Intelligent dynamic stability assistance system

CN224735503UActive Publication Date: 2026-09-11CENTRAL INTEGRATED MEDICAL MANAGEMENT (NANJING) CO LTD
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Patent Information

Application Number
CN202521315945.2
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2026-09-11
Estimated Expiration
2035-06-25

AI Technical Summary

Technical Problem

[0003]1、支撑力调节滞后:传统支撑装置多为固定高度或手动调节结构,无法实时响应患者肢体压力变化,易导致患侧肢体承受异常负荷,增加二次损伤风险

Benefits of technology

[0017](1)通过阵列式压力传感器与控制单元的联动,实现患侧肢体支撑力的毫秒级监测与反馈,超过阈值时自动报警,避免过度负荷,增设穿戴式鞋套承重传感器,与臀部压力传感器形成联动,精准量化单腿负重,填补下肢负荷监测空白。

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Abstract

The utility model discloses intelligent dynamic stability auxiliary system, including mobile support platform, pressure feedback module, side position support subassembly, wear formula weight monitoring subassembly and data display control module, wherein, mobile support platform includes base, vertically installs adjustable height lift column on base and is connected with the hip support platform of hip support platform top end through the inclination adjustment mechanism, and the base bottom is equipped with the universal wheel of brake function, pressure feedback module includes the pressure sensor of being located in the hip support platform upper surface affected side contact area, control unit and alarm module, and control unit real -time monitoring pressure data and triggers alarm, and side position support subassembly includes the stand column support of being fixed in mobile support platform side and is set up in the handrail of stand column support top. Therefore, through adjustable height mobile support platform, accurate pressure feedback technology and dynamic attitude simulation mechanism, realize the real -time stable control of affected side limb support force, and the safety and effectiveness of rehabilitation training are promoted.
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Description

Technical Field

[0001] This utility model relates to the technical field of medical rehabilitation equipment, and in particular to an intelligent dynamic stability auxiliary system. Background Technology

[0002] In the field of neurorehabilitation, standing training and joint stability training are important components of rehabilitation for patients with unilateral support dysfunction (such as stroke patients and spinal cord injury patients). Existing assistive training devices generally suffer from the following technical deficiencies:

[0003] 1. Delayed adjustment of support force: Traditional support devices are mostly fixed in height or manually adjustable, which cannot respond to changes in the pressure on the patient's limb in real time. This can easily lead to abnormal load on the affected limb and increase the risk of secondary injury.

[0004] 2. Limited Posture Simulation: Existing equipment typically uses a fixed horizontal support plane, making it difficult to simulate the dynamic tilting posture of a person standing (such as the process of center of gravity shift). This results in a discrepancy between the training scenario and the actual physiological state, affecting the rehabilitation effect.

[0005] 3. Lack of pressure monitoring: Existing equipment generally does not have pressure monitoring components, making it impossible to obtain real-time support force data of the affected limb. This makes it impossible to determine whether the load on the affected side is excessive during training, making it difficult to achieve dynamic adjustment of support force and providing data support for personalized rehabilitation assessment.

[0006] Therefore, there is an urgent need for an intelligent auxiliary system with real-time pressure feedback, dynamic posture simulation and automatic adjustment functions to solve the technical problems of lagging support force adjustment, single posture simulation and lack of pressure monitoring in the existing technology. Utility Model Content

[0007] This utility model aims to at least partially solve one of the technical problems in the related art.

[0008] Therefore, the purpose of this utility model is to propose an intelligent dynamic stability assist system, which achieves real-time stable control of the supporting force of the affected limb through a highly adjustable mobile support platform, precise pressure feedback technology and dynamic posture simulation mechanism, thereby improving the safety and effectiveness of rehabilitation training.

[0009] To achieve the above objectives, this utility model proposes an intelligent dynamic stability assistance system comprising a mobile support platform, a pressure feedback module, a lateral support component, a wearable weight-bearing monitoring component, and a data display and control module. The mobile support platform includes a base, a height-adjustable lifting column vertically mounted on the base, and a hip support platform connected to the top of the lifting column via a tilt adjustment mechanism. The base has casters with brakes at its bottom. The pressure feedback module includes a pressure sensor, a control unit, and an alarm module located on the affected side contact area of ​​the hip support platform. The control unit monitors pressure data in real time and triggers an alarm. The lateral support component includes a column support fixed to the side of the mobile support platform and a handrail located on the top of the column support. A rotatable handrail is located on the outer side of the mobile support platform, mounted on the platform via a rotating shaft, and can rotate towards the affected side and lock for supporting the unaffected hand. The wearable weight-bearing monitoring component includes two wearable shoe covers mounted on the base. Weight-bearing sensors are embedded inside the shoe covers and electrically connected to the control unit for collecting single-leg weight-bearing data. The data display and control module includes a PLC controller and a display screen. The controller is connected to the control unit, and the display screen is installed on the outside of the mobile support platform to display pressure, load and tilt angle parameters in real time.

