Remote vital sign monitoring and guaranteeing system and method based on Internet of Things technology

Abstract

The invention discloses a remote vital sign monitoring and guaranteeing system and method based on the Internet of Things technology, and the system comprises a data collection module, a drug administration module, a remote terminal and a transfer monitoring cloud platform, and the transfer monitoring cloud platform is in data connection with the data collection module, the drug administration module and the remote terminal; according to the invention, the drug administration module is remotely controlled through the transfer monitoring cloud platform to carry out drug administration, so that remote first aid of a patient is realized, and delay of an optimal treatment opportunity is avoided; according to the transfer monitoring cloud platform, the data analysis module is used for automatically evaluating the illness state, and the control module is used for quickly generating a drug administration scheme according to the basic information of a patient and an evaluation result, so that intelligent decision support is realized, decision reference is provided for medical staff, and the decision efficiency is improved; the remote patient monitoring technology is applied to the transfer of the emergency patient, the vital signs of the patient are received, the change of the vital signs of the patient can be fed back, and the risk in the transfer process of the emergency patient is greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a remote vital sign monitoring and assurance system and method based on Internet of Things technology. Background Art

[0002] Remote patient monitoring is a medical model that uses modern information technology to monitor the health and manage diseases of patients at a distance. It mainly uses emerging electronic and information technologies such as wireless sensor technology, mobile Internet, cloud computing, and the Internet of Things to collect the patient's physiological data through various wearable devices and home medical monitoring equipment, and transmit these data to medical institutions or cloud platforms for medical staff to analyze and process. Although remote patient monitoring technology can monitor the patient's vital signs, it cannot directly intervene and treat the patient in an emergency, which will delay the best time for treatment; and the analysis of data by remote patient monitoring technology depends on the experience of medical staff, which has the problems of low analysis efficiency and easy deviation of analysis results; at the same time, the application of remote patient monitoring technology in the transportation of emergency patients is still blank. Since the transport emergency vehicle is only equipped with basic monitors, the professional capabilities of the grassroots medical staff on board are uneven, and the doctors at the destination hospital are often unable to grasp the changes in the patient's vital signs in the first time, so they cannot give professional medication guidance in time, which leads to the death of emergency patients during the transportation process due to the lack of timely treatment. Summary of the invention

[0003] The purpose of the present invention is to provide a remote vital signs monitoring and protection system and method based on Internet of Things technology to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a remote vital signs monitoring and protection system based on Internet of Things technology, including a data acquisition module, a medication module, a remote terminal and a transport monitoring cloud platform, wherein the transport monitoring cloud platform establishes data connections with the data acquisition module, the medication module and the remote terminal respectively.

[0005] Preferably, the data acquisition module includes a patient basic information acquisition submodule and a vital sign data acquisition submodule.

[0006] Preferably, the drug administration module includes a drug administration parameter monitoring submodule, a drug administration parameter adjustment submodule, an injection pump submodule and a drug storage submodule.

[0007] Preferably, the transfer monitoring cloud platform includes a data monitoring module, a data visualization module, a data storage module, a graded warning module, a data analysis module, a control module and an online learning module. The data storage module establishes data connections with the data monitoring module, the data analysis module and the online learning module respectively, the data monitoring module establishes data connections with the data visualization module and the graded warning module respectively, and the online learning module establishes data connections with the data analysis module and the control module respectively.

[0008] Preferably, the data analysis module includes a data preprocessing submodule and a condition assessment submodule, and the algorithm adopted by the condition assessment submodule is one of a decision tree, a random forest, a support vector machine, an artificial neural network, a convolutional neural network and a principal component analysis.

[0009] Preferably, the control module includes a medication regimen generation submodule, a manual intervention submodule and a medication adjustment scheme execution submodule. The medication regimen generation submodule adopts the following formula:

[0010] in, is the initial dosage of the drug, The dosage of the drug after adjustment is Initial drug delivery rate, is the adjusted drug delivery rate, For standard weight, is the patient's weight, is the patient's age, is the disease severity coefficient, It is an adjustment factor determined based on drug characteristics and clinical experience. Adjustment factors were determined for gender differences.

