Remote intelligent monitoring system and method for puerpera postpartum care

Abstract

The invention relates to a remote intelligent monitoring system and method for puerpera postpartum care. The system comprises a remote data acquisition module, a central processing server, a remote monitoring terminal and a computer provided with puerpera care monitoring software. The puerpera nursing monitoring software comprises a user interaction interface module, a data management module, a communication control module, a data receiving module and a health assessment module; the user interaction interface module is used for receiving nursing parameters input by a user and displaying a nursing result; the data management module is used for acquiring a management process of the nursing items according to the nursing parameters; the communication control module is used for sending a control instruction to hardware resources occupied by the nursing project according to the management process; the data receiving module is used for receiving nursing data output by a nursing object and sending the nursing data to the health assessment module in real time; the health assessment module is used for calculating a nursing result according to the nursing data and sending the nursing result to the user interaction interface module in real time. The nursing efficiency and quality can be improved, and the nursing risk is reduced.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of medical health, and in particular to a remote intelligent monitoring system and method for postpartum care of parturients. Background Art

[0002] In the field of medical health, especially in maternal and postpartum care, traditional care methods often rely on on-site observation and manual recording by medical staff. This method is not only inefficient, but also easily interfered by human factors, resulting in uneven care quality. With the development of science and technology, some remote monitoring systems have begun to be introduced into postpartum care, but most of these systems are single-function and lack real-time data processing and evaluation capabilities, and cannot meet the diverse care needs of mothers and newborns. In addition, when processing a large amount of nursing data, existing technologies often require manual data collation and analysis, which not only increases the workload of medical staff, but also makes it difficult to ensure the accuracy and real-time nature of the data.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing remote monitoring system is unable to achieve comprehensive monitoring of the physiological parameters, psychological state and environmental factors of mothers and newborns, lacks effective data management and communication control mechanisms, resulting in the accuracy and timeliness of nursing decisions being affected; at the same time, the existing system lacks intelligence and automation in data processing and evaluation, and is unable to provide personalized and accurate nursing recommendations, limiting the quality and efficiency of postpartum care services. Summary of the invention

[0004] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0005] The purpose of the embodiments of the present invention is to provide a remote intelligent monitoring system and method for postpartum care of parturients, which improves the efficiency and quality of care through a series of innovative training methods and technical strategies, while reducing care risks, providing safer and more convenient care services for parturients and newborns.

[0006] The invention provides a remote intelligent monitoring system and method for postpartum care of parturients.

[0007] In a first aspect of the present invention, a remote intelligent monitoring system for postpartum care of a parturient is provided, comprising:

[0008] The invention discloses a remote intelligent monitoring system for maternal and child care, characterized in that it includes: a remote data acquisition module, a central processing server, a remote monitoring terminal and a computer deployed with maternal and child care monitoring software; the maternal and child care monitoring software includes a user interaction interface module, a data management module, a communication control module, a data receiving module and a health assessment module; wherein the user interaction interface module is used to receive nursing parameters input by the user and display nursing results; the data management module is used to obtain the management process of the nursing project according to the nursing parameters; the communication control module is used to send control instructions to the hardware resources occupied by the nursing project according to the management process; the data receiving module is used to receive the nursing data output by the nursing object and send it to the health assessment module in real time; the health assessment module is used to calculate the nursing results according to the nursing data and send them to the user interaction interface module in real time.

[0009] Furthermore, the maternal care monitoring software is developed using a real-time operating system and also includes a multi-task processing module for starting multiple tasks, one of which schedules a communication control module and a data receiving module, and another task schedules a health assessment module.

[0010] Furthermore, the user interaction interface module is used to receive nursing parameters, including: one or more nursing objects, one or more nursing items and / or parameters to be set; the nursing objects include: parturient women, newborns and nursing equipment.

[0011] Furthermore, the data management module is used to obtain the management process of nursing projects based on nursing parameters, including: identifying whether there are multiple nursing projects in the nursing parameters; if there are multiple nursing projects, identifying whether multiple nursing projects can be carried out simultaneously based on the nursing objects corresponding to the nursing projects; if they cannot be carried out simultaneously, sorting the nursing projects from high to low according to the preset nursing project priorities; and obtaining and splicing the management process of each nursing project based on the hardware resources occupied by the nursing projects.

