Intelligent limb fixing system with pressure and micro-motion monitoring function

Abstract

The invention discloses an intelligent limb fixing system with a pressure and micro-motion monitoring function, and the method comprises the steps: continuously collecting the pressure value of each point, and determining a pressure value set N; the average pressure P, the peak pressure F, the corresponding average pressure high-pressure duration T1 and the corresponding peak pressure high-pressure duration T2 of the pressure value set N are calculated, and whether the pressing risk exists or not is judged; the acceleration and the three-axis angular velocity of the belt body of the fixing belt in three orthogonal directions are obtained, and a corresponding acceleration curve graph and a corresponding angular velocity curve graph are drawn respectively; the pressure value set N, the acceleration curve graph and the angular velocity curve graph are analyzed, and when risks exist, early warning information is sent to a nurse mobile terminal APP for risk early warning. By monitoring and intelligently analyzing the pressure and micro-motion state of the limb fixing system, the restraint pressure is monitored in real time, the release behavior is pre-warned, and the safety protection of the patient and the improvement of the nursing work efficiency are both considered.

Description

Technical Field

[0001] This application relates to the field of medical device technology, and more specifically, to an intelligent limb fixation system with pressure and micro-motion monitoring functions. Background Technology

[0002] Protective restraint is one of the last resort measures taken in clinical nursing to ensure patient safety. Currently, traditional fabric restraint straps are still widely used in clinical practice. However, the tightness of traditional fabric restraints relies entirely on the nurse's feel; too tight, and it will compress the local skin; too loose, and it loses its restraining effect. Nurses cannot perceive pressure changes at the restraint site in real time, and can only observe through periodic rounds, resulting in a significant blind spot in safety monitoring. While some attempts have been made to improve restraint straps, such as adding foam padding, none have fundamentally solved the core problems of "real-time monitoring" and "intelligent early warning."

[0003] Therefore, the existing technology has defects and urgently needs improvement. Summary of the Invention

[0004] In view of the above problems, the purpose of this invention is to provide an intelligent limb fixation system with pressure and micro-motion monitoring functions. By monitoring and intelligently analyzing the pressure and micro-motion status of the limb fixation system, it can monitor restraint pressure in real time and provide early warning of release behavior, thus taking into account both patient safety protection and improved nursing efficiency.

[0005] The first aspect of this invention provides an intelligent limb immobilization system with pressure and micro-motion monitoring functions, comprising: The first data acquisition module is used to continuously acquire pressure values ​​at various points at a specific frequency through a flexible pressure sensor array to determine the pressure value set N. The data processing module is used to calculate the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 of the pressure value set N through a microprocessor; detect whether the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 meet the corresponding preset safety thresholds, and determine whether there is a risk of compression. The second data acquisition module is used to acquire the acceleration and triaxial angular velocity of the fixed belt in three orthogonal directions. The data visualization module plots the acceleration curves and angular velocity curves corresponding to the acceleration and angular velocities of the fixed belt in three orthogonal directions and three axes, respectively. The data analysis module is used to combine the pressure value set N to analyze the acceleration curve and the angular velocity curve to determine whether there is a risk of the fixed belt coming off. The data transmission and early warning module is used to send early warning information to the nurse's mobile terminal APP when a risk exists, thus providing risk warning.

[0006] In this solution, the step of continuously collecting pressure values ​​at various points at a specific frequency using a flexible pressure sensing array to determine the pressure value set N includes: A flexible pressure sensor array is installed in the critical stress area of ​​the fixed belt to continuously collect the pressure value at each stress point. The collected pressure values ​​at each point are added to the pressure value set N.

[0007] In this solution, the step of calculating the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 of the pressure value set N using a microprocessor includes: Calculate the average pressure based on the pressure values ​​within the pressure value set N: ; Where n is the number of pressure values ​​in the pressure value set N, N i The i-th pressure value in the pressure value set N; Calculate the peak pressure F based on the pressure values ​​within the pressure value set N: ; Where max() is the maximum value in the pressure value set N; Set safety thresholds for average pressure, peak pressure, and corresponding high-pressure duration; When the average pressure exceeds the average pressure safety threshold, the duration of the average pressure exceeding the average pressure safety threshold is recorded to obtain the average pressure high pressure duration T1; When the peak pressure F exceeds the peak pressure safety threshold, the duration of the peak pressure exceeding the peak pressure safety threshold is recorded to obtain the peak pressure high pressure duration T2.

