Perinatal multimodal synergistic intervention method and related devices

Abstract

The application provides a perinatal multi-modal collaborative intervention method and related equipment, wherein the method comprises: acquiring user state information of a user terminal, the user state information at least including a physiological phase identifier for distinguishing between a pregnancy stage and a postpartum stage; determining and executing a working mode for the wearable terminal based on the physiological phase identifier; locking the electrical stimulation output function of the wearable terminal in the pregnancy working mode, and starting the lower limb movement monitoring function to generate a movement feedback signal; unlocking the electrical stimulation output function of the wearable terminal in the postpartum working mode, and starting the electrical stimulation output function to output an electrical stimulation pulse, while collecting user physiological response data; and dynamically adjusting the output parameters of the wearable terminal according to the movement feedback signal or the physiological response data. The application can automatically match the working running mode, ensure the safety of use during pregnancy, meet the postpartum rehabilitation intervention requirements, and realize the dynamic self-adaptive adjustment of the intervention output parameters.

Description

Technical Field

[0001] This application relates to the field of intelligent medical device technology, specifically to a perinatal multimodal collaborative intervention method and related equipment. Background Technology

[0002] Women in late pregnancy and postpartum are a special group with unique physiological functions. They are generally prone to symptoms such as overactive bladder syndrome, urge incontinence, and lower extremity edema. Furthermore, the nocturnal reflux of fluid from the lower extremities can further aggravate secondary problems such as frequent urination at night and abnormal bladder load, seriously affecting the quality of daily life and physical and mental recovery of women in the perinatal period. This is a key area of ​​long-term concern in the fields of obstetric and gynecological rehabilitation and women's health management.

[0003] However, most perinatal rehabilitation interventions currently available in the market and clinical practice are implemented independently, using single electrical stimulation therapy or general exercise guidance, failing to provide holistic adaptation and management based on the different physiological phases of pregnancy and postpartum. Traditional intervention methods cannot differentiate the activation status of electrical stimulation functions according to physiological stages, nor can they simultaneously monitor lower limb movement status. Furthermore, they struggle to flexibly adjust intervention output parameters based on movement feedback or physiological responses, making it difficult to meet the safe use and rehabilitation intervention requirements of the unique physiological context of the perinatal period. Therefore, existing technologies suffer from insufficient adaptability to the perinatal physiological stages, failing to simultaneously address the practical needs of safe use during pregnancy and dynamic adjustment of postpartum rehabilitation parameters.

[0004] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the Invention

[0005] This application provides a perinatal multimodal collaborative intervention method and related equipment, which can automatically match the corresponding working mode according to different physiological phases of the perinatal period, meet the postpartum rehabilitation intervention needs while ensuring the safety of use during pregnancy, and realize the dynamic adaptive adjustment of intervention output parameters based on the collected feedback data.

[0006] In a first aspect, embodiments of this application provide a perinatal multimodal collaborative intervention method, characterized in that it includes: Obtain user status information from the user terminal, wherein the user status information includes at least a physiological phase identifier used to distinguish between the pregnancy stage and the postpartum stage; Based on the physiological phase identifiers, a working mode for the wearable terminal is determined and executed; the working mode includes at least a pregnancy working mode and a postpartum working mode. In the pregnancy working mode, the electrical stimulation output function of the wearable terminal is locked, and the lower limb motion monitoring function based on inertial sensing data is activated to generate motion feedback signals. In the postpartum working mode, the electrical stimulation output function of the wearable terminal is unlocked and turned on to output electrical stimulation pulses, while collecting the user's physiological response data. The output parameters of the wearable terminal are dynamically adjusted based on the motion feedback signal or the physiological response data.

[0007] Secondly, embodiments of this application provide a wearable terminal, including: A bandage is worn on the surface projection area of ​​the tibial nerve at the user's ankle. A control box is mounted on the strap, and the control box encapsulates a microcontroller, a pulse generation circuit, an inertial measurement unit, a Bluetooth communication module, and a power management unit. At least two electrode pads are embedded inside the strap and electrically connected to the pulse generating circuit for application to the skin surface to output electrical stimulation pulses; The microcontroller is configured to perform the steps executed by the wearable terminal in the perinatal multimodal collaborative intervention method as described in the first aspect.

[0008] Thirdly, embodiments of this application provide a perinatal multimodal collaborative intervention system, including: Wearable terminals as described in the first aspect; The user terminal is used to receive status information input by the user, display the guidance interface, record the urination diary and control the stimulation parameters, and communicate with the wearable terminal and the cloud server. Cloud servers are used to store user data and run personalized recommendation algorithms; The system is configured to perform the perinatal multimodal collaborative intervention method as described in the first aspect.

[0009] Fourthly, embodiments of this application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the perinatal multimodal collaborative intervention method as described in the second aspect.

[0010] Fifthly, embodiments of this application provide a storage medium storing a computer program capable of being loaded by a processor and executing the perinatal multimodal collaborative intervention method as described in the second aspect.

[0011] This application provides a perinatal multimodal collaborative intervention method and related equipment. First, by acquiring physiological phase identifiers that distinguish between pregnancy and postpartum, the user's perinatal physiological stage is accurately defined. Then, based on these physiological phase identifiers, differentiated working modes are matched and executed. In the pregnancy working mode, the electrical stimulation output function is locked, lower limb movement monitoring is activated, and motion feedback is generated, mitigating the safety risks of electrical stimulation during the special perinatal period from the source of use, while simultaneously achieving effective perception of lower limb movement status. In the postpartum working mode, the electrical stimulation output is unlocked, pulse intervention is carried out, and physiological response data is collected synchronously, effectively adapting to the application needs of postpartum rehabilitation intervention. Finally, the output parameters of the wearable terminal are dynamically adjusted based on motion feedback signals or physiological response data, so that the intervention output is no longer fixed and can be flexibly adapted to the user's actual state. Therefore, this application automatically matches the corresponding working mode according to different physiological phases of the perinatal period, realizing zoned control and differentiated intervention for different physiological stages of the perinatal period. This ensures safety during pregnancy while meeting the needs of postpartum rehabilitation intervention, and dynamically and adaptively adjusts the intervention output parameters based on the collected feedback data, improving the matching degree between rehabilitation intervention parameters and the user's real-time physiological state. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is an application environment diagram of the perinatal multimodal collaborative intervention method provided in the embodiments of this application; Figure 2 This is a flowchart illustrating the perinatal multimodal collaborative intervention method provided in the embodiments of this application; Figure 3 This is a schematic diagram of the perinatal multimodal collaborative intervention system provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0014] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of systems and methods consistent with those detailed in the appended claims or with some aspects of this application.

[0015] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover descriptions such as non-exclusive inclusion, so that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, components, features, and elements with the same names in different embodiments of this application may have the same meaning or different meanings, the specific meaning of which must be determined by its interpretation in that specific embodiment or further in conjunction with the context of that specific embodiment.

[0016] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0017] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustrative purposes and has no specific meaning in itself. Therefore, "module," "part," or "unit" may be used interchangeably.

[0018] To address the aforementioned technical problems and overcome the shortcomings of existing technologies, this application provides a perinatal multimodal collaborative intervention method and related equipment, which can automatically match the corresponding working mode according to different physiological phases of the perinatal period, ensuring safety during pregnancy while meeting the needs of postpartum rehabilitation intervention, and dynamically and adaptively adjusting the intervention output parameters based on the collected feedback data.

[0019] Figure 1 This is a diagram illustrating the application environment of a perinatal multimodal collaborative intervention method in one embodiment. (Refer to...) Figure 2This perinatal multimodal collaborative intervention method is applied to a perinatal multimodal collaborative intervention system. The system includes a terminal 110 and a server 120. The terminal 110 and server 120 are connected via a network. The terminal 110 can be a desktop terminal or a mobile terminal; the mobile terminal can be at least one of a mobile phone, tablet, or laptop. The server 120 can be a standalone server or a server cluster consisting of multiple servers. Server 120 is configured to execute the aforementioned perinatal multimodal collaborative intervention method, including: acquiring user status information from a user terminal, the user status information including at least physiological phase identifiers for distinguishing between the pregnancy and postpartum stages; determining and executing a working mode for the wearable terminal based on the physiological phase identifiers; the working modes include at least a pregnancy working mode and a postpartum working mode; in the pregnancy working mode, locking the electrical stimulation output function of the wearable terminal and enabling the lower limb motion monitoring function based on inertial sensor data to generate motion feedback signals; in the postpartum working mode, unlocking the electrical stimulation output function of the wearable terminal and enabling the electrical stimulation output function to output electrical stimulation pulses, while simultaneously collecting user physiological response data; and dynamically adjusting the output parameters of the wearable terminal according to the motion feedback signals or physiological response data.

[0020] Please see Figure 2 , Figure 2 This is a flowchart illustrating a perinatal multimodal collaborative intervention method provided in an embodiment of this application. This embodiment primarily uses the application of this perinatal multimodal collaborative intervention method to a perinatal multimodal collaborative intervention system as an example for illustration. The perinatal multimodal collaborative intervention system includes a wearable terminal, a user terminal, and a cloud server. Specifically, the perinatal multimodal collaborative intervention method provided in an embodiment of this application may include the following steps: S1. Obtain user status information from the user terminal. The user status information includes at least a physiological phase identifier used to distinguish between the pregnancy stage and the postpartum stage. Specifically, for step S1, the system retrieves and collects the user's unique status information from the user's daily-used interactive terminal device. This information primarily consists of a physiological phase identifier. This physiological phase identifier is a unique classification marker set by the system, its sole purpose being to clearly define the user's perinatal physiological state, specifically classifying the user as either pregnant or postpartum, serving as the core basis for subsequent pattern matching. Users can independently input their personal physiological information on the terminal, and the system automatically generates and updates the physiological phase identifier based on the input, ensuring consistency between the identifier and the user's actual physiological state. For example, if a user fills in their current pregnancy information on the smart terminal, the system automatically generates a unique physiological phase identifier, classifying the user as pregnant; after delivery, if the user updates their personal status on the terminal, the system synchronously refreshes the identifier, classifying the user as postpartum.

