Digital medical health monitoring system and method based on network service integration

Abstract

The invention discloses a digital medical health monitoring system and method based on network service integration, and the system comprises a central feedback module, an application program module, and an intelligent monitoring module. According to the scheme, the health monitoring data of the target object is collected through the intelligent monitoring module, health assessment processing is performed on the health monitoring data to obtain the health assessment result, the health assessment result is uploaded to the application program module, and the health assessment result is displayed through the application program module. And planning and adjusting the target object according to the health assessment result to obtain a health plan, so that the corresponding health plan can be formulated for the health state of the target object. And the health assessment result is fed back to the medical system through the central feedback module, so that the health condition of the target object can be fed back in real time. The embodiment of the invention can improve the processing efficiency of the monitoring system, and can be widely applied to the technical field of computers.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a digital medical and health monitoring system and method based on integrated network services. Background Technology

[0002] In related technologies, health monitoring systems require manual input of various health data monitored daily. This is not only cumbersome, but also extremely difficult for those unfamiliar with the system. Therefore, the technical problems in these related technologies need to be addressed. Summary of the Invention

[0003] The main objective of this application is to propose a digital medical and health monitoring system and method based on integrated network services, which can automatically upload monitoring data for processing and improve system efficiency.

[0004] To achieve the above objectives, one aspect of this application proposes a digital medical and health monitoring system based on integrated network services. The system includes a central feedback module, an application module, and an intelligent monitoring module. The central feedback module and the application module are connected via a network, and the application module and the intelligent monitoring module are connected via a network.

[0005] The intelligent monitoring module is used to collect health monitoring data of the target object, perform health assessment processing on the health monitoring data to obtain health assessment results, and upload the health assessment results to the application module;

[0006] The application module is used to display the health assessment results and, based on the health assessment results, formulate and adjust plans for the target object to obtain a health plan.

[0007] The central feedback module is used to feed the health assessment results back to the medical system.

[0008] In some embodiments, the intelligent monitoring module includes a voice broadcasting unit and a health assessment unit;

[0009] The voice broadcasting unit is used to recognize and broadcast the health plan using a text recognition model.

[0010] The health assessment unit is used to process the health monitoring data to assess the health status and obtain the health assessment results.

[0011] In some embodiments, the voice broadcasting unit is configured to recognize and broadcast the health plan using a text recognition model, including:

[0012] By constructing and processing the deep neural network model, a text recognition model is obtained;

[0013] The health plan is converted into text using the text recognition model to obtain a high-dimensional feature vector.

[0014] The high-dimensional feature vector is processed for text recognition and then converted into speech for broadcast.

[0015] In some embodiments, the application module further includes a data transmission unit;

[0016] The data transmission unit is used to establish a session with the central feedback module via a network connection;

[0017] The health monitoring data is transmitted in parallel according to the session, and data interaction is performed through pop-up windows.

[0018] To achieve the above objectives, another aspect of this application proposes a digital medical and health monitoring method based on integrated network services, applied to the aforementioned digital medical and health monitoring system based on integrated network services. The method includes:

[0019] Login is processed for the application module, and a connection is established between the application module and the intelligent monitoring module;

[0020] The intelligent monitoring module collects and processes data from the target object to obtain health monitoring data.

[0021] The intelligent monitoring module performs health assessment processing on the health monitoring data to obtain health assessment results, and then uploads the health assessment results to the application module.

[0022] The application module displays the health assessment results and, based on these results, formulates and adjusts plans for the target individuals to obtain a health plan.

[0023] The health monitoring data is uploaded to the central feedback module through the application module, and then viewed, analyzed, and processed by the central feedback module.

[0024] In some embodiments, the health monitoring data includes heart rate monitoring data, blood pressure monitoring data, and sleep monitoring data. The step of obtaining health monitoring data by collecting and processing data from the target object through the intelligent monitoring module includes:

[0025] The heart rate monitoring data is obtained by performing photoelectric transmission measurement on the target object.

[0026] The target object is subjected to pulse analysis to obtain the blood pressure monitoring data;

[0027] The sleep status of the target object is monitored and processed to obtain the sleep monitoring data.

