A method and apparatus for thrombus monitoring and compensation

Abstract

The application is suitable for the medical technology field, and provides a blood clot monitoring and compensation method and device. The blood clot monitoring and compensation method integrates a bio-compatible metal-liquid contact potential-based inert electrode on a blood vessel stent between a potential difference signal set of a plurality of working electrodes, establishes a mathematical model of the potential difference signal set and blood clot characteristic information, wherein the blood clot characteristic information includes a blood clot blockage degree and a blood clot blockage position; the potential difference signal set is compensated according to actual blood viscosity and conductivity, and accurate blood clot characteristic information is obtained according to the mathematical model through an accurate potential difference signal set obtained after compensation. The application can solve the problem that blood clot early warning cannot be directly, timely and accurately performed in the prior art.

Description

Technical Field

[0001] This application relates to the field of medical technology, and in particular to a method and device for thrombosis monitoring and compensation. Background Technology

[0002] Currently, methods for detecting thrombosis are mainly divided into two categories: imaging methods and non-imaging methods. Imaging methods include angiography, ultrasound imaging, and laser speckle contrast imaging. Among these, angiography and other methods require contrast agents, while ultrasound imaging and other methods require active signal transmission. These methods are widely used in clinical practice, but none of them can achieve real-time monitoring of thrombosis. Non-imaging methods, such as bioelectrical impedance analysis and near-infrared spectroscopy, can achieve real-time monitoring of thrombosis and are simple to operate. However, due to the low signal-to-noise ratio of the measurement signal and the large influence of the external environment on the measurement results, the measurement error is relatively large.

[0003] Therefore, real-time and accurate thrombosis early warning is of great significance to the life and health of patients with implanted stents. Summary of the Invention

[0004] This application provides a method and apparatus for thrombosis monitoring and compensation, which can solve the problem that existing technologies cannot directly, in real time and accurately provide thrombosis early warning.

[0005] This application provides a method for thrombosis monitoring and compensation, including the following steps:

[0006] S1. By using the potential difference signal set between an inert electrode based on biocompatible metal-liquid contact potential integrated on a vascular stent and multiple working electrodes, a mathematical model is established for the potential difference signal set and thrombus characteristic information; wherein, the thrombus characteristic information includes the degree of thrombus blockage and the location of thrombus blockage.

[0007] S2. The potential difference signal set is compensated based on the actual blood viscosity and conductivity. The accurate potential difference signal set obtained after compensation is used to obtain accurate thrombus characteristic information based on the mathematical model.

[0008] Optionally, step S1 specifically includes:

[0009] S11. A vascular stent, which integrates an inert electrode and multiple working electrodes through a biocompatible thin film, is implanted into a flexible tube that simulates a blood vessel;

[0010] S12. Pump the reference blood into the tubing at a fixed pulse rate and a fixed stroke volume;

[0011] S13. Simulate different degrees and locations of thrombus blockage in the tubing;

[0012] S14. Obtain the potential difference signal set between the inert electrode and multiple working electrodes when simulating different degrees and locations of thrombus blockage in the tubing;

[0013] S15. Establish a mathematical model of the potential difference signal set and thrombus characteristic information.

[0014] Optionally, in step S2, the potential difference signal set is compensated according to the actual blood viscosity, specifically including the following steps:

[0015] A1. Prepare simulated blood with different viscosities;

[0016] A2. Obtain a set of potential difference signals in simulated blood of different viscosities;

[0017] A3. Establish a model to simulate the relationship between viscosity and potential difference signals in blood;

[0018] A4. Based on the viscosity data of actual blood and the relationship model between the viscosity and potential difference signal set in simulated blood, the potential difference signal set in actual blood is compensated.

[0019] Optionally, establishing a model of the relationship between viscosity and potential difference signals in simulated blood specifically includes: performing curve fitting on the viscosity and potential difference signal sets to obtain a model of the relationship between viscosity and potential difference signal sets.

[0020] Optionally, in step S2, compensating the potential difference signal set based on the actual blood conductivity specifically includes the following steps:

[0021] B1. Configure simulated blood with different electrical conductivities;

[0022] B2. Obtain a set of potential difference signals in simulated blood with different electrical conductivities;

[0023] B3. Establish a model to simulate the relationship between conductivity and potential difference signal sets in blood;

[0024] B4. Based on the actual blood conductivity data and the model of the relationship between conductivity and potential difference signal set in simulated blood, the potential difference signal set in actual blood is compensated.