[0012] Furthermore, the data receiving module also includes a data preprocessing submodule, which is used to upload a data format file corresponding to the communication protocol; after receiving the nursing data output by the nursing object, the data receiving module converts the nursing data according to the data format file corresponding to the communication protocol, obtains the preprocessed nursing data, and then sends it to the health assessment module in real time.

[0013] Furthermore, the health assessment module is used to calculate the nursing results according to the nursing data, including:

[0014] When the nursing objects are parturients and newborns, a health assessment model is constructed based on physiological parameters, psychological states and environmental factors. Based on the health assessment model, the assessment parameters are used as the quantities to be estimated and the nursing data are used as the quantity to be measured to construct a measurement equation. Based on the nursing data obtained in real time, the measurement equation is fitted and solved to obtain the quantities to be estimated as the nursing results.

[0015] When the nursing object is a nursing device, the obtained nursing data is judged against the preset threshold according to the management process of the nursing project to obtain a judgment result of whether the nursing is normal or abnormal as the nursing result.

[0016] Furthermore, when the nursing objects are parturients and newborns, if the nursing items are physiological monitoring and psychological assessment, multiple error terms are set for each monitoring parameter, and the measurement equation is constructed by the following formula. The recursive least squares method is used to solve the measurement equation to obtain the estimated quantity at each moment.

[0017] Furthermore, when the nursing objects are parturient women and newborns, measurement equations are constructed based on statistical analysis methods, and statistical analysis charts are drawn according to the nursing data of the nursing objects. The statistical analysis charts are fitted by the least squares method, and the stable values ​​of key indicators are taken as the error values ​​of health assessment to obtain the nursing results.

[0018] Furthermore, the communication control module includes a wireless communication sub-module and a wired communication sub-module, wherein the wireless communication sub-module is used to establish a connection with the remote monitoring terminal through a wireless communication protocol and issue data request instructions; the wired communication sub-module is used to establish a connection with the central processing server through a wired communication protocol and issue data synchronization and processing instructions.

[0019] In a second aspect of the present invention, a remote intelligent monitoring method for postpartum care of a parturient is provided, comprising:

[0020] Receive nursing parameters and obtain the management process of nursing items based on the nursing parameters;

[0021] After nursing begins, multiple tasks are started. One of the tasks sends control instructions to the hardware resources occupied by the nursing project according to the management process, receives the nursing data output by the nursing object in real time, converts the nursing data according to the data format file corresponding to the communication protocol, and obtains the pre-processed nursing data; another task calculates and displays the nursing results based on the pre-processed nursing data.

[0022] The above-mentioned embodiments of the present disclosure have the following beneficial effects: The remote intelligent monitoring system for maternal and postpartum care of the present invention can realize real-time monitoring and evaluation of physiological parameters, psychological state and environmental factors of maternal and newborn babies through an integrated remote data acquisition module, a central processing server, a remote monitoring terminal and a computer deployed with special monitoring software. The system is developed using a real-time operating system and has multi-tasking capabilities. It can simultaneously handle tasks such as data reception, communication control and health assessment, thereby improving the efficiency and response speed of care. In addition, the system can intelligently schedule nursing tasks through preset nursing project priorities and hardware resource management processes to ensure the orderly progress of the nursing process.

[0023] The health assessment module of the system can accurately calculate the nursing results based on the nursing data obtained in real time and use the constructed health assessment model to provide accurate nursing decision support for medical staff. At the same time, the data management module of the system can intelligently identify and sort nursing items according to nursing parameters and optimize the nursing process. The data preprocessing submodule of the data receiving module ensures the accuracy and availability of the data and provides a reliable data basis for health assessment. Through the application of these technologies, the system of the present invention can improve the quality and safety of maternal postpartum care, reduce the workload of medical staff, and provide more personalized and accurate nursing services for maternal and newborn babies. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0025] Figure 1 A schematic diagram of the structure of a remote intelligent monitoring system for postpartum care of parturients provided by an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of a flow chart of a remote intelligent monitoring method for postpartum care of a parturient provided by an embodiment of the present invention;

[0027] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention.

[0028] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts. DETAILED DESCRIPTION

[0029] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.

[0030] Those skilled in the art will appreciate that the embodiments of the present invention may be implemented as a system, device, apparatus, method or computer program product. Therefore, the present disclosure may be implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0031] According to an embodiment of the present invention, a remote intelligent monitoring system and method for postpartum care of parturients are proposed.

[0032] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0033] The principle and spirit of the present invention are explained in detail below with reference to several representative embodiments of the present invention.