[0008] In this solution, the step of detecting whether the average pressure P, the peak pressure F, and the corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 meet the corresponding preset safety thresholds to determine whether there is a risk of compression includes: The average pressure P, peak pressure F, and the corresponding average pressure high pressure duration T1 and peak pressure high pressure duration T2 are compared with the corresponding safety thresholds to determine whether the preset safety threshold requirements are met. When the average pressure P is greater than the average pressure safety threshold and the average pressure high pressure duration T1 is greater than the average pressure high pressure duration threshold, or when the peak pressure F is greater than the peak pressure safety threshold and the peak pressure high pressure duration T2 is greater than the peak pressure high pressure duration threshold, it is determined that the preset safety threshold requirement is not met and there is a risk of compression.

[0009] In this scheme, the step of plotting the acceleration curves and angular velocity curves corresponding to the acceleration and angular velocities of the fixed belt in three orthogonal directions includes: Based on the acceleration and the three-axis angular velocities, three acceleration curves with time as the vertical axis and acceleration in each direction as the horizontal axis are plotted, as well as three angular velocity curves with time as the vertical axis and angular velocity in each axis as the horizontal axis.

[0010] In this solution, the step of combining the pressure value set N with the acceleration curve and the angular velocity curve to determine whether there is a risk of the fixed belt coming loose includes: The pressure values ​​of each point in the pressure value set N are plotted into a corresponding pressure value curve, where the horizontal axis of the pressure value curve is the pressure value and the vertical axis is time. The state of the fixed belt body is obtained by comparing and analyzing the pressure value set N, the acceleration curve, and the angular velocity curve using a microcontroller. The states of the fixed belt include stable compression, risk of release, and unconscious non-release and non-compression states. Based on the condition of the fixed belt, determine whether there is a risk of the fixed belt coming loose.

[0011] This plan also includes: By calculating the curve similarity, the pressure value curves corresponding to each pressure point are analyzed and compared pairwise to determine the curve similarity between the pressure points. Calculate the standard deviation S of the pressure values ​​based on the pressure values ​​within the pressure value set N: ; Where n is the number of pressure values ​​in the pressure value set N, N i Let N be the i-th pressure value in the set of pressure values, and P be the average pressure. If the similarity of the curves of all the pressure points is within the preset curve similarity range, and the standard deviation S of the pressure value of each pressure point is lower than the preset standard deviation threshold, the acceleration curve and the angular velocity curve are analyzed. If the peak and minimum values ​​of the acceleration curve both meet the preset acceleration range, and the peak and minimum values ​​of the angular velocity curve both meet the preset angular velocity range, the fixed belt body is determined to be under stable pressure.

[0012] This plan also includes: If the number of pressure point curves whose similarity is outside the preset curve similarity range is greater than the preset number, and the number of pressure values ​​in the pressure value set N that are less than the release pressure value N1 is greater than the preset release pressure value, the acceleration curve and the angular velocity curve are analyzed. If at least one of the peak and minimum values ​​of the acceleration curve does not meet the preset acceleration range, and at least one of the peak and minimum values ​​of the angular velocity curve does not meet the preset angular velocity range, the fixed belt body is determined to be in a state of risk of release.

[0013] This plan also includes: Record the duration for which the pressure value at each point in the pressure value set N is less than the release pressure value N1. If the similarity of the curves of the pressure points decreases over time but remains within the preset curve similarity range, and the number of pressure values ​​in the pressure value set N that are less than the release pressure value N1 is less than the preset release pressure value, the duration corresponding to the pressure value of each point being less than the release pressure value N1 is analyzed. If the number of pressure points that are greater than the preset duration is less than the preset number of pressure points, the state of the fixed belt body is determined to be an unconscious, non-released, and non-compression state.