[0011] Preferably, the online learning module includes a condition assessment algorithm optimization submodule and a medication adjustment scheme generation algorithm optimization submodule.

[0012] The remote vital sign monitoring and guarantee method based on the Internet of Things technology includes step one, data collection; step two, data monitoring; step three, condition assessment; step four, medication plan generation; step five, medication plan execution; step six, medication feedback; In the above step 1, the remote vital signs monitoring and support system is deployed on the ambulance, and a data connection is established between the transport monitoring cloud platform and the data acquisition module, the medication module and the remote terminal. The patient's basic information and vital signs data are collected by the data acquisition module and uploaded to the data storage module in the transport monitoring cloud platform for storage, and visualized by the data visualization module; In the above step 2, the data monitoring module of the transport monitoring cloud platform monitors whether the vital sign data collected in step 1 exceeds the threshold, and monitors whether the duration of exceeding the threshold reaches the set time. If it exceeds the threshold and the time of exceeding the threshold reaches the set time, step 3 is executed, otherwise it returns to step 2; In the above step 3, the data analysis module of the transport monitoring cloud platform evaluates the severity of the disease, and the graded warning module sends a warning reminder to the remote terminal based on the evaluation results; In the above step 4, the control module generates a medication regimen based on the evaluation results obtained in step 3 and the basic information of the patient collected in step 1; In the above step 5, the medication regimen obtained in step 4 is determined, adjusted and terminated through the remote terminal, and the manually determined and adjusted medication regimen is handed over to the medication adjustment regimen execution submodule for execution. If the waiting time for manual intervention reaches the preset time, it is directly handed over to the medication adjustment regimen execution submodule for execution. The medication adjustment regimen execution submodule issues instructions to the medication module, and the medication module administers the medication to the patient; In the above step six, when the time for the drug to fully exert its effect is reached, the data monitoring module is used to determine whether the vital sign data is stable within the threshold range, and the judgment result is output as feedback for this medication.

[0013] Preferably, in step one, the patient's basic information includes disease type, age, gender and weight, and the vital signs data includes heart rate, blood pressure, blood oxygen saturation, body temperature and respiratory rate.

[0014] Preferably, in step three, the data analysis module evaluates the severity of the disease as follows: the data analysis module cleans the data through a data preprocessing submodule, processes missing values ​​and abnormal values, and then performs standardization, and then inputs the preprocessed data into the disease assessment submodule, and the disease assessment submodule outputs the assessment result.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention remotely controls the medication module to administer medication through the transport monitoring cloud platform, thereby realizing remote first aid for patients and avoiding delay in the best treatment opportunity; the transport monitoring cloud platform of the present invention utilizes the data analysis module to automatically evaluate the condition, and the control module quickly generates a medication plan based on the patient's basic information and the evaluation results, thereby realizing intelligent decision support, providing decision-making references for medical staff, and improving decision-making efficiency; the present invention applies remote patient monitoring technology to the transport of emergency patients, not only receiving the patient's vital signs, but also providing feedback on changes in the patient's vital signs, greatly reducing the risk of emergency patients during transport. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a system structure block diagram of the present invention; Figure 2 This is a structural block diagram of the drug delivery module of the present invention; Figure 3 This is a structural block diagram of the transport monitoring cloud platform of the present invention; Figure 4 It is a structural block diagram of the data analysis module of the present invention; Figure 5 It is a structural block diagram of the data control module of the present invention; Figure 6 It is a structural block diagram of the online learning module of the present invention; Figure 7 is a flow chart of the method of the present invention; Figure 8 It is a flow chart of the steps of the present invention.

