CN114376546B

CN114376546B - System supporting double diagnosis modes

Info

Publication number: CN114376546B
Application number: CN202111599161.3A
Authority: CN
Inventors: 邵小虎; 林佳燕
Original assignee: Insight Lifetech Co Ltd
Current assignee: Insight Lifetech Co Ltd
Priority date: 2020-12-28
Filing date: 2021-12-24
Publication date: 2024-03-12
Anticipated expiration: 2041-12-24
Also published as: CN114376546A

Abstract

The present application relates to a system supporting dual diagnostic modes. The system comprises: the system comprises a first pressure sensor, a second pressure sensor and a host connected with the first pressure sensor and the second pressure sensor; a first pressure sensor collects a first pressure signal of the proximal end of the vascular stenosis; a second pressure sensor collects a second pressure signal of the distal end of the vascular stenosis; the host machine respectively converts the first pressure signal and the second pressure signal to obtain a first pressure Pa and a second pressure Pd, and determines a blood vessel hyperemia state according to the first pressure Pa and/or the second pressure Pd; calculating fractional flow reserve based on the first pressure Pa and the second pressure Pd in the hyperemic state if the vessel is in the hyperemic state; if the blood vessel is in the non-hyperemic state, calculating a non-hyperemic pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemic state. According to the scheme, manual diagnosis mode switching is not needed, operation time is saved, and manpower is reduced.

Description

System supporting double diagnosis modes

Technical Field

The present application relates to the field of medical technology, and in particular, to a system supporting dual diagnostic modes.

Background

Fractional flow reserve (Fractional Flow Reserve, FFR for short) refers to the ratio of the average pressure in the coronary artery at the far end of stenosis in the most hyperemic state of the myocardium to the average pressure in the proximal aorta of the coronary artery, and is the gold standard currently used clinically for diagnosing myocardial ischemia. During FFR measurements, it is necessary to inject a drug to bring the blood vessel to a maximum hyperemic state, but some patients are intolerant to drugs, resulting in limited FFR measurements. Based on this deficiency, a new index for measuring intravascular pressure without congestion, i.e., without congestion, has been proposed by related researchers (Non-Hyperemic Pressure Ratio, NHPR).

In clinical application, FFR index is used as a diagnosis basis in a hyperemia mode, NHPR index is used as a diagnosis basis in a non-hyperemia mode, however, the corresponding mode is required to be manually selected for operation, and the operation is labor-consuming and time-consuming.

Disclosure of Invention

In order to overcome the problems in the related art, the present application provides a system supporting dual diagnostic modes, which can be switched manually without manual work, thereby saving operation time and reducing manpower.

The present application provides a system supporting dual diagnostic modes, comprising: the system comprises a first pressure sensor, a second pressure sensor and a host, wherein the host is respectively connected with the first pressure sensor and the second pressure sensor; wherein:

the first pressure sensor is used for collecting a first pressure signal of the proximal end of the vascular stenosis and sending the first pressure signal to the host;

the second pressure sensor is used for collecting a second pressure signal of the distal end of the vascular stenosis and sending the second pressure signal to the host;

the host is used for converting the first pressure signal to obtain a first pressure Pa and converting the second pressure signal to obtain a second pressure Pd; determining a vascular congestion state based on the first pressure Pa and/or the second pressure Pd; calculating a first average pressure Pa 'at the proximal end of the vascular stenosis according to the first pressure Pa in the hyperemic state and a second average pressure Pd' at the distal end of the vascular stenosis according to the second pressure Pd in the hyperemic state if the vascular is in the hyperemic state, and calculating a fractional flow reserve according to the first average pressure Pa 'and the second average pressure Pd'; if the blood vessel is in the non-hyperemia state, calculating a non-hyperemia pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemia state.

Preferably, the host computer includes a lower computer and an upper computer, the lower computer is connected with the upper computer, wherein:

the lower computer is used for converting the first pressure signal to obtain a first pressure Pa, converting the second pressure signal to obtain a second pressure Pd, and sending the first pressure Pa and the second pressure Pd to the upper computer;

the upper computer is used for determining a blood vessel hyperemia state according to the first pressure Pa and/or the second pressure Pd; calculating a first average pressure Pa 'at the proximal end of the vascular stenosis according to the first pressure Pa in the hyperemic state and a second average pressure Pd' at the distal end of the vascular stenosis according to the second pressure Pd in the hyperemic state if the vascular is in the hyperemic state, and calculating a fractional flow reserve according to the first average pressure Pa 'and the second average pressure Pd'; if the blood vessel is in the non-hyperemia state, calculating a non-hyperemia pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemia state.

Preferably, the lower computer comprises an analog-to-digital conversion module, a pressure conversion module and a first communication module, wherein the pressure conversion module is respectively connected with the analog-to-digital conversion module and the first communication module; wherein:

The analog-to-digital conversion module is used for converting the first pressure signal and the second pressure signal from analog signals to digital electric signals;

the pressure conversion module is used for converting the digital electric signal obtained by the conversion of the analog-to-digital conversion module into a corresponding pressure value to obtain a first pressure Pa and a second pressure Pd;

the first communication module is used for sending the first pressure Pa and the second pressure Pd to the upper computer.

Preferably, the upper computer comprises a second communication module, a storage module and a processing module, wherein the second communication module is respectively connected with the first communication module and the storage module, and the storage module is connected with the processing module; wherein:

the second communication module is used for receiving the first pressure Pa and the second pressure Pd sent by the first communication module;

the storage module is used for storing the first pressure Pa and the second pressure Pd;

the processing module is used for determining the blood vessel hyperemia state according to the first pressure Pa and/or the second pressure Pd; calculating a first average pressure Pa 'at the proximal end of the vascular stenosis according to the first pressure Pa in the hyperemic state and a second average pressure Pd' at the distal end of the vascular stenosis according to the second pressure Pd in the hyperemic state if the vascular is in the hyperemic state, and calculating a fractional flow reserve according to the first average pressure Pa 'and the second average pressure Pd'; if the blood vessel is in the non-hyperemia state, calculating a non-hyperemia pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemia state.