[0014] This plan also includes: When the situation is determined to be stable under pressure or unconscious, non-released, non-oppressed state, the system maintains stable real-time monitoring. When a risk of pressure or release is identified, the system immediately issues an early warning alarm and transmits the warning information to the nurse's mobile terminal APP via Bluetooth.

[0015] This invention discloses an intelligent limb immobilization system with pressure and micro-motion monitoring functions. The method includes: continuously collecting pressure values ​​at various points to determine a pressure value set N; calculating the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 of the pressure value set N, and determining whether there is a risk of compression; acquiring the acceleration and triaxial angular velocity of the immobilization strap in three orthogonal directions, and plotting the corresponding acceleration curves and angular velocity curves respectively; analyzing the pressure value set N, the acceleration curves, and the angular velocity curves, and sending a warning message to a nurse's mobile terminal APP when a risk is detected. This invention monitors and intelligently analyzes the pressure and micro-motion status of the limb immobilization system, monitors restraint pressure in real time, and warns of release behaviors, thus balancing patient safety protection and improved nursing efficiency. Attached Figure Description

[0016] Figure 1 A flowchart of an intelligent limb immobilization system with pressure and micro-motion monitoring functions provided by the present invention is shown; Figure 2 A schematic diagram of an intelligent limb immobilization device with pressure and micro-motion monitoring functions provided by the present invention is shown. Detailed Implementation

[0017] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0018] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0019] Figure 1 A flowchart of an intelligent limb immobilization system with pressure and micro-motion monitoring functions provided by the present invention is shown.

[0020] like Figure 1 As shown, this invention discloses an intelligent limb immobilization system with pressure and micro-motion monitoring functions, comprising: The first data acquisition module is used to continuously acquire pressure values ​​at various points at a specific frequency through a flexible pressure sensor array to determine the pressure value set N. The data processing module is used to calculate the average pressure P, peak pressure F, and corresponding average pressure high pressure duration T1 and peak pressure high pressure duration T2 of the pressure value set N through the microprocessor; detect whether the average pressure P, peak pressure F, and corresponding average pressure high pressure duration T1 and peak pressure high pressure duration T2 meet the corresponding preset safety thresholds, and determine whether there is a risk of compression. The second data acquisition module is used to acquire the acceleration and triaxial angular velocity of the fixed belt in three orthogonal directions. The data visualization module is used to draw acceleration curves and angular velocity curves corresponding to the acceleration and angular velocities of the fixed belt in three orthogonal directions and three axes, respectively. The data analysis module is used to combine the pressure value set N to analyze the acceleration curve and angular velocity curve to determine whether there is a risk of the fixed belt coming off. The data transmission and early warning module is used to send early warning information to the nurse's mobile terminal APP when a risk exists, thus providing risk warning.

[0021] According to an embodiment of the present invention, the system employs a flexible thin-film pressure sensor array to collect pressure values ​​in real time at a specific frequency. A micro-motion monitoring module integrating a nine-axis inertial sensor captures motion posture, and collects the acceleration and triaxial angular velocity of the limb fixation system in three orthogonal directions in real time. The microcontroller performs calculations and visualization processing on the monitored data, and intelligently analyzes whether the limb fixation system poses a risk of compression or release by combining pressure and motion data. If a risk is found, a warning signal is issued promptly. This approach balances patient safety with improved nursing efficiency. The system mainly includes the following modules: (1) First data acquisition module: The core function of the first data acquisition module is to continuously and accurately acquire pressure data from multiple discrete monitoring points in the contact area between the fixed belt and the limb by means of a flexible pressure sensor array integrated on the side of the fixed belt that fits against the human body, according to a preset specific acquisition frequency, and to structure and integrate the acquired pressure data to form a set N of pressure values ​​to be processed.

