Disclosure of Invention
The invention mainly aims to provide a human respiratory system risk management and control early warning method, device and storage medium, and aims to solve the technical problem of how to accurately acquire individual vital sign data and target respiratory frequency and simultaneously facilitate a user to observe abnormal conditions of a body in time.
In order to achieve the above object, the present invention provides a method for managing and early warning risk of human respiratory system, the method for managing and early warning risk of human respiratory system comprising:
collecting multi-vital sign data of a user to be detected, wherein the multi-vital sign data comprise heart rate, blood oxygen and body temperature;
determining the high-order duration time corresponding to the high-order state of the multi-vital sign data in a preset vital sign;
Determining a target respiratory rate of the user to be detected according to the high-order duration, wherein the target respiratory rate is an abnormal respiratory rate;
And carrying out human respiratory system risk management and control early warning on the user to be detected according to the high-level duration and the target respiratory frequency.
Optionally, the step of determining that the multi-vital sign data is in a high duration corresponding to a preset vital sign high state includes:
determining identity information of the user to be detected;
Determining corresponding preset high-order state conditions according to the identity information;
Extracting a plurality of vital sign data to be monitored from the multi-vital sign data according to the preset high-order state condition;
And determining the high-order duration time corresponding to the high-order state of the vital sign of the plurality of vital sign data to be monitored.
Optionally, the step of determining the target respiratory rate of the user to be detected according to the high duration includes:
Generating a vital sign graph according to a plurality of vital sign data to be monitored when the high-order duration is longer than a preset duration;
And determining the target respiratory frequency of the user to be detected according to the trend of the vital sign graph.
Optionally, the step of determining the target respiratory rate of the user to be detected according to the trend of the vital sign graph includes:
when the trend of the vital sign graph is in a gentle trend or an ascending trend, determining a plurality of respiratory frequencies to be processed according to a plurality of vital sign data to be monitored;
determining a corresponding normal respiratory frequency according to the identity information;
judging whether abnormal respiratory frequency exists in the respiratory frequencies to be processed according to the normal respiratory frequency;
if the abnormal respiratory rate exists in the respiratory rates to be processed, selecting a plurality of abnormal respiratory rates to be processed from the respiratory rates to be processed;
And determining the target respiratory rate of the user to be detected according to the plurality of abnormal respiratory rates to be processed.
Optionally, after the step of determining whether an abnormal respiratory rate exists in the plurality of respiratory rates to be processed according to the normal respiratory rate, the method further includes:
If the abnormal respiratory rate does not exist in the respiratory rates to be processed, determining a health strategy according to the vital sign graph and the identity information of the user to be detected;
and carrying out emergency treatment on the user to be detected according to the health strategy.
Optionally, the step of determining the target respiratory rate of the user to be detected according to the trend of the vital sign graph further comprises:
When the trend of the vital sign graph is in a descending trend, determining a plurality of respiratory frequencies to be processed according to a plurality of vital sign data to be monitored;
selecting the lowest respiratory rate from a plurality of respiratory rates to be processed;
and taking the lowest respiratory rate as a target respiratory rate of the user to be detected.
Optionally, the step of performing risk management and early warning on the human respiratory system of the user to be detected according to the high-level duration and the target respiratory frequency includes:
Determining body abnormal state information according to the high-order duration and the target respiratory frequency;
analyzing the multi-vital sign data according to the abnormal body state information to obtain a vital sign abnormal report;
and carrying out human respiratory system risk management and control early warning on the user to be detected based on the vital sign abnormality report.
In addition, in order to achieve the above objective, the present invention further provides a risk management and control early warning device for a human respiratory system, where the risk management and control early warning device for a human respiratory system includes:
the acquisition module is used for acquiring multi-vital sign data of a user to be detected, wherein the multi-vital sign data comprise heart rate, blood oxygen and body temperature;
the determining module is used for determining the high-order duration time corresponding to the high-order state of the preset vital sign of the multi-vital sign data;
the determining module is further used for determining the target respiratory rate of the user to be detected according to the high-level duration;
And the control early warning module is used for carrying out human respiratory system risk control early warning on the user to be detected according to the high-level duration and the target respiratory frequency.