Preferably, the upper computer further comprises a display module, and the display module is connected with the processing module; wherein:

the display module is used for displaying the fractional flow reserve when the blood vessel is in a hyperemic state; the decongested pressure ratio is displayed when the blood vessel is in a decongested state.

Preferably, the processing module is further configured to obtain a non-hyperemic pressure ratio before the hyperemic state when the fractional flow reserve is within a preset gray scale interval;

the display module is also configured to simultaneously display the fractional flow reserve and a ratio of non-hyperemic pressure prior to the hyperemic state.

Preferably, the display module is further connected to the storage module, and is further configured to display a waveform curve of the first pressure Pa and/or a waveform curve of the second pressure Pd.

Preferably, the processing module calculates a third average pressure of the proximal end of the vascular stenosis from the first pressure PaAnd calculating a fourth average pressure +.f at the distal end of the vascular stenosis from the second pressure Pd>And according to the fourth averagePressure->Is equal to the third average pressure +.>And (3) determining the blood vessel congestion state.

Preferably, the processing module takes the first pressure Pa and/or the second pressure Pd as input data, inputs a sample model for prediction, obtains a prediction result, and determines a blood vessel congestion state according to the prediction result; the sample model is trained by a deep learning algorithm by using multiple groups of historical pressure data in a non-hyperemic state and a hyperemic state.

The system for supporting the double diagnosis modes comprises a first pressure sensor and a second pressure sensor, wherein the first pressure signal at the proximal end of the vascular stenosis and the second pressure signal at the distal end of the vascular stenosis are respectively acquired by the first pressure sensor and the second pressure sensor and sent to a host; the host computer respectively carries out data processing on the first pressure signal and the second pressure signal to obtain a first pressure Pa and a second pressure Pd, and the blood vessel hyperemia state is identified by analyzing the fluctuation condition of the first pressure Pa and/or the fluctuation condition of the second pressure Pd; when the blood vessel is in a hyperemic state, calculating the ratio of a first average pressure Pa 'at the proximal end of the vascular stenosis to a second average pressure Pd' at the distal end of the vascular stenosis in the hyperemic state to obtain a fractional flow reserve FFR value; when the blood vessel is in the non-hyperemic state, a non-hyperemic pressure ratio NHPR value is calculated from the first pressure Pa and the second pressure Pd in the non-hyperemic state. Compared with the existing manual switching diagnosis mode, the blood vessel congestion state can be intelligently identified by analyzing the blood vessel pressure data, and the blood vessel congestion state is automatically switched to the corresponding mode according to the identification result to calculate the diagnosis parameters, so that manual operation is not needed, and when the blood vessel congestion state detection device is applied to clinic, the blood vessel congestion state detection device can be beneficial to saving operation time and reducing manpower.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The foregoing and other objects, features and advantages of the application will be apparent from the following more particular descriptions of exemplary embodiments of the application as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the application.

FIG. 1 is a flow chart of a diagnostic mode determination method based on blood vessel hyperemia status, as shown in an embodiment of the present application;

FIG. 2 is a waveform diagram of pressure data according to an embodiment of the present application;

FIG. 3 is a waveform diagram of pressure data in an decongested state and a decongested state, as shown in an embodiment of the present application;

FIG. 4 is a schematic diagram showing a structure of a diagnostic mode determining apparatus based on a blood vessel congestion state according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a system supporting dual diagnostic modes according to an embodiment of the present application;

FIG. 7 is a schematic diagram of another system supporting dual diagnostic modes according to an embodiment of the present application;

Fig. 8 is a schematic structural diagram of yet another system supporting dual diagnostic modes according to an embodiment of the present application.

Detailed Description

Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.

It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first message may also be referred to as a second message, and similarly, a second message may also be referred to as a first message, without departing from the scope of the present application. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

Unless specifically stated or limited otherwise, the terms "connected," "connected," and the like should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art as the case may be. The following describes the technical scheme of the embodiments of the present application in detail with reference to the accompanying drawings.

The embodiment of the application provides a diagnostic mode determining method based on blood vessel hyperemia. As shown in fig. 1, the method may include the steps of:

s110, acquiring a first pressure Pa at the proximal end of the vascular stenosis and a second pressure Pd at the distal end of the vascular stenosis.

In embodiments of the present application, pressure may be measured intravascularly using interventional catheter techniques to determine a condition of a patient's blood vessel, such as a stenotic lesion. In particular, pressure measuring devices such as MEMS (Micro-Electro-Mechanical System, micro-electromechanical system) pressure sensors, fiber optic pressure sensors, and the like may be integrated on the interventional catheter. The pressure measuring device may comprise a first pressure sensor and a second pressure sensor, wherein the first pressure sensor may be arranged outside the human body and may sense the blood pressure drawn in the guiding catheter by being connected to the guiding catheter (hollow) intervening in the human body. The head end of the guiding catheter is positioned at the proximal end of the vascular stenosis, and the tail end of the guiding catheter is arranged outside the body and connected with the first pressure sensor, so that the first pressure sensor can measure pressure data of the proximal end of the vascular stenosis. The second pressure sensor can be arranged in a human body and can be integrated at the head end of the pressure microcatheter, the pressure microcatheter passes through the guiding catheter and is deeply embedded into the distal end of the vascular stenosis, so that the second pressure sensor can measure the pressure data of the distal end of the vascular stenosis. It will be appreciated that the first pressure sensor and the second pressure sensor may be zeroed separately prior to the first pressure sensor and the second pressure sensor measuring the blood vessel pressure. And then, pressure equalization can be carried out on the two pressure sensors, specifically, when the second pressure sensor reaches the head end of the guide catheter, the second pressure sensor is regulated by taking the pressure of the first pressure sensor as a reference, so that the two pressure sensors keep a uniform pressure reference, thereby eliminating the measurement error between the two pressure sensors and further improving the accuracy of the measurement result.