[0025] Optionally, establishing a model of the relationship between conductivity and potential difference signal set in simulated blood specifically includes: performing curve fitting on conductivity and potential difference signal set to obtain a model of the relationship between conductivity and potential difference signal set.

[0026] Optionally, the working electrode is made of one of tantalum, titanium, stainless steel, or nickel-titanium alloy; the inert electrode is made of one of gold, silver, or platinum.

[0027] This application also provides a thrombosis monitoring and compensation device, comprising:

[0028] Vascular stents;

[0029] Inert electrodes and multiple working electrodes based on biocompatible metal-liquid contact potential are integrated onto a vascular stent via a biocompatible thin film.

[0030] The signal acquisition module differentially amplifies the potential difference signal between the inert electrode and multiple working electrodes, and then acquires it through an analog-to-digital converter.

[0031] The wireless transmission module uses NFC communication technology to wirelessly transmit the collected potential difference signal to an external device.

[0032] The data processing and display module integrates a mathematical model and a compensation model between the potential difference signal set and thrombus characteristic information. It combines the potential difference signal set transmitted to external devices with the actual blood viscosity and conductivity to obtain accurate thrombus characteristic information and displays it.

[0033] The power module wirelessly supplies power to the signal acquisition module and microcontroller through a wireless power transmission unit, a receiving coil, a bridge rectifier circuit, and a filter circuit.

[0034] The above-mentioned solution in this application has the following beneficial effects:

[0035] This application is based on a thrombosis monitoring and compensation method and device. By establishing a model of the potential difference signal set of an inert electrode and multiple working electrodes and thrombosis characteristic information, and compensating for the influence of relevant physicochemical parameters on the potential difference signal set, the spatiotemporal resolution and measurement accuracy of thrombosis monitoring and early warning are improved. Furthermore, the working electrode and the inert electrode are very small in size and will not have a significant impact on the surrounding hemodynamic parameters. The biocompatible metal material used can directly contact the blood and perform long-term stable measurement, realizing real-time and accurate monitoring and early warning of thrombosis.

[0036] Other beneficial effects of this application will be described in detail in the following detailed description section. Attached Figure Description

[0037] Figure 1 A flowchart illustrating the thrombosis monitoring and compensation method provided in this application;

[0038] Figure 2 A schematic diagram illustrating the relationship between the potential difference between the tantalum and gold electrodes provided in this application and the degree of thrombus blockage;

[0039] Figure 3 A schematic diagram illustrating the relationship between the potential difference between the tantalum and gold electrodes and the distance to thrombus formation, provided in this application.

[0040] Figure 4 A schematic diagram illustrating the relationship between the potential difference between the tantalum and gold electrodes provided in this application and the viscosity in simulated blood.

[0041] Figure 5 A schematic diagram illustrating the relationship between the potential difference between the tantalum and gold electrodes and the conductivity in simulated blood, provided in this application.

[0042] Figure 6 This is a schematic diagram of the thrombosis monitoring and compensation device provided in this application;

[0043] Figure 7 A schematic diagram of the thrombosis monitoring and compensation device provided in this application;

[0044] Figure 8 for Figure 7 The side view of the thrombosis monitoring and compensation device shown.

[0045] [Explanation of Labels in the Attached Images]

[0046] 1. Vascular stent; 2. Wireless signal receiving module; 3. Power supply module; 31. Wireless power supply transmitting unit; 32. Power receiving coil; 33. Bridge rectifier circuit; 34. Filtering circuit; 4. Data processing and display module; 5. Biocompatible film; 6. Signal acquisition module; 61. Differential amplifier circuit; 62. Analog-to-digital converter; 7. Wireless signal transmitting module; 8. Microcontroller; 9. Inert electrode; 10. Working electrode. Detailed Implementation

[0047] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0048] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0049] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0050] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0051] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0052] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0053] Currently, existing technologies cannot provide direct, real-time, and accurate early warning of thrombosis.

