019 infection includes a detection module, a mobile phone terminal, a server terminal and a medical management module, where the detection module is used for monitoring health data of a human body and is arranged in a body surface projection area of a pulmonary artery catheter during use; a quantum thermometer used for monitoring change data of a core body temperature, respiration and a pulse of the human body; a photoplethysmography (PPG) light sensor is used for moni- toring the change data of the pulse of the human body; and an inflammation kit is used for monitoring whether there is an inflammation factor in blood of the human body.
The quantum thermometer may improve the accuracy of a body temperature detection result, moreover, a core temperature of the human body may be obtained through measurement in the body surface projection area of the pulmonary artery catheter, and temperature fluctuation of cells inside the pulmonary artery catheter near an upper respiratory tract is monitored, such that a virus may be ac-
curately detected at an initial stage of entering the cells; and moreover, a pulse and an inflammation factor of the human body are measured, such that whether a disease is developed and a type of the disease may be controlled more accurately. Further, a state detection module is used for monitoring states in- cluding walking, running, resting and sleeping of the human body, and distinguishing changes of the health data of the human body in different states; during comparison of a monitoring analysis module, the states of two groups of data during monitoring should be the same; and a gyroscope is arranged in the state detection module, and the state of the human body is determined by means of a motion state of the gyroscope.
The state detection module is used for distinguishing body temperature changes in different states of the human body, thereby preventing the situation that a detection result is influenced by a difference between a body temperature during exercise or sleep- ing and a normal body temperature.
Further, a signal transmission module is used for uploading data ob- tained by the quantum thermometer, the PPG light sensor, the in- flammation kit and the state detection module to the mobile phone terminal and the server terminal; the mobile phone terminal is used for being stored in a mo- bile phone of a user in a form of an application (APP), which is convenient for the user to view and manage; the mobile phone terminal is connected to the medical manage- ment module, and the medical management module may be utilized for registration and disease consultation by means of the mobile phone terminal; a positioning module is used for determining a position of the detection module and is provided with confidentiality permis- sion; the position of the detection module is determined according to a distance from the detection module to the mobile phone; and the monitoring analysis module is used for summarizing the data provided by the detection module, integrating the data into a curve chart, and comparing the curve chart with case data in a da- ta archive library.
By means of summarization of big data, body temperature changes of patients with different viruses in three stages of health, infection and morbidity are obtained, which are used as reference bases, a body temperature monitored in real time is com- pared with reference data, and suspected asymptomatic patients may be found in time according to a body temperature change rule, thereby reducing epidemic prevention work intensity, and improving social security.
During comparison, the monitoring analysis module firstly calculates a difference parameter between actual health reference data and a health standard value, considers an influence of the difference parameter when discovering that a health data chart co- incides with the disease data in the data archive library, and searches for the closest data in the data archive library for ref- erence by means of body data information when there is no health reference data.
A health archive is used for recording the health data of the user, if the user does not have a disease record within 30 days, health data of the 30 days may be used as health reference data of the user, and if the user has a disease record within 30 days, health data of the 30 days may be used as disease reference data of the user; and the health state is determined according to the data of the user, and a difference value parameter between the state and the standard value is set, such that the situation that body tempera- ture comparison is greatly influenced due to difference of the hu- man body may be avoided, and a result is more accurate.
Further, an information module is used for recording personal infor- mation including basic resident information and body data infor- mation; the basic resident information includes names, identity card numbers, photos, home registration and present addresses, and the data have confidentiality permission;
the body data information includes age, gender, height, weight and medical history; the server terminal is used for managing and maintaining the mobile phone terminal and providing data support;
the data archive library is used for recording health data information of all users and classifying the data into health data and disease data, where the data recorded in the data archive library are standard values; initial data in the data archive library are summarized by big data; the data in the health archive are backed up to the data ar- chive library once every 14-28 days, and the body data information is uploaded synchronously and the basic resident information is shielded in a backup process, such that the data archive library may be constantly en- riched, and content is improved according to the data archive li- brary; and an alarm module is used for starting preliminary early warn- ing when the monitoring analysis module discovers that a superpo- sition ratio between the curve chart of the health data of the us- er and the disease data in the data archive library reaches 50%, and starting emergency early warning when the monitoring analysis module discovers that a superposition ratio between the curve chart of the health data of the user and the disease data in the data archive library reaches 80%, where preliminary early warning is as follows: the mobile phone terminal sends out a warning to prompt the user not to go to an occasion with many people and be isolated at home in a form of a telephone and a short message; and emergency early warning is as follows: the mobile phone ter- minal and the server terminal both send cut a warning to prompt the user not to go to an occasion with many people and to go to a designated isolation place nearby in a form of a telephone and a short message, and if secondary notification is not responded, ep- idemic prevention personnel quickly discover the user according to the basic resident information in cooperation with a point loca-
tion module and a skynet system to forcedly isolate the user.
After the alarm module is started, the basic resident infor- mation in the positioning module and the information module opens a viewing permission to the server terminal.
The medical management module is used for being connected to the mobile phone terminal, and a patient may manually open permis- sion to make medical staff quickly know the health information of the patient when seeking medical treatment.
Further, the detection module is a circular patch, a fluorescent coat- ing liquid fills the circular patch, and a shell is wrapped around an outer side of the circular patch.
The detection module is made into the circular patch, the circular patch is attached to a surface of the human body when in use, the circular patch is convenient to use and is not prone to fall off without influencing normal motion, and moreover, the flu- orescent coating liquid fills the circular patch to emit fluores- cence when a temperature exceeding a normal body temperature is detected, such that a prompting effect is achieved, and moreover, shells with different styles may be selectively arranged on the outer side of the circular patch, so as to reduce repulsive psy- chology of children.
The disease data includes infectious disease data of corona- virus disease 2019 data, hand-foot-and-mouth disease data, avian influenza data, parotitis, etc.
Although the embodiments of the present invention have been illustrated and described, it should be understood that those of ordinary skill in the art may make various changes, modifications, replacements and variations to the above embodiments without de- parting from the principle and spirit of the present invention, and the scope of the present invention is limited by the appended claims and their legal equivalents.