In this embodiment, the blood vessel may be a coronary artery, the proximal end of the vascular stenosis may be a coronary artery, and the distal end of the vascular stenosis may be a location distal to and distal to the coronary artery. Of course, the possibility of application to other blood vessels, such as peripheral blood vessels, is not excluded.

In step S110, the pressure data of the proximal end of the vascular stenosis may be acquired in real time by using the first pressure sensor and the pressure data of the distal end of the vascular stenosis may be acquired in real time by using the second pressure sensor, and the pressure data may be respectively converted into the first pressure Pa and the second pressure Pd through analog-to-digital conversion (converting the analog signal acquired by the pressure sensor into a digital electrical signal) and pressure calculation (converting the digital electrical signal into a pressure value).

In step S110, the first pressure Pa and the second pressure Pd may also be directly obtained from a local storage device or a network side. Specifically, the first pressure Pa obtained by converting the pressure data collected by the first pressure sensor may be stored in a data link table, where the data link table uses time as an index and uses time and real-time pressure values as key value pairs. Similarly, the second pressure Pd obtained by converting the pressure data acquired by the second pressure sensor may be stored in the above-described manner. The data link list can be stored in a local storage device or a network side. And taking time as an index value, and acquiring corresponding pressure values from the data linked list to obtain a first pressure Pa and a second pressure Pd.

S120, determining the blood vessel hyperemia state according to the first pressure Pa and/or the second pressure Pd.

In this embodiment, as shown in fig. 2, the first pressure Pa at different moments may generate a pressure waveform curve, and the second pressure Pd at the same moment may also generate a pressure waveform curve. Wherein, FIG. 2 includes two sets of waveform diagrams, the upper set of waveform diagrams is a waveform curve of the first pressure Pa, a waveform curve of the second pressure Pd, and a third average pressure obtained by summing and averaging the first pressures Pa at different momentsAnd a fourth average pressure +.A summing and averaging of the second pressures Pd at different times>Wherein the abscissa represents time in seconds; the ordinate indicates the pressure value in mmhg. The upper waveform of the next set of waveforms represents the real-time pressure difference between the first pressure Pa and the second pressure Pd, and the lower waveform represents the fourth average pressure +.>And third average pressure->Is a ratio of (2). Assume that FIG. 2 is at its maximumWaveform diagram corresponding to congestion state, fourth average pressure +.>And third average pressure->The ratio of (2) is FFR value.

As can be seen from fig. 2, the waveform profile changes of the first pressure Pa and the second pressure Pd are substantially identical, so that it is possible to determine whether the blood vessel is in the maximum congestion state according to the waveform profile change of the first pressure Pa and/or the waveform profile change of the second pressure Pd.

In an alternative embodiment, the step S120 of determining the blood vessel congestion status according to the first pressure Pa and/or the second pressure Pd may include the steps of:

calculating a third average pressure of the proximal end of the stenosis of the vessel based on the first pressure Pa

Calculating a fourth average pressure at the distal end of the stenosis of the vessel based on the second pressure Pd

According to the fourth average pressureAnd third average pressure->And (3) determining the blood vessel congestion state.

Specifically, the first pressure Pa obtained by real-time measurement of the first pressure sensor can be used for summing and averaging to obtain a third average pressureA second measured in real time by a second pressure sensorSumming the pressures Pd and taking the average value to obtain fourth average pressure +.>And according to fourth average pressure ∈ ->And third average pressure->To identify whether the blood vessel is congested. For example, as shown in FIG. 3, the fourth average pressure +.>And third average pressure->If the overall decrease occurs after a plateau (stage (1): steady state without congestion), the ratio begins to decrease (stage (2): fluctuation in congestion) and it is considered that the start of the injection of the drug (e.g., adenosine) brings the vessel to the maximum congestion state. After a period of time, the hyperemic state enters the stationary phase (3): stationary phase in hyperemic state), and when the injection of medication is stopped, the average pressure ratio begins to rise again (phase (4): transition from hyperemic to non-hyperemic state). When the average pressure ratio value is kept unchanged all the time, the blood vessel can be considered to be in an uncongested state; when the average pressure ratio exhibits the above-described variation pattern, it can be considered that the blood vessel is in a congestion state after the average pressure ratio is lowered and stabilized.

taking the first pressure Pa and/or the second pressure Pd as input data, and inputting a sample model for prediction to obtain a prediction result, wherein the sample model can be obtained by training a plurality of groups of historical pressure data in a non-hyperemic state and a hyperemic state through a deep learning algorithm;

and determining the blood vessel congestion state according to the prediction result.

Specifically, the method can be based on a machine learning mode, comprises the steps of manually calibrating multiple groups of historical pressure data, dividing the historical pressure data into two states of congestion and non-congestion, and then performing training fitting of a multi-layer neural network, so that characteristic differences of congestion and non-congestion waveforms are learned, and a sample model is obtained. The waveforms of the first pressure Pa and/or the second pressure Pd are used as input data, and are input into a sample model obtained through training for prediction comparison, so that judgment of congestion and non-congestion states is completed, and further recognition of blood vessel congestion states is achieved.

It will be appreciated that one of the two methods described above may be used to intelligently identify the blood vessel hyperemia state, or the two methods may be used together to intelligently identify, without limitation.

S130, if the blood vessel is in a hyperemic state, calculating a first average pressure Pa 'at the proximal end of the blood vessel stenosis according to the first pressure Pa in the hyperemic state, calculating a second average pressure Pd' at the distal end of the blood vessel stenosis according to the second pressure Pd in the hyperemic state, and calculating the fractional flow reserve according to the first average pressure Pa 'and the second average pressure Pd'.

