Intelligent gradient negative pressure wound repair system

Abstract

The invention provides an intelligent gradient negative pressure wound repair system. The intelligent gradient negative pressure wound repair system comprises a multi-stage gradient negative pressure control module, an intelligent monitoring and feedback module and a pulse type negative pressure module, wherein the multi-stage gradient negative pressure control module is used for dynamically distributing negative pressure values of a central area and an edge area of a wound surface; the intelligent monitoring and feedback module is used for detecting biological parameters of a wound surface in real time and adjusting negative pressure; the pulse type negative pressure module is used for periodically switching a negative pressure state and a normal pressure state, and relates to the technical field of intelligent gradient negative pressure systems, a multi-stage gradient negative pressure control module accurately provides negative pressure with different intensities according to different stages of wound healing, and provides high negative pressure in the initial stage of a wound so as to effectively drain exudate and remove necrotic tissue; along with gradual healing of the wound surface, the negative pressure intensity is gradually reduced, damage to new tissues is avoided, and normal growth and repair of the tissues are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent gradient negative pressure systems, and particularly to a wound repair system with intelligent gradient negative pressure. Background Art

[0002] Currently, in the treatment of open fractures with soft tissue defects, soft tissue infections, and bone infection wounds, traditional VSD negative pressure suction devices are widely used. It can drain wound exudates, temporarily seal the wound to prevent infection, and at the same time promote blood circulation and granulation tissue growth, thereby promoting wound healing.

[0003] However, in clinical applications, traditional VSD has obvious deficiencies. First, its single pressure setting often leads to problems such as tissue ischemia or insufficient drainage. Second, the flushing and suction tubes are prone to blockage, affecting the treatment effect. Third, the continuous negative pressure state for 24 hours is likely to cause tissue edema reaction, which is not conducive to the good recovery of the wound. Summary of the Invention

[0004] In order to overcome the existing problems, the embodiments of the present application provide a wound repair system with intelligent gradient negative pressure. The multi-stage gradient negative pressure control module accurately provides different intensities of negative pressure according to different stages of wound healing. In the initial stage of the wound, a higher negative pressure is provided to effectively drain exudates and remove necrotic tissue. As the wound gradually heals, the negative pressure intensity gradually decreases, avoiding damage to the newly formed tissue and promoting the normal growth and repair of the tissue.

[0005] The technical solution adopted by the embodiments of the present application to solve its technical problems is:

[0006] A wound repair system with intelligent gradient negative pressure, comprising:

[0007] A multi-stage gradient negative pressure control module, an intelligent monitoring and feedback module, and a pulsed negative pressure module;

[0008] Among them, the multi-stage gradient negative pressure control module is used to dynamically allocate the negative pressure values of the wound central area and the edge area, and according to different stages of wound healing, accurately provide different intensities of negative pressure. In the initial stage of the wound, a higher negative pressure is provided to drain exudates and remove necrotic tissue. As the wound heals, the negative pressure intensity gradually decreases, avoiding damage to the newly formed tissue and promoting the normal growth and repair of the tissue;

[0009] The intelligent monitoring and feedback module is used to detect the wound biological parameters in real time and adjust the negative pressure, and integrate multiple sensors such as a pressure sensor, a temperature sensor, a humidity sensor, and a tissue blood oxygen saturation sensor to monitor various physiological parameters of the wound in real time. The sensors transmit the data to this module, and after analysis and processing, according to the preset algorithm and parameters, the negative pressure intensity and suction frequency are automatically adjusted to realize the intelligence and personalization of the treatment process;

[0010] The pulsed negative pressure module is used to periodically switch between negative pressure and normal pressure states, and during the suction process, the negative pressure acts intermittently on the wound surface in the form of pulses, ensuring effective drainage, reducing the damage to tissues caused by continuous negative pressure, reducing the risk of tissue edema, and at the same time promoting local blood circulation in the wound surface and accelerating wound healing.