[0022] (2) Data Processing Module: The data processing module is responsible for further calculation of the pressure data collected by the first data acquisition module. Based on the pressure value set N, the average pressure P is calculated by formula. This average pressure can quantify the pressure distribution uniformity of the contact area between the fixation strap and the limb, weaken the random error of a single sensing unit, and more accurately reflect the fit of the fixation strap and the overall pressure on the fixation strap. The peak pressure F of the pressure value set N is extracted by the max() function to characterize the local limit pressure state of the contact area, providing data support for the subsequent accurate identification of the risk of local excessive compression. The calculated average pressure is compared with the preset average pressure safety threshold. When the average pressure exceeds the threshold, the duration is automatically recorded to obtain the average pressure high pressure duration T1. At the same time, the peak pressure F is compared with the peak pressure safety threshold. When the peak pressure exceeds the threshold, the duration of the continuous over-limit is recorded simultaneously to obtain the peak pressure high pressure duration T2. ​​By monitoring these two core pressure characteristic parameters and the corresponding over-limit duration, a basis is provided for subsequent fixation strap pressure adjustment and abnormal warning.

[0023] (3) Second data acquisition module: The second data acquisition module integrates a three-axis accelerometer and a three-axis gyroscope. Its core function is to acquire the acceleration data of the fixed belt body in three orthogonal directions and the angular velocity data around the three orthogonal axes in real time, so as to realize the full-dimensional and high-precision capture of the linear displacement, rotational motion, posture change and micro-motion amplitude generated by the limb driving the fixed belt body. The acquisition of motion data makes up for the technical shortcoming that single pressure monitoring cannot distinguish whether the pressure abnormality is caused by improper wearing or by limb micro-motion.

[0024] (4) Data visualization module: The microprocessor further processes the collected motion data and plots three acceleration curves with time as the vertical axis and the corresponding acceleration value as the horizontal axis, and three angular velocity curves with time as the vertical axis and the corresponding angular velocity value as the horizontal axis, based on acceleration data in three orthogonal directions and angular velocity data in three axes. The discrete acceleration and angular velocity data are transformed into continuous and visualized time-series change curves, which intuitively present the acceleration and angular velocity fluctuation patterns of the fixed belt body as the limb moves.

[0025] (5) Data analysis module: The data analysis module compares and analyzes the pressure data collected by the first data module with the motion data collected by the second data module. Combining the pressure distribution characteristics and the motion posture change pattern, it accurately determines the real-time status of the fixed belt body and monitors the risk of compression and release.

[0026] (6) Data transmission and early warning module: The data transmission and early warning module enables the system to realize real-time data transmission and risk warning functions; when the fixation belt system detects the risk of compression and release, it immediately activates the early warning mechanism, and transmits the detected pressure data and motion data to the nurse terminal APP through low power Bluetooth and issues a risk warning alarm, effectively shortening the response time of medical staff, reducing the risk of secondary limb injury caused by fixation belt failure, and improving the intelligence and timeliness of clinical nursing.

[0027] According to an embodiment of the present invention, a pressure value set N is determined by continuously acquiring pressure values ​​at various points at a specific frequency using a flexible pressure sensing array, including: A flexible pressure sensor array is installed in the critical stress area of ​​the fixed belt to continuously collect the pressure value at each stress point. The collected pressure values ​​at each point are added to the pressure value set N.

[0028] It should be noted that the flexible pressure sensor array is installed in the critical stress area, such as the joint flexion and extension points, bone protrusions and other areas where pressure is concentrated or prone to compression injury. The distributed monitoring characteristics of the sensor array are used to continuously capture the real-time pressure values ​​of each stress monitoring point in the critical area at a specific frequency of 50-100 Hz. The selection of the critical stress zone and specific frequency can be set by those skilled in the art according to actual needs.

[0029] According to an embodiment of the present invention, the calculation of the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 of the pressure value set N by a microprocessor includes: Calculate the average pressure based on the pressure values ​​within the pressure value set N: ; Where n is the number of pressure values ​​in the pressure value set N, N i The i-th pressure value in the pressure value set N; Calculate the peak pressure F based on the pressure values ​​within the pressure value set N: ; Where max() is the maximum value in the pressure value set N; Set safety thresholds for average pressure, peak pressure, and corresponding high-pressure duration; When the average pressure exceeds the average pressure safety threshold (e.g., 4 kPa), the duration of the average pressure exceeding the average pressure safety threshold is recorded to obtain the average pressure high pressure duration T1. When the peak pressure F exceeds the peak pressure safety threshold (e.g., 6 kPa), the duration of the peak pressure exceeding the peak pressure safety threshold is recorded to obtain the peak pressure high pressure duration T2.