[0054] To address the aforementioned problems, this application provides a method for thrombosis monitoring and compensation, such as... Figure 1 As shown, this thrombosis monitoring and compensation method includes the following steps:

[0055] S1. By using the potential difference signal set between an inert electrode based on biocompatible metal-liquid contact potential integrated on a vascular stent and multiple working electrodes, a mathematical model is established for the potential difference signal set and thrombus characteristic information; wherein, the thrombus characteristic information includes the degree of thrombus blockage and the location of thrombus blockage.

[0056] S2. The potential difference signal set is compensated based on the actual blood viscosity and conductivity. The accurate potential difference signal set obtained after compensation is used to obtain accurate thrombus characteristic information based on the mathematical model.

[0057] The thrombosis monitoring compensation method establishes a mathematical model based on the potential difference signal set between each working electrode and the inert electrode and thrombosis feature information. Thrombosis feature information can be obtained from the potential difference signal set. The potential difference signal set is compensated by the influence of the viscosity and conductivity of the actual blood to obtain an accurate potential difference signal, and thus obtain accurate thrombosis feature information.

[0058] The thrombosis monitoring compensation method of this application establishes a mathematical model based on the potential difference signal set between each working electrode and the inert electrode and thrombosis feature information. Thrombosis feature information can be obtained through the potential difference signal set. The potential difference signal set is compensated by the influence of the viscosity and conductivity of actual blood to obtain an accurate potential difference signal, and thus obtain accurate thrombosis feature information.

[0059] When a thrombus occurs, it causes a change in the potential difference signal set between the inert electrode based on the biocompatible metal-liquid contact potential and multiple working electrodes. The inert electrode provides a relatively stable potential, while the potential of the working electrodes changes according to the thrombus situation. The degree of potential difference change is related to the degree and location of thrombus blockage. The greater the degree of thrombus blockage, the greater the degree of potential difference change. When the blockage occurs upstream of the vascular stent in the blood vessel, the potential difference signal decreases, and when the blockage occurs downstream of the vascular stent in the blood vessel, the potential difference signal increases.

[0060] In some embodiments of this application, step S1 specifically includes:

[0061] S11. A vascular stent, which integrates an inert electrode and multiple working electrodes through a biocompatible thin film, is implanted into a flexible tube that simulates a blood vessel;

[0062] S12. Pump the reference blood into the tubing at a fixed pulse rate and a fixed stroke volume;

[0063] S13. Simulate different degrees and locations of thrombus blockage in the tubing;

[0064] S14. Obtain the potential difference signal set between the inert electrode and multiple working electrodes when simulating different degrees and locations of thrombus blockage in the tubing;

[0065] S15. Establish a mathematical model of the potential difference signal set and thrombus characteristic information.

[0066] In some embodiments of this application, the working electrode is made of one of tantalum, titanium, stainless steel, or nickel-titanium alloy; the inert electrode is made of one of gold, silver, or platinum.

[0067] It should be noted that when the size or location of a thrombus changes within a blood vessel, the potential of the working electrode changes, while the potential of the inert electrode remains essentially constant. Choosing gold, silver, and platinum as inert electrodes can ensure that the potential remains essentially constant. The working electrode can be made of materials such as 316L stainless steel or nickel-titanium alloy, but this application uses tantalum as the material for the working electrode because tantalum has excellent corrosion resistance and good biocompatibility.

[0068] The following are exemplary descriptions of some embodiments provided in this application:

[0069] Taking tantalum and gold at fixed positions on an integrated vascular stent as the working and inert electrodes, respectively, as an example, a pulse rate of 60 beats / minute and a stroke volume of 60 mL were set. A glycerol aqueous solution with a volume ratio of 20:80 was used to simulate the density and viscosity of blood, serving as a reference blood sample. The tantalum vascular stent was implanted into an artificial blood vessel made of expanded polytetrafluoroethylene (ePTFE) with an inner diameter of 6.4 mm. A hollow PTFE cylinder was used to simulate a thrombus. The degree of thrombus blockage (i.e., the size of the thrombus) was controlled by changing the annular cross-sectional area of ​​the hollow PTFE cylinder. For example, the outer diameter of the hollow cylinder could be 6.4 mm, equal to the inner diameter of the artificial blood vessel. Changing the inner diameter of the hollow cylinder altered the degree of blockage.