[0011] Preferably, the multi-stage gradient negative pressure control module satisfies:

[0012] The negative pressure value P in the central area of the wound center ∈[-150,-100] mmHg;

[0013] The negative pressure value P in the marginal area of the wound edge ∈[-80,-50] mmHg;

[0014] And it satisfies the gradient relationship: |P center |-|P edge |≥30 mmHg;

[0015] Through zonal pressure control, it is used to avoid marginal ischemia and insufficient central drainage.

[0016] Preferably, the intelligent monitoring and feedback module includes:

[0017] A multi-parameter sensor array (detecting the wound impedance R t , temperature T, pH value, drainage fluid flow rate Q);

[0018] An adaptive pressure regulation algorithm that dynamically adjusts the negative pressure according to the tissue state:

[0019]

[0020] wherein, R0 is the baseline impedance, and K1 and K2 are weight coefficients (experimentally optimized values K1 = 0.75, K2 = 1.2).

[0021] Preferably, the adaptive pressure regulation algorithm further includes an infection risk assessment model that uses an LSTM neural network to predict the infection probability:

[0022]

[0023] wherein, x i is the input parameter (impedance change rate, pH value, temperature gradient), w i is the weight, b is the bias term, and σ is the Sigmoid activation function.

[0024] Preferably, the working mode of the pulsed negative pressure working module is:

[0025] Periodic pulse: operating under negative pressure for t1 = 30 min and at atmospheric pressure for an interval of t2 = 5 min;

[0026] Sudden high - pressure pulse: applying P once every T = 2 h burst = - 200 mmHg (lasting for Δt = 10 s) for preventing tube blockage.

[0027] It also includes an anti - clogging drainage tube, whose structure satisfies:

[0028] Porosity

[0029] The inner wall of the drainage tube is coated with a heparin coating to reduce biofilm attachment;

[0030] A micro - vibrator is embedded in the tube wall, with a vibration frequency f = 20 Hz and an amplitude A ≤ 0.1 mm.

[0031] Preferably, the intelligent monitoring and feedback module further includes an optical detection unit for estimating the thickness d of the wound biofilm:

[0032]

[0033] Wherein, is the incident light wavelength, is the phase difference, and n is the refractive index of the biofilm.

[0034] Preferably, the working process of the system includes:

[0035] Initial stage: applying high negative pressure (- 140 mmHg) to promote drainage;

[0036] Granulation growth stage: switching to medium negative pressure (- 100 mmHg) and enabling the pulse mode;

[0037] Late healing stage: adopting low negative pressure (- 60 mmHg) to reduce tissue compression.

[0038] Preferably, the multi - level gradient negative pressure control module is implemented by FPGA to achieve real - time regulation, with a response delay τ < 50 ms.

[0039] It includes the following steps:

[0040] Step 1: Obtaining the wound impedance R t and the drainage rate Q through sensors;

[0041] Step 2: Calculating the ideal negative pressure value P ideal :

[0042]

[0043] Wherein, P base is the reference pressure and α is the adjustment coefficient;

[0044] Step 3: If a risk of tube blockage is detected, trigger the high-pressure pulse mode;

[0045] Step 4: Automatically switch the pressure gradient strategy according to the healing stage.

[0046] The advantages of the embodiments of the present application are as follows:

[0047] 1. The multi-stage gradient negative pressure control module provides different intensities of negative pressure accurately according to different stages of wound healing. In the initial stage of the wound, a higher negative pressure is provided to effectively drain exudates and remove necrotic tissues; as the wound gradually heals, the negative pressure intensity gradually decreases, avoiding damage to the newly formed tissues and promoting the normal growth and repair of tissues.

[0048] 2. By integrating a variety of sensors, such as pressure sensors, temperature sensors, humidity sensors, and tissue oxygen saturation sensors, etc., various physiological parameters of the wound are monitored in real time. These sensors transmit the data to the intelligent monitoring and feedback module, which analyzes and processes the data, and automatically adjusts the negative pressure intensity and suction frequency according to the preset algorithms and parameters, realizing the intelligence and personalization of the treatment process.

