A multifunctional intelligent elastic bandage control method and system

Abstract

The present invention discloses a multifunctional intelligent elastic bandage control method and system, which relate to the technical field of medical care equipment. When the system is running, the patient's movement state and wound state are collected through a dynamic collection module and a monitoring module, and the patient's real-time state information group and real-time wound data group are obtained. The data preprocessing module processes and integrates them to obtain a first data set and a second data set. The dynamic evaluation module performs fitting and processing to obtain a patient activity evaluation coefficient Hdxs and a patient wound evaluation coefficient Skxs, and matches them with a preset patient activity evaluation threshold H and a patient wound evaluation threshold S, to obtain a patient activity evaluation regulation scheme and a patient wound evaluation early warning scheme, and performs specific execution and notification according to the content, automatically adjusts the parameters of the intelligent elastic bandage, and obtains the real-time monitored wound state, so as to ensure early intervention and treatment, prevent the spread of infection, and improve nursing efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of medical care equipment, and in particular to a multifunctional intelligent elastic bandage control method and system. Background Art

[0002] After surgery, patients usually need to use bandages to reduce the tension of abdominal surgical wounds, relieve pain, and promote wound healing. However, traditional bandages have many shortcomings in practical applications.

[0003] First, the pressure adjustment of traditional bandages needs to rely on manual operation, and it cannot be dynamically adjusted according to the actual needs of the patient, which may lead to insufficient or excessive pressure, affecting the recovery of the wound. Secondly, traditional bandages lack wound monitoring functions and cannot provide real-time data during the wound healing process, resulting in nursing staff not being able to understand the condition of the wound in time, delaying necessary nursing measures. In addition, the function of traditional bandages is single, mainly limited to providing physical support and pressure. Patients often face pain problems after surgery. Traditional bandages lack auxiliary pain management functions and cannot effectively relieve patients' pain. For example, hot and cold compress therapy cannot fully relieve patients' pain and promote recovery. Finally, different patients have different abdominal shapes and wound locations. Traditional bandages are difficult to personalize. There may be a sense of oppression or relaxation during use, and discomfort is easy to occur during use, affecting the wearing effect. These problems significantly limit the effectiveness of traditional bandages in postoperative care, and they are in urgent need of improvement and innovation. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a multifunctional intelligent elastic bandage control method and system, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multifunctional intelligent elastic bandage control system, including a dynamic acquisition module, a monitoring module, a data preprocessing module, a dynamic evaluation module and a control module;

[0006] The dynamic acquisition module obtains the patient's real-time status information group through the integrated pressure sensor and gyroscope related sensors;

[0007] The monitoring module monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set;

[0008] The data preprocessing module preprocesses the patient real-time status information group and the real-time wound data group, and integrates the processed patient real-time status information group into a first data set, and integrates the processed real-time wound data group into a second data set;

[0009] The dynamic assessment module fits the acceleration information and angular velocity information of the first data set to obtain: patient activity assessment coefficient Hdxs, fits the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: patient wound assessment coefficient Skxs, and matches it with the preset patient activity assessment threshold H and patient wound assessment threshold S to obtain: patient activity assessment control plan and patient wound assessment early warning plan;

[0010] The control module controls the functional intelligent elastic bandage worn by the patient and notifies relevant personnel according to the patient activity assessment control plan and the patient wound assessment early warning plan.

[0011] Preferably, the dynamic acquisition module includes a dynamic acquisition unit;

[0012] The dynamic acquisition unit obtains the patient's real-time status information group through the integrated pressure sensor, gyroscope sensor and accelerometer, including the gyroscope's X-axis acceleration, Y-axis acceleration, Z-axis acceleration, X-axis angular velocity, Y-axis angular velocity, Z-axis angular velocity and current bandage pressure.

[0013] Preferably, the monitoring module includes a wound collection unit;

[0014] The wound collection unit monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set, including temperature value, wound reflectivity, wound transmittance and wound impedance value;

[0015] Among them, the embedded sensors include: optical sensors, bioelectrical impedance sensors and temperature sensors.