[0070] like Figure 2 As shown, at a distance of 4 cm downstream of the tantalum electrode fixed to the vascular stent, the potential difference Vpp between tantalum and gold was 6 mV, 10 mV, 15 mV, and 50 mV respectively when the degree of occlusion was 0%, 40%, 60%, and 99%. A mathematical model was established between the potential difference Vpp between tantalum and gold and the degree of thrombus occlusion, which is: y = 6E-05x 3 -0.0031x 2 +0.1208x+6. Where y represents the potential difference Vpp between the tantalum and gold electrodes, and x represents the degree of thrombus blockage.

[0071] like Figure 3 As shown, when the blockage degree is 70%, and the blockage location is 4cm, 3cm, 2cm, 1cm, 0.5cm, and 0cm upstream of the vascular stent, the acquired potential difference signals are 8mV, 6.64mV, 5.4mV, 4.8mV, 4.3mV, and 3.5mV, respectively. The mathematical model establishing the relationship between Vpp and the simulated distance between the thrombus and the vascular stent is: y = -0.0172d 5 +0.1252d 4 -0.188d 3 -0.2649d 2 +

[0072] 1.1249d+2.1. Where y represents the potential difference Vpp between the tantalum and gold electrodes, and d represents the distance from where the thrombus occurred.

[0073] In some embodiments of this application, step S2, compensating for the potential difference signal set based on the actual blood viscosity, specifically includes the following steps:

[0074] A1. Prepare simulated blood with different viscosities;

[0075] A2. Obtain a set of potential difference signals in simulated blood of different viscosities;

[0076] A3. Establish a model to simulate the relationship between viscosity and potential difference signals in blood;

[0077] A4. Based on the viscosity data of actual blood and the relationship model between the viscosity and potential difference signal set in simulated blood, the potential difference signal set in actual blood is compensated.

[0078] In some embodiments of this application, establishing a model of the relationship between viscosity and potential difference signals in simulated blood specifically includes: performing curve fitting on the viscosity and potential difference signals to obtain a model of the relationship between viscosity and potential difference signals.

[0079] like Figure 4 As shown, the glycerol volume fraction in simulated blood was adjusted. The glycerol volume fraction in simulated blood can represent viscosity. Four different viscosity levels of simulated blood were obtained with glycerol to water volume ratios of 10:90, 20:80, 30:70, and 40:60. The pulse rate and stroke volume were set to 60 beats / minute and 60 mL, respectively. The potential difference signals obtained for the simulated blood at different viscosities were 11.93 mV, 6.01 mV, 3.94 mV, and 2.59 mV. The relationship between the potential difference signal and viscosity is modeled as: y = -0.3009v + 13.64, where y represents the potential difference Vpp between the tantalum and gold electrodes, and v represents the glycerol volume fraction.

[0080] In some embodiments of this application, step S2, compensating the potential difference signal set based on the actual blood conductivity, specifically includes the following steps:

[0081] B1. Configure simulated blood with different electrical conductivities;

[0082] B2. Obtain a set of potential difference signals in simulated blood with different electrical conductivities;

[0083] B3. Establish a model to simulate the relationship between conductivity and potential difference signal sets in blood;

[0084] B4. Based on the actual blood conductivity data and the model of the relationship between conductivity and potential difference signal set in simulated blood, the potential difference signal set in actual blood is compensated.

[0085] In some embodiments of this application, establishing a model of the relationship between conductivity and potential difference signal set in simulated blood specifically includes: performing curve fitting on conductivity and potential difference signal set to obtain a model of the relationship between conductivity and potential difference signal set.

[0086] like Figure 5 As shown, the conductivity of simulated blood was adjusted by adding sodium chloride to a glycerol aqueous solution with a volume ratio of 20:80. Six groups of simulated blood with different conductivity values ​​(14.3 μS / cm, 132 μS / cm, 1200 μS / cm, 7740 μS / cm, 11600 μS / cm, and 14400 μS / cm) were obtained. The pulse rate and stroke volume were set to 60 beats / minute and 60 mL, respectively. The potential difference signals between the tantalum vascular stent and the gold electrode in the simulated blood with different conductivity values ​​were obtained as follows: 6 mV, 1.71 mV, 0.63 mV, 0.096 mV, 0.048 mV, and 0.04 mV, respectively. The relationship model established by fitting the potential difference signal and conductivity is: y = 54.602c -0.723 Where y represents the potential difference Vpp between the tantalum and gold electrodes, and c represents the conductivity.