[0049] 3. During the suction process, the negative pressure acts on the wound intermittently in the form of pulses, which can not only ensure effective drainage, but also reduce the damage caused by continuous negative pressure to tissues, reduce the risk of tissue edema, and at the same time promote local blood circulation of the wound and accelerate wound healing. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic flow chart of the wound repair system with intelligent gradient negative pressure of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention. In addition, for the convenience of description below, the "upper", "lower", "left", "right", etc. cited are consistent with the upper, lower, left, right, etc. of the accompanying drawings themselves. The "first", "second", etc. in the following are for distinction in description and have no other special meanings.

[0052] Embodiments of the present application provide a wound repair system with intelligent gradient negative pressure to solve the problems in the prior art. The multi-level gradient negative pressure control module provides different intensities of negative pressure accurately according to different stages of wound healing. In the initial stage of the wound, a higher negative pressure is provided to effectively drain exudates and remove necrotic tissues. As the wound gradually heals, the negative pressure intensity gradually decreases to avoid damaging the newly formed tissues and promote the normal growth and repair of tissues. By integrating various sensors, such as pressure sensors, temperature sensors, humidity sensors, and tissue blood oxygen saturation sensors, etc., various physiological parameters of the wound are monitored in real time. These sensors transmit the data to the intelligent monitoring and feedback module, where the data is analyzed and processed, and the negative pressure intensity and suction frequency are automatically adjusted according to the preset algorithms and parameters to achieve the intelligentization and personalization of the treatment process. During the suction process, the negative pressure acts intermittently on the wound in the form of pulses, which can not only ensure an effective drainage effect, but also reduce the damage caused by continuous negative pressure to tissues, reduce the risk of tissue edema, and at the same time promote the local blood circulation of the wound and accelerate wound healing.

[0053] The technical solutions in the embodiments of the present application to solve the above problems are generally as follows:

[0054] Embodiment

[0055] This embodiment provides a wound repair system with intelligent gradient negative pressure, as Figure 1 shown, including:

[0056] A multi-level gradient negative pressure control module, an intelligent monitoring and feedback module, and a pulsed negative pressure module;

[0057] Among them, the multi-level gradient negative pressure control module is used to dynamically allocate the negative pressure values in the central area and the edge area of the wound, and, dynamically allocate the negative pressure values in the central area and the edge area of the wound, and accurately provide different intensities of negative pressure according to different stages of wound healing. A higher negative pressure is provided in the initial stage of the wound to drain exudates and remove necrotic tissues. As the wound heals, the negative pressure intensity gradually decreases to avoid damaging the newly formed tissues and promote the normal growth and repair of tissues;

[0058] The intelligent monitoring and feedback module is used to detect the biological parameters of the wound in real time and adjust the negative pressure, and, integrate various sensors such as pressure sensors, temperature sensors, humidity sensors, and tissue blood oxygen saturation sensors to monitor various physiological parameters of the wound in real time. The sensors transmit the data to this module, and after analysis and processing, the negative pressure intensity and suction frequency are automatically adjusted according to the preset algorithms and parameters to achieve the intelligentization and personalization of the treatment process;

[0059] The pulsed negative pressure module is used to periodically switch between negative pressure and atmospheric pressure states, and during the suction process, make the negative pressure act intermittently on the wound surface in the form of pulses, ensuring effective drainage, reducing the damage of continuous negative pressure to tissues, reducing the risk of tissue edema, promoting local blood circulation in the wound surface, and accelerating wound healing.

[0060] The multi-level gradient negative pressure control module satisfies:

[0061] The negative pressure value P in the central area of the wound surface center ∈[-150,-100] mmHg;

[0062] The negative pressure value P in the marginal area of the wound surface edge ∈[-80,-50] mmHg;

[0063] And satisfies the gradient relationship: |P center |-|P edge |≥30 mmHg;

[0064] Through zonal pressure control, it is used to avoid marginal ischemia and insufficient central drainage.