[0021] S2. Based on physiological phase identifiers, determine and execute working modes for wearable terminals; working modes include at least a pregnancy working mode and a postpartum working mode; Specifically, for step S2, the system uses the physiological phase identifier obtained in the first step as the sole criterion for judgment, automatically matching and adapting to the dedicated working mode suitable for the wearable terminal without requiring manual selection or switching. The system pre-configures two independent basic working modes with different functional logics: a pregnancy working mode specifically adapted to the physiological characteristics of pregnancy, and a postpartum working mode adapted to postpartum recovery needs. Upon identifying the corresponding physiological phase identifier, the system immediately loads the corresponding working mode and controls the wearable terminal to operate according to the rules of that mode throughout the process. For example, when the system reads the physiological phase identifier as pregnancy, it immediately loads and starts the pregnancy working mode for the wearable terminal; if it reads the identifier as postpartum, the system automatically switches the operating logic to execute the postpartum working mode for the wearable terminal.

[0022] S3. In the pregnancy work mode, lock the electrical stimulation output function of the wearable terminal and enable the lower limb motion monitoring function based on inertial sensor data to generate motion feedback signals. Specifically, in step S3, once the wearable terminal enters the pregnancy working mode, the system completely locks and blocks the device's electrical stimulation output function from the underlying operating logic, blocking all local operations and remote commands from triggering the electrical stimulation function, thus preventing the output of electrical stimulation pulses from the source. Simultaneously, the system actively activates the device's onboard inertial sensing capabilities, continuously collecting raw inertial sensing data generated during the user's lower limb activities. The system performs basic calculations and logical analysis on the collected raw sensing data, identifying behavioral characteristics such as lower limb posture and activity state, and generating motion feedback signals that objectively represent the lower limb movement state and behavior. For example, when a user wears the wearable terminal during pregnancy, electrical stimulation output cannot be initiated regardless of manual operation on the device or control commands issued through the terminal; the device continuously collects lower limb inertial sensing data, analyzes the activity state and movement changes of the ankle and lower limbs, and ultimately generates standardized motion feedback signals that intuitively reflect the user's lower limb movement.

[0023] S4. In postpartum work mode, unlock the electrical stimulation output function of the wearable terminal and turn on the electrical stimulation output function to output electrical stimulation pulses, while collecting the user's physiological response data. Specifically, in step S4, after the wearable terminal switches to postpartum working mode, the system unlocks the previously locked and restricted electrical stimulation output function, fully opening its operation and running permissions. The device then activates its internal electrical stimulation output module, continuously outputting regular electrical stimulation pulses to the human body surface according to preset operating rules. Throughout the entire output process of the electrical stimulation pulses, the system synchronously collects raw data on various physiological responses generated by the human body after receiving electrical stimulation, fully recording relevant information such as the human body's sensory feedback and changes in physiological state. For example, after entering postpartum working mode, the electrical stimulation function returns to normal usability, and the device stably outputs electrical stimulation pulses to designated parts of the human body according to preset rules; simultaneously, it collects data on the user's body's sensory response and physiological state feedback to the electrical stimulation in real time throughout the process, providing original data for subsequent parameter adjustments.

[0024] S5. Dynamically adjust the output parameters of the wearable terminal based on motion feedback signals or physiological response data; Specifically, for step S5, the system uses motion feedback signals generated during pregnancy or user physiological response data collected postpartum as the basis for adjustment, abandoning the traditional method of fixed-parameter, unchanging operation. Combining the actual lower limb movement status reflected by the signals and the human physiological tolerance and feedback status reflected by the data, the system adaptively and dynamically corrects various working output parameters of the wearable terminal in real time, so that the device's operating parameters can accurately match the user's current physiological state, movement status, and usage needs.

[0025] For example, the system can dynamically fine-tune the output parameters such as the sensitivity and state recognition benchmark of the inertial sensor monitoring based on the feedback signals of lower limb movement during pregnancy; it can also adaptively adjust the core operating parameters such as the output intensity, duration, and working interval of the electrical stimulation pulse based on the physiological response data of postpartum users.

[0026] This embodiment accurately acquires and distinguishes the physiological phase markers of pregnancy and postpartum, automatically matching the wearable terminal with the corresponding exclusive working mode. During pregnancy, the electrical stimulation function is forcibly disabled while lower limb movement monitoring and signal generation are achieved. After childbirth, the electrical stimulation function is enabled and pulses are output while simultaneously collecting human physiological response data. It can also adaptively adjust the device output parameters based on movement feedback signals or physiological response data, realizing zoned control, differentiated operation, and parameter adaptive adaptation for different physiological stages during the perinatal period. This ensures both the safety of use during pregnancy and the actual needs of postpartum rehabilitation intervention.

[0027] Furthermore, in some embodiments, the method further includes: In the pregnancy work mode, video guidance information is output through the user terminal to guide the user to perform lower limb exercises; the video guidance information includes a demonstration of ankle pump exercises and rhythmic audio prompts.

[0028] Specifically, in the pregnancy working mode, the perinatal multimodal collaborative intervention method provided in this embodiment also includes a guidance function. When the device is running in the non-pregnancy working mode, no video guidance-related functions will be activated; only after the system enters the pregnancy working mode will the subsequent information output and exercise guidance process be automatically started.

[0029] Using the user's interactive terminal as the information display and output carrier, the terminal device retrieves pre-set multimedia resources and presents the guidance content externally in the form of video playback. No additional dedicated display equipment is required; the visualization output of guidance information can be completed using a conventional terminal. After the user's daily-used smart terminal establishes a communication connection with the wearable device, the terminal automatically retrieves built-in video resources and plays the exclusive guidance video in full screen or pop-up window to complete the external output of guidance information.

[0030] The video guidance information played on the terminal serves as professional exercise guidance. Through intuitive video demonstrations and rhythm prompts, it guides users to perform lower limb exercises according to standard postures and rhythms, avoiding problems such as incorrect movements, improper force application, and disordered exercise rhythm that users encounter when exploring exercises on their own. For example, by following the video content played on the terminal, users can complete a complete set of lower limb and ankle-related exercises in sequence, following the on-screen movements and audio rhythm, and conducting home exercise training according to standardized guidance throughout.

[0031] The output video guidance information consists of two fixed components. The first part is a demonstration video specifically for ankle pump exercises, which uses dynamic images to fully demonstrate the standard movement process, joint posture, and limb force generation of ankle pump exercises. The second part is rhythmic audio prompts, which use beat effects and voice prompts to standardize the duration of individual movements, the rhythm of movement transitions, and the cycle frequency of the entire exercise. The visuals and audio work together to form a complete exercise guidance system. For example, the demonstration video fully shows the details of the complete standard ankle pump movement, including upward dorsiflexion and downward plantarflexion of the ankle; the rhythmic audio prompts emit regular beat sounds, prompting users to complete the movements such as lifting the foot, pointing the toes, pausing and returning to the starting position at the corresponding beats, accurately controlling the exercise rhythm.

[0032] In this embodiment, during the pregnancy work mode, the user terminal outputs video guidance content that integrates action demonstration images and rhythm prompts. This visual approach combining audio and video provides standardized guidance for users to perform lower limb ankle pump exercises, allowing for standardized movements and a fixed rhythm for lower limb exercises at home during pregnancy. This significantly improves the standardization and followability of lower limb exercise training during pregnancy.

[0033] Furthermore, in some embodiments, the electrical stimulation output function includes transcutaneous tibial nerve stimulation and / or neuromuscular electrical stimulation.

[0034] Specifically, the electrical stimulation output function provided in this embodiment includes two independent and independently operable electrical stimulation types: transcutaneous tibial nerve stimulation function and neuromuscular electrical stimulation function.

[0035] Among them, percutaneous tibial nerve stimulation (PTS) is a type of non-invasive surface-based electrical nerve stimulation that does not require implantation. Electrodes attached to designated locations on the skin deliver appropriate electrical stimulation signals, which are then conducted through the skin to the tibial nerve pathway, specifically targeting the nerve and regulating its conduction. For example, by attaching the wearable device's electrodes to the projection of the tibial nerve on the medial side of the ankle, the device activates the function, outputting a specific electrical stimulation signal to gently regulate related nerve activity without invasive procedures.

[0036] Neuromuscular electrical stimulation (NMS) is a type of electrical stimulation that targets human muscle tissue. It delivers electrical stimulation signals of specific waveforms and intensities via surface electrodes, directly acting on the skeletal muscle tissue of the lower limbs. Utilizing the conduction properties of electrical signals, it passively induces rhythmic contractions and relaxations in the muscles, thereby activating, exercising, and regulating their function. For example, wearable terminal electrodes are attached to the muscles on the lateral side of the calf and around the ankle. Activating this function outputs electrical signals that induce rhythmic passive contractions in the tibialis anterior and gastrocnemius muscles, assisting in muscle activity.

[0037] The electrical stimulation output function provided in this embodiment can select a single mode or a combination mode of transcutaneous tibial nerve stimulation and neuromuscular electrical stimulation. It can flexibly select the stimulation type according to the actual use scenario, adapt to different intervention needs, and improve the versatility and adaptability of the device's functional configuration.