In addition, in order to achieve the purpose, the invention also provides a human respiratory system risk management and early warning device, which comprises a memory, a processor and a human respiratory system risk management and early warning program stored on the memory and capable of running on the processor, wherein the human respiratory system risk management and early warning program is configured to realize the steps of the human respiratory system risk management and early warning method.
In addition, in order to achieve the above objective, the present invention further provides a storage medium, on which a risk management and early warning program for a human respiratory system is stored, where the risk management and early warning program for a human respiratory system implements the steps of the risk management and early warning method for a human respiratory system as described above when executed by a processor.
The method comprises the steps of firstly collecting multi-vital sign data of a user to be detected, wherein the multi-vital sign data comprise heart rate, blood oxygen and body temperature, then determining that the multi-vital sign data are in high-order duration corresponding to a preset vital sign high-order state, determining target respiratory rate of the user to be detected according to the high-order duration, and then performing human respiratory system risk management and control early warning on the user to be detected according to the high-order duration and the target respiratory rate. Compared with the existing respiratory system monitoring technology, the method mainly relies on a thermometer and an oximeter or diagnoses whether the individual lungs of a user are infected or not through an image technology, diagnosis data are single-point data, the image diagnosis needs to be checked by a professional in a specific place, the diagnosis data are single-point data at a certain moment, abnormal conditions and development trends of the respiratory system of the user cannot be observed in time, and corresponding treatment measures cannot be taken.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a risk management and control early warning device for a human respiratory system in a hardware operation environment according to an embodiment of the present invention.
As shown in fig. 1, the risk management and early warning device for human respiratory system may include a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the human respiratory risk management and early warning device, and may include more or fewer components than shown, or certain components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a risk management and early warning program for the human respiratory system.
In the human respiratory system risk management and early warning device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server, the user interface 1003 is mainly used for data interaction with a user, and the processor 1001 and the memory 1005 in the human respiratory system risk management and early warning device can be arranged in the human respiratory system risk management and early warning device, and the human respiratory system risk management and early warning device invokes a human respiratory system risk management and early warning program stored in the memory 1005 through the processor 1001 and executes the human respiratory system risk management and early warning method provided by the embodiment of the invention.
The embodiment of the invention provides a risk management and control early warning method for a human respiratory system, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the risk management and control early warning method for the human respiratory system.
In this embodiment, the risk management and control early warning method for the respiratory system of the human body includes the following steps:
and S10, collecting multi-vital sign data of a user to be detected, wherein the multi-vital sign data comprise heart rate, blood oxygen and body temperature.
It is easy to understand that the execution main body of this embodiment may be a human respiratory system risk management and control early warning device with functions such as data processing, network communication and program running, for example, an intelligent wearable watch, an intelligent wearable clothing or an intelligent home, which is not limited in this embodiment, this embodiment is illustrated by taking the intelligent wearable watch as an example, where a medical-grade heart rate sensor is stored in the human respiratory system risk management and control early warning device, the human respiratory system risk management and control early warning device may also be a device with a human respiratory system risk management and control early warning function built in the intelligent wearable watch, and the intelligent wearable watch acquisition terminal may acquire and monitor human multiple vital sign data in real time, so as to provide convenient health management data references for respiratory system disease patients.
It should be further noted that, the user to be detected may be a user wearing an intelligent wearable watch, and the multi-vital-sign data may be heart rate data, blood oxygen data, body temperature data and the like acquired in real time by using the medical-level sensor.
Step S20, determining that the multi-vital sign data is in a high-order duration corresponding to a preset vital sign high-order state.
It should be understood that the preset vital sign high-order state is a state that the multi-vital sign data of the individual is higher than the normal multi-vital sign data, and the high-order duration may be a continuous duration that the multi-vital sign data of the individual is higher than the normal multi-vital sign data, and the high-order duration may be 36h, 24h, 48h, or the like.
In a specific implementation, since normal multi-vital sign data corresponding to users of each age group are different, in order to accurately monitor a user to be detected, a processing manner of determining that the multi-vital sign data is in a high-level duration corresponding to a preset vital sign high-level state may be to determine identity information of the user to be detected, then determine a corresponding preset high-level state condition according to the identity information, extract a plurality of vital sign data to be monitored from the multi-vital sign data according to the preset high-level state condition, and determine the high-level duration corresponding to the preset vital sign high-level state of the plurality of vital sign data to be monitored.