[0010] This invention's intelligent dynamic stability assist system, through a highly adjustable mobile support platform, precise pressure feedback technology, and a dynamic posture simulation mechanism, achieves real-time stable control of the supporting force of the affected limb, thereby improving the safety and effectiveness of rehabilitation training.

[0011] In addition, the intelligent dynamic stability assist system proposed in the application may also have the following additional technical features:

[0012] Specifically, the lifting column is a multi-stage telescopic structure, including an electric drive device and a locking buckle that are communicatively connected to the control unit.

[0013] Specifically, the tilt adjustment mechanism is a pneumatic push rod assembly, with its two ends hinged to the top of the lifting column and the bottom surface of the hip support platform, respectively. The tilt angle is controlled by adjusting the stroke of the pneumatic push rod through the control unit, so that the hip support platform can tilt within the range of 0°-30°.

[0014] Specifically, the pressure sensors are arranged in an array in the contact area of ​​the affected side of the hip support platform and are aligned with the center of gravity projection area of ​​the affected limb. The load-bearing sensors are distributed in the contact area of ​​the sole of the foot when wearing shoe covers. Both are electrically coupled to the control unit.

[0015] Specifically, the PLC controller has a built-in data processing module that can convert real-time data from pressure sensors and load cells into visual parameters and display them on a screen.

[0016] The advantages of this invention compared to existing technologies are as follows:

[0017] (1) Through the linkage of array-type pressure sensors and control unit, the millisecond-level monitoring and feedback of the supporting force of the affected limb is realized. When the threshold is exceeded, an alarm is automatically triggered to avoid excessive load. Wearable shoe cover load-bearing sensor is added to form a linkage with hip pressure sensor to accurately quantify the load of a single leg and fill the gap in lower limb load monitoring.

[0018] (2) The electric lifting column and pneumatic tilting mechanism can automatically adjust the support height and tilt angle according to the preset program or real-time pressure data, adapting to patients of different heights and diverse training scenarios. The PLC controller integrates pressure, load, and tilt angle data, displays quantitative indicators in real time, and automatically alarms when abnormal, improving training safety and data interaction efficiency.

[0019] (3) The 0°-30° tilt range covers the typical posture of the human body from the initial standing stage to the balance stage, helping patients to rebuild proprioception and center of gravity control. The side support board can be rotated and locked to the affected side, providing auxiliary support for the healthy hand of hemiplegic patients and solving the problem that traditional equipment cannot guide the center of gravity transfer and is easy to tip over.

[0020] Additional aspects and advantages of this invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this utility model will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0022] Figure 1 This is a perspective view of an intelligent dynamic stability auxiliary system according to an embodiment of the present invention;

[0023] Figure 2 This is a perspective view of an intelligent dynamic stability auxiliary system according to another embodiment of the present invention;

[0024] Figure 3 This is a schematic diagram of a wearable load monitoring component of an intelligent dynamic stability assist system according to another embodiment of the present invention.

[0025] Figure 4 This is a schematic diagram of the control connection of an intelligent dynamic stability auxiliary system according to an embodiment of the present invention.

[0026] As shown in the figure: 1. Mobile support platform; 2. Pressure feedback module; 3. Lateral support component;

[0027] 101. Base; 102. Lifting column; 103. Tilt adjustment mechanism; 104. Hip support platform;

[0028] 201. Pressure sensor; 202. Control unit; 203. Alarm module;

[0029] 301. Column support; 302. Handrail; 303. Handrail board;

[0030] 4. Wearable load monitoring component; 401. Shoe cover; 402. Load sensor;

[0031] 5. Data display and control module; 501. PLC controller; 502. Display screen. Detailed Implementation

[0032] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention. Rather, the embodiments of the present invention include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0033] The intelligent dynamic stability auxiliary system of this utility model embodiment will now be described with reference to the accompanying drawings.

[0034] like Figures 1-4 As shown in the figure, the intelligent dynamic stability assistance system of this utility model has a core structure consisting of a mobile support platform 1, a pressure feedback module 2, a lateral support component 3, a wearable load monitoring component 4, and a data display and control module 5. The components work together through mechanical connections and electrical control. The specific workflow is as follows:

[0035] Among these, it is understandable that: 1. The overall system architecture and component relationships

[0036] Mobile support platform 1: The position is moved by the braked casters at the bottom of the base 101. The lifting column 102 is connected to the hip support platform 104 through the tilt adjustment mechanism 103 to achieve height and tilt angle adjustment.