[0030] It should be noted that the average pressure, peak pressure, and the corresponding safety threshold for high pressure duration can be set by those skilled in the art according to actual needs.

[0031] According to an embodiment of the present invention, detecting whether the average pressure P, the peak pressure F, and the corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 meet the corresponding preset safety thresholds to determine whether there is a risk of compression includes: The average pressure P, peak pressure F, and the corresponding average pressure high pressure duration T1 and peak pressure high pressure duration T2 are compared with the corresponding safety thresholds to determine whether the preset safety threshold requirements are met. When the average pressure P is greater than the average pressure safety threshold and the average pressure high pressure duration T1 is greater than the average pressure high pressure duration threshold (e.g., 10 min), or when the peak pressure F is greater than the peak pressure safety threshold and the peak pressure high pressure duration T2 is greater than the peak pressure high pressure duration threshold (e.g., 5 min), it is determined that the preset safety threshold requirement is not met and there is a risk of compression.

[0032] It should be noted that this system adopts a dual judgment rule of exceeding the pressure value limit and exceeding the duration limit, which effectively avoids false alarms caused by instantaneous pressure fluctuations due to brief micro-movements of the limbs, and improves the accuracy and reliability of pressure risk assessment.

[0033] According to an embodiment of the present invention, acceleration curves and angular velocity curves corresponding to the acceleration and angular velocities of the fixed belt body in three orthogonal directions are plotted, including: Based on the acceleration and the three-axis angular velocities, three acceleration curves with time as the vertical axis and acceleration in each direction as the horizontal axis are plotted, as well as three angular velocity curves with time as the vertical axis and angular velocity in each axis as the horizontal axis.

[0034] It should be noted that a time scale matching the data acquisition frequency should be used during curve plotting to avoid smooth transitions in the curve due to an excessively large time scale setting, which would result in the loss of abrupt changes in motion characteristics.

[0035] The specific time scale can be set by those skilled in the art according to actual needs.

[0036] According to an embodiment of the present invention, by combining the pressure value set N, analyzing the acceleration curve and the angular velocity curve to determine whether there is a risk of the fixed belt coming loose, including: The pressure values ​​of each point in the pressure value set N are plotted into a corresponding pressure value curve, where the horizontal axis of the pressure value curve is the pressure value and the vertical axis is time. The state of the fixed belt body is obtained by comparing and analyzing the pressure value set N, the acceleration curve, and the angular velocity curve using a microcontroller. The states of the fixed belt include stable compression, risk of release, and unconscious non-release and non-compression states. Based on the condition of the fixed belt, determine whether there is a risk of the fixed belt coming loose.

[0037] It should be noted that the plotting of the pressure value curve needs to be associated with the spatial coordinates of the corresponding pressure points and marked with different labels. At the same time, it is necessary to ensure the temporal consistency of pressure changes and motion posture changes when the microcontroller performs multi-data comparison analysis.

[0038] According to an embodiment of the present invention, it further includes: By calculating the curve similarity, the pressure value curves corresponding to each pressure point are analyzed and compared pairwise to determine the curve similarity between the pressure points. Calculate the standard deviation S of the pressure values ​​based on the pressure values ​​within the pressure value set N: ; Where n is the number of pressure values ​​in the pressure value set N, N i Let N be the i-th pressure value in the set of pressure values, and P be the average pressure. If the curve similarity of all comparative pressure points is within a preset curve similarity range (e.g., 80%-100%), and the standard deviation S of the pressure value at each pressure point is lower than a preset standard deviation threshold (e.g., 0.67 kPa), then the acceleration curve and the angular velocity curve are analyzed. If the peak and minimum values ​​of the acceleration curve both meet the preset acceleration range (e.g., 0-0.5 m / s²), then...2 When the peak and minimum values ​​of the angular velocity curve both meet the preset angular velocity range (e.g., 0-5° / s), the fixed belt body is determined to be in a stable compressed state.