[0016] Preferably, the data preprocessing module includes a first processing unit and a second processing unit;

[0017] The first processing unit preprocesses the patient real-time status information group, including noise filtering and normalization, and integrates and marks the processed patient real-time status information group to form a first data set;

[0018] The first data set includes: an X-axis acceleration value Ax, a Y-axis acceleration value Ay, a Z-axis acceleration value Az, an X-axis angular velocity value Wx, a Y-axis angular velocity value Wy, a Z-axis angular velocity value Wz and a current bandage pressure value Pz;

[0019] The second processing unit preprocesses the real-time wound data group, including noise filtering and normalization processing, and integrates and marks the processed real-time wound data group to form a second data set;

[0020] The second data set includes: a temperature value Wdz, a wound reflectivity value Rz, a wound transmittance value Tz and a wound impedance value Iz.

[0021] Preferably, the dynamic evaluation module includes a fitting unit and a matching unit;

[0022] The fitting unit processes the acceleration information and angular velocity information of the first data set to obtain the total acceleration factor Jxyz and the total angular velocity Jsyz, and then fits the total acceleration factor Jxyz, the total angular velocity Jsyz and the current bandage pressure value Pz to obtain: the patient activity assessment coefficient Hdxs; processes the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: the patient wound assessment coefficient Skxs;

[0023] The matching unit matches the preset patient activity assessment threshold H with the patient activity assessment coefficient Hdxs to obtain: a patient activity assessment control scheme, and matches the preset patient wound assessment threshold S with the patient wound assessment coefficient Skxs to obtain: a patient wound assessment early warning scheme.

[0024] Preferably, the patient activity assessment and regulation scheme is obtained by the following matching method:

[0025] The patient activity assessment coefficient Hdxs is less than the patient activity assessment threshold H, and the result that the patient is currently not within the activity status assessment range is obtained;

[0026] Patient activity assessment coefficient Hdxs ≥ patient activity assessment threshold H, obtain the result of the patient's current activity status assessment range;

[0027] When the patient activity assessment coefficient Hdxs ≥ twice the patient activity assessment threshold H, obtain the result that the patient is currently within the activity warning status assessment range, send a warning notification to the relevant medical staff, and send it with the current patient's unique tag;

[0028] The patient wound assessment and early warning scheme is obtained by the following matching method:

[0029] The patient wound assessment coefficient Skxs is less than the patient wound assessment threshold S, and the current patient wound status is obtained without abnormal assessment results;

[0030] The patient wound assessment coefficient Skxs ≥ the patient wound assessment threshold S, obtains the abnormal assessment result of the current patient's wound status, sends an abnormal notification to the relevant medical staff, and sends it with the relevant unique tag of the current patient.

[0031] Preferably, the control module includes an execution unit and a notification unit;

[0032] The execution unit performs specific execution according to the patient activity assessment and control scheme and the patient wound assessment and early warning scheme, including adjusting the parameters of the functional intelligent elastic bandage worn by the patient to provide dynamic support for the patient, and providing medical staff with a remote control method for the parameters of the functional intelligent elastic bandage;

[0033] The notification unit makes specific notifications based on the patient activity assessment and control plan and the patient wound assessment and early warning plan, including notifying nurses and doctors on duty to go and treat patients with abnormalities, and sending patient vital sign information to nurses at a fixed period to improve the efficiency of nursing work monitoring.

[0034] A multifunctional intelligent elastic bandage control method comprises the following steps:

[0035] Step 1: The dynamic acquisition module obtains the patient's real-time status information group through the integrated pressure sensor and gyroscope related sensors;

[0036] Step 2: The monitoring module monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set;

[0037] Step 3: The data preprocessing module preprocesses the patient real-time status information group and the real-time wound data group, and integrates the processed patient real-time status information group into a first data set, and integrates the processed real-time wound data group into a second data set;

[0038] Step 4: The dynamic assessment module fits the acceleration information and angular velocity information of the first data set to obtain: the patient activity assessment coefficient Hdxs, fits the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: the patient wound assessment coefficient Skxs, and matches it with the preset patient activity assessment threshold H and patient wound assessment threshold S to obtain: the patient activity assessment control plan and the patient wound assessment early warning plan;

[0039] Step 5: The control module controls the functional intelligent elastic bandage worn by the patient and notifies relevant personnel according to the patient activity assessment control plan and the patient wound assessment and early warning plan.