As shown in fig. 3, since the first pressure Pa and the second pressure Pd in the congestion state are changed with respect to the pressure before congestion, the tendency of the pressure value after congestion is decreased compared with the pressure value before congestion. The first pressure Pa may be averaged over a period of time after the congestion state has stabilized (e.g., stage (3)) to obtain a first average pressure Pa 'at the proximal end of the stenosis, and the second pressure Pd may be averaged over the same period of time to obtain a second average pressure Pd' at the distal end of the stenosis. The fractional flow reserve FFR value is obtained by calculating the ratio of the second average pressure Pd 'to the first average pressure Pa'.

In an alternative embodiment, the step S130 of calculating the first average pressure Pa 'at the proximal end of the vascular stenosis according to the first pressure Pa in the hyperemic state and calculating the second average pressure Pd' at the distal end of the vascular stenosis according to the second pressure Pd in the hyperemic state may include:

Determining a cardiac cycle in a hyperemic state according to the fluctuation law of the first pressure Pa and/or the fluctuation law of the second pressure Pd in the hyperemic state;

calculating a first average pressure Pa' at the proximal end of the vascular stenosis from the first pressure Pa of at least one cardiac cycle in the hyperemic state;

a second average pressure Pd' at the distal end of the vascular stenosis is calculated from the second pressure Pd of the at least one cardiac cycle in the hyperemic state.

In particular, in order to make the value of the average pressure more accurate, the average pressure can be calculated using the pressure value of at least one cardiac cycle. Since not only does the blood vessel change in pressure values before and after congestion, the cardiac cycle may also change, e.g., the post-congestion cardiac cycle is smaller than the pre-congestion cardiac cycle. In order to make the calculated FFR value more accurate, the cardiac cycle in the congestion state can be determined according to the fluctuation rule of the first pressure Pa and/or the fluctuation rule of the second pressure Pd in a period of time after the congestion state is stable, then the first pressure Pa in at least one cardiac cycle is summed and averaged to obtain a first average pressure Pa ', and the second pressure Pd in the same cardiac cycle is summed and averaged to obtain a second average pressure Pd', and the ratio of the second average pressure Pd 'to the first average pressure Pa' is used as the FFR value, i.e. ffr=pd '/Pa'.

And S140, if the blood vessel is in the non-hyperemia state, calculating a non-hyperemia pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemia state.

In an alternative embodiment, if the blood vessel is in the non-hyperemic state in step S140, the calculating the non-hyperemic pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemic state may include the following steps:

determining a cardiac cycle in a non-hyperemia state according to the fluctuation rule of the first pressure Pa and/or the fluctuation rule of the second pressure Pd in the non-hyperemia state;

the ratio of the second pressure Pd in diastole to the first pressure Pa in at least one cardiac cycle in the non-hyperemic state is calculated to obtain a non-hyperemic pressure ratio.

As shown in fig. 2, since the law of fluctuation of the first pressure Pa and the law of fluctuation of the second pressure Pd are very similar, one of the pressure waveforms may be selected to determine the cardiac cycle, or both waveforms may be selected together to determine the cardiac cycle. The cardiac cycle includes a systolic phase, in which the pressure increases, and a diastolic phase, in which the pressure decreases. The non-hyperemic pressure ratio NHPR can be obtained by taking the first pressure Pa and the second pressure Pd at a time period in the diastole of at least one cardiac cycle in the non-hyperemic state, preferably, the first pressure Pa and the second pressure Pd at a time period (non-wave period) from 25% at the beginning of the diastole to 5ms before the end of the diastole, calculating the ratio of the second pressure Pd to the first pressure Pa at the non-wave period, and averaging.

In addition, a plateau for each cardiac cycle may also be calculated, wherein the plateau may be the period of time during which the ratio of the second pressure Pd to the first pressure Pa is derived over time, the derivative is stable and tends to 0. Typically the plateau is also in diastole of the cardiac cycle. The ratio of the second pressure Pd to the first pressure Pa in at least one cardiac cycle in the stationary phase can be taken, and the average value is taken to obtain the NHPR value.

In an alternative embodiment, the method shown in fig. 1 may further comprise the steps of:

displaying fractional flow reserve while the blood vessel is in a hyperemic state;

the decongested pressure ratio is displayed when the vessel is in a decongested state.

Specifically, when the blood vessel is in a hyperemic state, the FFR diagnostic mode may be entered, and after calculating the FFR value, the FFR value may be output and displayed, so that related personnel (such as a researcher, doctor, etc.) may determine the myocardial ischemia condition of the patient based on the FFR value as a diagnostic basis, and further determine the treatment scheme. For example, if the FFR value is less than 0.75, manual intervention may be performed for revascularization, such as stent placement; if the FFR value is greater than 0.8, a drug-conservative treatment can be performed.

When the blood vessel is in a non-hyperemic state, the NHPR diagnosis mode can be entered, and after the NHPR value is calculated, the NHPR value can be output and displayed, so that related personnel can determine the myocardial ischemia condition of the patient by taking the NHPR value as a diagnosis basis, and further determine the treatment scheme. For example, if the NHPR value is less than 0.9, a manual intervention therapy may be performed; if the NHPR value is greater than 0.9, drug-conservative treatment can be performed.

In an alternative embodiment, the embodiment of displaying fractional flow reserve while the blood vessel is in a hyperemic state may further comprise the steps of:

when the fractional flow reserve is within a preset gray scale interval, acquiring a congestion-free pressure ratio before a congestion state;

the fractional flow reserve and the ratio of decongested pressure before decongested state are displayed simultaneously.

The gradation range of the FFR value is generally set to 0.75 to 0.8. When the FFR value is within the preset gray scale interval, a diagnostic regimen may be determined in conjunction with the NHPR value. The NHPR value before congestion can be obtained and is displayed in a dual mode, namely the FFR value and the NHPR value are displayed simultaneously, so that the NHPR value is used as auxiliary diagnostic information, and related personnel can obtain a treatment scheme better. For example, if the FFR value is between 0.75 and 0.8 and the NHPR value is less than 0.9, then a manual intervention treatment may be performed; if the FFR value is between 0.75 and 0.8 and the NHPR value is more than 0.9, the drug conservation treatment can be performed. It is understood that NHPR values calculated over a period of time after the end of congestion (e.g., after the end of adenosine injection) may be obtained as auxiliary diagnostic information, which is not limited herein.