[0017] In the figure: 1. Data acquisition module; 11. Patient basic information acquisition submodule; 12. Vital signs data acquisition submodule; 2. Drug administration module; 21. Drug administration parameter monitoring submodule; 22. Drug administration parameter adjustment submodule; 23. Injection pump submodule; 24. Drug storage submodule; 3. Remote terminal; 4. Transport monitoring cloud platform; 41. Data monitoring module; 42. Data visualization module; 43. Data storage module; 44. Grading warning module; 45. Data analysis module; 451. Data preprocessing submodule; 452. Condition assessment submodule; 46. Control module; 461. Drug administration plan generation submodule; 462. Manual intervention submodule; 463. Drug administration adjustment plan execution submodule; 47. Online learning module; 471. Condition assessment algorithm optimization submodule; 472. Drug administration adjustment plan generation algorithm optimization submodule. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Please see attached Figure 1 -Attached Figure 6The present invention provides an embodiment: a remote vital signs monitoring and protection system based on the Internet of Things technology, including a data acquisition module 1, a medication module 2, a remote terminal 3 and a transport monitoring cloud platform 4, the transport monitoring cloud platform 4 respectively establishes data connections with the data acquisition module 1, the medication module 2 and the remote terminal 3, the data acquisition module 1 is used to collect data, the medication module 2 is used to administer medication to patients, the remote terminal 3 is used to access the transport monitoring cloud platform 4, and perform data viewing and operation, and the transport monitoring cloud platform 4 is used for data monitoring, analysis and processing; the data acquisition module 1 includes a patient basic information acquisition submodule 11 and a vital signs data acquisition submodule 12, the patient basic information acquisition submodule 11 is used to collect patient basic information, The vital sign data collection submodule 12 is used to collect vital sign data. The patient's basic information includes the type of disease, age, gender and weight. The vital sign data includes heart rate, blood pressure, blood oxygen saturation, body temperature and respiratory rate; the drug administration module 2 includes a drug administration parameter monitoring submodule 21, a drug administration parameter adjustment submodule 22, an injection pump submodule 23 and a drug storage submodule 24. The drug administration parameter monitoring submodule 21 is used to collect data from the injection pump submodule 23 and the drug storage submodule 24, and upload them to the transport monitoring cloud platform 4. The drug administration parameter adjustment submodule 22 is used to execute drug administration control instructions, adjust the dosage and drug administration speed, the injection pump submodule 23 is used to execute drug administration operations, and the drug storage submodule 24 is used to store drugs; The cloud monitoring platform 4 includes a data monitoring module 41, a data visualization module 42, a data storage module 43, a graded warning module 44, a data analysis module 45, a control module 46 and an online learning module 47. The data storage module 43 establishes data connections with the data monitoring module 41, the data analysis module 45 and the online learning module 47 respectively. The data monitoring module 41 establishes data connections with the data visualization module 42 and the graded warning module 44 respectively. The online learning module 47 establishes data connections with the data analysis module 45 and the control module 46 respectively. The data monitoring module 41 is used to monitor whether the vital sign data is abnormal. The data visualization module 42 is used to visualize the data for medical staff to view. The storage module 43 is used to store data, the graded warning module 44 is used to make graded warnings according to the analysis results of the data analysis module 45, the data analysis module 45 is used to analyze vital sign data and output the condition assessment results, the control module 46 is used to generate medication control instructions, and the online learning module 47 is used to optimize the algorithm; the data analysis module 45 includes a data preprocessing submodule 451 and a condition assessment submodule 452, the algorithm used by the condition assessment submodule 452 is one of a decision tree, a random forest, a support vector machine, an artificial neural network, a convolutional neural network and a principal component analysis, the data preprocessing submodule 451 is used to clean and normalize the data, and the condition assessment submodule 452 is used to assess the severity of the condition;The control module 46 includes a medication regimen generation submodule 461, a manual intervention submodule 462, and a medication adjustment scheme execution submodule 463. The medication regimen generation submodule 461 is used to generate a medication regimen in combination with the patient's basic information and the condition assessment results, the manual intervention submodule 462 is used to manually review and adjust the medication regimen, and the medication adjustment scheme execution submodule 463 is used to execute the medication regimen and generate medication control instructions. The medication regimen generation submodule 461 adopts the following formula:

[0020] in, is the initial dosage of the drug, The dosage of the drug after adjustment is Initial drug delivery rate, is the adjusted drug delivery rate, For standard weight, is the patient's weight, is the patient's age, is the disease severity coefficient, It is an adjustment factor determined based on drug characteristics and clinical experience. The adjustment coefficient is determined for gender differences; the online learning module 47 includes a condition assessment algorithm optimization submodule 471 and a medication adjustment scheme generation algorithm optimization submodule 472, the condition assessment algorithm optimization submodule 471 is used to optimize the algorithm of the condition assessment submodule 452, and the medication adjustment scheme generation algorithm optimization submodule 472 is used to optimize the algorithm of the medication scheme generation submodule 461.

[0021] Please see attached Figure 7 -Attached Figure 8 The present invention provides an embodiment: a remote vital sign monitoring and protection method based on the Internet of Things technology, comprising step one, data collection; step two, data monitoring; step three, condition assessment; step four, medication regimen generation; step five, medication regimen execution; step six, medication feedback; In the above step 1, the remote vital signs monitoring and support system is deployed on the ambulance, and a data connection is established between the transport monitoring cloud platform 4 and the data acquisition module 1, the medication module 2 and the remote terminal 3. The patient's basic information and vital signs data are collected by the data acquisition module 1, and uploaded to the data storage module 43 in the transport monitoring cloud platform 4 for storage, and visualized by the data visualization module 42; wherein the patient's basic information includes the type of disease, age, gender and weight, and the vital signs data includes heart rate, blood pressure, blood oxygen saturation, body temperature and respiratory rate; In the above step 2, the data monitoring module 41 of the transport monitoring cloud platform 4 monitors whether the vital sign data collected in step 1 exceeds the threshold value, and monitors whether the duration of exceeding the threshold value reaches the set time. If the threshold value is exceeded and the time of exceeding the threshold value reaches the set time, step 3 is executed, otherwise, step 2 is returned to be executed; In the above step 3, the data analysis module 45 of the transport monitoring cloud platform 4 evaluates the severity of the disease, and the graded warning module 44 sends a warning reminder to the remote terminal 3 according to the evaluation result; wherein, the data analysis module 45 evaluates the severity of the disease specifically as follows: the data analysis module 45 cleans the data through the data preprocessing submodule 451, processes missing values ​​and abnormal values, and then performs standardization processing, and then inputs the preprocessed data into the disease assessment submodule 452, and the disease assessment submodule 452 outputs the evaluation result; In the above step 4, the control module 46 generates a medication regimen based on the evaluation results obtained in step 3 and the basic information of the patient collected in step 1; In the above step 5, the medication regimen obtained in step 4 is determined, adjusted and terminated through the remote terminal 3, and the manually determined and adjusted medication regimen is handed over to the medication adjustment regimen execution submodule 463 for execution. If the waiting time for manual intervention reaches the preset time, it is directly handed over to the medication adjustment regimen execution submodule 463 for execution, and the medication adjustment regimen execution submodule 463 issues an instruction to the medication module 2, and the medication module 2 administers the medication to the patient; In the above step 6, when the time for the drug to fully exert its effect is reached, the data monitoring module 41 is used to determine whether the vital sign data is stable within the threshold range, and the determination result is output as feedback for this medication.

