CN111653367A - Respiratory infectious disease monitoring system and method based on cough symptoms - Google Patents
Respiratory infectious disease monitoring system and method based on cough symptoms Download PDFInfo
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- 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
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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Abstract
The invention relates to a respiratory infectious disease monitoring system and a method based on cough symptoms, wherein the system comprises: cough detection and anomaly analysis module (1): directionally identifying cough symptoms of the user based on the user terminal equipment, judging whether the cough symptoms are abnormal or not, and uploading user detection abnormal information when the cough symptoms are abnormal; the intra-area user tracking and real-time statistics module (2): establishing an in-region real-time user database which comprises the number information of user terminals in a region, geographical position information and user background information; cough user information screening and sorting module (3): receiving user detection abnormal information and a real-time user database to form an abnormal user database; a summary early warning module (4): and receiving the abnormal user database and the real-time user database, calculating and storing a cough incidence curve, and early warning infectious diseases according to the cough incidence curve. Compared with the prior art, the invention greatly improves the coverage rate of disease monitoring crowds and has high infectious disease monitoring accuracy.
Description
Technical Field
The invention relates to a respiratory infectious disease monitoring system and a method, in particular to a respiratory infectious disease monitoring system and a method based on cough symptoms.
Background
The respiratory infectious diseases refer to a series of infectious respiratory diseases caused by the invasive infection of throat, trachea, bronchus and the like of a patient. Most of the diseases can be transmitted through air, the infectivity is strong, and the diffusion speed is extremely high, so the early discovery and control are significant. Cough is a common symptom of respiratory diseases and is one of the main symptoms of respiratory infectious diseases, and patients with respiratory infectious diseases often show a rapid increase of cough frequency when newly suffering from the cough, so that cough symptom monitoring is one of the main monitoring means of respiratory infectious diseases, particularly new respiratory infectious disease outbreaks.
Cough is caused by the stimulation of foreign bodies, infection, tissue lesion and the like on the trachea, the bronchial mucosa or the alveoli, and has the motion characteristics that: firstly, inhaling a breath, closing the glottis, simultaneously lifting the soft palate to completely close the nasopharyngeal cavity, then contracting the respiratory muscles of the chest and the abdomen, increasing the pressure in the lung, and when reaching a certain degree, suddenly opening the glottis, rapidly passing a powerful airflow through the narrowed airway to impact the glottis and send out cough. The sound generated under the normal condition of the cough and the human body has obvious difference on sound indexes such as energy, frequency and the like, so that the sound recognition technology has identifiability, the effective distinguishing of the cough sound and the common sound in the natural environment is realized by the existing sound recognition technology, and corresponding products are designed, but most products are expensive and inconvenient to carry, and the requirement for monitoring the cough in real time is difficult to meet. To monitor respiratory infectious disease outbreaks through cough symptoms, the following conditions must be met: the method can realize all-weather real-time accurate monitoring of the individual cough; the individual abnormal information of the crowd in a specific area can be summarized and counted in real time; judgment reference criteria can be found to determine whether the obtained instant data is abnormal.
The research has already made a useful exploration on realizing all-weather real-time accurate cough monitoring on an individual level, and documents describe that cough recognition and monitoring are realized through a smart phone, but the method described in the documents focuses on individual disease diagnosis and monitoring, and the technology of the load of the method has not yet realized sound personalized analysis and recognition, so that the cough of a specific user cannot be screened under the condition that a plurality of people cough occurs, and further application of the technology in the field of crowd infectious disease monitoring is limited.
Disclosure of Invention
The present invention is directed to overcoming the above-mentioned drawbacks of the prior art and providing a respiratory infectious disease monitoring system and method based on cough symptoms.
The purpose of the invention can be realized by the following technical scheme:
a respiratory infectious disease monitoring system based on cough symptoms, the system comprising:
cough detection and anomaly analysis module: directionally identifying cough symptoms of the user based on the user terminal equipment, judging whether the cough symptoms are abnormal or not, and uploading user detection abnormal information when the cough symptoms are abnormal;
the intra-area user tracking and real-time counting module comprises: establishing an in-region real-time user database which comprises the number information of user terminals in a region, geographical position information and user background information;
cough user information screening and sorting module: receiving user detection abnormal information and a real-time user database to form an abnormal user database;
the collection early warning module: and receiving the abnormal user database and the real-time user database, calculating and storing a cough incidence curve, and early warning infectious diseases according to the cough incidence curve.