In an alternative embodiment, the embodiment that displays a non-hyperemic pressure ratio when the vessel is in a non-hyperemic state may further include the steps of:

When the congestion-free pressure ratio is within a preset critical interval, obtaining the fractional flow reserve under the congestion state;

the ratio of the non-hyperemic pressure and fractional flow reserve in the hyperemic state are shown.

Specifically, when the NHPR value calculated in the congestion-free mode is in the critical region, the diagnostic information may be comprehensively output in combination with the FFR value in the congestion state. For example, assuming a critical interval of NHPR value of 0.86-0.93, when the NHPR value is between 0.86-0.93 and FFR value is less than 0.75, then a manual intervention treatment may be performed; when the NHPR value is between 0.86 and 0.93 and the FFR value is more than 0.8, the drug conservation treatment can be performed.

In summary, embodiments of the present application identify a vascular congestion state by analyzing a fluctuation of a first pressure Pa proximal to a vascular stenosis and/or a fluctuation of a second pressure Pd distal to the vascular stenosis; when the blood vessel is in a hyperemic state, calculating the ratio of a first average pressure Pa 'at the proximal end of the vascular stenosis to a second average pressure Pd' at the distal end of the vascular stenosis in the hyperemic state to obtain a fractional flow reserve FFR value; when the blood vessel is in the non-hyperemic state, a non-hyperemic pressure ratio NHPR value is calculated from the first pressure Pa and the second pressure Pd in the non-hyperemic state. Compared with the existing manual switching diagnosis mode, the blood vessel congestion state can be intelligently identified by analyzing the blood vessel pressure data, and the blood vessel congestion state is automatically switched to the corresponding mode according to the identification result to calculate the diagnosis parameters, so that manual operation is not needed, and when the blood vessel congestion state detection device is applied to clinic, the blood vessel congestion state detection device can be beneficial to saving operation time and reducing manpower. In addition, the method and the device also support dual-mode display, and can comprehensively output auxiliary diagnosis information aiming at the FFR diagnosis critical area and the NHPR diagnosis critical area, so that doctors can be better guided to determine a treatment scheme.

The embodiment of the application also provides a diagnostic mode determining device based on the blood vessel congestion state, which can be used for executing the diagnostic mode determining method based on the blood vessel congestion state provided by the embodiment. As shown in fig. 4, the apparatus may include:

a pressure acquisition module 41 for acquiring a first pressure Pa at the proximal end of the vascular stenosis and a second pressure Pd at the distal end of the vascular stenosis;

a state determination module 42 for determining a blood vessel hyperemia state based on the first pressure Pa and/or the second pressure Pd;

a first calculation module 43 for calculating a first average pressure Pa 'at the proximal end of the stenosis of the blood vessel based on a first pressure Pa in the hyperemic state and a second average pressure Pd' at the distal end of the stenosis of the blood vessel based on a second pressure Pd in the hyperemic state, and calculating a fractional flow reserve based on the first average pressure Pa 'and the second average pressure Pd', when the state determination module 42 determines that the blood vessel is in the hyperemic state;

the second calculating unit 44 is configured to calculate, when the state determining module 42 determines that the blood vessel is in the non-hyperemic state, a non-hyperemic pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemic state.

Alternatively, the first calculating module 43 calculates a first average pressure Pa 'at the proximal end of the vascular stenosis from the first pressure Pa in the hyperemic state and calculates a second average pressure Pd' at the distal end of the vascular stenosis from the second pressure Pd in the hyperemic state may include:

The first calculation module 43 determines a cardiac cycle in the hyperemic state based on the law of fluctuation of the first pressure Pa and/or the law of fluctuation of the second pressure Pd in the hyperemic state, and calculates a first average pressure Pa 'at the proximal end of the stenosis from the first pressure Pa of at least one cardiac cycle in the hyperemic state, and calculates a second average pressure Pd' at the distal end of the stenosis from the second pressure Pd of the at least one cardiac cycle in the hyperemic state.

Optionally, the second calculating unit 44 may be specifically configured to determine a cardiac cycle in the non-hyperemic state according to a fluctuation rule of the first pressure Pa and/or a fluctuation rule of the second pressure Pd in the non-hyperemic state, and calculate a ratio of the second pressure Pd in diastole to the first pressure Pa in at least one cardiac cycle in the non-hyperemic state to obtain a non-hyperemic pressure ratio.

Optionally, the apparatus shown in fig. 4 may further include a first display module and a second display module (not shown in the figure), specifically:

a first display module for displaying fractional flow reserve when the blood vessel is in a hyperemic state;

and the second display module is used for displaying the non-hyperemia pressure ratio when the blood vessel is in the non-hyperemia state.

Optionally, the way in which the first display module displays the fractional flow reserve when the blood vessel is in the hyperemic state may include:

the first display module acquires a congestion-free pressure ratio before a congestion state when the fractional flow reserve is within a preset gray scale interval; the fractional flow reserve and the ratio of decongested pressure before decongested state are displayed simultaneously.

Optionally, the second display module may display the non-hyperemic pressure ratio when the blood vessel is in the non-hyperemic state, including:

the second display module obtains the fractional flow reserve under the hyperemia state when the hyperemia-free pressure ratio is within a preset critical interval; the ratio of the non-hyperemic pressure and fractional flow reserve in the hyperemic state are shown.

Alternatively, the state determination module 42 may be specifically configured to calculate a third average pressure of the proximal end of the stenosis from the first pressure PaCalculating a fourth average pressure value for the distal end of the vascular stenosis from the second pressure Pd>According to fourth average pressure->And third average pressure->And (3) determining the blood vessel congestion state.