[0028] In some embodiments, the step of performing photoelectric transmission measurement processing on the target object to obtain the heart rate monitoring data includes:

[0029] The skin of the target object is subjected to photosensitive irradiation treatment using a generator;

[0030] The heart rate monitoring data is obtained by receiving the returned photosensor through a receiver and measuring the intensity of the photosensor.

[0031] In some embodiments, the step of performing pulse analysis on the target object to obtain the blood pressure monitoring data includes:

[0032] Acquire the pulse wave data of the target object;

[0033] The pulse wave data is processed by amplitude and time analysis to obtain the blood pressure monitoring data.

[0034] In some embodiments, the sleep monitoring process performed on the target object to obtain the sleep monitoring data includes:

[0035] The sleep time of the target object is monitored and processed by the built-in accelerometer to obtain the sleep time;

[0036] The sleep time was processed to assess sleep quality, resulting in sleep monitoring data.

[0037] In some embodiments, the step of performing health assessment processing on the health monitoring data through the intelligent monitoring module to obtain a health assessment result includes:

[0038] The health monitoring data were processed according to the standard deviation calculation formula to obtain the calculation results;

[0039] The calculation results are evaluated to obtain health assessment results.

[0040] To achieve the above objectives, another aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described above.

[0041] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods described above.

[0042] The embodiments of this application include at least the following beneficial effects: This application provides a digital medical and health monitoring system and method based on integrated network services. This solution collects health monitoring data of target objects through an intelligent monitoring module, processes the health monitoring data to obtain health assessment results, and uploads the health assessment results to an application module. This enables real-time health monitoring of target objects and intelligent health assessment based on the detection results, improving the system's processing efficiency. Furthermore, this solution also displays the health assessment results through the application module and formulates and adjusts plans for target objects based on the health assessment results to obtain health plans, enabling the development of corresponding health plans for the health status of target objects. Moreover, this solution also feeds back the health assessment results to the medical system through a central feedback module, enabling real-time feedback on the health status of target objects. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the structure of a digital medical and health monitoring system based on integrated network services provided in an embodiment of this application;

[0044] Figure 2 This is a flowchart illustrating a digital medical and health monitoring method based on integrated network services, as provided in an embodiment of this application.

[0045] Figure 3 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0047] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”

[0048] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0050] A health monitoring system is a system that utilizes advanced technologies and big data to comprehensively, accurately, and in real-time monitor and analyze human health status, and to provide effective prevention and treatment plans. This system can collect relevant physiological data such as heart rate, blood pressure, and blood sugar, as well as other health-related data such as exercise volume and sleep quality, through various sensors and monitoring devices.

[0051] In most related technologies, the main drawback of health monitoring systems is that people need to manually input various health data they monitor in their daily lives into the system. This is not only cumbersome, but also very difficult for people who are not proficient in operating smartphones to manually input the monitored health data into the system.

[0052] In view of this, this application provides a digital medical and health monitoring system and method based on integrated network services. This solution collects health monitoring data of the target object through an intelligent monitoring module, processes the health monitoring data to obtain health assessment results, and uploads the health assessment results to an application module. This enables real-time health monitoring of the target object and intelligent health assessment based on the detection results, improving the system's processing efficiency. Furthermore, this solution also displays the health assessment results through the application module and formulates and adjusts plans for the target object based on the health assessment results to obtain a health plan, enabling the creation of corresponding health plans tailored to the target object's health status. Moreover, this solution also feeds the health assessment results back to the medical system through a central feedback module, enabling real-time feedback on the target object's health status.

[0053] This application provides a digital medical and health monitoring method based on integrated network services, relating to the field of computer technology. This method is applied to a digital medical and health monitoring system based on integrated network services and can be used in a terminal, server, or software installed on the terminal. The digital medical and health monitoring system includes a central feedback module, an application module, and an intelligent monitoring module. In some embodiments, the central feedback module is applied to a server or terminal, the application module is applied to the terminal, and the intelligent monitoring module is applied to the terminal. The terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or in-vehicle terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster consisting of multiple physical servers, or a distributed system. It can also be configured as a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application implementing the digital medical and health monitoring method based on integrated network services, but is not limited to the above forms.

[0054] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0055] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data required for the proper functioning of these embodiments acquired.