The cough detection and anomaly analysis module comprises:
the sound acquisition sensor comprises: collecting a sound signal;
a cough recognition model: the model is stored in the user terminal equipment in advance, judges whether the model is the cough sound sent by the user himself or not according to the collected sound signal, and outputs the occurrence of cough if the model is the cough sound;
an abnormality counting unit: the unit counts the real-time cough frequency, when the real-time cough frequency exceeds a set threshold value, the unit marks the frequency as abnormal, and user detection abnormal information is generated, wherein the user detection abnormal information comprises user mark information and the real-time cough frequency.
The module for tracking users in the region and counting users in real time comprises:
a positioning unit: the system comprises a user terminal device, a user terminal device and a user terminal device, wherein the user terminal device is integrated with the user terminal device and used for acquiring user geographical position information;
a tracking statistic unit: tracking user terminal equipment, acquiring the number information and the geographical position information of real-time user terminals in an area by taking minutes as a unit, and matching and acquiring user background information according to user mark information corresponding to the tracked user terminal equipment, wherein the user background information comprises user personal information.
The user terminal equipment comprises a smart phone, and further, the user mark information is a phone number of the smart phone.
The positioning unit comprises a Beidou positioning unit.
The cough user information screening and sorting module comprises:
an abnormal user matching extraction unit: the unit extracts user mark information in the user detection abnormal information, extracts geographical position information and user background information of a user from a real-time user database in a matching way according to the user mark information, summarizes the user detection abnormal information, the geographical position information and the user background information into abnormal user data information, and the abnormal user data information of all abnormal users forms an abnormal user database;
a query unit: and connecting an abnormal user database, wherein the unit provides an inquiry reading interface for reading the abnormal user data information in the abnormal user database.
The summarization early warning module comprises:
cough incidence curve construction unit: constructing a multidimensional cough incidence curve;
the early warning unit: and comparing the multidimensional cough incidence curve to generate infectious disease early warning information and early warning in real time.
The multidimensional cough incidence curves comprise a daily incidence curve, a near 7-day average incidence curve and an annual average incidence curve,
the daily incidence curve is obtained as follows: determining the number of abnormal cough users per minute according to the abnormal user database, correspondingly acquiring the total number of regional simultaneous period users according to the real-time user database, calculating the cough incidence rate per minute by dividing the number of abnormal cough users per minute by the total number of regional simultaneous period users, and drawing a daily incidence rate curve according to the cough incidence rate per minute;
further, a near 7-day average incidence curve and an annual average incidence curve were constructed from the historical daily incidence curves.
The early warning unit compares the current day incidence curve with the previous 1 day incidence curve, the near 7 day average incidence curve and the annual average incidence curve, and if the current day incidence is suddenly increased, infectious disease early warning information is generated and early warning is carried out in real time.
A respiratory infectious disease monitoring method based on cough symptoms is based on the system, and comprises the following steps:
step S1: identifying cough symptoms of the user, judging whether the cough symptoms are abnormal or not, and uploading the detected abnormal information of the user when the cough symptoms are abnormal;
step S2: acquiring real-time user data in an area, and constructing a real-time user database, wherein the real-time user database comprises the number information of user terminals in the area, geographical position information and user background information, and the user background information comprises personal information of users;
step S3: sorting and screening are carried out according to the user detection abnormal information and the real-time user database to form an abnormal user database, wherein the abnormal user database comprises abnormal user data information of all abnormal users, and the abnormal user data information comprises user detection abnormal information, geographical position information and user background information;
step S4: determining the number of abnormal cough users per minute according to the abnormal user database, correspondingly acquiring the total number of regional simultaneous period users according to the real-time user database, calculating the cough incidence rate per minute by dividing the number of abnormal cough users per minute by the total number of regional simultaneous period users, and drawing a daily incidence rate curve according to the cough incidence rate per minute;
step S5: constructing a near 7-day average incidence curve and an annual average incidence curve according to the historical daily incidence curve;
step S6: and comparing the daily incidence curve with the incidence curve of the previous 1 day, the average incidence curve of the nearly 7 days and the average incidence curve of the annual incidence, and generating infectious disease early warning information and giving an early warning in real time if the incidence of the current day is increased suddenly.
Compared with the prior art, the invention has the following advantages:
(1) the cough symptom recognition technology is built in the user terminal equipment (such as a smart phone), the cost is economic, the use is convenient and fast, the device is secret and objective, all-weather and all-time cough data monitoring can be carried out on individuals, the accurate collection of individual data is realized, meanwhile, the coverage rate of disease monitoring crowds is greatly improved, and scientific data are provided for subsequent analysis;
(2) the cough recognition model realizes the discrimination of the cough of a specific user under the condition that a plurality of people cough, thereby the accuracy of infectious disease monitoring is high;
(3) the invention can realize the immediate analysis of the respiratory infectious disease data of the main symptoms of cough, discover the outbreak of the infectious disease as early as possible, comprehensively describe the outbreak state of the infectious disease in a specific area, feed back the result to related departments in time and realize the early intervention on the infectious disease;
(4) the invention can lock the position and track the path of the suspected patient with infectious diseases when necessary, thereby better preventing and controlling the infectious diseases.