[0038] Furthermore, in some embodiments, step S1, "obtaining user status information of the user terminal," may specifically include: S11. Obtain gestational age, postpartum days, or due date information input by the user at the user terminal; Specifically, for step S11, users can manually enter their personal perinatal time-related information through the user interface of their daily-use terminal device. The terminal has a dedicated information entry and reception function, capable of collecting three types of optional information: current gestational age, number of days postpartum, and estimated due date. Users can choose one or more of these information to enter based on their actual situation. The terminal receives and temporarily stores this raw time information in real time as the basic data source for subsequent logical operations. For example, a pregnant user can manually enter their current gestational age as 36 weeks or directly enter their due date as March 10th of the following year; a user who has already given birth can enter that they are currently 25 days postpartum, and the terminal immediately receives and saves the time data entered by the user.

[0039] S12. Based on the comparison and calculation between the current date and the expected delivery date or postpartum days information, automatically generate physiological phase identifiers; Specifically, in step S12, the system retrieves the network standard time or the device's local calibration time as a unified current reference date. This reference date is then compared with the user's entered due date and postpartum days information, and logical operations are performed. Based on preset calculation rules, the system automatically determines the user's current physiological stage, eliminating the need for manual status classification. The system's backend autonomously calculates and generates a unique corresponding physiological phase identifier, thus clearly distinguishing whether the user is in the pregnancy or postpartum period. For example, the system reads the current calendar date and compares it with the user's entered due date. If the current date has not yet reached the due date, the system determines that the user is still pregnant and automatically generates a corresponding pregnancy-specific identifier. If the system calculates the time span based on the entered postpartum days and confirms that the user has completed postpartum recovery, a postpartum-specific identifier is automatically generated.

[0040] S13. Synchronize the physiological phase identifier to the microcontroller of the wearable terminal via Bluetooth communication protocol and store it in its non-volatile memory; Specifically, in step S13, a wireless Bluetooth communication connection is established between the user terminal and the wearable terminal. Data encapsulation and transmission are completed strictly according to the Bluetooth communication protocol, and the generated physiological phase identifier is wirelessly sent to the microcontroller integrated inside the wearable terminal. After receiving the identifier data, the microcontroller writes it into the non-volatile memory configured in the device for permanent storage. This type of memory has the characteristic of not losing data when power is off. Even if the wearable terminal is turned off and restarted after a power outage, the stored physiological phase identifier can still be completely retained and can be retrieved and used by the device at any time. For example, after the terminal generates the physiological phase identifier, it transmits the identifier data to the microcontroller built into the ankle-worn device via the Bluetooth link. After receiving the data, the microcontroller immediately writes it into the device's solid-state storage chip. Subsequently, the device can directly read the stored identifier every time it is turned on, without the need for the user to repeatedly enter information.

[0041] This embodiment collects perinatal time information entered by the user through the terminal, automatically generates physiological status identifiers through intelligent date calculation by the system, and then uses Bluetooth to realize cross-device synchronization of the identifiers and permanently store them in the wearable terminal. This realizes the automated collection, intelligent generation, wireless synchronization and permanent retention of physiological time phase identifiers, ensuring that the status identifier data is easy to obtain, accurate in judgment and effective in the long term.

[0042] Furthermore, in some embodiments, step S2, "determining and executing the working mode for the wearable terminal based on physiological phase identifiers," may specifically include: S21. When the wearable terminal's microcontroller is powered on or receives an instruction, it reads the locally stored physiological phase identifier; Specifically, in step S21, the microcontroller built into the wearable terminal, acting as the core control unit, is configured with two types of triggering conditions: the device being powered on or receiving an external control command. Once either triggering condition is met, the microcontroller automatically retrieves the physiological phase identifiers stored in the device's local memory. This eliminates the need for real-time data transmission from external devices, allowing the microcontroller to directly read the status information locally, providing a basis for subsequent working mode determination. For example, whenever the wearable device is powered on again after being powered off, or when a user issues a control command to initiate intervention via a connected terminal, the internal microcontroller immediately reads the pre-stored physiological phase identifier data from its local storage area.

[0043] S22. If the physiological phase is identified as the pregnancy stage, the microcontroller cuts off the power supply to the pulse generation circuit and invalidates all application programming interface calls related to electrical stimulation. Specifically, in step S22, when the microcontroller identifies the identified state as pregnancy, it first performs a control operation at the hardware level, directly cutting off the power supply to the pulse generation circuit, thus physically blocking the circuit's operation. Simultaneously, at the software level, it sets all application programming interfaces related to the electrostimulation function to an invalid call state, blocking all entry points for the electrostimulation function. Even if external operation commands or parameter configuration requests are received, the system cannot respond to or execute electrostimulation-related operations, forming a dual constraint of hardware and software. For example, when pregnancy is identified, the microcontroller disconnects the power supply to the pulse generation circuit, rendering it unable to operate without power; at the same time, it blocks all program interfaces for turning on, adjusting, and starting electrostimulation, preventing any operation commands from calling the electrostimulation function module.

[0044] S23. If the physiological phase is identified as the postpartum stage, the microcontroller connects the power supply to the pulse generation circuit and opens the configuration interface for the electrical stimulation parameters; Specifically, in step S23, when the microcontroller identifies the identifier as belonging to the postpartum stage, it closes the power supply path of the pulse generation circuit at the hardware level, restoring the circuit's normal power supply capability and providing the hardware foundation for normal operation. At the software level, it simultaneously opens all configuration interfaces used for setting, modifying, and debugging electrical stimulation operating parameters, allowing internal system programs or external terminals to access and configure various electrical stimulation operating parameters normally through the interfaces, ensuring that the electrical stimulation function can be enabled normally and adjusted individually. For example, when the postpartum state is identified, the microcontroller reconnects the power supply to the pulse generation circuit and unlocks the configuration interfaces for parameters such as electrical stimulation frequency, pulse width, and output intensity, supporting normal setting and initiation of electrical stimulation-related work.

[0045] This embodiment uses a microcontroller to locally read physiological status identifiers when the device is powered on or receives instructions. During pregnancy, the electrical stimulation function is locked from two dimensions: hardware power-off and software interface disabling. For postpartum recovery circuits, power is supplied and parameter configuration interfaces are opened. This achieves automated and differentiated safety management of the electrical stimulation circuit and functional interfaces according to physiological stages. The mode switching logic is rigorous and the protection reliability is high.

[0046] Furthermore, in some embodiments, step S3, "In the pregnancy work mode, locking the electrical stimulation output function of the wearable terminal and activating the lower limb motion monitoring function based on inertial sensing data to generate motion feedback signals," may specifically include: S31. The wearable terminal's built-in inertial measurement unit collects triaxial acceleration and angular velocity data of the ankle joint in real time. Specifically, in step S31, the wearable terminal integrates an inertial measurement unit (IMU). After the device is worn and fits snugly around the ankle joint, this sensing unit can continuously collect real-time data around the clock, capturing raw acceleration data generated by the ankle joint along the three-dimensional orthogonal axes in space. Simultaneously, it collects raw angular velocity data of the ankle joint during rotation, forming a continuous, time-series motion sensing raw data stream, providing a basic data source for subsequent data processing and motion analysis. For example, when a user wears the device to perform ankle flexion and extension activities, the IMU senses the motion acceleration of the ankle along the vertical, forward, backward, and left-right axes in real time, as well as the speed and angular velocity of the ankle rotation and swing, continuously outputting real-time sensing values ​​and recording changes in motion state without interruption.

[0047] S32. Perform data fusion and attitude calculation on the triaxial acceleration and angular velocity data, and extract the pitch angle and its rate of change in the sagittal plane; Specifically, in step S32, the internal control unit retrieves the collected triaxial acceleration and triaxial angular velocity raw data, and uses a preset algorithm to complete the fusion correction of multi-source sensor data to offset the drift error of a single sensor and environmental interference. Then, through the attitude calculation model, it calculates the overall attitude angle of the foot in space, and accurately selects the pitch angle parameter corresponding to the human body's sagittal motion plane. Furthermore, it calculates the rate of change of this pitch angle over time based on the time series, obtains the pitch angle change rate, and eliminates interference parameters of irrelevant motion dimensions, retaining only the core attitude features related to ankle flexion and extension. For example, after fusing and denoising the messy raw acceleration and angular velocity data, it calculates the pitch angle corresponding to the upward and downward swing of the ankle, and calculates the rate of change of the angle per second, filtering out irrelevant attitude data such as left and right swaying of the ankle.

[0048] S33. Based on the pitch angle and its rate of change, identify the dorsiflexion and plantarflexion movements of the ankle joint, and determine whether a single movement reaches a preset angle threshold; Specifically, for step S33, the calculated pitch angle value and pitch angle change rate are used as the core discrimination criteria. Based on the deflection direction and angle change trend of the pitch angle, two standard movement patterns of the ankle joint are accurately distinguished and identified: dorsiflexion with the toes pointing upwards and plantarflexion with the toes pointing downwards. The device has a fixed angle judgment threshold pre-set. After identifying a complete ankle joint movement cycle, the actual peak pitch angle of this movement is compared with the preset angle threshold to determine whether the amplitude of a single movement meets the standard requirements. For example, the system identifies ankle dorsiflexion based on the positive pitch angle deviation feature and plantarflexion based on the negative deviation feature. If the maximum deflection angle of this dorsiflexion or plantarflexion movement exceeds the system's preset standard angle threshold, the amplitude of the movement is judged to be qualified; otherwise, the amplitude of the movement is judged to be insufficient.