Optionally, the state determining module 42 may specifically be configured to take the first pressure Pa and/or the second pressure Pd as input data, input a sample model for prediction, obtain a prediction result, and determine a blood vessel congestion state according to the prediction result; wherein the sample model is trained by a deep learning algorithm using the non-hyperemic state and the plurality of sets of historical pressure data in the hyperemic state.

The specific manner in which the respective modules perform the operations in the apparatus of the above embodiments has been described in detail in the embodiments related to the method, and will not be described in detail herein.

The device shown in fig. 4 is implemented, the blood vessel congestion state can be intelligently identified by analyzing the blood vessel pressure data, and the diagnosis parameters are automatically calculated by switching to the corresponding mode according to the identification result, so that manual operation is not needed, and the device is beneficial to saving operation time and reducing manpower when being applied to clinic. In addition, the device also supports dual-mode display, and can comprehensively output auxiliary diagnosis information aiming at the FFR diagnosis critical area and the NHPR diagnosis critical area, so that doctors can be better guided to determine a treatment scheme.

The embodiment of the application also provides an electronic device which can be used for executing the diagnostic mode determining method based on the blood vessel congestion state. Specifically, as shown in fig. 5, the electronic device 500 may include: at least one processor 501, memory 502, at least one communication interface 503, and the like. Wherein the components may be communicatively coupled via one or more communication buses 504. It will be appreciated by those skilled in the art that the configuration of the electronic device 500 shown in fig. 5 is not limiting to the embodiments of the present application, and it may be a bus-like configuration, a star-like configuration, or may include more or fewer components than shown, or may be a combination of certain components, or a different arrangement of components.

Wherein:

the processor 501 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

Memory 502 may include various types of storage units, such as system memory, read Only Memory (ROM), and persistent storage. Where the ROM may store static data or instructions that are required by the processor 501 or other modules of the computer. The persistent storage may be a readable and writable storage. The persistent storage may be a non-volatile memory device that does not lose stored instructions and data even after the computer is powered down. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the persistent storage may be a removable storage device (e.g., diskette, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as dynamic random access memory. The system memory may store instructions and data that are required by some or all of the processors at runtime. Furthermore, memory 502 may include any combination of computer readable storage media including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read only memory), magnetic and/or optical disks may also be employed. In some implementations, memory 502 may include readable and/or writable removable storage devices such as Compact Discs (CDs), digital versatile discs (e.g., DVD-ROMs, dual layer DVD-ROMs), blu-ray discs read only, super-density discs, flash memory cards (e.g., SD cards, min SD cards, micro-SD cards, etc.), magnetic floppy disks, and the like. The computer readable storage medium does not contain a carrier wave or an instantaneous electronic signal transmitted by wireless or wired transmission.

The communication interface 503 may include a wired communication interface, a wireless communication interface, etc., that may be used to communicatively interact with the pressure sensor or other device.

The memory 502 has stored thereon executable code that, when processed by the processor 501, causes the processor 501 to perform some or all of the steps of the diagnostic mode determination method based on vascular congestion status described above.

The embodiment of the application also provides a system for supporting double diagnosis modes, which can be used for executing the diagnosis mode determining method based on the blood vessel congestion state. As shown in fig. 6, the system may include at least: the system comprises a first pressure sensor 10, a second pressure sensor 20 and a host 30, wherein the host 30 is respectively connected with the first pressure sensor 10 and the second pressure sensor 20; wherein:

the first pressure sensor 10 is used for collecting a first pressure signal of the proximal end of the vascular stenosis and sending the first pressure signal to the host computer 30;

the second pressure sensor 20 is used for collecting a second pressure signal of the distal end of the vascular stenosis and sending the second pressure signal to the host computer 30;

the host 30 is configured to perform a conversion process on the first pressure signal to obtain a first pressure Pa, and perform a conversion process on the second pressure signal to obtain a second pressure Pd; determining a vascular congestion state according to the first pressure Pa and/or the second pressure Pd; if the blood vessel is in a hyperemic state, calculating a first average pressure Pa 'at the proximal end of the blood vessel stenosis according to the first pressure Pa in the hyperemic state, calculating a second average pressure Pd' at the distal end of the blood vessel stenosis according to the second pressure Pd in the hyperemic state, and calculating a fractional flow reserve according to the first average pressure Pa 'and the second average pressure Pd'; if the blood vessel is in the non-hyperemic state, calculating a non-hyperemic pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemic state.

In this embodiment of the present application, the first pressure sensor may be disposed outside the human body, and may sense the blood pressure led out from the guiding catheter by being connected to the guiding catheter inserted into the human body. The head end of the guiding catheter is positioned at the proximal end of the vascular stenosis, and the tail end of the guiding catheter is arranged outside the body and connected with the first pressure sensor, so that the first pressure sensor can measure pressure data of the proximal end of the vascular stenosis. The second pressure sensor can be arranged in a human body and can be integrated at the head end of the pressure microcatheter, the pressure microcatheter passes through the guiding catheter and is deeply embedded into the distal end of the vascular stenosis, so that the second pressure sensor can measure the pressure data of the distal end of the vascular stenosis. It will be appreciated that the zeroing and pressure equalization processes may be performed on the first and second pressure sensors prior to measuring the vessel pressure.

Alternatively, as shown in fig. 7, the host 30 may include a lower computer 31 and an upper computer 32, where the lower computer 31 is connected to the upper computer 32, and the following steps are as follows:

the lower computer 31 is configured to perform a conversion process on the first pressure signal to obtain a first pressure Pa, and perform a conversion process on the second pressure signal to obtain a second pressure Pd, and send the first pressure Pa and the second pressure Pd to the upper computer 32;

The upper computer 32 is used for determining the blood vessel congestion state according to the first pressure Pa and/or the second pressure Pd; if the blood vessel is in a hyperemic state, calculating a first average pressure Pa 'at the proximal end of the blood vessel stenosis according to the first pressure Pa in the hyperemic state, calculating a second average pressure Pd' at the distal end of the blood vessel stenosis according to the second pressure Pd in the hyperemic state, and calculating a fractional flow reserve according to the first average pressure Pa 'and the second average pressure Pd'; if the blood vessel is in the non-hyperemic state, calculating a non-hyperemic pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemic state.