(5) The invention can establish a regional infectious disease incidence database and lay a foundation for related research.
Drawings
FIG. 1 is a block diagram of the respiratory infectious disease monitoring system based on cough symptoms according to the present invention;
FIG. 2 is a flow chart of the respiratory infectious disease monitoring method based on cough symptoms according to the present invention.
In the figure, 1 is a cough detection and anomaly analysis module, 2 is an intra-area user tracking and real-time statistical module, 3 is a cough user information screening and sorting module, 4 is a summary early warning module, 11 is a sound acquisition sensor, 12 is a cough identification model, 13 is an anomaly statistical unit, 21 is a positioning unit, 22 is a tracking statistical unit, 31 is an anomaly user matching extraction unit, 32 is a query unit, 41 is a cough incidence curve construction unit, and 42 is an early warning unit.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. Note that the following description of the embodiments is merely a substantial example, and the present invention is not intended to be limited to the application or the use thereof, and is not limited to the following embodiments.
Examples
As shown in fig. 1, a respiratory infectious disease monitoring system based on cough symptoms, the system comprising:
cough detection and anomaly analysis module 1: directionally identifying cough symptoms of the user based on the user terminal equipment, judging whether the cough symptoms are abnormal or not, and uploading user detection abnormal information when the cough symptoms are abnormal;
the intra-area user tracking and real-time counting module 2: establishing an in-region real-time user database which comprises the number information of user terminals in a region, geographical position information and user background information;
cough user information screening and sorting module 3: receiving user detection abnormal information and a real-time user database to form an abnormal user database;
the summarizing and early warning module 4: and receiving the abnormal user database and the real-time user database, calculating and storing a cough incidence curve, and early warning infectious diseases according to the cough incidence curve.
Specifically, the method comprises the following steps: the cough detection and abnormality analysis module 1 includes:
sound collection sensor 11: collecting a sound signal;
cough recognition model 12: the model is stored in the user terminal equipment in advance, judges whether the model is the cough sound sent by the user himself or not according to the collected sound signal, and outputs the occurrence of cough if the model is the cough sound;
the anomaly counting unit 13: the unit counts the real-time cough frequency, when the real-time cough frequency exceeds a set threshold value, the unit marks the frequency as abnormal, user detection abnormal information is generated, the user detection abnormal information comprises user mark information and the real-time cough frequency, and the unit is considered to be abnormal if the cough frequency per minute exceeds 3 times.
The intra-area user tracking and real-time statistics module 2 comprises:
the positioning unit 21: the positioning unit 21 comprises a Beidou positioning unit 21;
the tracking statistic unit 22: tracking user terminal equipment, acquiring real-time user terminal quantity information and geographical position information in an area by taking minutes as a unit, and matching and acquiring user background information according to user mark information corresponding to the tracked user terminal equipment, wherein the user background information comprises user personal information, and the user personal information comprises personal information such as name, gender, age, address and the like;
the user tracking and real-time counting module 2 in the area is accessed to an area electronic map, the number of user terminal equipment per minute and corresponding geographical position information in the area are established by using a global positioning system (Beidou) in minutes, user background information is accessed, and a comprehensive data base comprising numbers, backgrounds and geographical position information is established.
The user terminal equipment comprises a smart phone, and further, the user mark information is a phone number of the smart phone.
The cough user information screening and sorting module 3 includes:
the abnormal user matching extraction unit 31: the unit extracts user mark information in the user detection abnormal information, extracts geographical position information and user background information of a user from a real-time user database in a matching manner according to the user mark information, summarizes the user detection abnormal information, the geographical position information and the user background information into abnormal user data information, and the abnormal user data information of all abnormal users forms an abnormal user database;
the inquiring unit 32: and connecting an abnormal user database, wherein the unit provides an inquiry reading interface for reading the abnormal user data information in the abnormal user database.
The summarizing and early warning module 4 comprises:
cough incidence curve construction unit 41: constructing a multidimensional cough incidence curve;
the early warning unit 42: and comparing the multidimensional cough incidence curve to generate infectious disease early warning information and early warning in real time.