[0049] S34. When it is determined that a single action reaches the angle threshold, a motion feedback signal is generated, and the vibration motor of the wearable terminal is driven to output a tactile prompt. Specifically, in step S34, after the system completes the comparison of the angle of a single movement, if it determines that the amplitude of the ankle joint movement meets the preset angle threshold standard, it immediately generates a dedicated motion feedback electrical signal inside the device. This feedback signal is directly sent to the vibration motor built into the wearable terminal, triggering the motor to start short-term vibration work, providing real-time feedback to the user in the form of mechanical vibration tactile sensation that can be perceived on the skin, so that the movement meets the standard. For example, after the user completes an ankle dorsiflexion movement with the standard amplitude, the system immediately generates a motion feedback signal, controlling the device motor to produce a short vibration sensation, allowing the user to intuitively perceive that the current movement is performed correctly and meets the training requirements.

[0050] This embodiment uses an inertial measurement unit to collect three-dimensional motion data of the ankle joint in real time. After data fusion and attitude calculation, key pitch angle parameters are extracted, accurately identifying ankle flexion and extension movements and automatically determining the movement amplitude threshold. Feedback signals are generated in real time for qualified movements and tactile prompts are provided through a vibration motor, realizing automatic perception, intelligent recognition, standardized judgment and real-time somatosensory feedback of the entire process of ankle joint movement during pregnancy.

[0051] Furthermore, in some embodiments, step S33, "based on the pitch angle and its rate of change, identifying the dorsiflexion and plantarflexion movements of the ankle joint, and determining whether a single movement reaches a preset angle threshold," may specifically include: S331. Set a dynamic zeroing process, and collect the average pitch angle within a preset time period before the start of training as the relative zero baseline; S332. The sliding window method is used to monitor the magnitude of the pitch angle deviation from the relative zero baseline in real time; S333. When a positive deviation of the pitch angle is detected and the peak angle is greater than or equal to the back extension angle threshold, it is determined as a valid back extension action; S334. When a negative deviation of the pitch angle is detected and the absolute peak angle is greater than or equal to the plantar flexion angle threshold, it is determined as a valid plantar flexion action.

[0052] Specifically, the system has a built-in dynamic zero-calibration logic that triggers the calibration process at the beginning of each lower limb exercise training session. Before officially starting the exercise, the user is required to keep their ankle in a natural, still position while the device continuously collects raw pitch angle data over a fixed preset duration. The average pitch angle of all pitch angle values ​​collected during this period is then calculated and determined as the relative zero baseline for this training cycle. This baseline serves as the unified reference point for determining the angles of all subsequent ankle joint movements, compensating for initial angle deviations caused by device placement misalignment or differences in the individual's natural initial ankle posture.

[0053] A sliding window data processing mechanism is employed, defining a fixed-duration data observation window that continuously slides and iterates over time, capturing the pitch angle value updated in real time at every moment. The difference between the real-time acquired pitch angle value and the calibrated relative zero baseline is calculated, continuously and dynamically monitoring the deviation of the pitch angle from the baseline in terms of magnitude and direction. This process continuously tracks the dynamic changes in ankle posture, fully capturing the details of angular changes in every movement.

[0054] A positive deviation in the pitch angle indicates a shift in the ankle posture towards the direction the toes are pointing upwards. During the sliding window monitoring process, the system automatically captures the maximum pitch angle that can be reached within a single complete movement cycle, i.e., the peak angle. If this peak angle is within the positive deviation range and the value is not lower than the system's preset dorsiflexion angle threshold, the system immediately determines this complete ankle posture change as a valid dorsiflexion movement that meets the standard.

[0055] A negative pitch angle deviation indicates that the ankle has shifted in the direction of pointing downwards. The system captures the peak value of the negative pitch angle within the movement cycle, calculates the absolute value of the peak value, and compares it with the system's preset plantar flexion angle threshold. If the calculated absolute peak angle is not lower than the set plantar flexion angle threshold, then the complete change in the ankle pointing downwards is judged as a compliant and valid plantar flexion movement.

[0056] This embodiment establishes a personalized angle benchmark through dynamic zeroing calibration before training, tracks the pitch angle offset in real time through a sliding window, and completes the action validity judgment by matching the corresponding thresholds according to the peak values ​​of positive and negative angles. This effectively eliminates the detection errors caused by device wearing and individual initial posture, making the recognition and standard judgment of ankle dorsiflexion and plantarflexion movements more accurate, standardized and adapted to individual differences.

[0057] Furthermore, in some embodiments, the pregnancy work mode also includes: Count the number of valid actions within a preset duration and calculate the action frequency; The action frequency is compared with the preset frequency threshold range. If the action frequency is lower than the lower limit of the preset frequency threshold range or higher than the upper limit of the preset frequency threshold range, a frequency correction prompt signal is generated. When the cumulative duration of a single continuous training session reaches the pregnancy safety circuit breaker threshold, or when motion distortion is detected to continuously exceed the distortion duration threshold, the current training will be automatically paused and a training end command will be sent to the user terminal.

[0058] Specifically, during the operation of the pregnancy work mode, the system sets a fixed continuous statistical duration window. Within this time range, it automatically accumulates the total number of recognized and qualified effective ankle joint movements. Based on the total number of effective movements obtained from the statistics, the system performs calculations in conjunction with the corresponding statistical duration to calculate the number of movements completed per unit time, thereby obtaining a standardized movement frequency and realizing the quantitative statistics of the user's movement rhythm.

[0059] The system pre-stores a defined range of reasonable frequency thresholds as a standard reference range for lower limb movement rhythm during pregnancy. The system compares the real-time calculated movement frequency with this range: when the actual movement frequency is lower than the lower limit of the range, it indicates that the user's movement rhythm is too slow and the training density is insufficient; when the actual movement frequency is higher than the upper limit of the range, it indicates that the user's movement rhythm is too fast and the movement rhythm is disordered. Whenever either of these deviations from the standard range occurs, the system immediately generates a unique frequency correction signal, providing a basis for reminding the user to adjust their movement rhythm.

[0060] The system is pre-configured with two types of safety control thresholds: a safety break time threshold for a single continuous training session during pregnancy, and a maximum allowable time threshold for continuous movement deformation. During training, the system continuously accumulates and records the total duration of a single uninterrupted training session in real time, while also continuously monitoring whether there are any non-standard ankle joint movements, abnormal force exertion, or posture deformation.

[0061] When the cumulative duration of a single training session reaches the safety threshold, the system automatically terminates the training process without manual intervention. If the training duration has not exceeded the limit, but the duration of distorted movements or non-standard postures exceeds the set distortion duration threshold, the protection mechanism is also triggered. Simultaneously, the system automatically pauses the current training and sends a training termination control command to the associated user terminal, synchronously synchronizing the training termination information.

[0062] This embodiment can automatically quantify and count the number of effective movements and calculate the exercise frequency in the pregnancy work mode. It can accurately determine whether the exercise rhythm is compliant and generate correction prompts. At the same time, it can automatically terminate the abnormal training process through a dual safety constraint mechanism of training duration circuit breaker and movement deformation timeout. This not only standardizes the rhythm and frequency of users' home exercise, but also builds a safety protection barrier for pregnancy exercise training from the aspects of duration and movement standardization.

[0063] Furthermore, in some embodiments, step S4, "in postpartum work mode, unlocking the electrical stimulation output function of the wearable terminal and turning on the electrical stimulation output function to output electrical stimulation pulses, while collecting user physiological response data," may specifically include: S41. In response to the start command sent by the user terminal, the pulse generation circuit of the wearable terminal generates a basic electrical stimulation pulse with a preset frequency and pulse width; Specifically, in step S41, after the user terminal sends an intervention start command to the wearable terminal, the wearable terminal immediately responds to the command, triggering its internal working logic and driving the built-in pulse generation circuit to start working. The pulse generation circuit generates a standardized, waveform-regular basic electrical stimulation pulse according to the system's pre-set and fixed frequency and pulse width parameters. This basic pulse possesses standardized waveform and timing characteristics, serving as the reference signal for subsequent electrical stimulation output. For example, after the user clicks to start postpartum electrical stimulation intervention on the handheld terminal interface, the wearable terminal's pulse generation circuit immediately generates a regular, continuous basic electrical stimulation pulse waveform according to the system's preset fixed frequency and fixed pulse width.

[0064] S42. Perform an individualized intensity calibration process and receive user feedback on the throbbing and stinging thresholds through the user terminal; Specifically, for step S42, the system automatically enters a dedicated individualized intensity calibration process, gradually increasing the output intensity of the electrical stimulation from a low level. During the intensity increase, the user terminal acts as the interaction medium, receiving real-time feedback confirmation from the user based on their own physical sensations. The system captures the stimulation intensity corresponding to two key sensory thresholds: one is the stimulation intensity corresponding to a slight nerve twitching sensation in a localized area of ​​the body, recorded as the twitching threshold; the other is the stimulation intensity corresponding to the threshold point at which the body is about to experience a stinging discomfort, recorded as the stinging threshold. Both types of sensory threshold data are collected completely. For example, after the calibration process starts, the stimulation intensity gradually increases. When the user feels a noticeable nerve twitching on the skin surface without any stinging discomfort, they confirm by pressing a button on the terminal, and the system records the current intensity as the twitching threshold. The intensity is then increased slightly further, and when the user notices an impending stinging sensation, they confirm again on the terminal, and the system records the current intensity as the stinging threshold.