[0087] It should be noted that the potential difference signal is a single measurement of the potential difference between a working electrode and an inert electrode. When it is necessary to obtain thrombus feature information, the set of potential difference signals between each working electrode and an inert electrode is taken, and the thrombus feature information is calculated by a multivariate regression algorithm.

[0088] This application also provides a thrombosis monitoring and compensation device, such as Figures 6 to 8 As shown, the thrombosis monitoring and compensation device used in the above-mentioned thrombosis monitoring and compensation method includes:

[0089] The system comprises: a vascular stent 1; an inert electrode 9 and multiple working electrodes 10 integrated on the vascular stent 1 via a biocompatible thin film 5 based on the biocompatible metal-liquid contact potential; a signal acquisition module 6, which differentially amplifies the potential difference signal between the inert electrode 9 and the multiple working electrodes 10, and then acquires it via an analog-to-digital converter 62; a wireless transmission module, which wirelessly transmits the acquired potential difference signal to an external device using NFC communication technology; a data processing and display module 4, which integrates a mathematical model and a compensation model between the potential difference signal set and thrombus characteristic information, and combines the potential difference signal set transmitted to the external device with the viscosity and conductivity of actual blood to obtain accurate thrombus characteristic information and display it; and a power supply module 3, which wirelessly powers the signal acquisition module 6 and the microcontroller 8 via a wireless power supply transmitter 31, a receiving coil 32, a bridge rectifier circuit 33, and a filter circuit 34.

[0090] The thrombosis monitoring and compensation device of this application includes a vascular stent 1; an inert electrode 9 and multiple working electrodes 10 integrated on the vascular stent 1 via a biocompatible film 5 based on the biocompatible metal-liquid contact potential; a signal acquisition module 6, which differentially amplifies the potential difference signal between the inert electrode 9 and the multiple working electrodes 10, and then acquires it through an analog-to-digital converter 62; a wireless transmission module, which wirelessly transmits the acquired potential difference signal to an external device using NFC communication technology; a data processing and display module 4, which integrates a mathematical model and a compensation model between the potential difference signal set and thrombosis characteristic information, and combines the potential difference signal set transmitted to the external device with the viscosity and conductivity of actual blood to obtain accurate thrombosis characteristic information and display it; and a power supply module 3, which wirelessly powers the signal acquisition module 6 and the microcontroller 8 through a wireless power supply transmitter 31, a receiving coil 32, a bridge rectifier circuit 33, and a filter circuit 34, so that the thrombosis monitoring and compensation device can directly achieve real-time and accurate early warning of thrombosis.

[0091] In some embodiments of this application, such as Figures 6 to 8The thrombosis monitoring and compensation device shown includes a vascular stent 1, a wireless signal receiving module 2, a power supply module 3, a data processing and display module 4, and a signal acquisition module 6, a wireless signal transmitting module 7, a microcontroller 8, an inert electrode 9, and multiple working electrodes 10 integrated on the vascular stent 1 via a biocompatible film 5. The biocompatible film 5 is made of insulating material. The signal acquisition module 6 is electrically connected to the inert electrode 9 and each working electrode 10, and is used to acquire the potential difference between the inert electrode 9 and each working electrode 10. The microcontroller 8 is electrically connected to the signal acquisition module 6 and the wireless signal transmitting module 7, and is used to receive the potential difference signal and transmit the potential difference signal to the wireless signal receiving module 2 via the wireless signal transmitting module 7. The wireless signal receiving module 2 is electrically connected to the data processing and display module 4, and is used to process the potential difference signal received by the wireless signal receiving module 2 and convert it into the corresponding degree of thrombosis and the distance between the thrombus and the vascular stent 1, and display it on the data processing and display module 4. The power supply module 3 is used to supply power to the signal acquisition module 6 and the microcontroller 8.