It should be noted that, the identity information of the user to be detected may be age, history health information, etc. of the user to be detected, and the preset high-level condition may be abnormal multi-vital sign data corresponding to the user to be detected, where the abnormal multi-vital sign data is different from the normal multi-vital sign data. The respiratory rate of the newborn is assumed to be 40-45 times/minute, the respiratory rate of the child aged 1 month-1 year is assumed to be about 30 times/minute, the respiratory rate of the child aged 1-3 years is assumed to be about 24 times/minute, the respiratory rate of the child aged 4-7 years is assumed to be 20-25 times/minute, the respiratory rate of the child aged 8-14 years is assumed to be about 20 times/minute, the respiratory rate of the preset high-level condition corresponding to the newborn is 45 times/minute or more, the respiratory rate of the preset high-level condition of the child aged 1 month-1 year is assumed to be 30 times/minute or more, the respiratory rate of the preset high-level condition of the child aged 1-3 years is assumed to be 24 times/minute or more, and the like.
In this embodiment, assuming that identity information of a user to be detected is a healthy adult, acquiring multi-vital sign data corresponding to the healthy adult through an intelligent wearable watch, if heart rate data are 75, 80, 90, 110 and 110 in 1-5 minutes each, blood oxygen data are 98, 96, 94, 93 and 92 in 1-5 minutes each, body temperature data are 37.5 ° in 5 minutes each, preset high-order state conditions corresponding to the adult are that the heart rate data are above 90, the blood oxygen data are below 94, and the body temperature data are above 37.3 °, and extracting a plurality of vital sign data to be monitored from the multi-vital sign data according to the preset high-order state conditions, wherein the plurality of vital sign data to be monitored comprise heart rate data of 4 minutes 110 and 5 minutes 110, blood oxygen data of 4 minutes 93 and 5 minutes 92, body temperature data of 37.5 ° in 5 minutes, high-order duration corresponding to the vital sign data are 2 minutes (i.e. 4 minutes and 5 minutes), and the like.
And step S30, determining the target respiratory rate of the user to be detected according to the high-order duration.
It should be noted that, when the high-level duration is detected to reach the preset duration, in order to accurately observe the physical condition of the user, a vital sign graph may be generated according to a plurality of vital sign data to be monitored, and then the target respiratory rate of the user to be detected may be determined according to the trend of the vital sign graph. The preset duration time can be set by a user in a self-defined way, can be 36h, can be 24h, 48h and the like.
It should be understood that, since the vital sign data to be monitored includes heart rate data, blood oxygen data and body temperature data, a heart rate curve, a blood oxygen curve and a body temperature curve need to be generated according to the vital sign data to be monitored respectively, and then a vital sign graph is generated according to the heart rate curve, the blood oxygen curve and the body temperature curve.
In this embodiment, the trends of the heart rate curve, the blood oxygen curve and the body temperature curve, including the upward trend, the downward trend or the gentle trend, can be observed according to the vital sign graph. The vital sign graph is judged to be in a gentle trend when the vital sign graph central rate curve is in a gentle trend, the blood oxygen curve is in a gentle trend and the body temperature curve is in a gentle trend, the vital sign graph is judged to be in an ascending trend when the vital sign graph central rate curve is in an ascending trend, the blood oxygen curve is in a gentle trend or a descending trend and the body temperature curve is in a gentle trend or an ascending trend, the vital sign graph is judged to be in an ascending trend when the vital sign graph central rate curve is in a descending trend, the blood oxygen curve is in a descending trend and the body temperature curve is in a descending trend, and the like.
It should be further understood that when the trend of the vital sign graph is in a gentle trend or an ascending trend, the target respiratory rate of the user to be detected can be determined according to a plurality of to-be-processed respiratory rates corresponding to the period of collecting the vital sign data to be monitored, and whether the respiratory system of the user is abnormal or not is judged according to the target respiratory rate.
And S40, carrying out human respiratory system risk management and control early warning on the user to be detected according to the high-level duration and the target respiratory frequency.