[0040] The present invention provides a multifunctional intelligent elastic bandage control method and system, which has the following beneficial effects:

[0041] (1) When the system is running, the patient's movement status and wound status are collected through the dynamic acquisition module and the monitoring module to obtain the patient's real-time status information group and the real-time wound data group. The data preprocessing module processes and integrates them to obtain the first data set and the second data set. The dynamic evaluation module fits and processes them to obtain the patient's activity evaluation coefficient Hdxs and the patient's wound evaluation coefficient Skxs, and matches them with the preset patient activity evaluation threshold H and the patient's wound evaluation threshold S. The patient's activity evaluation control plan and the patient's wound evaluation early warning plan are obtained, and they are specifically executed and notified according to the content. The parameters of the intelligent elastic bandage are automatically adjusted to provide the patient with the best support and comfort, and the real-time monitored wound status is obtained. Abnormal notifications are sent to relevant medical staff to ensure early intervention and treatment, prevent the spread of infection, reduce the manual control and nursing pressure of medical staff, and improve nursing efficiency.

[0042] (2) By calculating the patient activity assessment coefficient Hdxs and the patient wound assessment coefficient Skxs, the patient's overall movement state and bandage pressure can be monitored in real time, including the X-axis acceleration value Ax, the Y-axis acceleration value Ay, the Z-axis acceleration value Az, the X-axis angular velocity value Wx, the Y-axis angular velocity value Wy, the Z-axis angular velocity value Wz and the current bandage pressure value Pz. In addition, the wound healing condition can be monitored in real time, including the changes in the temperature value Wdz, the wound reflectivity value Rz, the wound transmittance value Tz and the wound impedance value Iz, so as to fully understand the wound condition.

[0043] (3) Through the acquisition of patient activity assessment and control plans and patient wound assessment and early warning plans, as well as the specific implementation of the plan contents, the patient's activity status can be monitored in real time, ensuring that the bandage pressure changes with the patient's activity intensity to provide continuous and appropriate support. At the same time, the pressure can be automatically adjusted according to the patient's activities to provide dynamic support to avoid secondary injuries or discomfort caused by improper pressure. In addition, the wound bleeding and infection can be monitored in real time through embedded sensors, abnormalities can be detected in time, and the wound status can be evaluated and warned in real time. Potential infection risks can be detected early, timely intervention can be made, and the spread of infection can be effectively prevented, ensuring that medical staff can take prompt measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flowchart diagram of a multifunctional intelligent elastic bandage control system of the present invention;

[0045] Figure 2 This is a schematic diagram of the steps of a multifunctional intelligent elastic bandage control method of the present invention. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0047] Example 1

[0048] The present invention provides a multifunctional intelligent elastic bandage control system, please refer to Figure 1 , including dynamic acquisition module, monitoring module, data preprocessing module, dynamic evaluation module and control module;

[0049] The dynamic acquisition module obtains the patient's real-time status information group through the integrated pressure sensor and gyroscope related sensors;

[0050] The monitoring module monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set;

[0051] The data preprocessing module preprocesses the patient real-time status information group and the real-time wound data group, and integrates the processed patient real-time status information group into a first data set, and integrates the processed real-time wound data group into a second data set;

[0052] The dynamic assessment module fits the acceleration information and angular velocity information of the first data set to obtain: patient activity assessment coefficient Hdxs, fits the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: patient wound assessment coefficient Skxs, and matches it with the preset patient activity assessment threshold H and patient wound assessment threshold S to obtain: patient activity assessment control plan and patient wound assessment early warning plan;

[0053] The control module controls the functional intelligent elastic bandage worn by the patient and notifies relevant personnel according to the patient activity assessment control plan and the patient wound assessment early warning plan.