[0092] The thrombosis monitoring and compensation device of this application includes a vascular stent 1, a wireless signal receiving module 2, a power supply module 3, a data processing and display module 4, and a signal acquisition module 6, a wireless signal transmitting module 7, a microcontroller 8, an inert electrode 9, and multiple working electrodes 10 integrated on the vascular stent 1 via a biocompatible film 5. The biocompatible film 5 is made of insulating material. The inert electrode 9 is electrically connected to each working electrode 10 via the signal acquisition module 6, and the signal acquisition module 6 is used to acquire the potential difference between the inert electrode 9 and each working electrode 10. The microcontroller 8 is electrically connected to both the signal acquisition module 6 and the wireless signal transmitting module 7. The microcontroller 8 is used to... The device receives the potential difference signal and transmits it to the wireless signal receiving module 2 via the wireless signal transmitting module 7. The wireless signal receiving module 2 is electrically connected to the data processing and display module 4. The data processing and display module 4 processes the potential difference signal received by the wireless signal receiving module 2 and converts it into the corresponding degree of thrombus blockage and the distance to the vascular stent 1, and displays it on the data processing and display module 4. The power supply module 3 supplies power to the signal acquisition module 6 and the microcontroller 8. The device fits the potential difference between each working electrode 10 and the inert electrode 9 with the thrombus state in the blood vessel. Through this thrombus monitoring and compensation device, real-time and accurate early warning of thrombus is directly achieved.

[0093] It should be noted that the aforementioned signal acquisition module 6, wireless signal transmission module 7, microcontroller 8, inert electrode 9, and multiple working electrodes 10 can also be integrated into artificial blood vessels, medical catheters, or needles. When integrated into medical catheters or needles, wired signal transmission can be used instead of the wireless transmission method described in this application.

[0094] In some embodiments of this application, such as Figure 6 As shown, the signal acquisition module 6 includes a differential amplifier circuit 61 and an analog-to-digital converter 62. The differential amplifier circuit 61 is electrically connected to each working electrode 10 and the inert electrode 9, respectively. The input terminal of the analog-to-digital converter 62 is electrically connected to the output terminal of the differential amplifier circuit 61, and the output terminal of the analog-to-digital converter 62 is electrically connected to the microcontroller 8.

[0095] The differential amplifier circuit 61 is used to acquire the potential difference signal between each working electrode 10 and the inert electrode 9, and the analog-to-digital converter 62 is used to convert the potential difference signal acquired by the differential amplifier circuit 61 into a digital signal and transmit it to the microcontroller 8.

[0096] In some embodiments of this application, such as Figure 6 As shown, the power module 3 includes a wireless power supply transmitting unit 31 and a wireless power supply receiving unit integrated on the vascular stent 1. The wireless power supply receiving unit is electrically connected to the differential amplifier circuit 61 and the microcontroller 8.

[0097] In some specific embodiments, the wireless power supply transmitting unit 31 includes a power supply, an inverter connected to the power supply for converting DC power to AC power, and a wireless power supply transmitting coil. The wireless power supply receiving unit includes a receiving coil 32 integrated on the vascular stent 1, a bridge rectifier circuit 33, and a filter circuit 34. The output terminal of the receiving coil 32 is electrically connected to the input terminal of the bridge rectifier circuit 33, the output terminal of the bridge rectifier circuit 33 is electrically connected to the input terminal of the filter circuit 34, the first output terminal of the filter circuit 34 is electrically connected to the input terminal of the differential amplifier circuit 61, and the second output terminal of the filter circuit 34 is electrically connected to the input terminal of the microcontroller 8.

[0098] The wireless power transmission coil in the wireless power transmission unit 31, together with the receiving coil 32 in the wireless power receiving unit, uses wireless power technology to provide power. The AC power in the receiving coil 32 is converted into DC power by the bridge rectifier circuit 33 and the filter circuit 34 to power the differential amplifier circuit 61 and the microcontroller 8.

[0099] In some embodiments of this application, the wireless signal transmitting module 7 includes an NFC transmitting coil, and the wireless signal receiving module 2 can be an NFC receiving coil.

[0100] The aforementioned NFC transmitting coil transmits the potential difference signal transmitted by the microcontroller 8 to the NFC receiving coil via NFC near-field communication technology. The NFC receiving coil then transmits the potential difference signal to the data processing and display module 4. The data processing and display module 4 processes the potential difference signal received by the wireless signal receiving module 2 and converts it into corresponding thrombus characteristic information.

[0101] It is understandable that the aforementioned data processing and display module 4 can be a fixed terminal such as a computer with a display, or a mobile terminal such as a mobile phone and smart wearable device.