[0034] Reference below Figure 1 , Figure 1 This is a flow chart of a remote intelligent monitoring system for postpartum care of parturients provided by an embodiment of the present invention. Figure 1 As shown, a remote intelligent monitoring system 100 for postpartum care of a parturient includes:

[0035] A remote data acquisition module 101, a central processing server 102, a remote monitoring terminal 103 and a computer 104 deployed with maternal care monitoring software; the maternal care monitoring software includes a user interaction interface module, a data management module, a communication control module, a data receiving module and a health assessment module; wherein the user interaction interface module is used to receive nursing parameters input by the user and display nursing results; the data management module is used to obtain the management process of the nursing project according to the nursing parameters; the communication control module is used to send control instructions to the hardware resources occupied by the nursing project according to the management process; the data receiving module is used to receive the nursing data output by the nursing object and send it to the health assessment module in real time; the health assessment module is used to calculate the nursing results based on the nursing data and send them to the user interaction interface module in real time.

[0036] Specifically, the remote data acquisition module is responsible for collecting physiological parameters of mothers and newborns, such as body temperature, heart rate, blood pressure, etc., from various nursing devices. The central processing server is responsible for processing these data and analyzing them according to the preset algorithm. The remote monitoring terminal can be a tablet or smartphone used by medical staff, through which medical staff can view the nursing data and receive the health assessment results of the system in real time. The maternal care monitoring software includes a user interaction interface module, a data management module, a communication control module, a data receiving module, and a health assessment module. These modules work together to ensure the efficiency and accuracy of the nursing process.

[0037] Preferably, the user interaction interface module can provide a graphical operation interface so that medical staff can intuitively input nursing parameters and view nursing results. The data management module can automatically match the corresponding nursing items according to the nursing parameters and generate management processes. The communication control module can adopt advanced communication protocols to ensure the security and stability of data transmission. After receiving the nursing data, the data receiving module can perform necessary data cleaning and formatting to ensure the accuracy of the data. The health assessment module can use machine learning algorithms based on real-time data to provide more accurate health assessment results. In addition, the system can also choose to use wireless or wired communication methods according to actual needs to adapt to different nursing environments.

[0038] In some embodiments, the maternal care monitoring software is developed using a real-time operating system and also includes a multi-task processing module for starting multiple tasks, one of which schedules a communication control module and a data receiving module, and another task schedules a health assessment module.

[0039] Specifically, the real-time operating system allows the software to respond to external events within a predetermined time or shorter time. For the maternal and newborn care monitoring system, it can ensure real-time monitoring and rapid processing of the physiological parameters of the mother and the newborn. The multitasking module is an important part of the real-time operating system. It can start and manage multiple tasks at the same time, such as the scheduling of the communication control module and the data receiving module, and the independent operation of the health assessment module. These tasks can be scheduled according to priority and time sensitivity to ensure that key care activities are executed first.

[0040] Preferably, the real-time operating system can be configured with a high-priority task scheduling strategy to ensure that critical nursing monitoring tasks can be executed in a timely manner. For example, a high-priority task can be set to monitor the heart rate and blood pressure of a parturient, and changes in these parameters may require an immediate response. In addition, the system can be configured with a buffering mechanism to handle the data backlog problem of the data receiving module at high traffic. In the multi-tasking module, a priority inversion method can be used to prevent low-priority tasks from blocking the execution of high-priority tasks. In software design, a modular development method can be adopted so that each functional module can be updated and maintained independently without affecting the stability and real-time performance of the entire system.

[0041] In some embodiments, the user interaction interface module is used to receive nursing parameters, including: one or more nursing objects, one or more nursing items and / or parameters to be set; the nursing objects include: parturient women, newborns and nursing equipment.

[0042] Specifically, the user interaction interface module can be designed as an intuitive graphical user interface (GUI), allowing medical staff to select nursing objects, such as parturients, newborns, and nursing items, such as temperature monitoring and blood pressure monitoring. The parameters to be set may include monitoring frequency, alarm thresholds, etc., which can be personalized according to the specific circumstances of parturients and newborns. For example, for parturients with unstable blood pressure after delivery, a higher blood pressure monitoring frequency and a lower alarm threshold can be set.