It should be further noted that, in order to accurately perform risk management and control early warning on the human respiratory system, body abnormal state information can be determined according to the high-level duration and the target respiratory frequency, then multiple vital sign data are analyzed according to the body abnormal state information, a vital sign abnormal report is obtained, and risk management and control early warning on the human respiratory system is performed.
In the specific implementation, the high heart rate and low blood oxygen are realized, the high body temperature is kept at a high level for more than 36 hours, the respiratory frequency exceeds a normal value, the respiratory system infection abnormality, namely the physical abnormality state information, is judged, the user monitors and manages according to the physical abnormality state information and the multi-vital sign data, a reference effect is provided for doctor treatment, the multi-vital sign data can be analyzed according to the physical abnormality state information to obtain a vital sign abnormality report, corresponding measures are adopted according to the vital sign abnormality report to deal with, the doctor is in time, the occurrence of chronic pulmonary resistance, bronchitis and pneumonia is prevented, and meanwhile, convenient health management data reference and the like are provided for respiratory system disease patients.
In this embodiment, the intelligent wearable watch acquisition terminal may further acquire human vital sign data when the user sleeps at night, acquire heart rate data, blood oxygen data and body temperature data of the user, and determine that the respiratory system of the user is abnormal when it is monitored that the respiratory frequency of the user is in the respiratory frequency too slow range for a period of time, and may perform early warning, for example, the respiratory frequency too slow range is less than or equal to 12 times/minute, and the duration may be 1mi n, 3min, etc., which is not limited in this embodiment. In specific implementation, a control early warning module can be arranged in the intelligent wearable watch, the control early warning module can be connected with a mobile phone of a user or be connected with a guardian (doctor) of the user, the control early warning module can store contact modes of the user or the guardian (doctor) of the user, when abnormal respiratory systems of the user are monitored, the control early warning module can dial the mobile phone of the user or the guardian (doctor) of the user to remind, the user is awakened in time, and safety risk events of the user are avoided by carrying out early warning on respiratory frequency of the user.
In this embodiment, firstly, multi-vital sign data of a user to be detected is collected, then, high-level duration time of the multi-vital sign data corresponding to a preset vital sign high-level state is determined, a target respiratory rate of the user to be detected is determined according to the high-level duration time, and then, risk management and early warning of a human respiratory system are performed on the user to be detected according to the high-level duration time and the target respiratory rate. Compared with the existing respiratory system monitoring technology, whether the individual lungs of the user are infected or not is mainly diagnosed by means of a thermometer and an oximeter or through an image technology, diagnosis data are single-point data, the image diagnosis needs to be conducted on a specific place by a professional, the diagnosis data are single-point data at a certain moment, abnormal conditions and development trends of the respiratory system of the user cannot be observed in time, corresponding treatment measures cannot be taken, multiple vital sign data of the user to be detected and the determined target respiratory frequency are collected in real time through a terminal in the embodiment, accurate monitoring of changes and development trends of the respiratory system of the target user is achieved, the user can observe abnormal conditions of the body in time conveniently, and experience of the user is improved.
Referring to fig. 3, fig. 3 is a flowchart of a second embodiment of the risk management and control early warning method for human respiratory system according to the present invention.
Based on the first embodiment, in this embodiment, the step S20 further includes:
Step S201, determining the identity information of the user to be detected.
It is further noted that when the user to be detected monitors the multi-vital-sign data by using the intelligent wearable watch, identity information of the user to be detected needs to be set in the intelligent wearable watch in advance, so that the intelligent wearable watch can manage the multi-vital-sign data according to the identity information of the user to be detected. For example, the age, the historical health condition and other information of the user to be detected can be determined according to the identity information of the user, for example, the user suffers from heart diseases, the preset high-level state condition can be set to be 10% higher than the normal heart rate value or 10% lower than the normal heart rate value, the blood oxygen data is lower than the normal blood oxygen value, the body temperature data is higher than the normal body temperature value and the like, if the historical health condition information of the user is good, the preset high-level state condition can be set to be higher than the normal heart rate value, the blood oxygen data is lower than the normal blood oxygen value, the body temperature data is higher than the normal body temperature value and the like, and the specific preset high-level state condition can be set according to the identity information filled by the user, which is not limited in this embodiment.
Step S202, corresponding preset high-order state conditions are determined according to the identity information.