[0102] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0103] The above description is the preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principles described in this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for thrombosis monitoring and compensation, characterized in that, Includes the following steps: S1. By using the potential difference signal set between an inert electrode based on the biocompatible metal-liquid contact potential integrated on a vascular stent and multiple working electrodes, a mathematical model is established between the potential difference signal set and thrombus feature information; wherein, the thrombus feature information includes the degree of thrombus blockage and the location of thrombus blockage. S2. The potential difference signal set is compensated according to the viscosity and conductivity of the actual blood. The accurate potential difference signal set obtained after compensation is used to obtain accurate thrombus characteristic information based on a mathematical model.

2. The thrombosis monitoring and compensation method according to claim 1, characterized in that, Step S1 specifically includes: S11. A vascular stent, which integrates an inert electrode and multiple working electrodes through a biocompatible thin film, is implanted into a flexible tube that simulates a blood vessel; S12. Pump the reference blood into the tubing at a fixed pulse rate and a fixed stroke volume; S13. Simulate different degrees and locations of thrombus blockage in the tubing; S14. Obtain the potential difference signal set between the inert electrode and multiple working electrodes when simulating different degrees and locations of thrombus blockage in the tubing; S15. Establish a mathematical model of the potential difference signal set and thrombus characteristic information.

3. The thrombosis monitoring and compensation method according to claim 1, characterized in that, In step S2, the potential difference signal set is compensated according to the actual blood viscosity, specifically including the following steps: A1. Prepare simulated blood with different viscosities; A2. Obtain a set of potential difference signals in simulated blood of different viscosities; A3. Establish a model to simulate the relationship between viscosity and potential difference signals in blood; A4. Based on the viscosity data of actual blood and the relationship model between the viscosity and potential difference signal set in simulated blood, the potential difference signal set in actual blood is compensated.

4. The thrombosis monitoring and compensation method according to claim 3, characterized in that, Establishing a model to simulate the relationship between viscosity and potential difference signal set in blood specifically includes: performing curve fitting between the viscosity and the potential difference signal set to obtain a model to simulate the relationship between the viscosity and the potential difference signal set.

5. The thrombosis monitoring and compensation method according to claim 1, characterized in that, In step S2, compensating for the potential difference signal set based on the actual blood conductivity specifically includes the following steps: B1. Configure simulated blood with different electrical conductivities; B2. Obtain the set of potential difference signals in simulated blood with different electrical conductivities; B3. Establish a model to simulate the relationship between conductivity and potential difference signal sets in blood; B4. Based on the actual blood conductivity data and the model of the relationship between conductivity and potential difference signal set in simulated blood, the potential difference signal set in actual blood is compensated.

6. The thrombosis monitoring and compensation method according to claim 5, characterized in that, Establishing a model of the relationship between conductivity and potential difference signal set in simulated blood specifically includes: performing curve fitting between the conductivity and the potential difference signal set to obtain a model of the relationship between the conductivity and the potential difference signal set.

7. The thrombosis monitoring and compensation method according to claim 1, characterized in that, The working electrode is made of one of the following materials: tantalum, titanium, stainless steel, and nickel-titanium alloy; the inert electrode is made of one of the following materials: gold, silver, and platinum.

8. A thrombosis monitoring and compensation device, used in the thrombosis monitoring and compensation method according to any one of claims 1-7, characterized in that, The thrombosis monitoring and compensation device includes: Vascular stents; Inert electrodes and multiple working electrodes based on biocompatible metal-liquid contact potential are integrated onto a vascular stent via a biocompatible thin film. The signal acquisition module differentially amplifies the potential difference signal between the inert electrode and multiple working electrodes, and then acquires it through an analog-to-digital converter. The wireless transmission module uses NFC communication technology to wirelessly transmit the collected potential difference signal to an external device. The data processing and display module integrates a mathematical model and a compensation model between the potential difference signal set and thrombus characteristic information. It combines the potential difference signal set transmitted to external devices with the actual blood viscosity and conductivity to obtain accurate thrombus characteristic information and displays it. The power module wirelessly supplies power to the signal acquisition module and microcontroller through a wireless power transmission unit, a receiving coil, a bridge rectifier circuit, and a filter circuit.

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