[0054] In this embodiment, the patient's movement status and wound status are collected through the dynamic acquisition module and the monitoring module to obtain the patient's real-time status information group and the real-time wound data group, which are processed and integrated through the data preprocessing module to obtain the first data set and the second data set, which are fitted and processed through the dynamic evaluation module to obtain the patient's activity evaluation coefficient Hdxs and the patient's wound evaluation coefficient Skxs, and matched with the preset patient activity evaluation threshold H and the patient's wound evaluation threshold S to obtain the patient's activity evaluation control plan and the patient's wound evaluation early warning plan, and specifically executed and notified according to the content, automatically adjusting the parameters of the smart elastic bandage to provide the patient with the best support and comfort, and obtaining the real-time monitored wound status, and sending abnormal notifications to relevant medical staff to ensure early intervention and treatment, prevent the spread of infection, reduce the pressure of manual control and nursing work of medical staff, and improve nursing efficiency.

[0055] Example 2

[0056] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the dynamic acquisition module includes a dynamic acquisition unit;

[0057] The dynamic acquisition unit obtains the patient's real-time status information group through the integrated pressure sensor, gyroscope sensor and accelerometer, including the gyroscope's X-axis acceleration, Y-axis acceleration, Z-axis acceleration, X-axis angular velocity, Y-axis angular velocity, Z-axis angular velocity and current bandage pressure.

[0058] The monitoring module includes a wound collection unit;

[0059] The wound collection unit monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set, including temperature value, wound reflectivity, wound transmittance and wound impedance value;

[0060] Among them, the embedded sensors include: optical sensors, bioelectrical impedance sensors and temperature sensors.

[0061] The data preprocessing module includes a first processing unit and a second processing unit;

[0062] The first processing unit preprocesses the patient real-time status information group, including noise filtering and normalization, and integrates and marks the processed patient real-time status information group to form a first data set;

[0063] The first data set includes: an X-axis acceleration value Ax, a Y-axis acceleration value Ay, a Z-axis acceleration value Az, an X-axis angular velocity value Wx, a Y-axis angular velocity value Wy, a Z-axis angular velocity value Wz and a current bandage pressure value Pz;

[0064] Wherein, the noise filtering includes applying a low-pass filter, including a Kalman filter to smooth the data of the X-axis acceleration value Ax, the Y-axis acceleration value Ay, the Z-axis acceleration value Az, the X-axis angular velocity value Wx, the Y-axis angular velocity value Wy and the Z-axis angular velocity value Wz: for example: Ax=LowPassFilter(Ax);

[0065] Normalization processing includes maximum and minimum value normalization processing: for example

[0066] The second processing unit preprocesses the real-time wound data group, including noise filtering and normalization processing, and integrates and marks the processed real-time wound data group to form a second data set;

[0067] The second data set includes: a temperature value Wdz, a wound reflectivity value Rz, a wound transmittance value Tz and a wound impedance value Iz;

[0068] The noise filtering includes applying a low-pass filter to smooth the temperature value Wdz, the wound reflectivity value Rz, the wound transmittance value Tz and the wound impedance value Iz: for example: Rz = LowPassFilter (Rz);

[0069] Normalization processing includes maximum and minimum value normalization processing:

[0070] Example 3

[0071] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the dynamic evaluation module includes a fitting unit and a matching unit;

[0072] The fitting unit processes the acceleration information and angular velocity information of the first data set to obtain the total acceleration factor Jxyz and the total angular velocity Jsyz, and then fits the total acceleration factor Jxyz, the total angular velocity Jsyz and the current bandage pressure value Pz to obtain: the patient activity assessment coefficient Hdxs; processes the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: the patient wound assessment coefficient Skxs;

[0073] The matching unit matches the preset patient activity assessment threshold H with the patient activity assessment coefficient Hdxs to obtain: a patient activity assessment control scheme, and matches the preset patient wound assessment threshold S with the patient wound assessment coefficient Skxs to obtain: a patient wound assessment early warning scheme.