[0022] Based on the above, the advantage of the present invention is that when the present invention is used, the patient basic information is collected by the patient basic information collection submodule 11 of the data collection module 1, and the vital sign data collection submodule 12 is used to collect vital sign data. The patient basic information includes the type of disease, age, gender and weight, and the vital sign data includes heart rate, blood pressure, blood oxygen saturation, body temperature and respiratory rate. The data collected by the data collection module 1 is uploaded to the data storage module 43 in the transport monitoring cloud platform 4 for storage, and is visualized by the data visualization module 42. Medical staff can access the transport monitoring cloud platform 4 through the remote terminal 3 to view the data, and the vital sign data will be converted into images and curves to help medical staff. The curve should mainly record the time point and dosage of medication and the changes in the patient's blood pressure, forming medication mark points and blood pressure curves, so that doctors can more intuitively judge the patient's condition and make the next step of operation; the data monitoring module 41 monitors whether the vital sign data exceeds the threshold value, and monitors whether the duration of exceeding the threshold value reaches the set time. If the threshold value is exceeded and the time of exceeding the threshold value reaches the set time, the data is sent to the data analysis module 45. The data analysis module 45 uses the data preprocessing submodule 451 to preprocess the data, and then inputs the data into the condition evaluation submodule 452. The condition evaluation submodule 452 evaluates the severity of the condition and sends the result to the graded warning module 44 and the control module 44. Module 46, the graded warning module 44 performs graded alarms, the drug administration scheme generation submodule 461 of the control module 46 combines the evaluation results and the basic information of the patient to generate a drug administration scheme, and sends it to the manual intervention submodule 462. The medical staff can access the transport monitoring cloud platform 4 through the remote terminal 3, and determine, adjust and terminate the drug administration scheme through the manual intervention submodule 462. When the adjustment is completed or exceeds the preset adjustment time, the drug administration scheme is sent to the drug administration adjustment scheme execution submodule 463. The drug administration adjustment scheme execution submodule 463 issues a command to the drug administration module 2, and the drug administration parameter adjustment submodule 22 adjusts the dosage and drug administration speed, and controls the injection pump submodule 23 to administer the drug. When the drug efficacy is reached, After the full exertion time, the data monitoring module 41 is used to determine whether the vital signs data is stable within the threshold range, and the judgment result is output as the feedback of this medication; among them, the medication parameter monitoring submodule 21 is used to monitor the data of the injection pump submodule 23 and the drug storage submodule 24, and upload them to the transport monitoring cloud platform 4 for display, the drug storage submodule 24 is used to store medicines, and the online learning module 47 is based on the medication regimen and medication feedback data, and optimizes the algorithm through online learning technology, and optimizes the condition assessment submodule 471 using the condition assessment algorithm optimization submodule 452, and optimizes the medication adjustment scheme generation algorithm optimization submodule 472 to optimize the medication scheme generation submodule 461, so as to improve the accuracy of medication.

[0023] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A remote vital signs monitoring and protection system based on Internet of Things technology, comprising a data acquisition module (1), a medication module (2), a remote terminal (3) and a transport monitoring cloud platform (4), characterized in that: The transport monitoring cloud platform (4) establishes data connections with the data acquisition module (1), the medication module (2) and the remote terminal (3) respectively.

2. The remote vital signs monitoring and protection system based on Internet of Things technology according to claim 1 is characterized in that: The data collection module (1) comprises a patient basic information collection submodule (11) and a vital sign data collection submodule (12).

3. The remote vital signs monitoring and protection system based on Internet of Things technology according to claim 1 is characterized in that: The drug administration module (2) comprises a drug administration parameter monitoring submodule (21), a drug administration parameter adjustment submodule (22), an injection pump submodule (23) and a drug storage submodule (24).

4. The remote vital signs monitoring and protection system based on Internet of Things technology according to claim 1 is characterized in that: The transport monitoring cloud platform (4) comprises a data monitoring module (41), a data visualization module (42), a data storage module (43), a graded warning module (44), a data analysis module (45), a control module (46) and an online learning module (47); the data storage module (43) respectively establishes data connections with the data monitoring module (41), the data analysis module (45) and the online learning module (47); the data monitoring module (41) respectively establishes data connections with the data visualization module (42) and the graded warning module (44); and the online learning module (47) respectively establishes data connections with the data analysis module (45) and the control module (46).