[0056] Figure 1 This application provides a digital medical and health monitoring system based on integrated network services. The system includes a central feedback module, an application module, and an intelligent monitoring module. The central feedback module and the application module are connected via a network, and the application module and the intelligent monitoring module are connected via a network.

[0057] The intelligent monitoring module is used to collect health monitoring data of the target object, perform health assessment processing on the health monitoring data to obtain health assessment results, and upload the health assessment results to the application module;

[0058] The application module is used to display the health assessment results and, based on the health assessment results, formulate and adjust plans for the target object to obtain a health plan.

[0059] The central feedback module is used to feed the health assessment results back to the medical system.

[0060] In this embodiment of the invention, a network-service integrated digital medical and health monitoring system includes a central feedback module, an application module, and an intelligent monitoring module. This network-service integrated digital medical and health monitoring system is applied in the field of computer technology and is typically used for health monitoring of the elderly or children. It enables real-time health monitoring of the target subject and automatically uploads monitoring data to the system for feedback. This allows caregivers, such as medical personnel, guardians, or family members, to obtain real-time health information about the target subject. The central feedback module and application module are connected via a network, as are the application module and intelligent monitoring module. This network can be a wireless network or a mobile communication network. The intelligent monitoring module collects health monitoring data from the target subject, performs health assessment processing on the data to obtain health assessment results, and uploads these results to the application module. The health monitoring data includes physiological data related to the human body, such as heart rate, blood pressure, and blood sugar, as well as other health-related data, such as exercise volume and sleep quality. The intelligent monitoring module can be a monitoring device such as a smart bracelet or a smart monitoring meter. The smart monitoring meter includes a voice broadcast module and a health assessment module, capable of assessing health monitoring data and uploading the results to the application module. The application module displays the health assessment results and, based on these results, formulates and adjusts plans for the target individual to obtain a health plan. This application module is used on a terminal, which can be a smartphone, tablet, laptop, or desktop computer. In this embodiment, a smartphone is used as the terminal, and the application module is an application on that smartphone. This application displays the health assessment results uploaded by the intelligent monitoring device, which can be presented in the form of charts, etc., and formulates and adjusts plans for the target individual based on the health assessment results to obtain a health plan. The central feedback module feeds the health assessment results back to the medical system, a system dedicated to medical personnel. This system allows the application module to provide real-time feedback on the target individual's health status to medical personnel.

[0061] In some embodiments, the intelligent monitoring module includes a voice broadcasting unit and a health assessment unit;

[0062] The voice broadcasting unit is used to recognize and broadcast the health plan using a text recognition model.

[0063] The health assessment unit is used to process the health monitoring data to assess the health status and obtain the health assessment results.

[0064] In this embodiment, the intelligent monitoring module includes a voice broadcasting unit and a health assessment unit. The intelligent monitoring module can acquire health data of the target object and, through the health assessment unit, perform health status assessment on the acquired health monitoring data to obtain a health assessment result. Additionally, the intelligent monitoring module can also recognize and broadcast health plans created by the application module via the voice broadcasting unit. The voice broadcasting module broadcasts the corresponding planned activities within a specified time. The text recognition model is a deep neural network model, used to recognize and broadcast the created text-based health plans through deep learning.

[0065] In some embodiments, the voice broadcasting unit is configured to recognize and broadcast the health plan using a text recognition model, including:

[0066] By constructing and processing the deep neural network model, a text recognition model is obtained;

[0067] The health plan is converted into text using the text recognition model to obtain a high-dimensional feature vector.

[0068] The high-dimensional feature vector is processed for text recognition and then converted into speech for broadcast.

[0069] In this embodiment, the voice broadcasting unit uses a text recognition model to recognize and broadcast the health plan. Specifically, a deep neural network model is constructed to obtain the text recognition model. This deep neural network model contains multiple hidden layers and combines low-level features to form more abstract high-level representations of attribute categories or features, thereby discovering distributed feature representations of the data. This deep neural network has a deep structure, which can contain hundreds or more layers, and each neuron has a weight used to convert the input signal into an output signal. The text recognition model is obtained by training this deep neural network model. The text is then converted into high-dimensional feature vectors using this model, and these feature vectors are used for text recognition, which is then converted into speech for broadcast.

[0070] In some embodiments, the application module further includes a data transmission unit;

[0071] The data transmission unit is used to establish a session with the central feedback module via a network connection;

[0072] The health monitoring data is transmitted in parallel according to the session, and data interaction is performed through pop-up windows.