[0043] Preferably, the user interaction interface module can provide templated nursing item settings so that medical staff can quickly select and configure commonly used nursing items. In addition, the system can provide an intelligent recommendation function to recommend appropriate nursing items and parameter settings based on the health status of the mother and the newborn. In terms of data input, in addition to traditional manual input, the system can also support multiple interactive methods such as voice input and touch screen operation to improve the convenience of operation. For nursing equipment, the system can provide a device compatibility check function to ensure that the selected equipment can seamlessly connect with the system to achieve effective data transmission and processing.

[0044] In some embodiments, the data management module is used to obtain the management process of nursing projects based on nursing parameters, including: identifying whether there are multiple nursing projects in the nursing parameters, and if there are multiple nursing projects, identifying whether multiple nursing projects can be carried out simultaneously based on the nursing objects corresponding to the nursing projects, and if they cannot be carried out simultaneously, sorting the nursing projects from high to low according to the preset nursing project priorities; and obtaining and splicing the management process of each nursing project based on the hardware resources occupied by the nursing projects.

[0045] Specifically, the data management module will first identify the input nursing parameters, which may include temperature monitoring of mothers, heart rate monitoring of newborns, etc. Then, it will check whether these nursing projects can be carried out at the same time, or whether there is a resource conflict. For example, if two projects need to use the same equipment, the module will decide which project goes first according to the preset priority rules. In addition, the data management module will also obtain and splice the management process of each nursing project based on the hardware resources occupied by the nursing project, such as monitors, blood pressure monitors, etc. This may involve the allocation, scheduling and optimization of resources.

[0046] Preferably, the data management module can use advanced algorithms to optimize the sorting and resource allocation of nursing items. For example, a genetic algorithm or a simulated annealing algorithm can be used to find the best resource allocation solution. In addition, the module can be designed to have self-learning capabilities and continuously optimize its decision-making process by analyzing historical data. In practical applications, it is also possible to consider introducing artificial intelligence technologies, such as machine learning, to further improve the intelligent scheduling capabilities of the module. In order to improve the flexibility and adaptability of the system, the data management module can also be designed to support user-defined nursing processes, allowing medical staff to adjust the priority and resource allocation strategies of nursing items according to specific circumstances.

[0047] In some embodiments, the data receiving module also includes a data preprocessing submodule, which is used to upload a data format file corresponding to the communication protocol; after receiving the nursing data output by the nursing object, the data receiving module converts the nursing data according to the data format file corresponding to the communication protocol, obtains the preprocessed nursing data, and then sends it to the health assessment module in real time.

[0048] Specifically, the data preprocessing submodule will format and convert the received data according to the requirements of the communication protocol. For example, if the data format output by the nursing device is inconsistent with the data format used within the system, the preprocessing submodule will convert the data into a format that the system can recognize and process. In addition, the preprocessing submodule may also involve data cleaning, such as removing outliers, filling missing values, etc., to improve the quality of the data. In terms of parameter setting, the preprocessing submodule may need to configure parameters such as data conversion rules and data cleaning strategies, which can be adjusted according to actual nursing needs and device characteristics.

[0049] Preferably, the data preprocessing submodule can be designed to be highly flexible and configurable to adapt to different types of nursing equipment and data formats. For example, a user interface can be provided to allow medical staff to configure data conversion rules and cleaning strategies as needed. In addition, in order to improve the efficiency of data processing, the preprocessing submodule can adopt parallel processing technology to process multiple data streams at the same time. In some cases, it is also possible to consider introducing machine learning algorithms to automatically identify and process abnormal data to further improve the accuracy and reliability of the data. In order to ensure the security of the data, the preprocessing submodule can also integrate data encryption and decryption functions to ensure the security of sensitive data during transmission and storage.

[0050] In some embodiments, the health assessment module is used to calculate the nursing results based on the nursing data, including:

[0051] When the nursing objects are parturients and newborns, a health assessment model is constructed based on physiological parameters, psychological states and environmental factors. Based on the health assessment model, the assessment parameters are used as the quantities to be estimated and the nursing data are used as the quantity to be measured to construct a measurement equation. Based on the nursing data obtained in real time, the measurement equation is fitted and solved to obtain the quantities to be estimated as the nursing results.

[0052] When the nursing object is a nursing device, the obtained nursing data is judged against the preset threshold according to the management process of the nursing project to obtain a judgment result of whether the nursing is normal or abnormal as the nursing result.