[0039] It should be noted that the threshold verification of the standard deviation of the pressure value quantifies the overall pressure fluctuation level and reflects the pressure situation through specific data. When the standard deviation of the pressure value S is lower than the preset standard deviation threshold, the pressure fluctuation at each pressure point will not cause the risk of compression or release. Combined with motion data analysis, this further improves the accuracy of judging the state of the fixed belt.

[0040] The preset curve similarity interval, preset standard deviation threshold, preset acceleration interval, and preset angular velocity interval can be set by technical personnel in this field according to specific needs.

[0041] According to an embodiment of the present invention, it further includes: If the number of pressure point curves whose similarity is outside the preset curve similarity range is greater than the preset number (e.g., set to 20% of the total number of pressure points), and the number of pressure values ​​in the pressure value set N that are less than the release pressure value N1 (e.g., 0.67 kHg) is greater than the preset release pressure value number (e.g., set to 25% of the total number of pressure points), the acceleration curve and the angular velocity curve are analyzed. If at least one of the peak and minimum values ​​of the acceleration curve does not meet the preset acceleration range, and at least one of the peak and minimum values ​​of the angular velocity curve does not meet the preset angular velocity range, the fixed belt body is determined to be in a state of risk of release.

[0042] It should be noted that if the curve similarity deviates from the preset range, it indicates that the pressure change trend in each key stress area of ​​the fixation strap is abnormal, suggesting that there may be local slippage or loosening of the fixation strap. The number of monitoring points with pressure values ​​below the release pressure threshold N1 exceeds the limit, which, from a spatial distribution perspective, confirms that the fit between the fixation strap and the limb has decreased and can no longer provide effective fixation pressure. The abnormal parameters of the acceleration and angular velocity curves, from a motion perspective, prove that the pressure abnormality is not caused by sensor failure, but by the real risk signal caused by the displacement of the strap due to limb movement, thus achieving accurate judgment of the risk of release.

[0043] The preset quantity, relief pressure threshold N1, and preset number of relief pressure values ​​can be set by technical personnel in this field according to specific needs.

[0044] According to an embodiment of the present invention, it further includes: Record the duration for which the pressure value at each point in the pressure value set N is less than the release pressure value N1. If the similarity of the curves of the pressure points decreases over time but remains within the preset curve similarity range, and the number of pressure values ​​in the pressure value set N that are less than the release pressure value N1 is less than the preset release pressure value, the duration corresponding to the pressure value of each point being less than the release pressure value N1 is analyzed. If the number of pressure points that are greater than the preset duration is less than the preset number of pressure points (for example, set to 20% of the total number of pressure points), the state of the fixed belt body is determined to be an unconscious, non-released, and non-compression state.

[0045] It should be noted that the decrease in curve similarity but not exceeding the preset range indicates that the pressure changes at each stress point remain basically synchronous, and the number of pressure points with a duration greater than the preset duration is less than the preset number of pressure points, indicating that the pressure fluctuation is within the normal range and has not affected the normal operation of the fixing belt. It is possible that daily movements such as turning over and rotating the wrist have occurred.

[0046] The number of pressure points with preset duration can be set by professionals in this field according to specific needs.

[0047] According to an embodiment of the present invention, when a risk exists, a warning message is sent to the nurse's mobile terminal APP to provide a risk warning, including: When the situation is determined to be stable under pressure or unconscious, non-released, non-oppressed state, the system maintains stable real-time monitoring. When a risk of pressure or release is identified, the system immediately issues an early warning alarm and transmits the warning information to the nurse's mobile terminal APP via Bluetooth.

[0048] It should be noted that this system transmits data and early warning information in real time via Bluetooth Low Energy, fundamentally solving the core issues of "real-time monitoring" and "intelligent early warning".

[0049] Figure 2 A schematic diagram of an intelligent limb immobilization device with pressure and micro-motion monitoring functions provided by the present invention is shown.

[0050] like Figure 2 As shown, the present invention discloses an intelligent limb fixation device with pressure and micro-motion monitoring functions. The intelligent limb fixation device includes an intelligent limb fixation system with pressure and micro-motion monitoring functions. When the intelligent limb fixation system with pressure and micro-motion monitoring functions is executed, it realizes the steps described above for real-time monitoring and intelligent early warning of the fixation strap status.