[0074] The patient activity assessment coefficient Hdxs is obtained by the following calculation formula:

[0075]

[0076] In the formula, Hdxs represents the patient activity assessment coefficient, Pz is the current bandage pressure value, Jxyz represents the total acceleration factor, Jsyz represents the total angular velocity, h1 represents the proportional coefficient of the current bandage pressure value Pz, and h2 represents the proportional coefficient of the calculation results of the total acceleration factor Jxyz and the total angular velocity Jsyz. The calculation of the three-axis total acceleration factor Jxyz and the total angular velocity Jsyz reflects the overall movement state of the patient;

[0077] Wherein, 0≤h1≤1, 0≤h2≤1, and h1+h2=1, K represents the correction constant;

[0078] The total acceleration factor Jxyz is obtained by the following calculation formula:

[0079]

[0080] Wherein, Jxyz represents the total acceleration factor, Ax represents the X-axis acceleration value, Ay represents the Y-axis acceleration value, Az represents the Z-axis acceleration value, and Amax represents the maximum value among the X-axis acceleration value Ax, the Y-axis acceleration value Ay, and the Z-axis acceleration value Az;

[0081] The total angular velocity Jsyz is obtained by the following calculation formula:

[0082]

[0083] Wherein, Jsyz represents the total angular velocity, Wx represents the X-axis angular velocity value, Wy represents the Y-axis angular velocity value, Wz represents the Z-axis angular velocity value, and Wmax represents the maximum value among the X-axis angular velocity value Wx, the Y-axis angular velocity value Wy, and the Z-axis angular velocity value Wz.

[0084] The patient wound assessment coefficient Skxs is obtained by the following calculation formula:

[0085]

[0086] Wherein, Skxs represents the patient wound assessment coefficient, Rz represents the wound reflectivity value, Tz represents the wound transmittance value, Iz represents the wound impedance value, and Ws l represents the temperature rise rate. and Respectively represent the preset average values ​​of the wound reflectivity value Rz, the wound transmittance value Tz and the wound impedance value Iz collected without abnormal wounds;

[0087] Among them, the temperature rise rate Ws l is obtained by the following calculation formula:

[0088]

[0089] Where Wsl represents the temperature rise rate, Wdz represents the temperature value, n represents the total number of user temperature samples collected, and i represents the i-th collection of user temperature samples.

[0090] In this embodiment, by calculating the patient activity assessment coefficient Hdxs and the patient wound assessment coefficient Skxs, the patient's overall movement state and bandage pressure are monitored in real time, including the X-axis acceleration value Ax, the Y-axis acceleration value Ay, the Z-axis acceleration value Az, the X-axis angular velocity value Wx, the Y-axis angular velocity value Wy, the Z-axis angular velocity value Wz and the current bandage pressure value Pz, and the wound healing condition is monitored in real time, including the changes in the temperature value Wdz, the wound reflectivity value Rz, the wound transmittance value Tz and the wound impedance value Iz, so as to fully understand the wound condition.

[0091] Example 4

[0092] This embodiment is explained in Example 1, please refer to Figure 1 Specifically: the patient activity assessment and regulation scheme is obtained by the following matching method:

[0093] The patient activity assessment coefficient Hdxs is less than the patient activity assessment threshold H, and the result that the patient is currently not within the activity status assessment range is obtained;

[0094] Patient activity assessment coefficient Hdxs ≥ patient activity assessment threshold H, obtain the result of the patient's current activity status assessment range;

[0095] When the patient activity assessment coefficient Hdxs ≥ twice the patient activity assessment threshold H, obtain the result that the patient is currently within the activity warning status assessment range, send a warning notification to the relevant medical staff, and send it with the current patient's unique tag;

[0096] The patient wound assessment and early warning scheme is obtained by the following matching method:

[0097] The patient wound assessment coefficient Skxs is less than the patient wound assessment threshold S, and the current patient wound status is obtained without abnormal assessment results;

[0098] The patient wound assessment coefficient Skxs ≥ the patient wound assessment threshold S, obtains the abnormal assessment result of the current patient's wound status, sends an abnormal notification to the relevant medical staff, and sends it with the relevant unique tag of the current patient.