[0065] S43. Automatically calculate the treatment intensity value based on the pulsation threshold and the tingling threshold, and output electrical stimulation pulses to the electrode pads applied to the surface projection area of ​​the tibial nerve based on the treatment intensity value; Specifically, for step S43, the system uses pre-set numerical calculation rules to automatically calculate a personalized treatment intensity value that matches the user's individual tolerance, based on the collected pulsation and tingling thresholds. After calculation, the pulse generation circuit switches the output level and stably outputs electrical stimulation pulses according to the calculated treatment intensity value. The generated electrical stimulation pulses are conducted to the skin surface through electrode pads fixed to the projection position of the tibial nerve on the body surface, achieving targeted electrical stimulation. For example, based on the two collected somatosensory thresholds, the system automatically calculates the optimal treatment intensity that is moderate and comfortable according to the built-in algorithm. The device then adjusts the output size and stably outputs electrical stimulation pulses of the corresponding intensity through electrode pads worn on the corresponding position of the tibial nerve on the ankle.

[0066] In this embodiment, under postpartum working mode, a basic electrical stimulation pulse with standardized parameters can be generated in response to terminal commands. Through human-computer interaction, the individual's sensory dual threshold is collected, and the exclusive treatment intensity is automatically calculated and matched and output through fixed electrodes. This realizes the combination of standardized basic parameters of electrical stimulation pulse and individualized calibration of output intensity, adapting to the differences in sensory tolerance of different people, and improving the comfort, safety and adaptability of electrical stimulation intervention.

[0067] Furthermore, in some embodiments, step S42, "performing an individualized intensity calibration process, receiving user feedback on the pulsation threshold and tingling threshold via the user terminal," may specifically include: S421. The user terminal sends an intensity adjustment command to the wearable terminal in an incremental manner, so that the output current intensity gradually increases from zero. S422. In response to the user's first trigger of the pulsation confirmation signal, record the current current intensity as the sensing threshold; S423. In response to a subsequent pain confirmation signal triggered by the user, record the current current intensity as the tolerance threshold; S424. Calculate the difference between the sensory threshold and the tolerance threshold, and add a preset percentage value of the difference to the sensory threshold as the treatment intensity value.

[0068] Specifically, the user terminal continuously sends adjustment commands to the wearable terminal to increase the current intensity in an orderly and incremental manner, following a control logic. The wearable terminal initially sets the electrical stimulation output current to a zero reference value. After receiving the incremental commands in sequence, it smoothly and gradually increases the output current in fixed increments. The entire adjustment process is a continuous and gradual process without any jumps or sudden increases in current intensity, ensuring that the human body can gradually adapt to the changes in stimulation.

[0069] As the current intensity gradually increases, when the user first perceives a mild, non-prickly nerve pulsation on their skin, they can actively confirm the sensation by pressing a button or touching a screen on their device, generating a corresponding pulsation confirmation signal. The system identifies this confirmation signal in real time and immediately locks the current output current value of the wearable device, recording this value as the sensory threshold, which serves as the minimum critical intensity for the human body to generate effective sensory feedback.

[0070] After recording the sensory threshold, the user terminal continues to send intensity-increasing commands to the wearable terminal, and the output current continues to increase slightly at the original step size. When the user's sensation reaches the critical point of approaching tingling and producing obvious signs of discomfort, a confirmation operation is triggered again on the user terminal, generating a tingling confirmation signal. After the system captures this signal, it immediately locks the current output current value and records it as the tolerance threshold, serving as the safe upper limit of the stimulation intensity that the human body can withstand.

[0071] The system first calculates the difference between the recorded tolerance threshold and the sensory threshold to obtain the range of values ​​between the two critical intensities. Then, it retrieves the system's built-in fixed preset percentage parameters to calculate the percentage value corresponding to the interval difference. Finally, it adds this percentage value to the basic value of the sensory threshold and calculates a unique value between the comfortable range and the upper limit of tolerance. This value is then determined as the final treatment intensity value for official use.

[0072] This embodiment uses a terminal to control the current to gradually increase from zero, sequentially collecting the user's sensory threshold and tolerance threshold. Then, it automatically calculates the personalized treatment intensity by converting the interval difference according to a preset ratio. The intensity self-calibration is completed entirely by human-computer sensory interaction and a fixed algorithm. This can adapt to the differences in sensory tolerance among different groups of people, and can stably set the working intensity in the optimal range that is both comfortable and effective, avoiding the effects of too low a stimulation intensity or the stinging discomfort caused by too high a stimulation intensity.

[0073] Furthermore, in some embodiments, the postpartum work mode also includes: Obtain the edema status indicator input from the user terminal; If the edema status is marked as present, the neuromuscular electrical stimulation mode is superimposed and activated to output a pulse sequence used to induce passive contraction of the calf muscles; If the edema status is marked as no edema, then guide the user terminal to output pelvic floor muscle coordination training instructions.

[0074] Specifically, during the operation of the postpartum work mode, the system collects edema status markers manually selected and entered by the user from the user's terminal device. This marker is a status indicator used to characterize the user's physical condition and is only used to distinguish whether the user currently has lower limb edema. The user chooses to fill in the marker based on their actual physical feeling. After receiving the marker information, the terminal transmits it to the system as the basis for subsequent branch intervention logic judgments.

[0075] When the system detects edema as indicated by the read edema status marker, it additionally activates a neuromuscular electrical stimulation mode on top of the existing operation. The device generates a pulse sequence with specific timing and waveform characteristics according to preset rules and outputs it outward. This pulse sequence acts on the calf muscle area, directly inducing passive and regular contraction movements of the calf muscles, achieving physiological regulation through passive muscle contraction.

[0076] When the system identifies the edema status as non-edema, it does not activate the neuromuscular electrical stimulation mode. Instead, it sends control commands to the user terminal, driving the terminal to display and output guidance content related to pelvic floor muscle synergistic training. The guidance content can be presented in the form of text descriptions, voice prompts, and action explanations, providing users with standardized pelvic floor muscle training references and behavioral guidance.

[0077] In this embodiment, the postpartum work mode uses intelligent branch judgment based on the edema status indicators entered by the user. It provides exclusive electrical stimulation pulses to induce passive contraction of the calf muscles for people with edema, and pushes pelvic floor muscle training guidance to people without edema. This realizes the postpartum rehabilitation intervention plan to be adapted to the differences in individual physical symptoms, and improves the pertinence and scenario adaptability of postpartum rehabilitation intervention.

[0078] Furthermore, in some embodiments, it also includes: When the gestational age information corresponding to the physiological phase marker reaches the preset late pregnancy start threshold, the angle threshold in the lower limb movement monitoring function will be automatically lowered. The pregnancy safety circuit breaker threshold for a single continuous training session is shortened from the first duration to the second duration. Generate push notifications to remind users to avoid prolonged sitting on the user's terminal interface.

[0079] Specifically, the system associates and matches physiological phase markers with corresponding gestational week information, internally setting a fixed gestational week value as the threshold for determining the start of late pregnancy. The system compares the current user's gestational week with the preset threshold in real time. When the gestational week value reaches and crosses the threshold for the start of late pregnancy, the system automatically lowers the angle threshold used for lower limb movement monitoring without manual parameter adjustment, appropriately relaxing the angle standard for judging qualified ankle joint movements to adapt to changes in joint range of motion caused by physiological changes.

[0080] The system has two pre-stored duration parameters: a first duration applicable to the regular pregnancy period and a second duration specifically designed for late pregnancy, with the second duration being shorter than the first. Upon entering the late pregnancy stage, the system automatically replaces the safety control parameters, proactively reducing the maximum allowed duration for a single, uninterrupted training session from the originally set first duration to the shorter second duration. This constrains the training load per session from a time perspective, preventing fatigue caused by prolonged exercise.

[0081] Once the system determines that a user has entered the late stage of pregnancy, it proactively sends a push notification to the user's terminal, generating and displaying anti-sedentary reminder messages on the terminal's interface. These messages are presented in the form of pop-ups, notifications, and text prompts, periodically or continuously reminding the user to change posture and move around as needed, avoiding discomfort and health risks associated with prolonged sitting.

[0082] This embodiment automatically relaxes the lower limb movement angle attainment standard and compresses the upper limit of safe duration for a single continuous training session after the gestational age enters the late pregnancy stage. At the same time, it generates anti-sedentary push reminders on the terminal, adapting to the physiological characteristics of decreased joint mobility and easy fatigue in late pregnancy. It reasonably controls the training load while adapting to the exercise capacity, and avoids the risk of prolonged sitting through message reminders, thus comprehensively improving the adaptability and safety of exercise intervention in late pregnancy.

[0083] Furthermore, in some embodiments, it also includes: When the user terminal receives a status switching request, it will jump to the information entry interface to obtain the actual delivery date and delivery method information entered by the user; In response to the user completing the information entry and confirming the switch, the cloud server updates the user profile from pregnancy to postpartum and generates an electrical stimulation unlock token; After receiving the electrical stimulation unlock token, the wearable terminal modifies the locally stored physiological phase identifier to the postpartum stage and connects the power supply to the pulse generation circuit.

[0084] Specifically, after a user initiates a request to switch from their current physiological state to a new one on the terminal, the terminal does not directly execute the status change. Instead, it automatically redirects to a specially designed information entry interface. This interface provides entry points for information input and option selection, guiding the user to manually enter the specific date of actual delivery and to independently select the corresponding delivery method. The terminal fully collects the two key pieces of information actively entered by the user—the actual delivery date and delivery method—as preliminary verification data for the subsequent formal status switch, preventing blind one-click switching without information confirmation.

[0085] After the user fills in the delivery date and selects the delivery method, and clicks to confirm the switch on the interface, the terminal uploads the entire set of entered information to the cloud server. Upon receiving the confirmation command and related information, the cloud server synchronously revises the user's personalized physiological profile data stored in the background, officially updating the user's original pregnancy profile label to a postpartum profile label. Simultaneously, the cloud generates an electrical stimulation unlock token with unique authorization attributes according to preset encryption rules. This token serves as a legal authorization credential to unlock the device's electrical stimulation function.