It should be understood that the preset high-order state condition may be abnormal multi-vital sign data corresponding to the user to be detected, the abnormal multi-vital sign data being different from the normal multi-vital sign data. The preset high-level condition can be understood as that the heart rate is higher than the preset heart rate value, the blood oxygen is lower than the preset blood oxygen value, and the body temperature is higher than the preset body temperature value. The preset heart rate value, the preset blood oxygen value, the preset body temperature value and the preset respiratory rate value can be set and modified according to the identity information of the user, and the embodiment is not limited in number. For example, a high-order state condition preset by an adult user with healthy body can be understood as that heart rate data is more than 90, blood oxygen data is less than 94, and body temperature data is more than 37.3 degrees.
The normal respiratory rate of the neonate is assumed to be 40-45 times/min, the normal respiratory rate of the 1 month-1 year old child is assumed to be about 30 times/min, the normal respiratory rate of the 1-3 year old child is assumed to be about 24 times/min, the normal respiratory rate of the 4-7 year old child is assumed to be 20-25 times/min, the normal respiratory rate of the 8-14 year old child is assumed to be about 20 times/min, the preset high-level state condition corresponding to the neonate is assumed to be more than 45 times/min, the preset high-level state condition of the 1 month-1 year old child is assumed to be more than 30 times/min, the preset high-level state condition of the 1-3 year old child is assumed to be more than 25 times/min, and the like.
Step S203, extracting a plurality of vital sign data to be monitored from the multi-vital sign data according to the preset high-order state condition.
In this embodiment, assuming that identity information of a user to be detected is an adult with healthy body, acquiring multi-vital sign data corresponding to the adult through an intelligent wearable watch, if heart rate data are 75, 80, 90, 110 and 110 in 1-5 minutes each minute, blood oxygen data are 98, 96, 94, 93 and 92 in 1-5 minutes each minute, body temperature data are 37.5 degrees in 5 minutes, preset high-order state conditions corresponding to the adult are that the heart rate data are above 90, the blood oxygen data are below 94, and the body temperature data are above 37.3 degrees, extracting a plurality of vital sign data to be monitored from the multi-vital sign data according to the preset high-order state conditions, wherein the plurality of vital sign data to be monitored include heart rate data 110 and 110, blood oxygen data 93 and 92, and body temperature data are 37.5 degrees.
Step S204, determining the duration of the high position corresponding to the high position state of the vital sign data to be monitored.
It should be further noted that, because the multi-vital sign data to be monitored includes heart rate data, blood oxygen data and body temperature data, the corresponding time when the heart rate data, the blood oxygen data and the body temperature data all meet the preset high-level state conditions can be counted, and then the high-level duration time when the heart rate data, the blood oxygen data and the body temperature data are in the preset vital sign high-level state is needed to be counted.
In a specific implementation, assuming that heart rate data of 4 th minute 110 and 5 th minute 110, blood oxygen data of 4 th minute 94 and 5 th minute 93, and body temperature data of 37.5 ° in 5 minutes in a plurality of vital sign data to be monitored, the duration of the high order corresponding to the vital sign data to be monitored is 2 minutes (i.e. 4 th minute and 5 th minute).
In this embodiment, firstly, identity information of a user to be detected is determined, then, corresponding preset high-level state conditions are determined according to the identity information, and a plurality of vital sign data to be monitored are extracted from multi-vital sign data according to the preset high-level state conditions, then, high-level duration corresponding to the high-level state of the vital sign data to be monitored is determined, the existing respiratory system monitoring technology mainly relies on a thermometer, an oximeter or an imaging technology to diagnose whether the lung of the user individual is infected, the diagnosis data are single-point data, the obtained multi-vital sign data are data at a certain moment, and the problem that the multi-vital sign data are discontinuous can occur, so that abnormal body conditions and development trends of the user to be detected cannot be accurately analyzed.
Referring to fig. 4, fig. 4 is a flowchart of a third embodiment of the risk management and control early warning method for human respiratory system according to the present invention.
Based on the above second embodiment, in this embodiment, the step S30 further includes:
And step 301, when the high-order duration is longer than the preset duration, generating a vital sign graph according to the vital sign data to be monitored.