Alternatively, as shown in fig. 8, the lower computer 31 may include an analog-to-digital conversion module 31a, a pressure conversion module 31b, and a first communication module 31c, where the pressure conversion module 31b is connected to the analog-to-digital conversion module 31a and the first communication module 31c, respectively; wherein:

the analog-to-digital conversion module 31a is configured to convert the first pressure signal and the second pressure signal from analog signals to digital electrical signals;

the pressure conversion module 31b is configured to convert the digital electrical signal obtained by the conversion of the analog-to-digital conversion module 31a into a corresponding pressure value, so as to obtain a first pressure Pa and a second pressure Pd;

the first communication module 31c is configured to send the first pressure Pa and the second pressure Pd to the host computer 32.

Alternatively, as shown in fig. 8, the upper computer 32 may include a second communication module 32a, a storage module 32b, and a processing module 32c, where the second communication module 32a is connected to the first communication module 31c and the storage module 32b, and the storage module 32b is connected to the processing module 32 c; wherein:

the second communication module 32a is configured to receive the first pressure Pa and the second pressure Pd sent by the first communication module 31 c;

the storage module 32b is used for storing the first pressure Pa, the second pressure Pd, other data and the like;

the processing module 32c is configured to determine a blood vessel hyperemia state according to the first pressure Pa and/or the second pressure Pd; if the blood vessel is in a hyperemic state, calculating a first average pressure Pa 'at the proximal end of the blood vessel stenosis according to the first pressure Pa in the hyperemic state, calculating a second average pressure Pd' at the distal end of the blood vessel stenosis according to the second pressure Pd in the hyperemic state, and calculating a fractional flow reserve according to the first average pressure Pa 'and the second average pressure Pd'; if the blood vessel is in the non-hyperemic state, calculating a non-hyperemic pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemic state.

Optionally, as shown in fig. 8, the upper computer 32 may further include a display module 32d, where the display module 32d is connected to the processing module 32 c; wherein:

The display module 32d is configured to display the fractional flow reserve when the blood vessel is in a hyperemic state; the decongested pressure ratio is displayed when the vessel is in a decongested state.

Optionally, the processing module 32c may be further configured to obtain a non-hyperemic pressure ratio before the hyperemic state when the fractional flow reserve is within the preset gray scale interval;

display module 32d is also configured to display the fractional flow reserve and the ratio of the non-hyperemic pressure prior to the hyperemic state simultaneously.

Optionally, the processing module 32c may be further configured to obtain the fractional flow reserve in the hyperemic state when the non-hyperemic pressure ratio is within a preset threshold;

the display module 32d is also configured to display the non-hyperemic pressure ratio and the fractional flow reserve in the hyperemic state simultaneously.

Optionally, the display module 32d may be further connected to the storage module 32b, where the display module 32d may be further configured to display a waveform profile of the first pressure Pa and/or a waveform profile of the second pressure Pd.

Optionally, the processing module 32c may determine the blood vessel hyperemia state according to the first pressure Pa and/or the second pressure Pd by:

the processing module 32c calculates a third average pressure of the proximal end of the stenosis from the first pressure PaAnd calculating a fourth average pressure +.f at the distal end of the vascular stenosis from the second pressure Pd >And according to fourth average pressure +.>And third average pressure->And (3) determining the blood vessel congestion state.

the processing module 32c takes the first pressure Pa and/or the second pressure Pd as input data, inputs a sample model for prediction, obtains a prediction result, and determines a blood vessel hyperemia state according to the prediction result; wherein the sample model is trained by a deep learning algorithm using the non-hyperemic state and the plurality of sets of historical pressure data in the hyperemic state.

Alternatively, the manner in which the processing module 32c calculates the first average pressure Pa 'at the proximal end of the vascular stenosis from the first pressure Pa in the hyperemic state and calculates the second average pressure Pd' at the distal end of the vascular stenosis from the second pressure Pd in the hyperemic state may include:

the processing module 32c determines a cardiac cycle in the hyperemic state according to the law of fluctuation of the first pressure Pa and/or the law of fluctuation of the second pressure Pd in the hyperemic state; calculating a first average pressure Pa' at the proximal end of the vascular stenosis from the first pressure Pa of at least one cardiac cycle in the hyperemic state; a second average pressure Pd' at the distal end of the vascular stenosis is calculated from the second pressure Pd of the at least one cardiac cycle in the hyperemic state.

Optionally, the method for calculating the congestion-free pressure ratio by the processing module 32c according to the first pressure Pa and the second pressure Pd in the congestion-free state may include:

the processing module 32c determines a cardiac cycle in the non-hyperemic state based on a law of fluctuation of the first pressure Pa and/or a law of fluctuation of the second pressure Pd in the non-hyperemic state; the ratio of the second pressure Pd in diastole to the first pressure Pa in at least one cardiac cycle in the non-hyperemic state is calculated to obtain a non-hyperemic pressure ratio.

The system shown in fig. 6-8 can intelligently identify the blood vessel congestion state, display different diagnosis parameters in different states, and avoid manual operation, so that the system is beneficial to saving operation time and reducing manpower when being applied to clinic. In addition, the system can also support FFR and NHPR dual-mode operation, FFR and NHPR can be used as diagnosis results which complement each other, when FFR is in a critical interval, NHPR values can be referred, and intraoperative operation can be guided more accurately.