[0086] The cloud-generated electrical stimulation unlock token is sent to the wearable terminal via a communication link. The terminal verifies the validity of the received token. After successful verification, it first rewrites the physiological phase identifier stored in the device's local non-volatile memory, replacing the original pregnancy stage identifier with the postpartum stage identifier. At the same time, the device's internal control unit controls the pulse generation circuit at the hardware level, closing the circuit's power supply loop, connecting the power supply path to the pulse generation circuit, and releasing the previous power supply blockage of the circuit.

[0087] This embodiment sets up a mandatory information entry and verification step when switching physiological states. Based on key childbirth information, the cloud user profile is updated and a unique unlock token is generated. Then, the wearable terminal completes local state rewriting and circuit power supply connection based on the valid token. Through the dual protection logic of secondary information verification and token authorization, accidental touch and switching are effectively prevented, and the timing of unlocking the electrical stimulation function is strictly controlled, which greatly improves the safety and rigor of perinatal physiological state switching and equipment function control.

[0088] Furthermore, in some embodiments, it also includes: When the due date reaches the first preset reminder threshold, a persistent flexible reminder bar will be displayed on the user terminal interface; When the due date reaches the second preset reminder threshold, a full-screen status confirmation pop-up will be forcibly displayed every time the wearable device is connected. When the due date exceeds the third preset reminder threshold and the user has not completed the status switch, the wearable terminal will maintain the pregnancy working mode and prohibit the unlocking of any electrical stimulation function.

[0089] Specifically, the system pre-sets a critical time threshold between the due date and the user's input due date. It continuously compares the system's standard time with the user's entered due date. When the difference reaches this preset threshold, a persistent, flexible notification bar is displayed on the user's terminal interface. This notification bar remains permanently displayed and does not disappear automatically. Its simple and gentle interface does not interfere with normal terminal operation; it serves only to subtly remind the user that their due date is approaching and to inform them in advance about subsequent physiological changes.

[0090] The system sets a second time reminder threshold that is closer to the due date than the first threshold. When the time falls within this threshold range, a connection is established and the reminder rule is triggered. Afterward, every time the user establishes a communication pairing connection between the user terminal and the wearable terminal, a full-screen status confirmation pop-up will immediately appear. This pop-up cannot be closed or skipped with a single click; the user must manually complete the status check and confirmation before accessing the normal device control interface, reinforcing the user's awareness of their physiological stage.

[0091] The system sets a third preset reminder threshold corresponding to the length of time the due date is delayed, serving as the final critical deadline for status updates. If the actual time has exceeded this delay deadline, and the user has still not completed the entire switching process, including entering delivery information and confirming status, the system will not automatically change the device's operating logic. It will continue to allow the wearable terminal to operate in pregnancy mode, while completely blocking all unlocking channels for electrical stimulation functions and refusing to respond to any unlocking commands, thus thoroughly restricting the activation of electrical stimulation functions from the operational logic.

[0092] This embodiment sets up a three-level gradient reminder and control mechanism for the expected delivery date, from mild to severe, to soft, persistent reminders, to mandatory pop-up confirmation for connection, and to continuously lock the device's pregnancy operation mode and block the electrical stimulation unlocking permission in the case of overdue updates. This progressively reminds users to update their physiological status in a timely manner, while effectively preventing the unauthorized activation of functions due to forgetting to switch modes, further enhancing the safety and standardization of perinatal equipment use.

[0093] Furthermore, in some embodiments, it also includes: Before starting training, identity verification is performed through the biometric module integrated into the wearable terminal or through a confirmation pop-up on the user terminal. If the verification result indicates that the user is not the user, the system will enter visitor mode and use preset conservative motion parameters to perform lower limb motion monitoring. Exercise data generated in guest mode is not linked to the main account's health record.

[0094] Specifically, before officially starting the lower limb exercise training process, the system automatically triggers an identity verification process, with two optional methods. The first method relies on the biometric identification module integrated into the wearable terminal to collect corresponding biometric information and compare it with the pre-stored exclusive user characteristic information; the second method uses an identity confirmation pop-up window on the user interaction terminal, where the user manually completes the confirmation operation to verify their identity information and confirm the identity of the current user of the device.

[0095] When the identity verification results are inconsistent, or the user confirmation process is not completed, the system determines that the operation is not performed by the designated user and automatically switches to an independent guest operation mode. In this mode, personalized exercise parameters adapted to the user's physical condition are no longer used. Instead, the system uses pre-set conservative exercise parameters. All lower limb movement monitoring functions are carried out normally using these low-load, low-standard fixed parameters.

[0096] During guest operation mode, the device collects and statistically analyzes various sports-related data, such as the number of valid movements, training duration, and movement achievement status, and stores them only temporarily. This data will not be synchronized to the cloud, nor will it be categorized and bound to the personal health records established by the registered user, ensuring that the sports data corresponding to different user identities are independently separated.

[0097] This embodiment sets up two convenient identity verification methods before training starts, which can quickly identify the identity of the device user. It automatically switches to a safe and conservative guest operation mode for non-user scenarios, while realizing the isolation between guest exercise data and main account health data. This not only ensures the training adaptability and privacy of personal health data for dedicated users, but also meets the needs of safe and compliant use of the device in temporary borrowing scenarios.

[0098] Furthermore, in some embodiments, step S5, "dynamically adjusting the output parameters of the wearable terminal based on motion feedback signals or physiological response data," further includes: S51. Upload the adjusted output parameters and corresponding user status data to the cloud server; Specifically, in step S51, after the equipment completes the on-site dynamic parameter adjustment, it organizes all the adjusted equipment output parameters and simultaneously collects user status data for the current time period. The integrated data is then uploaded to a cloud server via a network transmission channel for centralized storage and archiving, completing the cloud backup of the on-site adjustment data. For example, after adjusting parameters such as vibration alert intensity and monitoring sensitivity based on real-time signals, the equipment uploads this data, along with the user's current physiological stage and physical condition data, to the cloud platform for storage.

[0099] S52. The wearable terminal uploads motion feedback signals or user physiological response data to the user terminal in real time; Specifically, in step S52, throughout the entire normal operation of the device, the wearable terminal continuously collects the generated motion feedback signals and the real-time collected user physiological response data. This data is preferentially transmitted in real-time to the user terminal device it is paired with via short-range communication, completing the short-range relay of the raw monitoring data, without directly uploading it to the cloud. For example, the wearable device simultaneously sends ankle joint movement compliance feedback signals and the body's somatosensory response data to electrical stimulation to the user's daily-used mobile terminal device in real time.

[0100] S53. The user terminal aggregates the data and synchronizes it to the cloud server, then runs a personalized recommendation algorithm through the cloud server to generate optimized output parameters; Specifically, in step S53, after receiving various scattered monitoring data transmitted from the wearable device, the user terminal integrates, sorts, and summarizes the multiple types of data, removes invalid and redundant information, forms a standardized data packet, and then uploads it to the cloud server in batches. The cloud server retrieves the built-in personalized recommendation algorithm, combines the user's long-term accumulated usage data with the adaptation data of similar groups, performs comprehensive calculation and analysis, intelligently infers and generates optimized device output parameters that better fit the user's actual usage needs and physical conditions. For example, after the mobile terminal summarizes all exercise data and body feedback data and uploads them to the cloud, the cloud uses a background algorithm to calculate new device operating parameters with stronger adaptability based on the user's long-term usage habits and physical tolerance.

[0101] S54. The optimized output parameters are sent from the user terminal to the wearable terminal to update the configuration of the pulse generation circuit or vibration feedback; Specifically, in step S54, after the cloud server generates the optimized new output parameters, it first pushes the parameters to the user terminal, and then the user terminal forwards the optimized parameters to the wearable terminal. Upon receiving the new parameter command, the wearable terminal automatically replaces the device's original operating configuration, batch updating and rewriting the operating parameters of the internal pulse generation circuit and the operating configuration of the vibration feedback module, ensuring that the device subsequently performs its functions stably according to the optimized parameters. For example, after the cloud determines more suitable electrical stimulation pulse parameters and exercise-reaching vibration reminder parameters, it sends them to the wearable device via the mobile terminal, and the device automatically updates the pulse circuit operating rules and vibration feedback settings.

[0102] This embodiment achieves hierarchical uploading and aggregation of on-site adjustment parameters and real-time monitoring data. It uses cloud algorithms to complete intelligent and in-depth optimization of parameters, and then sends the optimized parameters back to update the equipment hardware operation configuration. This allows the equipment output parameters to no longer be limited to simple on-site fine-tuning, but to be continuously iterated and upgraded through massive amounts of data, further improving the accuracy of matching between equipment operation parameters and the user's own status.

[0103] It should be understood that, although Figure 2 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 2 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0104] Furthermore, in some embodiments, this application provides a wearable terminal, including: A bandage is worn on the surface projection area of ​​the tibial nerve at the user's ankle. Specifically, the strap serves as the main wearable component of the device. Its overall shape and size are adapted to the contours of the ankle, and it is specifically designed to securely fit the user's ankle in a specific area corresponding to the surface projection of the tibial nerve. The strap is made of a flexible, skin-friendly, and breathable material, and features an adjustable locking mechanism to accommodate ankles of varying sizes. It provides a snug fit, preventing slippage or loosening, and can be worn close to the body for extended periods. Simultaneously, it provides a stable mounting surface for other functional components, ensuring that all sensors and conductive parts remain aligned with their target positions. The strap can be made of highly elastic and breathable fabric in a loop, with Velcro adjustment on the sides. Once worn, it is precisely fixed to the inner side of the ankle along the tibial nerve's path, preventing easy displacement during daily activities and lower limb flexion and extension.