[0065] The intelligent monitoring and feedback module includes:

[0066] A multi-parameter sensor array (detecting the wound surface impedance R t , temperature T, pH value, drainage fluid flow rate Q);

[0067] An adaptive pressure regulation algorithm that dynamically adjusts the negative pressure according to the tissue state:

[0068]

[0069] Among them, R0 is the baseline impedance, and K1, K2 are weight coefficients (experimentally optimized values K1 = 0.75, K2 = 1.2).

[0070] The adaptive pressure regulation algorithm further includes an infection risk assessment model that uses an LSTM neural network to predict the infection probability:

[0071]

[0072] Among them, x i is the input parameter (impedance change rate, pH value, temperature gradient), w i is the weight, b is the bias term, and σ is the Sigmoid activation function.

[0073] The working mode of the pulsed negative pressure working module is:

[0074] Periodic pulse: The negative pressure works for t1 = 30 min, and the atmospheric pressure interval is t2 = 5 min;

[0075] Sudden high - pressure pulse: Apply P once every T = 2h burst = - 200 mmHg (lasting for Δt = 10s) to prevent tube blockage.

[0076] It also includes an anti - blockage drainage tube, whose structure satisfies:

[0077] Porosity

[0078] The inner wall of the drainage tube is coated with a heparin coating to reduce biofilm attachment;

[0079] A micro - vibrator is embedded in the tube wall, with a vibration frequency f = 20Hz and an amplitude A ≤ 0.1mm.

[0080] The intelligent monitoring and feedback module further includes an optical detection unit for estimating the thickness d of the wound biofilm:

[0081]

[0082] where is the incident light wavelength, is the phase difference, and n is the refractive index of the biofilm.

[0083] The working process of the system includes:

[0084] Initial stage: Apply high negative pressure (- 140 mmHg) to promote drainage;

[0085] Granulation growth stage: Switch to medium negative pressure (- 100 mmHg) and enable the pulse mode;

[0086] Late healing stage: Adopt low negative pressure (- 60 mmHg) to reduce tissue compression.

[0087] The multi - level gradient negative pressure control module is implemented by FPGA to achieve real - time regulation, with a response delay τ < 50ms.

[0088] It includes the following steps:

[0089] Step 1: Obtain the wound impedance R t and the drainage rate Q through sensors;

[0090] Step 2: Calculate the ideal negative pressure value P ideal :

[0091]

[0092] where P base is the reference pressure and α is the adjustment coefficient;

[0093] Step 3: If a tube blockage risk is detected, trigger the high - pressure pulse mode;

[0094] Step 4: Automatically switch the pressure gradient strategy according to the healing stage.

[0095] Implementation of the multi-level gradient negative pressure control module: A microprocessor is combined with a pressure regulating valve to achieve dynamic distribution of negative pressure values in different regions. By presetting a correspondence table between the healing stage and the negative pressure value, the microprocessor determines the healing stage based on time or the monitored wound state and adjusts the negative pressure.

[0096] Implementation of the intelligent monitoring and feedback module: Various sensors, such as pressure sensors, are installed near the wound on the drainage tube, and temperature sensors are attached to the wound skin, installed on the wound or in the drainage system. The data collected by the sensors is transmitted through wired transmission or wireless Bluetooth to the microprocessor of the intelligent monitoring and feedback module. The microprocessor processes the data according to a preset algorithm that adjusts the negative pressure intensity and suction frequency based on the degree of deviation of different parameters from the normal range and controls the negative pressure regulating device.

[0097] Implementation of the pulsed negative pressure module: An electromagnetic valve is combined with a controller to control the periodic switching of the negative pressure. Appropriate switching periods and negative pressure and atmospheric pressure action times are set, such as one cycle every 30 seconds, with 20 seconds of negative pressure action and 10 seconds of atmospheric pressure action.

[0098] Finally, it should be noted that: Obviously, the above embodiments are merely examples for clearly illustrating the present invention and are not intended to limit the implementation manners. For those of ordinary skill in the art, other different forms of changes or variations can be made based on the above description. It is not necessary and impossible to enumerate all the implementation manners here. The obvious changes or variations derived therefrom still fall within the protection scope of the present invention.