It should be understood that, since the vital sign data to be monitored includes heart rate data, blood oxygen data and body temperature data, a heart rate curve, a blood oxygen curve and a body temperature curve need to be generated according to the vital sign data to be monitored respectively, and then a vital sign graph is generated according to the heart rate curve, the blood oxygen curve and the body temperature curve.
Step S302, determining the target respiratory rate of the user to be detected according to the trend of the vital sign graph.
In this embodiment, the trends of the heart rate curve, the blood oxygen curve and the body temperature curve, including the upward trend, the downward trend or the gentle trend, can be observed according to the vital sign graph. The vital sign graph is judged to be in a gentle trend when the vital sign graph central rate curve is in a gentle trend, the blood oxygen curve is in a gentle trend and the body temperature curve is in a gentle trend, the vital sign graph is judged to be in an ascending trend when the vital sign graph central rate curve is in an ascending trend, the blood oxygen curve is in a gentle trend or a descending trend and the body temperature curve is in a gentle trend or an ascending trend, the vital sign graph is judged to be in an ascending trend when the vital sign graph central rate curve is in a descending trend, the blood oxygen curve is in a descending trend and the body temperature curve is in a descending trend, and the like.
When the trend of the vital sign graph is in a gentle trend or an ascending trend, the high heart rate and the low blood oxygen to be detected are judged, the high body temperature is continuously above a high preset duration, whether the user has respiratory system infection is further required to be judged, the judging mode can be that a plurality of respiratory frequencies to be processed are determined according to a plurality of vital sign data to be monitored, corresponding normal respiratory frequencies are determined according to identity information, whether abnormal respiratory frequencies exist in the plurality of respiratory frequencies to be processed is judged according to the normal respiratory frequencies, and if the abnormal respiratory frequencies exist in the plurality of respiratory frequencies to be processed, the condition that the user to be detected possibly has respiratory system infection is indicated. If the abnormal respiratory rate does not exist in the plurality of respiratory rates to be processed, the condition that the respiratory system infection does not exist in the user to be detected is indicated, a health strategy is required to be determined according to the vital sign graph and the identity information of the user to be detected, and then emergency treatment and the like are carried out on the user to be detected according to the health strategy.
It should be understood that the health policy may be a treatment measure of illness formulated by a doctor for the vital sign graph and identity information of the user to be detected, and the user to be detected may perform emergency treatment according to the health policy in an emergency, etc.
When the trend of the vital sign graph is in a descending trend, it is stated that the respiratory system of the user may be abnormal at the moment, a plurality of corresponding time periods corresponding to the vital sign data to be monitored can be collected to determine a plurality of corresponding respiratory frequencies to be processed, wherein the time for collecting the respiratory frequencies to be processed is consistent with the time for collecting the vital sign data to be monitored, then the lowest respiratory frequency is selected from the respiratory frequencies to be processed, the lowest respiratory frequency is used as the target respiratory frequency of the user to be detected, the target respiratory frequency is compared with the respiratory frequency too slow range, when the target respiratory frequency is in the respiratory frequency too slow range for a period of time, the respiratory system of the user at the moment is judged, the physical condition of the user can be further detected, and the type of the respiratory system abnormality of the user is determined.
In the embodiment, when the high-order duration is longer than the preset duration, a vital sign graph is generated according to a plurality of vital sign data to be monitored, and then the target respiratory rate of the user to be detected is determined according to the trend of the vital sign graph, compared with the prior art that whether the individual lungs of the user are infected only by means of a thermometer, an oximeter or by an imaging technique, the diagnosis data are single-point data, in the embodiment, when the high-level duration is longer than the preset duration, the situation that the user has high heart rate, low blood oxygen and high body temperature can be judged, and then the target respiratory rate of the user to be detected can be determined according to the trend of the vital sign graph, so that the change and development trend of the respiratory system of the target user can be accurately monitored, and the user can observe abnormal body conditions in time.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with a human respiratory system risk management and early warning program, and the human respiratory system risk management and early warning program realizes the steps of the human respiratory system risk management and early warning method when being executed by a processor.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of a risk management and control early warning device for human respiratory system according to the present invention.
As shown in fig. 5, the risk management and control early warning device for the human respiratory system provided by the embodiment of the invention includes:
the acquisition module 5001 is configured to acquire multi-vital sign data of a user to be detected.