5. The remote vital signs monitoring and protection system based on Internet of Things technology according to claim 4 is characterized in that: The data analysis module (45) includes a data preprocessing submodule (451) and a condition assessment submodule (452), and the algorithm used by the condition assessment submodule (452) is one of a decision tree, a random forest, a support vector machine, an artificial neural network, a convolutional neural network and a principal component analysis.

6. The remote vital signs monitoring and protection system based on Internet of Things technology according to claim 4 is characterized by: The control module (46) includes a medication regimen generation submodule (461), a manual intervention submodule (462) and a medication adjustment regimen execution submodule (463). The medication regimen generation submodule (461) uses the following formula: Among them, D0 is the initial dosage of the drug, D is the adjusted dosage of the drug, V0 is the initial dosage rate, V is the adjusted dosage rate, W0 is the standard weight, W is the patient weight, A is the patient age, S is the disease severity coefficient, k1, k2, k3, k4 are adjustment coefficients determined based on drug characteristics and clinical experience, and k6 is the adjustment coefficient determined by gender differences.

7. The remote vital signs monitoring and protection system based on Internet of Things technology according to claim 4 is characterized in that: The online learning module (47) includes a condition assessment algorithm optimization submodule (471) and a medication adjustment scheme generation algorithm optimization submodule (472).

8. A remote vital sign monitoring and assurance method based on Internet of Things technology, comprising step 1, data collection; step 2, data monitoring; step 3, condition assessment; step 4, medication regimen generation; step 5, medication regimen execution; step 6, medication feedback; characterized in that: In the above step 1, the remote vital signs monitoring and support system is deployed on the emergency vehicle, and a data connection is established between the transport monitoring cloud platform (4) and the data acquisition module (1), the medication module (2) and the remote terminal (3). The basic information and vital signs data of the patient are collected by the data acquisition module (1), and uploaded to the data storage module (43) in the transport monitoring cloud platform (4) for storage, and visualized by the data visualization module (42); In the above step 2, the data monitoring module (41) of the transport monitoring cloud platform (4) monitors whether the vital sign data collected in step 1 exceeds the threshold value, and monitors whether the duration of exceeding the threshold value reaches a set time. If the threshold value is exceeded and the duration of exceeding the threshold value reaches a set time, step 3 is executed, otherwise, step 2 is returned to be executed; In the above step 3, the data analysis module (45) of the transport monitoring cloud platform (4) evaluates the severity of the disease, and the graded warning module (44) sends a warning reminder to the remote terminal (3) according to the evaluation result; In the above step 4, the control module (46) generates a medication regimen based on the evaluation results obtained in step 3 and the basic information of the patient collected in step 1; In the above step 5, the medication regimen obtained in step 4 is determined, adjusted and terminated through the remote terminal (3), and the manually determined and adjusted medication regimen is handed over to the medication adjustment regimen execution submodule (463) for execution. If the waiting time for manual intervention reaches the preset time, it is directly handed over to the medication adjustment regimen execution submodule (463) for execution. The medication adjustment regimen execution submodule (463) issues an instruction to the medication module (2), and the medication module (2) administers the medication to the patient; In the above step 6, when the time for the drug effect to be fully exerted is reached, the data monitoring module (41) is used to determine whether the vital sign data is stable within the threshold range, and the determination result is output as feedback for this medication.

9. The remote vital signs monitoring and protection method based on Internet of Things technology according to claim 8 is characterized in that: In step 1, the patient's basic information includes disease type, age, gender and weight, and vital signs data includes heart rate, blood pressure, blood oxygen saturation, body temperature and respiratory rate.

10. The remote vital signs monitoring and protection method based on Internet of Things technology according to claim 8 is characterized in that: In step three, the data analysis module (45) evaluates the severity of the disease as follows: the data analysis module (45) cleans the data through the data preprocessing submodule (451), processes missing values ​​and abnormal values, and then performs standardization processing, and then inputs the preprocessed data into the disease assessment submodule (452), and the disease assessment submodule (452) outputs the evaluation result.

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