[0099] The control module includes an execution unit and a notification unit;

[0100] The execution unit performs specific execution according to the patient activity assessment and control scheme and the patient wound assessment and early warning scheme, including adjusting the parameters of the functional intelligent elastic bandage worn by the patient to provide dynamic support for the patient, and providing medical staff with a remote control method for the parameters of the functional intelligent elastic bandage;

[0101] The notification unit makes specific notifications based on the patient activity assessment and control plan and the patient wound assessment and early warning plan, including notifying nurses and doctors on duty to go and treat patients with abnormalities, and sending patient vital sign information to nurses at a fixed period to improve the efficiency of nursing work monitoring.

[0102] In this embodiment, by obtaining the patient activity assessment and control plan and the patient wound assessment and early warning plan, as well as the specific implementation of the plan content, the patient's activity status can be monitored in real time to ensure that the bandage pressure changes with the patient's activity intensity and provides continuous and appropriate support. At the same time, the pressure can be automatically adjusted according to the patient's activity to provide dynamic support to avoid secondary injury or discomfort caused by improper pressure. In addition, the wound bleeding and infection can be monitored in real time through the embedded sensor, and abnormalities can be detected in time, and the wound status can be evaluated and warned in real time. Potential infection risks can be discovered early, timely intervention can be made, and the spread of infection can be effectively prevented, ensuring that medical staff can take prompt measures.

[0103] Example 5

[0104] A multifunctional intelligent elastic bandage control method, please refer to Figure 2 , specifically: including the following steps:

[0105] Step 1: The dynamic acquisition module obtains the patient's real-time status information group through the integrated pressure sensor and gyroscope related sensors;

[0106] Step 2: The monitoring module monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set;

[0107] Step 3: The data preprocessing module preprocesses the patient real-time status information group and the real-time wound data group, and integrates the processed patient real-time status information group into a first data set, and integrates the processed real-time wound data group into a second data set;

[0108] Step 4: The dynamic assessment module fits the acceleration information and angular velocity information of the first data set to obtain: the patient activity assessment coefficient Hdxs, fits the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: the patient wound assessment coefficient Skxs, and matches it with the preset patient activity assessment threshold H and patient wound assessment threshold S to obtain: the patient activity assessment control plan and the patient wound assessment early warning plan;

[0109] Step 5: The control module controls the functional intelligent elastic bandage worn by the patient and notifies relevant personnel according to the patient activity assessment control plan and the patient wound assessment and early warning plan.