[0105] A control box is mounted on the strap, and the control box encapsulates a microcontroller, a pulse generation circuit, an inertial measurement unit, a Bluetooth communication module, and a power management unit. Specifically, the control box is fixedly installed at the preset position on the strap, and has a closed, integrated encapsulation structure, which can effectively protect the internal circuits from sweat and external impacts. The box integrates multiple core electronic components, including: The microcontroller, as the core computing and control hub of the entire device, is responsible for receiving various sensor data, parsing external control commands, determining the device's operating mode, controlling circuit on / off, performing data operations and logical judgments, and coordinating the collaborative work of all other functional units.

[0106] The pulse generation circuit is specifically designed to generate electrical stimulation pulse signals with different frequencies, pulse widths, and output intensities. The pulse output pattern can be adjusted according to the operating mode and set parameters, making it the core hardware circuit for realizing electrical stimulation intervention.

[0107] The inertial measurement unit integrates acceleration and angular velocity sensing functions and is specifically responsible for collecting three-dimensional motion data during ankle joint movement in real time, providing raw data sources for lower limb movement posture recognition and action determination.

[0108] The Bluetooth communication module establishes a wireless communication bridge between the wearable terminal and the external user terminal, enabling wireless data interaction such as status data uploading, control command reception, physiological identifier synchronization, optimization parameter distribution, and unlock token transmission.

[0109] The power management unit is responsible for the overall power supply management of the entire device, including functions such as stable voltage output, real-time monitoring of remaining power, safe charging and discharging control, and low-power mode switching. It provides a stable and safe power supply to all electronic units inside the box, ensuring the device operates stably for extended periods. For example, the compact, sealed control box is sewn and fixed to the outside of the strap, with internal circuits arranged in sections. It is comfortable to wear without noticeable discomfort. Under power management, each internal circuit unit operates stably, simultaneously completing data acquisition, signal generation, and wireless communication.

[0110] At least two electrode pads are embedded inside the strap and electrically connected to the pulse generating circuit for application to the skin surface to output electrical stimulation pulses; Specifically, the device is equipped with no fewer than two electrode pads, which are embedded in the inner surface of the bandage close to the skin. All electrode pads are electrically connected to the pulse generation circuit inside the control box via built-in wiring. When worn, the electrode pads adhere tightly to the skin, smoothly transmitting various electrical stimulation pulses generated by the pulse generation circuit to the designated target area for targeted electrical stimulation. The electrode pads are made of soft, skin-friendly materials with excellent conductivity, minimizing discomfort even after prolonged use. The two conductive silicone electrode pads are embedded in the inner side of the bandage, corresponding to the tibial nerve and calf muscle points, respectively. Once the circuit is connected, the electrical stimulation signal can be precisely transmitted to the target tissue location.

[0111] The microcontroller is configured to perform the steps executed by the wearable terminal in the perinatal multimodal collaborative intervention method as described above; Specifically, the microcontroller has a complete operating program pre-programmed inside, specifically designed to execute all the operations that the wearable terminal needs to complete independently in the aforementioned intervention methods. It can autonomously complete all terminal-side actions, including reading physiological phase markers, locking the electrical stimulation function during pregnancy, unlocking the electrical stimulation function after childbirth, collecting and analyzing motion data, determining the effectiveness of movements, adjusting local parameters, controlling safety protection, responding to external commands, and updating optimized parameters, automatically completing the entire process according to predetermined logic.

[0112] This embodiment adopts an integrated strap-on wearable structure, with an integrated control box that integrates all core hardware modules. Combined with a fit-fitting electrode structure, it is easy to wear and provides precise positioning. The hardware layout is compact and reasonable. Through the core main control unit, the entire perinatal intervention process can be fully realized. It can accurately collect lower limb movement data to complete movement monitoring and guidance, and can output targeted electrical stimulation pulses as needed to carry out rehabilitation intervention. The hardware structure and operating logic are highly adapted to the phased use needs of the perinatal period, improving ease of use and functional integration.

[0113] Furthermore, such as Figure 3As shown, in some embodiments, this application provides a perinatal multimodal collaborative intervention system, including: Wearable terminals as described above; The user terminal is used to receive status information input by the user, display the guidance interface, record the urination diary and control the stimulation parameters, and communicate with the wearable terminal and the cloud server. Cloud servers are used to store user data and run personalized recommendation algorithms; The system is configured to perform the perinatal multimodal collaborative intervention method as described above.

[0114] Specifically, the wearable terminal is the main hardware component of the entire system, employing an integrated ankle-worn structure and secured with straps. Internally, it integrates a microcontroller, pulse generation circuit, inertial measurement unit, Bluetooth communication module, and power management unit, along with embedded electrode pads. In the overall system architecture, it primarily handles the front-end physical layer execution, independently performing practical tasks such as real-time lower limb motion data acquisition, prenatal electrical stimulation function locking, postpartum targeted electrical stimulation pulse output, local motion recognition and judgment, safe training control, and local parameter storage and updates. Simultaneously, it facilitates close-range data and command interaction through its own communication module, serving as the core execution carrier for motion monitoring and electrical stimulation intervention.

[0115] The user terminal serves as the system's human-computer interaction hub. It can be used with smartphones, tablets, or other smart portable devices, equipped with a dedicated application and possessing several core practical functions. These include: 1) Information input, capable of receiving manually entered personal status information such as gestational age, due date, postpartum days, delivery information, and edema status; 2) Interface display, capable of loading and playing exercise demonstration videos, pop-up status confirmation windows, pushing sedentary reminders, and displaying various rehabilitation training guidance interfaces; 3) Data recording, with a dedicated entry point allowing users to independently fill in, organize, and save urination-related diary entries; 4) Parameter adjustment, allowing users to manually adjust relevant stimulation parameters as needed; and 5) Two-way communication relay, enabling close-range communication with wearable terminals and simultaneously establishing a data link with a cloud server via the network to complete interactive tasks such as command issuance, raw data relay, and information synchronization.

[0116] The cloud server serves as the data storage and intelligent computing center for the entire system, operating through a stable backend service architecture. On one hand, it possesses large-capacity data storage capabilities, uniformly collecting and managing various data such as physiological status information, exercise training records, electrical stimulation intervention records, personal health records, and equipment operating parameters from all users, achieving long-term data preservation and categorized archiving. On the other hand, it is equipped with dedicated computing programs that stably run personalized recommendation algorithms. These programs can integrate long-term usage data from individual users and group adaptation data to perform in-depth data processing tasks such as intelligent optimization of intervention parameters and adjustment of rehabilitation plans, providing intelligent optimization basis for front-end devices.

[0117] The entire system utilizes three types of devices working together in a coordinated manner to fully implement the entire perinatal intervention process. From information entry and identification of physiological stages, to the front-end wearable devices performing monitoring and intervention in different modes, to the terminal data aggregation and uploading, and finally the cloud completing intelligent optimization and sending back updated parameters, the entire intervention process is automated in a closed loop.

[0118] Furthermore, embodiments of this application also provide an electronic device, such as... Figure 4 As shown, it illustrates a structural schematic diagram of the electronic device involved in the embodiments of this application, specifically: The electronic device may include components such as a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will understand that... Figure 4 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein: The processor 301 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in the memory 302, and by calling data stored in the memory 302, thereby providing overall monitoring of the electronic device. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 301.

[0119] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and perinatal multimodal collaborative intervention methods by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device, etc. In addition, the memory 302 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0120] The electronic device also includes a power supply 303 that supplies power to various components. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 303 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0121] The electronic device may also include an input unit 304, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0122] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 301 in the electronic device loads the executable files corresponding to the processes of one or more applications into the memory 302 according to the following instructions, and the processor 301 runs the applications stored in the memory 302 to realize various functions, as follows: The system acquires user status information from the user terminal, including at least physiological phase identifiers to distinguish between the pregnancy and postpartum stages. Based on these physiological phase identifiers, it determines and executes a working mode for the wearable terminal. The working modes include at least a pregnancy working mode and a postpartum working mode. In the pregnancy working mode, it locks the electrical stimulation output function of the wearable terminal and activates the lower limb motion monitoring function based on inertial sensor data to generate motion feedback signals. In the postpartum working mode, it unlocks the electrical stimulation output function of the wearable terminal and activates it to output electrical stimulation pulses, while simultaneously collecting user physiological response data. Based on the motion feedback signals or physiological response data, it dynamically adjusts the output parameters of the wearable terminal.

[0123] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0124] This application embodiment automatically matches the corresponding working mode according to different physiological phases of the perinatal period, realizes zoned management and differentiated intervention for different physiological stages of the perinatal period, meets the needs of postpartum rehabilitation intervention while ensuring the safety of use during pregnancy, and realizes dynamic adaptive adjustment of intervention output parameters based on the collected feedback data, thereby improving the matching degree between rehabilitation intervention parameters and the user's real-time physiological state.

[0125] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0126] Therefore, embodiments of this application provide a storage medium storing multiple instructions that can be loaded by a processor to execute steps in any of the perinatal multimodal collaborative intervention methods provided in embodiments of this application. For example, the instructions can execute the following steps: The system acquires user status information from the user terminal, including at least physiological phase identifiers to distinguish between the pregnancy and postpartum stages. Based on these physiological phase identifiers, it determines and executes a working mode for the wearable terminal. The working modes include at least a pregnancy working mode and a postpartum working mode. In the pregnancy working mode, it locks the electrical stimulation output function of the wearable terminal and activates the lower limb motion monitoring function based on inertial sensor data to generate motion feedback signals. In the postpartum working mode, it unlocks the electrical stimulation output function of the wearable terminal and activates it to output electrical stimulation pulses, while simultaneously collecting user physiological response data. Based on the motion feedback signals or physiological response data, it dynamically adjusts the output parameters of the wearable terminal.