[0037] Lateral support component 3: The top handrail 302 of the column bracket 301 cooperates with the rotatable handrail 303 to provide lateral support for the patient. The handrail 303 is installed on the outside of the mobile support platform 1 via a rotating shaft and can be rotated toward the affected side and locked.

[0038] Wearable load monitoring component 4: The wearable shoe cover 401 on the base 101 has a built-in load sensor 402, which is electrically connected to the control unit 202 to collect single-leg load data in real time.

[0039] Data display control module 5: PLC controller 501 communicates with control unit 202 to visualize pressure, load, and tilt angle data through display screen 502.

[0040] II. Detailed Workflow

[0041] (1) Initialization phase: equipment debugging and patient preparation

[0042] 1. Positioning of the mobile support platform:

[0043] The trainer pushes the equipment and moves it to the appropriate position using the braked casters at the bottom of the base 101. The trainer then presses the brake to lock the casters, ensuring the stability of the base 101.

[0044] 2. Initial settings for altitude and attitude:

[0045] The control unit 202 sends a command to the tilt adjustment mechanism 103 to adjust the hip support platform 104 to a horizontal state (0° tilt).

[0046] The control unit 202 drives the electric drive device of the lifting column 102 to adjust the hip support platform 104 to the target height (such as 90cm from the ground) and fix it by locking buckle.

[0047] 3. Wearable load monitoring component activated:

[0048] The patient puts both feet into the shoe covers 401 on the base 101. The load-bearing sensor 402 inside the shoe cover 401 establishes an electrical connection with the control unit 202 and begins initial calibration to ensure the accuracy of single-leg load data (such as 30kg on each foot under a weight of 60kg).

[0049] 4. Initialize the data display and control module:

[0050] The PLC controller 501 communicates with the control unit 202 to receive initial data from the pressure sensor 201 and the load sensor 402. The display screen 502 displays "System Ready" and default parameters (such as tilt angle 0°, load 0kg).

[0051] (2) Training phase: Multi-component collaborative work

[0052] 1. Dynamic attitude simulation and load monitoring:

[0053] Tilt adjustment: The control unit 202 drives the pneumatic push rod assembly of the tilt adjustment mechanism 103 to tilt the hip support platform 104 within the range of 0°-30° (such as the initial setting of 5°), simulating the shift of the human body's center of gravity when standing.

[0054] Weight-bearing data acquisition: The weight-bearing sensor 402 of the shoe cover 401 collects the weight-bearing data of a single leg in real time (such as the affected leg bearing 25kg), and transmits it to the control unit 202 via electrical connection.

[0055] 2. Visualization and feedback of stress and load data:

[0056] The control unit 202 sends the data from the hip pressure sensor 201 and the load-bearing sensor 402 to the PLC controller 501, which converts the data into visual parameters (such as "left lower limb load 28kg" and "tilt angle 15°") through the data processing module and displays them in real time on the display screen 502.

[0057] If the load sensor 402 detects that the load on a single leg exceeds a preset threshold (e.g., 30kg), the PLC controller 501 can trigger the display screen 502 to highlight the alarm area, prompting the trainer to make adjustments.

[0058] 3. Auxiliary support for the rotatable handrail:

[0059] When the hip support platform 104 tilts or the patient leans to the affected side, the trainer can manually rotate the rotatable handrail 303 on the outside of the movable support platform 1 around the rotation axis to the affected side (rotation angle 0°-90°), and fix it through the electromagnetic locking mechanism to provide support for the patient's healthy hand and assist in completing the transfer of center of gravity.

[0060] (3) End stage: Equipment reset and data storage

[0061] 1. Attitude and altitude reset:

[0062] The control unit 202 sends a command to the tilt adjustment mechanism 103 to adjust the hip support platform 104 back to the horizontal state (0°) and lock the stroke of the pneumatic push rod assembly.

[0063] The control unit 202 drives the lifting column 102 to descend, lowering the hip support platform 104 to a low position to facilitate the patient's getting up.

[0064] 2. Data logging and device standby:

[0065] The PLC controller 501 stores the pressure, load, and tilt angle data during the training process. The display screen 502 displays "Training completed," the device enters standby mode, and the universal wheel brakes are released for easy movement and storage.

[0066] In one embodiment of this utility model, such as Figures 1-4 As shown, the lifting column 102 is a multi-stage telescopic structure, including an electric drive device and a locking buckle that are communicatively connected to the control unit 202.