[0073] In this embodiment, the application module includes a data transmission unit. The data transmission unit establishes a session with the central feedback module via a network connection. Through this session, health monitoring data obtained by the intelligent monitoring module can be transmitted in parallel, and chat answers can be provided via pop-up windows after the connection is established.

[0074] To achieve the above objectives, another aspect of this application proposes a digital medical and health monitoring method based on integrated network services, applied to the aforementioned digital medical and health monitoring system based on integrated network services, with reference to... Figure 2 The method includes:

[0075] Step S201: Log in to the application module and establish a connection between the application module and the intelligent monitoring module;

[0076] Step S202: The intelligent monitoring module performs data monitoring and collection processing on the target object to obtain health monitoring data;

[0077] Step S203: The health monitoring data is processed by the intelligent monitoring module to obtain a health assessment result, and the health assessment result is uploaded to the application module.

[0078] Step S204: The health assessment results are displayed and processed through the application module, and a health plan is formulated and adjusted for the target object based on the health assessment results.

[0079] Step S205: The health monitoring data is uploaded to the central feedback module through the application module, and then viewed, analyzed and processed by the central feedback module.

[0080] In this embodiment, a digital medical and health monitoring method based on integrated network services is applied to the aforementioned digital medical and health monitoring system based on integrated network services. The method involves logging into the application module and establishing a network connection between the application module and the intelligent monitoring module. The intelligent monitoring module then collects and processes data from the target object to obtain health monitoring data. Next, the intelligent monitoring module performs health assessment processing on the acquired health monitoring data to obtain health assessment results, which are then uploaded to the application module for viewing. The application module displays the health assessment results and, based on these results, formulates and adjusts plans for the target object to obtain a health plan. Finally, the application module uploads the health monitoring data obtained by the intelligent monitoring module to the central feedback module for viewing, analysis, and processing. The application module displays the health assessment results in real time, shows the formulated health plan, and allows adjustments to the target object's diet and lifestyle based on the plan. This health plan can be sent to the intelligent detection module, where a voice broadcast unit announces the corresponding planned activities within a specified time. Specifically, the steps for developing a health plan are as follows: understanding one's physical condition and health needs; collecting data through a health assessment module; setting feasible, specific, and quantifiable health goals, including lowering blood sugar and adjusting sleep time; developing a suitable diet plan, including the intake of staple foods, protein, and fruits and vegetables at each meal, as well as water intake and meal times; developing a suitable exercise plan; ensuring sufficient sleep time each day; establishing good sleep habits, such as regular sleep patterns and maintaining a quiet and comfortable sleep environment; and conducting regular physical examinations based on age and health status to promptly detect and prevent potential health problems.

[0081] In some embodiments, the health monitoring data includes heart rate monitoring data, blood pressure monitoring data, and sleep monitoring data. The step of obtaining health monitoring data by collecting and processing data from the target object through the intelligent monitoring module includes:

[0082] The heart rate monitoring data is obtained by performing photoelectric transmission measurement on the target object.

[0083] The target object is subjected to pulse analysis to obtain the blood pressure monitoring data;

[0084] The sleep status of the target object is monitored and processed to obtain the sleep monitoring data.

[0085] In this embodiment, the data monitored by the intelligent monitoring module includes heart rate monitoring data, blood pressure monitoring data, and sleep monitoring data. Specifically, heart rate monitoring data is obtained by performing photoelectric transmission measurement on the target object; blood pressure monitoring data is obtained by performing pulse analysis on the target object; and sleep monitoring data is obtained by performing sleep monitoring on the target object.

[0086] In some embodiments, the step of performing photoelectric transmission measurement processing on the target object to obtain the heart rate monitoring data includes:

[0087] The skin of the target object is subjected to photosensitive irradiation treatment using a generator;

[0088] The heart rate monitoring data is obtained by receiving the returned photosensor through a receiver and measuring the intensity of the photosensor.

[0089] In this embodiment, the intelligent monitoring module monitors heart rate using photoelectric transmission measurement. It emits a photosensitive light through a generator and receives the returned photosensitive light through a receiver for measurement. Specifically, the generator emits a certain wavelength of light to irradiate the skin of the target object. The irradiated light beam is attenuated by the blood absorption of the skin tissue of the wrist, causing the light intensity received by the receiver to change pulsatingly, thereby detecting the heart rate and obtaining heart rate monitoring data.