[0053] Specifically, the health assessment module will build a comprehensive health assessment model based on real-time nursing data, such as maternal heart rate, blood pressure, body temperature and other physiological parameters, as well as newborns' respiratory rate, blood oxygen saturation and other data. This model may include multiple sub-models, targeting different physiological systems and psychological states. The measurement equation is the core of this model. It takes the evaluation parameters as the quantities to be estimated and the nursing data as the quantities to be measured to construct a mathematical equation for calculation. For example, for maternal heart rate monitoring, the measurement equation may consider the baseline value, change trend and abnormal fluctuations of the heart rate.

[0054] Preferably, the health assessment module can use the following measurement equation to calculate the amount to be estimated at each moment:

[0055] x k+1 =Fx k +Bu k +w k

[0056] z k =Hx k +v k

[0057] Where: x k represents the state vector, which contains all state variables at time k, such as heart rate, blood pressure, etc. F is the state transfer matrix, which describes the evolution of the state vector over time. k is the control input vector, which may include medical interventions. B is the control input matrix, which relates control inputs to state transitions. k is process noise, reflecting internal or external disturbances that cannot be predicted by the model. k is the observation vector, which contains the data observed at time k, such as physiological parameters obtained from monitoring equipment. H is the observation matrix, which maps the state vector to the observation space. k is the observation noise, which reflects the error in the measurement process.

[0058] Furthermore, the health assessment model can be expressed by the following formula:

[0059] H=f(P,S,E)

[0060] Among them: H represents the health assessment result, which is a comprehensive indicator used to reflect the health status of the mother or newborn. P represents physiological parameters, which may include heart rate, blood pressure, body temperature, respiratory rate, etc. S represents psychological state, which may be obtained through questionnaires, behavioral observations, etc., including stress level, emotional state, etc. E represents environmental factors, which may include indoor temperature, humidity, noise level, etc.

[0061] Preferably, the health assessment model can be further refined as follows:

[0062] H=w1·P+w2·S+w3·E

[0063] Among them, w1, w2, and w3 are weight coefficients, which are adjusted according to the importance of each factor on health impact. These weights can be determined by expert experience, historical data analysis, or machine learning algorithms.

[0064] More specifically, the model implementation steps include:

[0065] 1. Data collection: Real-time collection of physiological parameters P, psychological state S, and environmental factors E of mothers and newborns.

[0066] 2. Parameter processing: preprocess the collected data, including data cleaning, normalization, etc.

[0067] 3. Weight determination: Determine the weights w1, w2, w3 of each parameter based on expert opinions or data analysis results.

[0068] 4. Model calculation: Substitute the processed data and weights into the above formula to calculate the health assessment result H.

[0069] 5. Result analysis: Analyze the calculated results to determine the health status of the mother and newborn, and take appropriate nursing measures as needed.

[0070] In practical applications, the health assessment module can use recursive least squares or other optimization algorithms to solve these measurement equations, thereby obtaining the estimated quantity at each moment as the nursing result. In addition, the module can also combine statistical analysis methods as needed, by drawing statistical analysis charts and performing least squares fitting to extract the stable value of key indicators as the error value of health assessment, further enhancing the accuracy and reliability of the assessment.

[0071] In some embodiments, when the care objects are parturients and newborns, if the care items are physiological monitoring and psychological assessment, multiple error terms are set for each monitoring parameter, and the measurement equation is constructed by the following formula. The recursive least squares method is used to solve the measurement equation to obtain the estimated quantity at each moment.

[0072] It should be noted that when the care objects are pregnant women and newborns, if the care items include physiological monitoring and psychological assessment, the system will use recursive least squares to construct and solve the measurement equation. This method allows the system to update the estimated value at each time point to reflect the latest data, thereby providing continuous and dynamic health assessment.

[0073] Specifically, recursive least squares is a state estimation method for dynamic systems, which estimates the state of the system by minimizing the sum of squares of prediction errors. In this system, the state vector may include various physiological parameters of the mother and the newborn, such as heart rate, blood pressure, body temperature, etc. The state transition matrix describes the change of these parameters over time. The control input matrix and control vector may be related to medical interventions, such as drug use or physical therapy. Process noise and observation noise represent the uncertainty within the model and in the measurement process, respectively.

[0074] Preferably, the system can use the following recursive least squares formula to update the state estimate:

[0075]

[0076] in: is the state estimate at time k+1 based on the information at time k. k is the state transition matrix. k is the control input matrix. k is the control input vector. k+1|k is the predicted covariance matrix. Q k is the process noise covariance matrix. K k is the Kalman gain, used to update the state estimate. k+1 is the data observed at time k+1. k is the observation matrix. k is the observation noise covariance matrix. is the updated state estimate. k+1 is the updated covariance matrix.