[0067] It is understood that the lifting column 102 is vertically installed above the base 101 and consists of at least two nestable columnar components (such as inner and outer columns). The columns are connected by linear guides or sliding sleeves to ensure the smoothness of the extension and retraction process. For example, when a patient needs to change from a sitting to a standing training posture, the multi-level columns can unfold layer by layer, raising the hip support platform 104 to the target height (such as 90cm from the ground) to meet the support height requirements of patients of different heights (such as children to adults). After training, the columns retract layer by layer, reducing the overall height of the equipment for easy storage.

[0068] The electric drive unit is integrated inside the lifting column 102, including a DC servo motor and a lead screw and nut mechanism. The control unit 202 sends commands to the electric drive unit via wired communication, such as "rise 15cm" or "lower 8cm". Taking the lead screw drive as an example, the motor drives the lead screw to rotate, which in turn moves the nut along the lead screw axis. The nut is fixedly connected to the inner column, thereby realizing the vertical extension and retraction of the column. During this process, an encoder installed on the motor shaft provides real-time displacement data to the control unit 202, forming a closed-loop control to ensure the accuracy of height adjustment.

[0069] The locking buckle is located at the connection interface between adjacent columns and employs an electromagnetic locking structure. When the lifting column 102 is adjusted to the target height, the control unit 202 sends a locking command, energizing the electromagnetic coil to magnetically attach the latch to the slot, locking the multi-stage columns into a rigid unit. Even if the electric drive device loses power, the locking buckle can still maintain a constant height through mechanical force, preventing patient imbalance due to accidental power outages and meeting the safety standards for medical equipment.

[0070] It should be noted that the multi-stage telescopic structure, electric drive device, and locking buckle of the lifting column 102 are all existing technologies in this field. In the prior art, such lifting columns are widely used in medical care beds, industrial lifting platforms, and other scenarios, and their typical components include:

[0071] Multi-stage telescopic column: Made of steel, it achieves a large stroke height adjustment through a nested design;

[0072] Electric drive assembly: includes a motor, reducer, and transmission screw, which realizes automated lifting through an electronic control system;

[0073] Mechanical locking devices, such as ball buckles, pin locks, or hydraulic locking mechanisms, are used to fix the position of the column.

[0074] In one embodiment of this utility model, such as Figures 1-4As shown, the tilt adjustment mechanism 103 is a pneumatic push rod assembly, with its two ends hinged to the top of the lifting column 102 and the bottom of the hip support platform 104, respectively. The control unit 202 adjusts the stroke of the pneumatic push rod to control the tilt angle, so that the hip support platform 104 tilts within the range of 0°-30°.

[0075] Among these, it is understandable that: 1. The mechanical connection of the pneumatic actuator assembly

[0076] The pneumatic push rod assembly of the tilt adjustment mechanism 103 is connected at both ends to the top of the lifting column 102 and the bottom of the hip support platform 104 via hinge structures.

[0077] The lower hinge point is located on the side of the top of the lifting column 102. It is connected to the cylinder of the pneumatic push rod by a pin, allowing the cylinder to swing in the vertical plane.

[0078] Upper hinge point: Located at a preset position on the bottom surface of the hip support platform 104 (such as the center of the affected side area), it is connected to the piston rod end of the push rod through a pin to ensure that the support platform can rotate around the top of the lifting column 102 when the push rod extends or retracts.

[0079] 2. Instruction-driven logic of control unit 202

[0080] Angle setting: The trainer inputs the target tilt angle (e.g., 15°) through the human-machine interface of the control unit 202. The control unit 202 calculates the required extension stroke of the pneumatic push rod based on the built-in geometric model (the mapping relationship between the push rod stroke and the tilt angle). (For example, when the support platform length is 40cm, the push rod stroke corresponding to a 15° tilt is 10.4cm.)

[0081] Pneumatic circuit control: Control unit 202 sends an electrical signal to the solenoid valve of the pneumatic push rod to open the air source (compressed air tank) and supply air to the cylinder.

[0082] Forward tilt (affected side lowered): The piston rod extends, pushing the front end of the hip support platform 104 down and the rear end tilts up around the top of the lifting column 102, forming a forward tilt angle;

[0083] Backward tilt (affected side raised): The piston rod retracts, pulling the front end of the hip support platform 104 upward and the rear end downward, forming a backward tilt angle.

[0084] Closed-loop feedback: The pneumatic actuator has a built-in displacement sensor (magnetostrictive displacement gauge) that feeds back the stroke data to the control unit 202 in real time. When the measured stroke reaches the target value, the control unit 202 sends a signal to close the solenoid valve and lock the current tilt angle.

[0085] 3. Angle adjustment scenario in dynamic training

[0086] Progressive training: In the early stages of balance training, the control unit 202 increases the tilt angle by 2° every 10 minutes according to a preset program, gradually improving the patient's ability to control their center of gravity.