[0090] In some embodiments, the step of performing pulse analysis on the target object to obtain the blood pressure monitoring data includes:

[0091] Acquire the pulse wave data of the target object;

[0092] The pulse wave data is processed by amplitude and time analysis to obtain the blood pressure monitoring data.

[0093] In this embodiment, the intelligent monitoring module monitors blood pressure using pulse analysis. It detects the pulse wave transmitted from the artery to the wrist when the heart beats, and analyzes the amplitude and time of the pulse wave to calculate the blood pressure of the target object.

[0094] In some embodiments, the sleep monitoring process performed on the target object to obtain the sleep monitoring data includes:

[0095] The sleep time of the target object is monitored and processed by the built-in accelerometer to obtain the sleep time;

[0096] The sleep time was processed to assess sleep quality, resulting in sleep monitoring data.

[0097] In this embodiment of the application, the intelligent monitoring module detects sleep by monitoring the sleep status of the target object through a built-in accelerometer. The built-in accelerometer monitors the sleep time of the target object, including the time to fall asleep, the number of times the target object wakes up, and the deep sleep time. By performing sleep quality assessment and analysis on the sleep time, a sleep quality assessment is provided to the target object.

[0098] In some embodiments, the step of performing health assessment processing on the health monitoring data through the intelligent monitoring module to obtain a health assessment result includes:

[0099] The health monitoring data were processed according to the standard deviation calculation formula to obtain the calculation results;

[0100] The calculation results are evaluated to obtain health assessment results.

[0101] In this embodiment, a health assessment is performed on health monitoring data through an intelligent monitoring module. Specifically, blood pressure, heart rate, and sleep patterns are collected, and the collected data are statistically analyzed. The standard deviation is calculated based on the standard deviation formula, which is shown below:

[0102] P = s(ax∧2);

[0103] Where a is the population standard deviation, x is each data point in the dataset, x² is the square of each data point, and s is the square root function. The calculated standard deviation is then evaluated, which can be based on the magnitude of the standard deviation. In one feasible embodiment, the standard deviation is graded into four levels: healthy, good, sub-healthy, and unhealthy.

[0104] The solutions of this application embodiment will be described in detail and explained below with reference to specific application examples:

[0105] This embodiment of the application involves logging into an application module, which is a mobile application (APP), and then connecting the mobile application to a smart monitoring module. This smart monitoring module can be worn on the wrist of a target individual, such as an elderly person. The smart monitoring module monitors the elderly person's heart rate, blood pressure, and sleep in real time, uploading the monitored data to a health assessment unit for intelligent evaluation and analysis, and then uploading the assessment results back to the application module. The application module allows the target individual's family members to monitor their health in real time, providing alerts via SMS and other methods to detect risks, and intelligently providing suggestions on diet, sleep, and activity based on the specific health situation. Based on the provided suggestions, relevant diet, sleep, and activity patterns can be set and adjusted to create a health plan, which is then broadcast aloud by the smart monitoring module. The application module is connected to a central feedback module via a network, allowing the application module to establish a dialogue with a doctor and upload real-time monitoring data to the central feedback device for the doctor to view, analyze, and provide relevant advice.

[0106] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned digital medical and health monitoring method based on integrated network services. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0107] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0108] Please see Figure 3 , Figure 3 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:

[0109] The processor 301 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0110] The memory 302 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 302 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 302 and is called and executed by the processor 301 to implement a digital medical and health monitoring method based on integrated network services according to an embodiment of this application.

[0111] Input / output interface 303 is used to implement information input and output;

[0112] The communication interface 304 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0113] Bus 305 transmits information between various components of the device (e.g., processor 301, memory 302, input / output interface 303, and communication interface 304);

[0114] The processor 301, memory 302, input / output interface 303, and communication interface 304 are connected to each other within the device via bus 305.

[0115] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described digital medical and health monitoring method based on integrated network services.