[0051] The intelligent limb fixation device is equipped with a flexible pressure array sensing module and a micro-motion detection module to collect pressure value information of the pressure array and motion status information of the fixation device in real time; it is also equipped with a microcontroller to process and analyze the detected data to determine whether there is a risk of compression or release; at the same time, it can transmit data and warning signals to the nurse terminal APP in real time via Bluetooth Low Energy, so that medical staff can know the status of the fixation strap in time and make timely adjustments.

[0052] All information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.), and signals (including but not limited to signals transmitted between user terminals and other devices) involved in this application have been authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. For example, the "pressure value information" involved in this disclosure was obtained under full authorization.

[0053] This invention discloses an intelligent limb immobilization system with pressure and micro-motion monitoring functions. The method includes: continuously collecting pressure values ​​at various points to determine a pressure value set N; calculating the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 of the pressure value set N, and determining whether there is a risk of compression; acquiring the acceleration and triaxial angular velocity of the immobilization strap in three orthogonal directions, and plotting the corresponding acceleration curves and angular velocity curves respectively; analyzing the pressure value set N, the acceleration curves, and the angular velocity curves, and sending a warning message to a nurse's mobile terminal APP when a risk is detected. This invention monitors and intelligently analyzes the pressure and micro-motion status of the limb immobilization system, monitors restraint pressure in real time, and warns of release behaviors, thus balancing patient safety protection and improved nursing efficiency.

[0054] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0055] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0056] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0057] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0058] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. An intelligent limb immobilization system with pressure and micro-motion monitoring functions, characterized in that, include: The first data acquisition module is used to continuously acquire pressure values ​​at various points at a specific frequency through a flexible pressure sensor array to determine the pressure value set N. The data processing module is used to calculate the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 of the pressure value set N through a microprocessor; detect whether the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 meet the corresponding preset safety thresholds, and determine whether there is a risk of compression. The second data acquisition module is used to acquire the acceleration and triaxial angular velocity of the fixed belt in three orthogonal directions. The data visualization module is used to draw the acceleration curves and angular velocity curves corresponding to the acceleration and angular velocity of the fixed belt in three orthogonal directions and three axes, respectively. The data analysis module, in conjunction with the pressure value set N, analyzes the acceleration curve and the angular velocity curve to determine whether there is a risk of the fixed belt coming loose; The data transmission and early warning module is used to send early warning information to the nurse's mobile terminal APP when a risk exists, thus providing risk warning.

2. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 1, characterized in that, The process of continuously collecting pressure values ​​at various points using a flexible pressure sensing array at a specific frequency to determine the pressure value set N includes: A flexible pressure sensor array is installed in the critical stress area of ​​the fixed belt to continuously collect the pressure value at each stress point. The collected pressure values ​​at each point are added to the pressure value set N.

3. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 1, characterized in that, The step of calculating the average pressure P, peak pressure F, and corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 of the pressure value set N via a microprocessor includes: Calculate the average pressure based on the pressure values ​​within the pressure value set N: ； Where n is the number of pressure values ​​in the pressure value set N, N i The i-th pressure value in the pressure value set N; Calculate the peak pressure F based on the pressure values ​​within the pressure value set N: ； Where max() is the maximum value in the pressure value set N; When the average pressure exceeds the average pressure safety threshold, the duration of the average pressure exceeding the average pressure safety threshold is recorded to obtain the average pressure high pressure duration T1; Set safety thresholds for average pressure, peak pressure, and corresponding high-pressure duration; When the peak pressure F exceeds the peak pressure safety threshold, the duration of the peak pressure exceeding the peak pressure safety threshold is recorded to obtain the peak pressure high pressure duration T2.

4. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 1, characterized in that, The step of detecting whether the average pressure P, the peak pressure F, and the corresponding average pressure high-pressure duration T1 and peak pressure high-pressure duration T2 meet the corresponding preset safety thresholds to determine whether there is a risk of compression includes: The average pressure P, peak pressure F, and the corresponding average pressure high pressure duration T1 and peak pressure high pressure duration T2 are compared with the corresponding safety thresholds to determine whether the preset safety threshold requirements are met. When the average pressure P is greater than the average pressure safety threshold and the average pressure high pressure duration T1 is greater than the average pressure high pressure duration threshold, or when the peak pressure F is greater than the peak pressure safety threshold and the peak pressure high pressure duration T2 is greater than the peak pressure high pressure duration threshold, it is determined that the preset safety threshold requirement is not met and there is a risk of compression.

5. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 1, characterized in that, The step of plotting the acceleration curves and angular velocity curves corresponding to the acceleration in three orthogonal directions and the angular velocities along the three axes of the fixed belt includes: Based on the acceleration and the three-axis angular velocities, three acceleration curves with time as the vertical axis and acceleration in each direction as the horizontal axis are plotted, as well as three angular velocity curves with time as the vertical axis and angular velocity in each axis as the horizontal axis.

6. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 1, characterized in that, The process of combining the pressure value set N, analyzing the acceleration curve and the angular velocity curve, and determining whether there is a risk of the fixed belt coming loose includes: The pressure values ​​of each point in the pressure value set N are plotted into a corresponding pressure value curve, where the horizontal axis of the pressure value curve is the pressure value and the vertical axis is time. The state of the fixed belt body is obtained by comparing and analyzing the pressure value set N, the acceleration curve, and the angular velocity curve using a microcontroller. The states of the fixed belt include stable compression, risk of release, and unconscious non-release and non-compression states. Based on the condition of the fixed belt, determine whether there is a risk of the fixed belt coming loose.

7. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 6, characterized in that, Also includes: By calculating the curve similarity, the pressure value curves corresponding to each pressure point are analyzed and compared pairwise to determine the curve similarity between the pressure points. Calculate the standard deviation S of the pressure values ​​based on the pressure values ​​within the pressure value set N: ； Where n is the number of pressure values ​​in the pressure value set N, N i Let N be the i-th pressure value in the set of pressure values, and P be the average pressure. If the similarity of the curves of all the pressure points is within the preset curve similarity range, and the standard deviation S of the pressure value of each pressure point is lower than the preset standard deviation threshold, the acceleration curve and the angular velocity curve are analyzed. If the peak and minimum values ​​of the acceleration curve both meet the preset acceleration range, and the peak and minimum values ​​of the angular velocity curve both meet the preset angular velocity range, the fixed belt body is determined to be under stable pressure.

8. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 7, characterized in that, Also includes: If the number of pressure point curves whose similarity is outside the preset curve similarity range is greater than the preset number, and the number of pressure values ​​in the pressure value set N that are less than the release pressure value N1 is greater than the preset release pressure value, the acceleration curve and the angular velocity curve are analyzed. If at least one of the peak and minimum values ​​of the acceleration curve does not meet the preset acceleration range, and at least one of the peak and minimum values ​​of the angular velocity curve does not meet the preset angular velocity range, the fixed belt body is determined to be in a state of risk of release.

9. The intelligent limb immobilization system with pressure and micro-motion monitoring functions according to claim 7, characterized in that, Also includes: Record the duration for which the pressure value at each point in the pressure value set N is less than the release pressure value N1. If the similarity of the curves of the pressure points decreases over time but remains within the preset curve similarity range, and the number of pressure values ​​in the pressure value set N that are less than the release pressure value N1 is less than the preset release pressure value, the duration corresponding to the pressure value of each point being less than the release pressure value N1 is analyzed. If the number of pressure points that are greater than the preset duration is less than the preset number of pressure points, the state of the fixed belt body is determined to be an unconscious, non-released, and non-compression state.

10. The intelligent limb immobilization system with pressure and micro-motion monitoring function according to claim 6, characterized in that, When a risk exists, a warning message is sent to the nurse's mobile terminal APP to provide a risk warning, including: When the situation is determined to be stable under pressure or unconscious, non-released, non-oppressed state, the system maintains stable real-time monitoring. When a risk of pressure or release is identified, the system immediately issues an early warning alarm and transmits the warning information to the nurse's mobile terminal APP via Bluetooth.

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