[0087] Pressure linkage response: If the pressure feedback module 2 detects that the pressure on the affected side exceeds the limit, the control unit 202 immediately sends a zeroing command to the pneumatic push rod, quickly adjusts the support platform back to the horizontal state (0°), and locks the push rod stroke to avoid secondary injury to the patient due to postural imbalance.

[0088] It should be noted that pneumatic actuator assemblies are existing technology in this field, and their typical structure includes:

[0089] Cylinder body: Composed of cylinder barrel, piston, and sealing ring, forming a sealed air chamber inside, which drives the piston to move through air pressure difference;

[0090] Piston rod: Fixedly connected to the piston, extending out of the cylinder to achieve linear push-pull force output;

[0091] Pneumatic control components include solenoid valves, pressure reducing valves, check valves, etc., used to control the direction, pressure and flow rate of airflow;

[0092] Buffer device: Some models are equipped with a hydraulic buffer to prevent impact at the end of the push rod stroke.

[0093] In the existing technology, pneumatic actuators are widely used in industrial automation equipment, medical devices (such as operating table posture adjustment), car seat adjustment and other scenarios.

[0094] In one embodiment of this utility model, such as Figures 1-4 As shown, pressure sensors 201 are arrayed in the affected side contact area of ​​the hip support platform 104 and aligned with the center of gravity projection area of ​​the affected limb. Weight-bearing sensors 402 are distributed in the foot contact area of ​​the shoe cover 401. Both are electrically coupled to the control unit 202.

[0095] Among these, it is understandable that: 1. The array distribution and center-of-gravity alignment design of pressure sensor 201

[0096] 1. Pressure sensors 201 are distributed in a matrix (e.g., an 8×8 array) on the affected side of the hip support platform 104 (with the patient's midline as the boundary, the affected side occupies 50% of the platform surface area). This area is determined by clinical measurement; for example, when the patient has right-sided hemiplegia, the sensor array covers the right side of the support platform, and its geometric center is precisely aligned with the projection area of ​​the center of gravity of the affected limb (2-3 cm lateral to the ischial tuberosity).

[0097] 2. Each sensor node (such as a miniature piezoresistor) is spaced 1cm x 1cm apart, forming a flexible sensing surface that matches the contour of the affected hip, enabling real-time acquisition of pressure distribution data (such as pressure values ​​and center of gravity shift trajectories). For example, when the patient is standing, the pressure applied to the affected hip is converted into an electrical signal by the array, covering major support points such as the ischial tuberosity and greater trochanter of the femur, avoiding errors from single-point sensing.

[0098] II. Foot distribution logic of load cell 402

[0099] 1. Wearable shoe covers integrated with sensors

[0100] The shoe cover 401 is fixed to the base 101, and the load-bearing sensor 402 is embedded in the foot contact area inside. The sensors are distributed and cover the forefoot, arch, heel and other areas. Each area is equipped with 2-3 sensing nodes to ensure comprehensive collection of single-leg load data (such as pressure distribution and total load).

[0101] 2. Clinical significance of load-bearing data

[0102] When the patient stands, both feet are covered with shoe covers 401, and the weight-bearing sensor 402 monitors the weight-bearing ratio of each leg in real time. For example, a 60kg patient should theoretically bear 30kg on each foot. If the affected leg only bears 20kg (compared to 40kg on the healthy leg), it indicates that the support capacity of the affected side is insufficient and needs to be strengthened through training.

[0103] III. Electrical Coupling Mechanism between Sensor and Control Unit 202

[0104] 1. Signal transmission path

[0105] Pressure sensor 201: Each array node is connected to the analog input port of control unit 202 via shielded wires. The wires adopt a differential routing design to reduce electromagnetic interference.

[0106] Load cell 402: The foot sensor is connected to the signal conditioning module in the base 101 via a ribbon cable. After amplification and filtering, the signal is transmitted to the A / D conversion channel of the control unit 202.

[0107] 2. Data processing and linkage logic

[0108] The control unit 202 synchronously acquires data from the pressure sensor 201 and the load-bearing sensor 402 at a frequency of 100Hz, and calculates the total pressure value of the affected limb and the weight-bearing ratio of the single leg.

[0109] When the data of both are abnormal (such as excessive pressure on the affected hip and weight-bearing on one leg below the threshold), the control unit 202 triggers the alarm module 203 and can also link the tilt adjustment mechanism 103 to adjust the hip support platform 104 back to a horizontal state to prevent the patient from losing balance.

[0110] IV. Work Process:

[0111] (1) Initial calibration phase

[0112] The patient sits on the hip support platform 104 and puts on shoe covers 401.