[0127] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0128] The storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0129] Since the instructions stored in the storage medium can execute the steps of any of the perinatal multimodal collaborative intervention methods provided in the embodiments of this application, the beneficial effects that any of the perinatal multimodal collaborative intervention methods provided in the embodiments of this application can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0130] The above provides a detailed description of a perinatal multimodal collaborative intervention method and related equipment provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A perinatal multimodal collaborative intervention method, characterized in that, include: Obtain user status information from the user terminal, wherein the user status information includes at least physiological phase identifiers used to distinguish between the pregnancy stage and the postpartum stage; Based on the physiological phase identifiers, a working mode for the wearable terminal is determined and executed; the working mode includes at least a pregnancy working mode and a postpartum working mode. In the pregnancy working mode, the electrical stimulation output function of the wearable terminal is locked, and the lower limb motion monitoring function based on inertial sensing data is activated to generate motion feedback signals. In the postpartum working mode, the electrical stimulation output function of the wearable terminal is unlocked and turned on to output electrical stimulation pulses, while collecting the user's physiological response data. The output parameters of the wearable terminal are dynamically adjusted based on the motion feedback signal or the physiological response data.

2. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, Also includes: In the pregnancy work mode, video guidance information is output through the user terminal to guide the user to perform lower limb exercises; the video guidance information includes a demonstration of ankle pump exercises and rhythmic audio prompts.

3. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, The electrical stimulation output functions include transcutaneous tibial nerve stimulation and / or neuromuscular electrical stimulation.

4. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, The acquisition of user status information of the user terminal includes: The user terminal receives gestational age information, postpartum days information, or expected delivery date information input by the user. The physiological phase identifier is automatically generated by comparing the current date with the expected delivery date or postpartum days information. The physiological phase identifier is synchronized to the microcontroller of the wearable terminal via Bluetooth communication protocol and stored in its non-volatile memory.

5. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, The step of determining and executing the working mode for the wearable terminal based on the physiological phase identifier includes: When the wearable terminal's microcontroller is powered on or receives an instruction, it reads the locally stored physiological phase identifier. If the physiological phase is identified as the pregnancy stage, the microcontroller cuts off the power supply to the pulse generation circuit and invalidates all electrical stimulation-related application programming interface calls. If the physiological phase is identified as the postpartum stage, the microcontroller connects the power supply to the pulse generation circuit and opens the configuration interface for the electrical stimulation parameters.

6. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, In the pregnancy working mode, the electrical stimulation output function of the wearable terminal is locked, and the lower limb motion monitoring function based on inertial sensing data is activated to generate motion feedback signals, including: The wearable terminal uses an inertial measurement unit built into it to collect triaxial acceleration and angular velocity data of the ankle joint in real time. The triaxial acceleration and angular velocity data are fused and attitude calculations are performed to extract the pitch angle and its rate of change in the sagittal plane. Based on the pitch angle and its rate of change, the dorsiflexion and plantarflexion movements of the ankle joint are identified, and it is determined whether a single movement reaches a preset angle threshold. When a single action is determined to reach the angle threshold, the motion feedback signal is generated, and the vibration motor of the wearable terminal is driven to output a tactile cues.

7. The perinatal multimodal collaborative intervention method according to claim 6, characterized in that, The process of identifying ankle dorsiflexion and plantar flexion movements based on the pitch angle and its rate of change, and determining whether a single movement reaches a preset angle threshold, includes: Set up a dynamic zeroing process, and collect the average pitch angle within a preset time before the training starts as the relative zero baseline; The sliding window method is used to monitor the magnitude of the pitch angle deviation from the relative zero reference line in real time; When a positive deviation of the pitch angle is detected and the peak angle is greater than or equal to the extension angle threshold, it is determined as a valid extension action. When a negative deviation in pitch angle is detected and the absolute peak angle is greater than or equal to the plantar flexion angle threshold, it is determined as a valid plantar flexion action.

8. The perinatal multimodal collaborative intervention method according to claim 6, characterized in that, The aforementioned work mode during pregnancy also includes: Count the number of valid actions within a preset duration and calculate the action frequency; The action frequency is compared with a preset frequency threshold range. If the action frequency is lower than the lower limit of the preset frequency threshold range or higher than the upper limit of the preset frequency threshold range, a frequency correction prompt signal is generated. When the cumulative duration of a single continuous training session reaches the pregnancy safety circuit breaker threshold, or when motion distortion is detected to continuously exceed the distortion duration threshold, the current training will be automatically paused and a training end command will be sent to the user terminal.

9. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, In the postpartum working mode, the wearable terminal's electrical stimulation output function is unlocked and activated to output electrical stimulation pulses, while simultaneously collecting the user's physiological response data, including: In response to a start command sent by a user terminal, the pulse generation circuit of the wearable terminal generates a basic electrical stimulation pulse with a preset frequency and pulse width. Perform an individualized intensity calibration process and receive user feedback on the pulsation and stinging thresholds through the user terminal; The treatment intensity value is automatically calculated based on the pulsation threshold and the tingling threshold, and the electrical stimulation pulse is output to the electrode patch applied to the surface projection area of ​​the tibial nerve based on the treatment intensity value.

10. The perinatal multimodal collaborative intervention method according to claim 9, characterized in that, The individualized intensity calibration process involves receiving pulsation and stinging thresholds from the user via the user terminal, including: The user terminal sends intensity adjustment commands to the wearable terminal in an incremental manner, causing the output current intensity to gradually increase from zero. In response to the user's first trigger of the pulsation confirmation signal, the current current intensity is recorded as the sensing threshold; In response to the user's subsequent confirmation signal of stinging sensation, the current current intensity is recorded as the tolerance threshold; Calculate the difference between the sensory threshold and the tolerance threshold, and add a preset percentage value of the difference to the sensory threshold to obtain the treatment intensity value.

11. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, The postpartum work mode also includes: Obtain the edema status indicator input from the user terminal; If the edema status is identified as edema, then the neuromuscular electrical stimulation mode is superimposed and activated to output a pulse sequence for inducing passive contraction of the calf muscles; If the edema status is marked as no edema, the user terminal is guided to output pelvic floor muscle coordination training instructions.

12. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, Also includes: When the gestational age information corresponding to the physiological phase identifier reaches the preset late pregnancy start threshold, the angle threshold in the lower limb movement monitoring function is automatically lowered. The pregnancy safety circuit breaker threshold for a single continuous training session is shortened from the first duration to the second duration. Generate push notifications to remind users to avoid prolonged sitting on the user's terminal interface.

13. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, Also includes: When the user terminal receives a status switching request, it will jump to the information entry interface to obtain the actual delivery date and delivery method information entered by the user; In response to the user completing the information entry and confirming the switch, the cloud server updates the user profile from pregnancy to postpartum and generates an electrical stimulation unlock token; After receiving the electrical stimulation unlock token, the wearable terminal modifies the locally stored physiological phase identifier to the postpartum stage and connects the power supply to the pulse generation circuit.

14. The perinatal multimodal collaborative intervention method according to claim 13, characterized in that, Also includes: When the due date reaches the first preset reminder threshold, a persistent flexible reminder bar will be displayed on the user terminal interface; When the due date reaches the second preset reminder threshold, a full-screen status confirmation pop-up will be forcibly displayed every time the wearable device is connected. When the due date exceeds the third preset reminder threshold and the user has not completed the state switch, the wearable terminal maintains the pregnancy working mode and prohibits the unlocking of any electrical stimulation function.

15. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, Also includes: Before starting training, identity verification is performed through the biometric module integrated into the wearable terminal or through a confirmation pop-up on the user terminal. If the verification result indicates that the user is not the user, the system enters visitor mode and performs the lower limb movement monitoring function using preset conservative movement parameters. The exercise data generated in the guest mode is not associated with the main account's health record.

16. The perinatal multimodal collaborative intervention method according to claim 1, characterized in that, The step of dynamically adjusting the output parameters of the wearable terminal based on the motion feedback signal or the physiological response data further includes: Upload the adjusted output parameters and corresponding user status data to the cloud server; The wearable terminal uploads motion feedback signals or user physiological response data to the user terminal in real time; The user terminal aggregates the data and synchronizes it to the cloud server, which then runs a personalized recommendation algorithm to generate optimized output parameters. The optimized output parameters are sent from the user terminal to the wearable terminal to update the configuration of the pulse generation circuit or vibration feedback.

17. A wearable terminal, characterized in that, include: A bandage is worn on the surface projection area of ​​the tibial nerve at the user's ankle. A control box is mounted on the strap, and the control box encapsulates a microcontroller, a pulse generation circuit, an inertial measurement unit, a Bluetooth communication module, and a power management unit. At least two electrode pads are embedded inside the strap and electrically connected to the pulse generating circuit for application to the skin surface to output electrical stimulation pulses; The microcontroller is configured to perform the steps of the method as described in any one of claims 1 to 16, which are performed by the wearable terminal.

18. A perinatal multimodal collaborative intervention system, characterized in that, include: The wearable terminal as described in claim 17; The user terminal is used to receive status information input by the user, display the guidance interface, record the urination diary and control the stimulation parameters, and communicate with the wearable terminal and the cloud server. Cloud servers are used to store user data and run personalized recommendation algorithms; The system is configured to perform the perinatal multimodal collaborative intervention method as described in any one of claims 1 to 16.

19. An electronic device, characterized in that, include: A memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the perinatal multimodal collaborative intervention method as described in any one of claims 1 to 16.

20. A storage medium, characterized in that, The computer program is stored that can be loaded by a processor and executed as described in any one of claims 1 to 16.

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