Claims (4)

CONCLUSIESCONCLUSIONS 1. Systeem voor het in het huishouden bewaken en beheren van de lichaamstemperatuur op basis van big data voor het voorkomen van infectie met coronavirusziekte 2019, omvattende: een detectiemodule die wordt gebruikt voor het bewaken van gezond- heidsgegevens van een menselijk lichaam en die tijdens gebruik is aangebracht in een projectiegebied van het lichaamsoppervlak van een longslagaderkatheter; een kwantumthermometer die wordt gebruikt voor het bewaken van veranderingsgegevens van een kernlichaamstemperatuur, ademhaling en een hartslag van het menselijk lichaam; een ontstekingskit die wordt gebruikt om te controleren of er een ontstekingsfactor in het bloed van het menselijk lichaam aanwezig is; een toestandsdetectiemodule die wordt gebruikt voor het bewaken van een toestand van het menselijk lichaam; en een signaaltransmissiemodule die wordt gebruikt voor het uploaden van gegevens die zijn verkregen door de kwantumthermometer, de ontstekingskit en de toestandsdetectiemodule naar een mobiele te- lefoonterminal en een serverterminal.A household big data body temperature monitoring and management system for preventing infection with coronavirus disease 2019, comprising: a detection module used for monitoring health data of a human body and during use is disposed in a projection area of the body surface of a pulmonary artery catheter; a quantum thermometer used for monitoring change data of a core body temperature, respiration and a heart rate of the human body; an inflammation kit used to check for an inflammatory factor in the blood of the human body; a condition detection module used for monitoring a condition of the human body; and a signal transmission module used to upload data obtained by the quantum thermometer, the ignition kit and the condition detection module to a mobile phone terminal and a server terminal. 2. Systeem voor het in het huishouden bewaken en beheren van de lichaamstemperatuur op basis van big data voor het voorkomen van infectie met coronavirusziekte 2019 volgens conclusie 1, verder omvattende: de mobiele telefoonterminal die wordt gebruikt om te worden opge- slagen in een mobiele telefoon van een gebruiker in de vorm van een applicatie (APP); een positioneringsmodule die wordt gebruikt voor het bepalen van een positie van de detectiemodule; een monitoringanalysemodule die wordt gebruikt voor het samenvat- ten van de gegevens die door de detectiemodule worden geleverd, het integreren van de gegevens in een grafiek en het vergelijken van de grafiek met casusgegevens in een gegevensarchiefbiblio- theek;The household big data body temperature monitoring and management system for preventing infection with coronavirus disease 2019 according to claim 1, further comprising: the mobile phone terminal used to be stored in a mobile phone from a user in the form of an application (APP); a positioning module used to determine a position of the detection module; a monitoring analysis module used for summarizing the data provided by the detection module, integrating the data into a graph, and comparing the graph with case data in a data archive library; een gezondheidsarchief dat wordt gebruikt voor het vastleggen van de gezondheidsgegevens van de gebruiker; en een informatiemodule die wordt gebruikt voor het vastleggen van persoonlijke informatie.a health archive used to record the user's health data; and an information module used to record personal information. 3. Systeem voor het in het huishouden bewaken en beheren van de lichaamstemperatuur op basis van big data voor het voorkomen van infectie met coronavirusziekte 2019 volgens conclusie 2, verder omvattende: een serverterminal die wordt gebruikt voor het beheren en onder- houden van de mobiele telefoonterminal en het verschaffen van ge- gevensondersteuning; de gegevensarchiefbibliotheek die wordt gebruikt voor het vastleg- gen van gezondheidsgegevens van alle gebruikers; een alarmmodule die wordt gebruikt voor het geven van een alarm wanneer de monitoringanalysemodule een abnormale waarde ontdekt; en een medische beheermodule die wordt gebruikt om te worden aange- sloten op de mobiele telefoonterminal, waarbij een patiënt in staat is om handmatig toestemming te openen om medisch personeel snel de gezondheidsinformatie van de patiënt te laten weten wan- neer hij medische behandeling zoekt.The household big data body temperature monitoring and management system for preventing infection with coronavirus disease 2019 according to claim 2, further comprising: a server terminal used to manage and maintain the mobile telephone terminal and providing data support; the data archive library used to record health data for all users; an alarm module used to give an alarm when the monitoring analysis module detects an abnormal value; and a medical management module used to be connected to the mobile telephone terminal, wherein a patient is able to manually open permission to quickly let medical personnel know the patient's health information when seeking medical treatment. 4. Systeem voor het in het huishouden bewaken en beheren van de lichaamstemperatuur op basis van big data voor het voorkomen van infectie met coronavirusziekte 2019 volgens conclusie 2, waarbij de gegevens in het gezondheidsarchief eens in de 14-28 dagen wor- den geback-upt naar de gegevensarchiefbibliotheek.The household big data body temperature monitoring and management system for preventing infection with coronavirus disease 2019 according to claim 2, wherein the data in the health archive is backed up once every 14-28 days to the data archive library.
NL2031101A 2022-02-28 2022-02-28 Household body temperature monitoring and managing system based on big data for avoiding coronavirus disease 2019 infection NL2031101B1 (en)

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