[0077] More specifically, the system can adjust parameters such as the state transfer matrix, control input matrix, and observation matrix according to actual nursing needs and equipment characteristics. In addition, the system can also be designed to support a variety of different physiological monitoring parameters and psychological assessment indicators to adapt to the health conditions of different mothers and newborns. In practical applications, the system can also use adaptive filtering technology to automatically adjust the Kalman gain to improve the accuracy of state estimation.

[0078] In some embodiments, when the care objects are parturient women and newborns, measurement equations are constructed based on statistical analysis methods, and statistical analysis charts are drawn according to the care data of the care objects. The statistical analysis charts are fitted by the least squares method, and the stable values ​​of key indicators are taken as error values ​​for health assessment to obtain care results.

[0079] It should be noted that when the care objects are pregnant women and newborns, the system will construct measurement equations based on statistical analysis methods and evaluate health status by drawing statistical analysis charts. This method allows the system to extract key indicators from historical data and fit these data through the least squares method to determine the error value of health assessment.

[0080] Specifically, statistical analysis methods involve collecting and analyzing a large amount of nursing data, such as maternal temperature and blood pressure records, newborn heart rate and respiratory rate, etc. By drawing time series graphs, histograms or scatter plots of these data, the system can observe the distribution and trend of the data. The stable values ​​of key indicators refer to the statistical consistency and stability of these indicators over a certain period of time, which can be used as a benchmark for evaluating the health status of mothers and newborns.

[0081] Preferably, the system can adopt the following steps to refine the operation:

[0082] 1. Data collection: Continuously collect physiological parameter data of mothers and newborns.

[0083] 2. Data preprocessing: Clean the collected data and remove outliers and missing values.

[0084] 3. Statistical analysis: Use statistical software or algorithms, such as mean, standard deviation, correlation analysis, etc., to analyze the data.

[0085] 4. Chart drawing: Based on the analysis results, draw statistical charts, such as time series graphs, histograms or scatter plots.

[0086] 5. Least squares fitting: Perform least squares fitting on the key indicators in the chart to determine their stable values.

[0087] 6. Error value determination: Compare the fitting results with the actual observed values ​​to determine the error value of the health assessment.

[0088] More specifically, the system can be designed to support a variety of statistical analysis methods and chart types to meet different data analysis needs. For example, for heart rate data, time series analysis can be used to observe its changing trend within a day; for blood pressure data, a histogram can be used to observe its distribution. In addition, the system can also provide a user interface that allows medical staff to select different statistical analysis methods and chart types as needed. In practical applications, the system can also integrate machine learning algorithms, such as cluster analysis or pattern recognition, to automatically identify abnormal patterns in the data, further improving the accuracy and reliability of health assessments.

[0089] In some embodiments, the communication control module includes a wireless communication sub-module and a wired communication sub-module, wherein the wireless communication sub-module is used to establish a connection with the remote monitoring terminal through a wireless communication protocol and issue data request instructions; the wired communication sub-module is used to establish a connection with the central processing server through a wired communication protocol and issue data synchronization and processing instructions.

[0090] It should be noted that the communication control module is an important part of the system. It establishes a connection with the remote monitoring terminal and the central processing server through wireless and wired communication submodules. This module is responsible for issuing data request instructions and data synchronization and processing instructions to ensure real-time transmission and processing of data.

[0091] Specifically, the wireless communication submodule may use wireless communication protocols such as Wi-Fi, Bluetooth or cellular networks to achieve connection with the remote monitoring terminal. The wired communication submodule may use wired communication protocols such as Ethernet or USB to achieve connection with the central processing server. These communication submodules need to be configured with corresponding communication parameters, such as communication frequency, data transmission rate, encryption method, etc., to ensure the stability and security of data transmission.

[0092] Preferably, the communication control module can be designed to support multiple communication protocols and interfaces to adapt to different communication environments and devices. For example, the wireless communication submodule can support multiple wireless communication standards to ensure compatibility with various remote monitoring terminals. The wired communication submodule can provide multiple interface options to adapt to different central processing server configurations. In addition, the communication control module can also integrate a communication quality monitoring function to monitor the communication status and data transmission quality in real time to ensure accurate data transmission.