It is easy to understand that the execution main body of this embodiment may be a human respiratory system risk management and control early warning device with functions such as data processing, network communication and program running, for example, an intelligent wearable watch, an intelligent wearable clothing or an intelligent home, which is not limited in this embodiment, this embodiment is illustrated by taking the intelligent wearable watch as an example, where a medical-grade heart rate sensor is stored in the human respiratory system risk management and control early warning device, the human respiratory system risk management and control early warning device may also be a device with a human respiratory system risk management and control early warning function built in the intelligent wearable watch, and the intelligent wearable watch acquisition terminal may acquire and monitor human multiple vital sign data in real time, so as to provide convenient health management data references for respiratory system disease patients.
It should be further noted that, the user to be detected may be a user wearing an intelligent wearable watch, and the multi-vital-sign data may be heart rate data, blood oxygen data, body temperature data and the like acquired in real time by using the medical-level sensor.
A determining module 5002, configured to determine a high duration corresponding to the multi-vital sign data being in a preset vital sign high state.
It should be understood that the preset vital sign high-order state is a state that the multi-vital sign data of the individual is higher than the normal multi-vital sign data, and the high-order duration may be a continuous duration that the multi-vital sign data of the composite is higher than the normal multi-vital sign data, and the high-order duration may be 36h, 24h, 48h, or the like.
In a specific implementation, since normal multi-vital sign data corresponding to users of each age group are different, in order to accurately monitor a user to be detected, a processing manner of determining that the multi-vital sign data is in a high-level duration corresponding to a preset vital sign high-level state may be to determine identity information of the user to be detected, then determine a corresponding preset high-level state condition according to the identity information, extract a plurality of vital sign data to be monitored from the multi-vital sign data according to the preset high-level state condition, and determine the high-level duration corresponding to the preset vital sign high-level state of the plurality of vital sign data to be monitored.
It should be noted that, the identity information of the user to be detected may be age, history health information, etc. of the user to be detected, and the preset high-level condition may be abnormal multi-vital sign data corresponding to the user to be detected, where the abnormal multi-vital sign data is different from the normal multi-vital sign data. The respiratory rate of the newborn is assumed to be 40-45 times/minute, the respiratory rate of the child aged 1 month-1 year is assumed to be about 30 times/minute, the respiratory rate of the child aged 1-3 years is assumed to be about 24 times/minute, the respiratory rate of the child aged 4-7 years is assumed to be 20-25 times/minute, the respiratory rate of the child aged 8-14 years is assumed to be about 20 times/minute, the respiratory rate of the preset high-level condition corresponding to the newborn is 45 times/minute or more, the respiratory rate of the preset high-level condition of the child aged 1 month-1 year is assumed to be 30 times/minute or more, the respiratory rate of the preset high-level condition of the child aged 1-3 years is assumed to be 24 times/minute or more, and the like.
In this embodiment, assuming that identity information of a user to be detected is a healthy adult, acquiring multi-vital sign data corresponding to the healthy adult through an intelligent wearable watch, if heart rate data are 75, 80, 90, 110 and 110 in 1-5 minutes each, blood oxygen data are 98, 96, 94, 93 and 92 in 1-5 minutes each, body temperature data are 37.5 ° in 5 minutes each, preset high-order state conditions corresponding to the adult are that the heart rate data are above 90, the blood oxygen data are below 94, and the body temperature data are above 37.3 °, and extracting a plurality of vital sign data to be monitored from the multi-vital sign data according to the preset high-order state conditions, wherein the plurality of vital sign data to be monitored comprise heart rate data of 4 minutes 110 and 5 minutes 110, blood oxygen data of 4 minutes 93 and 5 minutes 92, body temperature data of 37.5 ° in 5 minutes, high-order duration corresponding to the vital sign data are 2 minutes (i.e. 4 minutes and 5 minutes), and the like.
The determining module 5002 is further configured to determine a target respiratory rate of the user to be detected according to the high duration.
It should be noted that, when the high-level duration is detected to reach the preset duration, in order to accurately observe the physical condition of the user, a vital sign graph may be generated according to a plurality of vital sign data to be monitored, and then the target respiratory rate of the user to be detected may be determined according to the trend of the vital sign graph. The preset duration time can be set by a user in a self-defined way, can be 36h, can be 24h, 48h and the like.