[0113] Control unit 202 sends calibration command:

[0114] The patient is asked to briefly raise the unaffected limb, and the pressure sensor 201 collects full load data of the affected hip to determine the baseline value of the center of gravity projection area.

[0115] The load-bearing sensor 402 detects the static load on the affected leg and establishes a linkage model of "hip pressure - lower limb load" (e.g., for every 10N increase in hip pressure, the corresponding lower limb load increases by 5kg).

[0116] (2) Dynamic training data acquisition

[0117] When the hip support platform is tilted at 104 degrees (e.g., 15°), the patient is performing weight transfer training:

[0118] The pressure sensor array 201 monitors the changes in pressure distribution on the affected hip in real time. For example, when the center of gravity shifts to the affected side, the pressure value in the ischial tuberosity region increases from 20N to 35N.

[0119] The load-bearing sensor 402 synchronously collects the load-bearing data of the affected leg. For example, if the load increases from 25kg to 28kg, the data from both are transmitted to the control unit 202 via electrical coupling.

[0120] (3) Data feedback and security control

[0121] Control unit 202 compares the preset threshold (e.g., hip pressure ≥40N or single-leg load ≥30kg):

[0122] If the data is normal, continue training;

[0123] If the data exceeds the limit, the alarm module 203 is immediately triggered through the electrical coupling path, and a zeroing command is sent to the tilt adjustment mechanism 103 to ensure patient safety.

[0124] In one embodiment of this utility model, such as Figures 1-4 As shown, the PLC controller 501 has a built-in data processing module that can convert the real-time data from the pressure sensor 201 and the load cell 402 into visual parameters and display them on the display screen 502.

[0125] It can be understood that the PLC controller 501 has a built-in data processing module that establishes bidirectional communication with the control unit 202 via an RS-485 communication cable, and receives raw data from the pressure sensor 201 and the load sensor 402 in real time.

[0126] Display screen 502: Connected to PLC controller 501 via HDMI, it is installed on the outside of mobile support platform 1 for easy viewing by patients and trainers.

[0127] The control unit 202 packages the real-time data (e.g., 100 frames per second) of the pressure sensor 201 and load cell 402 using the Modbus protocol and sends it to the PLC controller 501 via serial port.

[0128] The PLC controller 501 parses the data packet, verifies its integrity, and stores it in the buffer, awaiting processing module access.

[0129] I. Core Functions of the Data Processing Module

[0130] 1. Raw data preprocessing

[0131] Noise reduction filtering: Kalman filtering is applied to the array data (e.g., 8×8 pressure values) of pressure sensor 201 to eliminate high-frequency noise generated by patient limb tremors; moving average filtering is applied to the load data of load sensor 402 to smooth instantaneous impact values.

[0132] Unit conversion: The voltage signal (0-5V) of pressure sensor 201 is converted into a pressure value (N), and the resistance change of load cell 402 is converted into a weight value (kg). For example:

[0133] Pressure sensor 201: 1V corresponds to 10N of pressure;

[0134] Load cell 402: A resistance change of 0.1Ω corresponds to a load of 1kg.

[0135] 2. Parameter Calculation and Visualization Conversion

[0136] Key parameter generation:

[0137] Total pressure value of the affected hip: Calculate the weighted sum of the pressure sensor array 201, with the weights related to the alignment of the center of gravity projection area;

[0138] Single-leg load-bearing value: Read the data of the left and right feet from the load-bearing sensor 402, such as "left lower limb load 28kg" and "right lower limb load 32kg".

[0139] Weight-bearing ratio: Calculate the percentage of body weight borne by a single leg (e.g., 50% weight borne by the affected leg).

[0140] Visual format conversion: Converts numerical parameters into graphical interface elements, such as:

[0141] Numerical display box: Real-time display of pressure and load values;

[0142] Progress bar: Displays the weight percentage (0-100%).

[0143] Line chart: Plot the trend of pressure / load changing over time (time axis is zoomable).

[0144] 3. Threshold judgment and alarm logic

[0145] The data processing module has built-in preset thresholds (such as single-leg load ≥30kg, hip pressure ≥40N). When real-time data exceeds the threshold:

[0146] Generate alarm indicators (such as the value box turning red or the progress bar flashing);

[0147] An alarm signal is sent to the control unit 202, triggering the alarm module 203 to sound and light an alarm.

[0148] II. Workflow of Visual Display

[0149] (1) System startup and interface initialization

[0150] After the PLC controller 501 is powered on, the data processing module loads the default configuration:

[0151] Display screen 502 shows a welcome screen with the message "System initialization in progress...";

[0152] Establish communication with control unit 202 to receive sensor calibration data (such as zero offset value of pressure sensor and range of load cell).