[0093] More specifically, the communication control module can use the following steps to refine the operation:

[0094] 1. Communication protocol selection: Select appropriate wireless and wired communication protocols according to the configuration of the remote monitoring terminal and central processing server.

[0095] 2. Parameter configuration: Configure necessary parameters for the selected communication protocol, such as communication frequency, data transmission rate, encryption key, etc.

[0096] 3. Connection establishment: Establish a connection with the remote monitoring terminal through the wireless communication submodule, and establish a connection with the central processing server through the wired communication submodule.

[0097] 4. Data request issuance: The wireless communication submodule issues data request instructions to the remote monitoring terminal, requesting real-time nursing data.

[0098] 5. Data synchronization and processing instruction issuance: The wired communication submodule issues data synchronization and processing instructions to the central processing server to ensure timely data processing.

[0099] 6. Communication quality monitoring: Real-time monitoring of communication status and data transmission quality. If communication abnormalities are found, the connection will be automatically re-established or communication parameters will be adjusted.

[0100] In practical applications, the communication control module can also be designed to support dynamic communication protocol switching to adapt to the ever-changing communication environment. In addition, the module can also integrate fault diagnosis and recovery mechanisms to improve the stability and reliability of the system.

[0101] The above-mentioned embodiments of the present invention have the following beneficial effects: the remote intelligent monitoring system for maternal postpartum care of the present invention can provide users with a comprehensive and efficient nursing monitoring solution. The system can realize real-time monitoring of maternal and newborn nursing status through a remote data acquisition module, a central processing server, a remote monitoring terminal and a computer deployed with maternal nursing monitoring software. The user interaction interface module allows the user to input nursing parameters and display nursing results, while the data management module obtains the corresponding nursing project management process based on these parameters. The communication control module is responsible for sending control instructions to manage hardware resources, the data receiving module is responsible for receiving and preprocessing nursing data, and finally the health assessment module calculates the nursing results and feeds back to the user in real time. This integrated system design can improve the accuracy and efficiency of nursing work while reducing the workload of medical staff.

[0102] Furthermore, the system can enhance the stability and response speed of the system through the introduction of real-time operating system and multi-tasking processing module. The diversified input function of the user interface module and the intelligent project identification and sorting of the data management module make the nursing process more flexible and personalized. The data preprocessing function of the data receiving module can ensure the accuracy of the data, while the precise calculation of the health assessment module can provide strong support for nursing decisions. In addition, the wireless and wired communication submodules of the communication control module provide flexible communication methods to adapt to different usage environments and needs. The application of these technologies can not only improve the quality of nursing, but also provide a safer and more comfortable nursing experience for mothers and newborns.

[0103] like Figure 2 As shown, in some embodiments, a remote intelligent monitoring method 200 for postpartum care of a parturient woman comprises:

[0104] Step 201, receiving nursing parameters, and obtaining a management process of a nursing project according to the nursing parameters;

[0105] Step 202, after the nursing begins, multiple tasks are started. One of the tasks sends control instructions to the hardware resources occupied by the nursing project according to the management process, receives the nursing data output by the nursing object in real time, converts the nursing data according to the data format file corresponding to the communication protocol, and obtains the pre-processed nursing data; another task calculates and displays the nursing results based on the pre-processed nursing data.

[0106] It is understandable that the modules recorded in the remote intelligent monitoring method 200 for postpartum care of parturients are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the remote intelligent monitoring system for postpartum care for parturients are also applicable to the remote intelligent monitoring method 200 for postpartum care for parturients and the modules contained therein, and will not be repeated here.

[0107] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0108] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0109] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0110] The storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0111] It should be noted that in some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, device or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0112] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0113] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with digital data communications (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks ("LAN"), wide area networks ("WAN"), internets (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future developed networks. Computer program codes for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code may be executed entirely on a user's computer, partially on a user's computer, as a separate software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0114] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0115] The units described in some embodiments of the present disclosure may be implemented in software or in hardware. The units described may also be provided in a processor, and the functions described above herein may be performed at least in part by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0116] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A remote intelligent monitoring system for postpartum care of parturients, characterized in that: include: A remote data acquisition module, a central processing server, a remote monitoring terminal and a computer deployed with maternal care monitoring software; the maternal care monitoring software includes a user interaction interface module, a data management module, a communication control module, a data receiving module and a health assessment module; wherein the user interaction interface module is used to receive nursing parameters input by the user and display nursing results; the data management module is used to obtain the management process of the nursing project according to the nursing parameters; the communication control module is used to send control instructions to the hardware resources occupied by the nursing project according to the management process; the data receiving module is used to receive the nursing data output by the nursing object and send it to the health assessment module in real time; the health assessment module is used to calculate the nursing results based on the nursing data and send them to the user interaction interface module in real time.