The aspects of the present application have been described in detail hereinabove with reference to the accompanying drawings. In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments. Those skilled in the art will also appreciate that the acts and modules referred to in the specification are not necessarily required in the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application may be sequentially adjusted, combined and pruned according to actual needs, and the modules in the apparatus of the embodiment of the present application may be combined, divided and pruned according to actual needs.

Furthermore, the method according to the present application may also be implemented as a computer program or computer program product comprising computer program code instructions for performing part or all of the steps of the above-described method of the present application.

Alternatively, the present application may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) that, when executed by a processor of an electronic device (or electronic device, server, etc.), causes the processor to perform some or all of the steps of the above-described methods according to the present application.

Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the application herein may be implemented as electronic hardware, computer software, or combinations of both.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The embodiments of the present application have been described above, the foregoing description is exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A system for supporting dual diagnostic modes, comprising: the system comprises a first pressure sensor, a second pressure sensor and a host, wherein the host is respectively connected with the first pressure sensor and the second pressure sensor; wherein:

the first pressure sensor is used for collecting a first pressure signal of the proximal end of the vascular stenosis and sending the first pressure signal to the host; the second pressure sensor is used for collecting a second pressure signal of the distal end of the vascular stenosis and sending the second pressure signal to the host;

the host computer includes lower computer and host computer, the lower computer with the host computer is connected, wherein:

The lower computer comprises an analog-to-digital conversion module, a pressure conversion module and a first communication module, wherein the pressure conversion module is respectively connected with the analog-to-digital conversion module and the first communication module; wherein: the analog-to-digital conversion module is used for converting the first pressure signal and the second pressure signal from analog signals to digital electric signals; the pressure conversion module is used for converting the digital electric signal obtained by the conversion of the analog-to-digital conversion module into a corresponding pressure value to obtain a first pressure Pa and a second pressure Pd; the first communication module is used for sending the first pressure Pa and the second pressure Pd to the upper computer;

the upper computer comprises a second communication module and a processing module, and the second communication module is connected with the first communication module; wherein: the second communication module is used for receiving the first pressure Pa and the second pressure Pd sent by the first communication module; the processing module is used for calculating a third average pressure of the proximal end of the vascular stenosis according to the first pressure PaAnd calculating a fourth average pressure +.f at the distal end of the vascular stenosis from the second pressure Pd>And according to said fourth average pressure +. >Is equal to the third average pressure +.>Determining a vascular congestion state based on the change in the ratio of (a) to (b); if the blood vessel is in a hyperemic state, calculating a first average pressure Pa 'at the proximal end of the stenosis of the blood vessel based on the first pressure Pa in the hyperemic state, and calculating a second average pressure Pd' at the distal end of the stenosis of the blood vessel based on the second pressure Pd in the hyperemic state, and based on the first average pressure Pa 'calculates fractional flow reserve with the second mean pressure Pd'; if the blood vessel is in the non-hyperemia state, calculating a non-hyperemia pressure ratio according to the first pressure Pa and the second pressure Pd in the non-hyperemia state.

2. The system of claim 1, wherein the host computer further comprises a display module, the display module being coupled to the processing module; wherein:

3. The system of claim 1, wherein the system further comprises a controller configured to control the controller,

the processing module is further configured to obtain a congestion-free pressure ratio before the congestion state when the fractional flow reserve is within a preset gray scale interval;

The display module is also configured to simultaneously display the fractional flow reserve and the ratio of non-hyperemic pressure prior to the hyperemic state.

4. The system according to claim 1, wherein a display module is further connected to the memory module, said display module being further adapted to display a waveform profile of said first pressure Pa and/or a waveform profile of said second pressure Pd.

5. The system of claim 4, wherein the calculating the decongested pressure ratio from the first pressure Pa and the second pressure Pd in the decongested state if the vessel is in the decongested state comprises:

and acquiring a first pressure Pa and a second pressure Pd in a time period from 25% of the beginning of the diastole to 5ms before the end of the diastole in the waveform curve, calculating the average value of the ratio of the second pressure Pd to the first pressure Pa in the time period, and calculating to obtain the non-hyperemic pressure ratio.

6. The system of claim 1, wherein said calculating a second average pressure Pd ' at the distal end of the vascular stenosis from the second pressure Pd in the hyperemic state and calculating a fractional flow reserve from the first average pressure Pa ' and the second average pressure Pd ' comprises:

Determining a cardiac cycle in a hyperemia state according to the fluctuation rule of the first pressure Pa and/or the fluctuation rule of the second pressure Pd in a period of time after the hyperemia state is stable, taking the sum and the average value of the first pressure Pa in at least one cardiac cycle to obtain a first average pressure Pa ', taking the sum and the average value of the second pressure Pd in the same cardiac cycle to obtain a second average pressure Pd', and taking the ratio of the second average pressure Pd 'to the first average pressure Pa' as a blood flow reserve fraction.

7. The system of claim 1, wherein the system further comprises a controller configured to control the controller,

when the fourth average voltage is equal toIs equal to the third average pressure +.>The blood vessel is in an uncongested state while the ratio of (2) remains constant; when the ratio decreases and stabilizes, the blood vessel is in a hyperemic state.

8. The system according to claim 1, wherein:

the third average pressureSumming and averaging according to the first pressure Pa obtained by the real-time measurement of the first pressure sensor;

the fourth average voltageAnd summing and averaging according to the second pressure Pd measured by the second pressure sensor in real time.

9. The system according to claim 1, wherein: the upper computer further comprises a storage module which is respectively connected with the second communication module and the processing module; the storage module is used for storing the first pressure Pa and the second pressure Pd.

10. The system according to any one of claims 1-9, wherein the processing module takes the first pressure Pa and/or the second pressure Pd as input data, inputs a sample model for prediction, obtains a prediction result, and determines a blood vessel hyperemia state according to the prediction result; the sample model is trained by a deep learning algorithm by using multiple groups of historical pressure data in a non-hyperemic state and a hyperemic state.