The multidimensional cough incidence curves include a daily incidence curve, a near 7-day average incidence curve, and an annual average incidence curve,
the daily incidence curve was obtained as follows: determining the number of abnormal cough users per minute according to the abnormal user database, correspondingly acquiring the total number of regional simultaneous period users according to the real-time user database, calculating the cough incidence rate per minute by dividing the number of abnormal cough users per minute by the total number of regional simultaneous period users, and drawing a daily incidence rate curve according to the cough incidence rate per minute;
further, a near 7-day average incidence curve and an annual average incidence curve were constructed from the historical daily incidence curves.
The early warning unit 42 compares the current day incidence curve with the previous 1 day incidence curve, the near 7 day average incidence curve and the annual average incidence curve, and generates early warning information of infectious diseases and gives real-time early warning if the current day incidence is increased suddenly.
In summary, the data information related to the present invention includes:
detecting abnormal information by the user: the method comprises the steps that a user cough times per minute is stored, and each piece of information comprises a user mobile phone number, time and cough times;
user background information: the invention is based on the information provided by the mobile operator, so the background information of the nationwide mobile users is formed and stored according to the mobile phone number, and each piece of information comprises the mobile phone number, the name, the sex, the age, the address and the like;
real-time user database in area: storing user information in the area every minute according to the mobile phone number, wherein each piece of information comprises a mobile phone number, a name, a sex, an age, an address, the time of the day, the time of entering the appointed area and the time of leaving the appointed area;
abnormal user database: abnormal user data information in the region every minute, wherein each piece of information comprises data such as mobile phone numbers, names, sexes, ages, addresses, time, real-time positions, whether the user is abnormal or not and the like;
daily incidence curves: dividing the number of abnormal cough users by the total number of regional real-time users by taking minutes as a unit to obtain the real-time cough incidence, and recording the change curve of the cough incidence within one day;
mean incidence curve for near 7 days: a development trend curve is drawn according to the average incidence rate seven days before a specific date;
annual average incidence curve: trend lines are formed by annual real-time cough incidence.
As shown in fig. 2, a respiratory infectious disease monitoring method based on cough symptoms is based on the system, and comprises the following steps:
step S1: identifying cough symptoms of the user, judging whether the cough symptoms are abnormal or not, and uploading the detected abnormal information of the user when the cough symptoms are abnormal;
step S2: acquiring real-time user data in an area, and constructing a real-time user database, wherein the real-time user database comprises the number information of user terminals in the area, geographical position information and user background information, and the user background information comprises personal information of a user;
step S3: sorting and screening are carried out according to the user detection abnormal information and the real-time user database to form an abnormal user database, the abnormal user database comprises abnormal user data information of all abnormal users, and the abnormal user data information comprises user detection abnormal information, geographical position information and user background information;
step S4: determining the number of abnormal cough users per minute according to the abnormal user database, correspondingly acquiring the total number of regional simultaneous period users according to the real-time user database, calculating the cough incidence rate per minute by dividing the number of abnormal cough users per minute by the total number of regional simultaneous period users, and drawing a daily incidence rate curve according to the cough incidence rate per minute;
step S5: constructing a near 7-day average incidence curve and an annual average incidence curve according to the historical daily incidence curve;
step S6: and comparing the daily incidence curve with the incidence curve of the previous 1 day, the average incidence curve of the nearly 7 days and the average incidence curve of the annual incidence, and generating infectious disease early warning information and giving an early warning in real time if the incidence of the current day is increased suddenly.
The above embodiments are merely examples and do not limit the scope of the present invention. These embodiments may be implemented in other various manners, and various omissions, substitutions, and changes may be made without departing from the technical spirit of the present invention.
Claims (10)
1. A respiratory infectious disease monitoring system based on cough symptoms, the system comprising:
cough detection and anomaly analysis module (1): directionally identifying cough symptoms of the user based on the user terminal equipment, judging whether the cough symptoms are abnormal or not, and uploading user detection abnormal information when the cough symptoms are abnormal;
the intra-area user tracking and real-time statistics module (2): establishing an in-region real-time user database which comprises the number information of user terminals in a region, geographical position information and user background information;
cough user information screening and sorting module (3): receiving user detection abnormal information and a real-time user database to form an abnormal user database;
a summary early warning module (4): and receiving the abnormal user database and the real-time user database, calculating and storing a cough incidence curve, and early warning infectious diseases according to the cough incidence curve.
2. A respiratory infectious disease monitoring system based on cough symptoms according to claim 1, wherein the cough detection and anomaly analysis module (1) comprises:
sound collection sensor (11): collecting a sound signal;
cough recognition model (12): the model is stored in the user terminal equipment in advance, judges whether the model is the cough sound sent by the user himself or not according to the collected sound signal, and outputs the occurrence of cough if the model is the cough sound;
anomaly statistics unit (13): the unit counts the real-time cough frequency, when the real-time cough frequency exceeds a set threshold value, the unit marks the frequency as abnormal, and user detection abnormal information is generated, wherein the user detection abnormal information comprises user mark information and the real-time cough frequency.