It should be understood that, since the vital sign data to be monitored includes heart rate data, blood oxygen data and body temperature data, a heart rate curve, a blood oxygen curve and a body temperature curve need to be generated according to the vital sign data to be monitored respectively, and then a vital sign graph is generated according to the heart rate curve, the blood oxygen curve and the body temperature curve.
In this embodiment, the trends of the heart rate curve, the blood oxygen curve and the body temperature curve, including the upward trend, the downward trend or the gentle trend, can be observed according to the vital sign graph. The vital sign graph is judged to be in a gentle trend when the vital sign graph central rate curve is in a gentle trend, the blood oxygen curve is in a gentle trend and the body temperature curve is in a gentle trend, the vital sign graph is judged to be in an ascending trend when the vital sign graph central rate curve is in an ascending trend, the blood oxygen curve is in a gentle trend or a descending trend and the body temperature curve is in a gentle trend or an ascending trend, the vital sign graph is judged to be in an ascending trend when the vital sign graph central rate curve is in a descending trend, the blood oxygen curve is in a descending trend and the body temperature curve is in a descending trend, and the like.
It should be further understood that when the trend of the vital sign graph is in a gentle trend or an ascending trend, the target respiratory rate of the user to be detected can be determined according to a plurality of to-be-processed respiratory rates corresponding to the period of collecting the vital sign data to be monitored, and whether the respiratory system of the user is abnormal or not is judged according to the target respiratory rate.
And a control and early warning module 5003, configured to perform risk control and early warning on the human respiratory system of the user to be detected according to the high-level duration and the target respiratory frequency.
It should be further noted that, in order to accurately perform risk management and control early warning on the human respiratory system, body abnormal state information can be determined according to the high-level duration and the target respiratory frequency, then multiple vital sign data are analyzed according to the body abnormal state information, a vital sign abnormal report is obtained, and risk management and control early warning on the human respiratory system is performed.
In the specific implementation, the high heart rate and low blood oxygen are realized, the high body temperature is kept at a high level for more than 36 hours, the respiratory frequency exceeds a normal value, the respiratory system infection abnormality, namely the physical abnormality state information, is judged, the user monitors and manages according to the physical abnormality state information and the multi-vital sign data, a reference effect is provided for doctor treatment, the multi-vital sign data can be analyzed according to the physical abnormality state information to obtain a vital sign abnormality report, corresponding measures are adopted according to the vital sign abnormality report to deal with, the doctor is in time, the occurrence of chronic pulmonary resistance, bronchitis and pneumonia is prevented, and meanwhile, convenient health management data reference and the like are provided for respiratory system disease patients.
In a specific implementation, the control early-warning module 5003 may be connected to a mobile phone of the user or establish a connection with a guardian (doctor) of the user, and the control early-warning module may store a contact address of the user or the guardian (doctor) of the user. When the respiratory rate of the user is monitored to be in the respiratory rate too slow range for a period of time, the respiratory system of the user is judged to be abnormal, early warning can be carried out, the management and control early warning module can dial a mobile phone of the user or a mobile phone of a guardian (doctor) of the user to remind, the user is awakened in time, and the occurrence of health and safety risk events of the user is avoided.
In this embodiment, firstly, multi-vital sign data of a user to be detected is collected, then, high-level duration time of the multi-vital sign data corresponding to a preset vital sign high-level state is determined, a target respiratory rate of the user to be detected is determined according to the high-level duration time, and then, risk management and early warning of a human respiratory system are performed on the user to be detected according to the high-level duration time and the target respiratory rate. Compared with the existing respiratory system monitoring technology, whether the individual lungs of the user are infected or not is mainly diagnosed by means of a thermometer and an oximeter or through an image technology, diagnosis data are single-point data, the image diagnosis needs to be conducted on a specific place by a professional, the diagnosis data are single-point data at a certain moment, abnormal conditions and development trends of the respiratory system of the user cannot be observed in time, and corresponding treatment measures cannot be taken.
Other embodiments or specific implementation manners of the risk management and control early warning device for the human respiratory system of the present invention may refer to the above method embodiments, and will not be described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read-only memory/random-access memory, magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.