[0153] (2) Real-time data display during training

[0154] 1. Data Acquisition and Transmission:

[0155] Pressure sensor 201 collects real-time pressure on the affected hip (e.g., 35N), and load-bearing sensor 402 collects single-leg load (e.g., 25kg on the affected leg).

[0156] The control unit 202 packages the data and sends it to the PLC controller 501, with a transmission delay of ≤20ms.

[0157] 2. Data processing and interface updates:

[0158] The data processing module analyzes the data and calculates "pressure on the affected hip 35N" and "weight-bearing capacity of the left lower limb 25kg".

[0159] Generate visualization parameters:

[0160] Numerical display: The display screen 502 shows "Hiss pressure: 35N" and "Left lower limb load: 25kg" in the center;

[0161] Graphical display: A pressure-time curve is plotted below the numerical values, with the horizontal axis representing training time (0-30 minutes) and the vertical axis representing pressure values ​​(0-50N). The plotting points are updated in real time.

[0162] 3. Visual feedback for abnormal situations:

[0163] If the load sensor 402 detects that the single leg is carrying a load of 30kg (threshold):

[0164] The data processing module marks the "left lower limb weight-bearing" value in red, with a flashing border.

[0165] An alarm pop-up window appears in the upper right corner of display screen 502, displaying "Overloaded, please adjust posture", and at the same time, alarm module 203 sounds.

[0166] (3) Training End and Data Storage

[0167] At the end of training, the data processing module:

[0168] The pressure and load data of the entire training process are packaged (in CSV format) and stored in the built-in memory of the PLC controller 501.

[0169] Display screen 502 shows the training summary interface, which includes statistical parameters such as average pressure, maximum load, and training duration.

[0170] It supports data export via USB interface, which facilitates subsequent rehabilitation assessment.

[0171] It should be noted that the control method of this application can be automatically controlled by a controller. The control method of the controller can be implemented by simple programming by those skilled in the art, which is common knowledge in the field. Furthermore, this application is mainly used to protect mechanical structures, so the control method and circuit connection will not be explained in detail here.

[0172] Specifically, taking a hemiplegic patient weighing 60kg as an example, the complete usage process of the intelligent dynamic stabilization assist system is as follows:

[0173] I. Initialization Phase: Equipment Debugging and Patient Placement

[0174] 1. Equipment positioning and attitude zeroing

[0175] The trainer pushes the braked casters on the bottom of the base 101 to move the device to the rehabilitation training area and then presses the brake to lock the base 101. The control unit 202 sends a command to the tilt adjustment mechanism 103, which adjusts the hip support platform 104 to a horizontal position (0° tilt) via the pneumatic push rod assembly.

[0176] 2. Height adaptive adjustment

[0177] When the patient is in a seated position, the control unit 202 drives the electric drive device of the lifting column 102 to raise the hip support platform 104 to a height of 90cm off the ground (achieved through a multi-stage telescopic column), and fixes it with a locking buckle to ensure rigid support of the lifting column 102.

[0178] 3. Load monitoring component starts

[0179] The patient puts both feet into the shoe covers 401 on the base 101. The load-bearing sensor 402 inside the shoe covers is electrically connected to the control unit 202. The control unit 202 guides the patient to briefly lift the healthy limb to calibrate the static load on the affected leg (e.g., initially test the load on the affected leg at 20kg and the healthy leg at 40kg).

[0180] 4. Data display module initialization

[0181] The PLC controller 501 communicates with the control unit 202 to receive initial data from the pressure sensor 201 and the load cell 402. The display screen 502 displays "System Ready" and updates the parameters in real time: tilt angle 0°, left lower limb load 20kg, right lower limb load 40kg.

[0182] II. Training Phase: Implementation of Dynamic Balance Training

[0183] 1. Progressive tilt attitude simulation

[0184] The trainer sets an initial tilt angle of 5° through the control unit 202. The control unit 202 drives the pneumatic push rod assembly of the tilt adjustment mechanism 103 to extend by 1.5cm, causing the hip support platform 104 to tilt forward by 5°, simulating a slight shift in the center of gravity.

[0185] 2. Real-time monitoring and feedback of load data

[0186] When the patient attempts to shift their weight to the affected side, the load-bearing sensor 402 on the shoe cover 401 collects data in real time: the load on the affected leg gradually increases from 20kg to 25kg, while the load on the healthy leg decreases to 35kg. The data is transmitted to the control unit 202 via an electrical connection.

[0187] The control unit 202 sends the data to the PLC controller 501. After processing, the data is displayed on the screen 502 as "Left lower limb load 25kg" and "Tilting angle 5°", and a load-time curve is plotted.