3. A respiratory infectious disease monitoring system based on cough symptoms according to claim 2, wherein the intra-regional user tracking and real-time statistics module (2) comprises:
positioning unit (21): the system comprises a user terminal device, a user terminal device and a user terminal device, wherein the user terminal device is integrated with the user terminal device and used for acquiring user geographical position information;
tracking statistics unit (22): tracking user terminal equipment, acquiring the number information and the geographical position information of real-time user terminals in an area by taking minutes as a unit, and matching and acquiring user background information according to user mark information corresponding to the tracked user terminal equipment, wherein the user background information comprises user personal information.
4. A respiratory infectious disease monitoring system based on cough symptoms according to any one of claim 3, wherein the user terminal device comprises a smart phone, and further, the user label information is a phone number of the smart phone.
5. A respiratory infectious disease monitoring system based on cough symptoms according to claim 3, wherein the positioning unit (21) comprises a beidou positioning unit.
6. A respiratory infectious disease monitoring system based on cough symptoms according to claim 3, wherein the cough user information screening and collating module (3) comprises:
abnormal user matching extraction unit (31): the unit extracts user mark information in the user detection abnormal information, extracts geographical position information and user background information of a user from a real-time user database in a matching way according to the user mark information, summarizes the user detection abnormal information, the geographical position information and the user background information into abnormal user data information, and the abnormal user data information of all abnormal users forms an abnormal user database;
query unit (32): and connecting an abnormal user database, wherein the unit provides an inquiry reading interface for reading the abnormal user data information in the abnormal user database.
7. A respiratory infectious disease monitoring system based on cough symptoms according to claim 1, wherein the summary pre-alarm module (4) comprises:
cough incidence curve construction unit (41): constructing a multidimensional cough incidence curve;
early warning unit (42): and comparing the multidimensional cough incidence curve to generate infectious disease early warning information and early warning in real time.
8. A respiratory infectious disease monitoring system based on cough symptoms according to claim 7, wherein the multidimensional cough incidence curves comprise a daily incidence curve, a near 7-day average incidence curve and an annual average incidence curve,
the daily incidence curve is obtained as follows: determining the number of abnormal cough users per minute according to the abnormal user database, correspondingly acquiring the total number of regional simultaneous period users according to the real-time user database, calculating the cough incidence rate per minute by dividing the number of abnormal cough users per minute by the total number of regional simultaneous period users, and drawing a daily incidence rate curve according to the cough incidence rate per minute;
further, a near 7-day average incidence curve and an annual average incidence curve were constructed from the historical daily incidence curves.
9. The respiratory infectious disease monitoring system based on cough symptoms as claimed in claim 7, wherein the early warning unit (42) compares the daily incidence curve with the previous 1-day incidence curve, the near 7-day average incidence curve and the annual average incidence curve, and generates infectious disease early warning information and gives an early warning in real time if the daily incidence is suddenly increased.
10. A method for monitoring respiratory infectious diseases based on cough symptoms, which is based on the system of any one of claims 1 to 9, comprising the steps of:
step S1: identifying cough symptoms of the user, judging whether the cough symptoms are abnormal or not, and uploading the detected abnormal information of the user when the cough symptoms are abnormal;
step S2: acquiring real-time user data in an area, and constructing a real-time user database, wherein the real-time user database comprises the number information of user terminals in the area, geographical position information and user background information, and the user background information comprises personal information of users;
step S3: sorting and screening are carried out according to the user detection abnormal information and the real-time user database to form an abnormal user database, wherein the abnormal user database comprises abnormal user data information of all abnormal users, and the abnormal user data information comprises user detection abnormal information, geographical position information and user background information;
step S4: determining the number of abnormal cough users per minute according to the abnormal user database, correspondingly acquiring the total number of regional simultaneous period users according to the real-time user database, calculating the cough incidence rate per minute by dividing the number of abnormal cough users per minute by the total number of regional simultaneous period users, and drawing a daily incidence rate curve according to the cough incidence rate per minute;
step S5: constructing a near 7-day average incidence curve and an annual average incidence curve according to the historical daily incidence curve;
step S6: and comparing the daily incidence curve with the incidence curve of the previous 1 day, the average incidence curve of the nearly 7 days and the average incidence curve of the annual incidence, and generating infectious disease early warning information and giving an early warning in real time if the incidence of the current day is increased suddenly.
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