[0116] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0117] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0118] This application provides a digital medical and health monitoring system and method based on integrated network services. It collects health monitoring data of target subjects through an intelligent monitoring module, processes the data to obtain health assessment results, and uploads these results to an application module. This enables real-time health monitoring of target subjects and intelligent health assessment based on the test results, improving system processing efficiency. Furthermore, the application module displays the health assessment results and, based on these results, formulates and adjusts plans for the target subjects to obtain health plans tailored to their health status. Finally, a central feedback module transmits the health assessment results to the medical system, providing real-time feedback on the target subjects' health status.

[0119] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0120] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0121] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0122] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0123] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0124] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0125] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0126] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0127] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0128] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0129] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A digital health monitoring system based on integration of web services, characterized in that, The system includes a central feedback module, an application module, and an intelligent monitoring module; the central feedback module and the application module are connected via a network, and the application module and the intelligent monitoring module are connected via a network. The intelligent monitoring module is used to collect health monitoring data of the target object, perform health assessment processing on the health monitoring data to obtain health assessment results, and upload the health assessment results to the application module; The application module is used to display the health assessment results and to formulate and adjust plans for the target object based on the health assessment results to obtain a health plan; The central feedback module is used to feed the health assessment results back to the medical system.

2. The system of claim 1, wherein, The intelligent monitoring module includes a voice broadcast unit and a health assessment unit; The voice broadcasting unit is used to recognize and broadcast the health plan using a text recognition model. The health assessment unit is used to process the health monitoring data to assess the health status and obtain the health assessment results.

3. The system of claim 2, wherein, The voice broadcasting unit is used to recognize and broadcast the health plan via a text recognition model, including: By constructing and processing the deep neural network model, a text recognition model is obtained; The health plan is converted into text using the text recognition model to obtain a high-dimensional feature vector. The high-dimensional feature vector is processed for text recognition and then converted into speech for broadcast.

4. The system of claim 1, wherein, The application module also includes a data transmission unit; The data transmission unit is used to establish a session with the central feedback module via a network connection; The health monitoring data is transmitted in parallel according to the session, and data interaction is performed through pop-up windows.

5. The digital health monitoring method based on network service integration, applied to the digital health monitoring system based on network service integration according to any one of claims 1 to 4, characterized in that, The method includes: Login is processed for the application module, and a connection is established between the application module and the intelligent monitoring module; The intelligent monitoring module collects and processes data from the target object to obtain health monitoring data. The intelligent monitoring module performs health assessment processing on the health monitoring data to obtain health assessment results, and then uploads the health assessment results to the application module. The application module displays the health assessment results and, based on these results, formulates and adjusts plans for the target individuals to obtain a health plan. The health monitoring data is uploaded to the central feedback module through the application module, and then viewed, analyzed, and processed by the central feedback module.

6. The method according to claim 5, characterized in that, The health monitoring data includes heart rate monitoring data, blood pressure monitoring data, and sleep monitoring data. The health monitoring data is obtained by collecting and processing data from the target object through the intelligent monitoring module, including: The heart rate monitoring data is obtained by performing photoelectric transmission measurement on the target object. The target object is subjected to pulse analysis to obtain the blood pressure monitoring data; The sleep status of the target object is monitored and processed to obtain the sleep monitoring data.

7. The method according to claim 6, characterized in that, The process of performing photoelectric transmission measurement on the target object to obtain the heart rate monitoring data includes: The skin of the target object is subjected to photosensitive irradiation treatment using a generator; The heart rate monitoring data is obtained by receiving the returned photosensor through a receiver and measuring the intensity of the photosensor.

8. The method according to claim 6, characterized in that, The pulse analysis of the target object to obtain the blood pressure monitoring data includes: Acquire the pulse wave data of the target object; The pulse wave data is processed by amplitude and time analysis to obtain the blood pressure monitoring data.

9. The method according to claim 6, characterized in that, The process of monitoring the sleep status of the target object to obtain the sleep monitoring data includes: The sleep time of the target object is monitored and processed by the built-in accelerometer to obtain the sleep time; The sleep time was processed to assess sleep quality, resulting in sleep monitoring data.

10. The method according to claim 5, characterized in that, The process of performing health assessment on the health monitoring data through the intelligent monitoring module to obtain health assessment results includes: The health monitoring data were processed according to the standard deviation calculation formula to obtain the calculation results; The calculation results are evaluated to obtain health assessment results.

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