[0188] 3. Rotatable armrests for auxiliary support

[0189] When the hip support platform 104 is tilted to 15°, the patient tends to lean towards the affected side. The trainer manually rotates the rotatable support board 303 60° around the axis of rotation to the affected side. After fixing it, the patient supports the support board 303 with their healthy hand to assist in controlling their center of gravity.

[0190] 4. Over-limit alarm and safety intervention

[0191] If the patient's weight-bearing on the affected leg suddenly increases to 32kg (exceeding the preset threshold of 30kg), the PLC controller 501 triggers the display screen 502 to flash the "Weight-bearing on the left lower limb" value, and at the same time, the alarm module 203 sounds and lights an alarm. The control unit 202 immediately sends a zeroing command to the tilt adjustment mechanism 103 to adjust the hip support platform 104 back to a horizontal state (0°) to prevent imbalance.

[0192] III. Final Stage: Equipment Reset and Data Storage

[0193] 1. Attitude and altitude reset

[0194] After the training, the control unit 202 drives the tilt adjustment mechanism 103 to keep the hip support platform 104 horizontal, while controlling the lifting column 102 to descend to 60cm off the ground to facilitate the patient to get up.

[0195] 2. Data archiving and device standby

[0196] The PLC controller 501 packages and stores training data (such as maximum tilt angle of 15°, maximum load on the affected leg of 32kg, and training duration of 20 minutes) in its built-in memory, and the display screen 502 shows the training summary interface. The trainer releases the brakes on the casters on the base 101, and the device enters standby mode for easy movement and storage.

[0197] In summary, the intelligent dynamic stability assist system of this utility model embodiment achieves real-time stable control of the supporting force of the affected limb through a highly adjustable mobile support platform, precise pressure feedback technology, and dynamic posture simulation mechanism, thereby improving the safety and effectiveness of rehabilitation training.

[0198] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this utility model, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0199] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0200] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. An intelligent dynamic stability assist system, characterized in that, It includes a mobile support platform (1), a pressure feedback module (2), a lateral support component (3), a wearable load monitoring component (4), and a data display and control module (5), among which, The mobile support platform (1) includes a base (101), a height-adjustable lifting column (102) vertically installed on the base (101), and a hip support platform (104) connected to the top of the lifting column (102) via a tilt adjustment mechanism (103). The bottom of the base (101) is provided with universal wheels with braking function. The pressure feedback module (2) includes a pressure sensor (201), a control unit (202) and an alarm module (203) located on the upper surface of the hip support platform (104) in the contact area of ​​the affected side. The control unit (202) monitors the pressure data in real time and triggers an alarm. The lateral support assembly (3) includes a column bracket (301) fixed to the side of the mobile support platform (1) and a handrail (302) set on the top of the column bracket (301). The mobile support platform (1) is provided with a rotatable handrail (303) on the outside. The handrail (303) is installed on the mobile support platform (1) through a rotating shaft and can rotate toward the affected side and be locked for auxiliary support of the healthy hand. The wearable load monitoring component (4) includes two wearable shoe covers (401) on the base (101). The shoe covers (401) are embedded with load sensors (402). The load sensors (402) are electrically connected to the control unit (202) and are used to collect single-leg load data. The data display control module (5) includes a PLC controller (501) and a display screen (502). The PLC controller (501) is connected to the control unit (202) in communication. The display screen (502) is installed on the outside of the mobile support platform (1) and is used to display pressure, load and tilt angle parameters in real time.

2. The intelligent dynamic stability assistance system of claim 1, wherein, The lifting column (102) is a multi-stage telescopic structure, including an electric drive device and a locking buckle that are communicatively connected to the control unit (202).

3. The intelligent dynamic stability auxiliary system according to claim 1, characterized in that, The tilt adjustment mechanism (103) is a pneumatic push rod assembly, with its two ends hinged to the top of the lifting column (102) and the bottom of the hip support platform (104) respectively. The pneumatic push rod stroke is adjusted by the control unit (202) to control the tilt angle, so that the hip support platform (104) tilts within the range of 0°-30°.

4. The intelligent dynamic stability assistance system of claim 1, wherein, The pressure sensors (201) are arrayed in the contact area of ​​the affected side of the hip support platform (104) and aligned with the center of gravity projection area of ​​the affected limb. The load-bearing sensors (402) are distributed in the contact area of ​​the sole of the foot when wearing shoe covers (401). Both are electrically coupled to the control unit (202).

5. The intelligent dynamic stability auxiliary system according to claim 1, characterized in that, The PLC controller (501) has a built-in data processing module that can convert real-time data from the pressure sensor (201) and load cell (402) into visual parameters and display them on the display screen (502).