Claims

1. A wound repair system with intelligent gradient negative pressure, characterized in that It includes: A multi-level gradient negative pressure control module, an intelligent monitoring and feedback module, and a pulsed negative pressure module; Among them, the multi-level gradient negative pressure control module is used to dynamically allocate the negative pressure values in the central area and the edge area of the wound surface; The intelligent monitoring and feedback module is used to detect the biological parameters of the wound surface in real time and adjust the negative pressure; The pulsed negative pressure module is used to periodically switch between the negative pressure and the atmospheric pressure states.

2. The intelligent gradient negative pressure wound repair system according to claim 1, wherein, The multi-level gradient negative pressure control module satisfies: Negative pressure value P in the central area of the wound surface center ∈[-150, -100] mmHg; Negative pressure value P in the wound edge area edge ∈[-80, -50] mmHg; and satisfy the gradient relationship: |P center | - |P edge | ≥ 30 mmHg; Through zonal pressure control, it is used to avoid marginal ischemia and insufficient central drainage.

3. The intelligent gradient negative pressure wound repair system according to claim 1, wherein The intelligent monitoring and feedback module includes: Multi-parameter sensor array (detecting wound impedance R t , temperature T, pH value, drainage fluid flow rate Q); An adaptive pressure regulation algorithm that dynamically adjusts the negative pressure according to the tissue state: Among them, R0 is the baseline impedance, and K1 and K2 are weight coefficients (the experimentally optimized values are K1 = 0.75 and K2 = 1.2).

4. The intelligent gradient negative pressure wound repair system according to claim 1, wherein, The adaptive pressure regulation algorithm further includes an infection risk assessment model that uses an LSTM neural network to predict the infection probability: where x i is an input parameter (impedance change rate, pH value, temperature gradient), w i is the weight, b is the bias term, and σ is the Sigmoid activation function.

5. The intelligent gradient negative pressure wound repair system according to claim 1, wherein The working mode of the pulsed negative pressure working module is: Periodic pulse: The negative pressure works for t1 = 30 min, and the atmospheric pressure interval is t2 = 5 min; Sudden high-pressure pulse: Apply P once every T = 2h burst = -200 mmHg (lasting for Δt = 10 s) for preventing pipe blockage.

6. The intelligent gradient negative pressure wound repair system according to claim 1, characterized in that It also includes an anti-clogging drainage tube, and its structure satisfies: Porosity The inner wall of the drainage tube is coated with a heparin coating to reduce biofilm attachment; A micro vibrator is embedded in the tube wall, with a vibration frequency f = 20 Hz and an amplitude A ≤ 0.1 mm.

7. The smart gradient negative pressure wound repair system according to claim 1, characterized in that, The intelligent monitoring and feedback module further includes an optical detection unit for estimating the thickness d of the biofilm on the wound surface: where θ is the wavelength of the incident light, is the phase difference, and n is the refractive index of the biofilm.

8. The intelligent gradient negative pressure wound repair system according to claim 1, wherein, The working process of the system includes: Initial stage: Apply a high negative pressure (-140 mmHg) to promote drainage; Granulation growth stage: Switch to a medium negative pressure (-100 mmHg) and enable the pulsed mode; Late healing stage: Use a low negative pressure (-60 mmHg) to reduce tissue compression.

9. The intelligent gradient negative pressure wound repair system according to claim 1, characterized in that, The multi-level gradient negative pressure control module uses an FPGA to achieve real-time regulation, and the response delay τ < 50 ms.

10. A control method for a wound repair system with intelligent gradient negative pressure according to claims 1-9, characterized in that, It includes the following steps: Step 1: Obtain the wound impedance R through a sensor t and the drainage rate Q; Step 2: Calculate the ideal negative pressure value P ideal : where P base is the reference pressure and α is the adjustment coefficient; Step three: If a tube blockage risk is detected, trigger the high-pressure pulse mode; Step four: Automatically switch the pressure gradient strategy according to the healing stage.

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