[0110] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multifunctional intelligent elastic bandage control system, characterized in that: It includes dynamic acquisition module, monitoring module, data preprocessing module, dynamic evaluation module and control module; The dynamic acquisition module acquires the patient's real-time status information group through the integrated pressure sensor and gyroscope; The monitoring module monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set; The data preprocessing module preprocesses the patient real-time status information group and the real-time wound data group, and integrates the processed patient real-time status information group into a first data set, and integrates the processed real-time wound data group into a second data set; The dynamic assessment module fits the acceleration information and angular velocity information of the first data set to obtain: patient activity assessment coefficient Hdxs, processes the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: patient wound assessment coefficient Skxs, and matches it with the preset patient activity assessment threshold H and patient wound assessment threshold S to obtain: patient activity assessment control plan and patient wound assessment early warning plan; The control module controls the functional intelligent elastic bandage worn by the patient and notifies relevant personnel according to the patient activity assessment control plan and the patient wound assessment warning plan; The dynamic acquisition module includes a dynamic acquisition unit; The dynamic acquisition unit acquires a patient's real-time status information group, including the gyroscope's X-axis acceleration, Y-axis acceleration, Z-axis acceleration, X-axis angular velocity, Y-axis angular velocity, Z-axis angular velocity and current bandage pressure, through an integrated pressure sensor, gyroscope sensor and accelerometer; The data preprocessing module includes a first processing unit and a second processing unit; The first processing unit preprocesses the patient real-time status information group, including noise filtering and normalization, and integrates and marks the processed patient real-time status information group to form a first data set; The first data set includes: an X-axis acceleration value Ax, a Y-axis acceleration value Ay, a Z-axis acceleration value Az, an X-axis angular velocity value Wx, a Y-axis angular velocity value Wy, a Z-axis angular velocity value Wz and a current bandage pressure value Pz; The second processing unit preprocesses the real-time wound data group, including noise filtering and normalization processing, and integrates and marks the processed real-time wound data group to form a second data set; The second data set includes: a temperature value Wdz, a wound reflectivity value Rz, a wound transmittance value Tz and a wound impedance value Iz; The dynamic evaluation module includes a fitting unit and a matching unit; The fitting unit processes the acceleration information and angular velocity information of the first data set to obtain the total acceleration factor Jxyz and the total angular velocity Jsyz, and then fits the total acceleration factor Jxyz, the total angular velocity Jsyz and the current bandage pressure value Pz to obtain: the patient activity assessment coefficient Hdxs; processes the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: the patient wound assessment coefficient Skxs; The matching unit matches the preset patient activity assessment threshold H with the patient activity assessment coefficient Hdxs to obtain: a patient activity assessment control scheme, and matches the preset patient wound assessment threshold S with the patient wound assessment coefficient Skxs to obtain: a patient wound assessment early warning scheme; The patient activity assessment and control scheme is obtained by the following matching method: The patient activity assessment coefficient Hdxs is less than the patient activity assessment threshold H, and the result that the patient is currently not within the activity status assessment range is obtained; Patient activity assessment coefficient Hdxs ≥ patient activity assessment threshold H, obtain the result of the patient's current activity status assessment range; When the patient activity assessment coefficient Hdxs ≥ twice the patient activity assessment threshold H, obtain the result that the patient is currently within the activity warning status assessment range, send a warning notification to the relevant medical staff, and send it with the current patient's unique tag; The patient wound assessment and early warning scheme is obtained by the following matching method: The patient wound assessment coefficient Skxs is less than the patient wound assessment threshold S, and the current patient wound status is obtained without abnormal assessment results; The patient wound assessment coefficient Skxs ≥ the patient wound assessment threshold S, obtains the abnormal assessment result of the current patient's wound status, sends an abnormal notification to the relevant medical staff, and sends it with the relevant unique tag of the current patient.

2. A multifunctional intelligent elastic bandage control system according to claim 1, characterized in that: The monitoring module includes a wound collection unit; The wound collection unit monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set, including temperature value, wound reflectivity, wound transmittance and wound impedance value; Among them, the embedded sensors include: optical sensors, bioelectrical impedance sensors and temperature sensors.

3. A multifunctional intelligent elastic bandage control system according to claim 1, characterized in that: The control module includes an execution unit and a notification unit; The execution unit performs specific execution according to the patient activity assessment and control scheme and the patient wound assessment and early warning scheme, including adjusting the parameters of the functional intelligent elastic band worn by the patient to provide dynamic support for the patient, and providing medical staff with a remote control method for the parameters of the functional intelligent elastic band; The notification unit makes specific notifications according to the patient activity assessment and control plan and the patient wound assessment and early warning plan, including notifying nurses and doctors on duty to go and treat patients with abnormalities, and sending patient vital sign information to nurses at a fixed period.

4. A multifunctional intelligent elastic bandage control method, implemented based on a multifunctional intelligent elastic bandage control system according to any one of claims 1 to 3, characterized in that: The following steps are involved: Step 1: The dynamic acquisition module obtains the patient's real-time status information group through the integrated pressure sensor and gyroscope; Step 2: The monitoring module monitors the patient's wound in real time through the embedded sensor to obtain a real-time wound data set; Step 3: The data preprocessing module preprocesses the patient real-time status information group and the real-time wound data group, and integrates the processed patient real-time status information group into a first data set, and integrates the processed real-time wound data group into a second data set; Step 4: The dynamic assessment module fits the acceleration information and angular velocity information of the first data set to obtain: the patient activity assessment coefficient Hdxs, fits the wound light reflectance information and bioelectrical impedance information of the second data set to obtain: the patient wound assessment coefficient Skxs, and matches it with the preset patient activity assessment threshold H and patient wound assessment threshold S to obtain: the patient activity assessment control plan and the patient wound assessment early warning plan; Step 5: The control module controls the functional intelligent elastic bandage worn by the patient and notifies relevant personnel according to the patient activity assessment control plan and the patient wound assessment early warning plan.

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