2. The remote intelligent monitoring system for postpartum care of parturients according to claim 1 is characterized in that: The maternal care monitoring software is developed using a real-time operating system and also includes a multi-task processing module for starting multiple tasks, one of which schedules a communication control module and a data receiving module, and another task schedules a health assessment module.

3. The remote intelligent monitoring system for postpartum care of parturient women according to claim 1, characterized in that: The user interaction interface module is used to receive nursing parameters, including: one or more nursing objects, one or more nursing items and / or parameters to be set; the nursing objects include: parturient women, newborns and nursing equipment.

4. The remote intelligent monitoring system for postpartum care of parturient women according to claim 3, characterized in that: The data management module is used to obtain the management process of nursing items based on nursing parameters, including: identifying whether there are multiple nursing items in the nursing parameters; if there are multiple nursing items, identifying whether the multiple nursing items can be carried out simultaneously based on the nursing objects corresponding to the nursing items; if they cannot be carried out simultaneously, sorting the nursing items from high to low according to the preset nursing project priorities; and obtaining and splicing the management process of each nursing item based on the hardware resources occupied by the nursing items.

5. The remote intelligent monitoring system for postpartum care of parturient women according to claim 1, characterized in that: The data receiving module also includes a data preprocessing submodule, which is used to upload a data format file corresponding to the communication protocol; after receiving the nursing data output by the nursing object, the data receiving module converts the nursing data according to the data format file corresponding to the communication protocol, obtains the preprocessed nursing data, and then sends it to the health assessment module in real time.

6. The remote intelligent monitoring system for postpartum care of parturient women according to claim 3, characterized in that: The health assessment module is used to calculate the nursing results based on the nursing data, including: When the nursing objects are parturients and newborns, a health assessment model is constructed based on physiological parameters, psychological states and environmental factors. Based on the health assessment model, the assessment parameters are used as the quantities to be estimated and the nursing data are used as the quantity to be measured to construct a measurement equation. Based on the nursing data obtained in real time, the measurement equation is fitted and solved to obtain the quantities to be estimated as the nursing results. When the nursing object is a nursing device, the obtained nursing data is judged against the preset threshold according to the management process of the nursing project to obtain a judgment result of whether the nursing is normal or abnormal as the nursing result.

7. The remote intelligent monitoring system for postpartum care of parturient women according to claim 6, characterized in that: When the nursing objects are parturients and newborns, if the nursing items are physiological monitoring and psychological assessment, multiple error terms are set for each monitoring parameter, and the measurement equation is constructed by the following formula. The recursive least squares method is used to solve the measurement equation to obtain the estimated quantity at each moment.

8. The remote intelligent monitoring system for postpartum care of parturient women according to claim 6, characterized in that: When the nursing objects are parturient women and newborns, measurement equations are constructed based on statistical analysis methods. Statistical analysis charts are drawn according to the nursing data of the nursing objects. The statistical analysis charts are fitted by the least squares method, and the stable values ​​of key indicators are taken as the error values ​​of health assessment to obtain the nursing results.

9. The remote intelligent monitoring system for postpartum care of parturients according to claim 1, characterized in that: The communication control module includes a wireless communication submodule and a wired communication submodule, wherein the wireless communication submodule is used to establish a connection with the remote monitoring terminal through a wireless communication protocol and issue data request instructions; the wired communication submodule is used to establish a connection with the central processing server through a wired communication protocol and issue data synchronization and processing instructions.

10. A remote intelligent monitoring method for postpartum care of parturients, the method being implemented based on the system of claim 1, characterized in that: The following steps are involved: Receive nursing parameters and obtain the management process of nursing items based on the nursing parameters; After nursing begins, multiple tasks are started. One of the tasks sends control instructions to the hardware resources occupied by the nursing project according to the management process, receives the nursing data output by the nursing object in real time, converts the nursing data according to the data format file corresponding to the communication protocol, and obtains the pre-processed nursing data. Another task is to calculate and display nursing outcomes based on the preprocessed nursing data.

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