Peripheral vessel function index acquisition device and computer readable storage medium

Abstract

The embodiment of the invention provides a peripheral blood vessel function index obtaining device. The peripheral blood vessel function index obtaining device is used for executing the following method: receiving blood pressure parameters of a resting state and a congestive state of a target peripheral artery blood vessel; receiving blood flow parameters of a resting state and a congestive state of the target peripheral artery blood vessel, wherein the blood flow parameters comprise blood flow or blood flow velocity; according to the blood pressure parameter of the resting state and the blood flow parameter of the resting state, a blood flow resistance reference value of the resting state is obtained; acquiring a blood flow resistance reference value of the congestive state according to the blood pressure parameter of the congestive state and the blood flow parameter of the congestive state; and obtaining the ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the congestive state. By acquiring the ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the congestive state, the blood supply reserve released by the blood supply network when the organ corresponding to the target peripheral artery blood vessel is converted from the resting state to the congestive state can be reflected, so that the retained blood vessel dilatation and the overall blood supply condition of the organ are evaluated.

Description

Technical Field

[0001] The present application relates to the field of medical device technology, and in particular to a peripheral vascular function index acquisition device and a computer-readable storage medium. Background Art

[0002] At present, the hemodynamic assessment technology of peripheral arterial disease mainly observes the blood flow velocity, blood pressure, and lesion stenosis morphology in the main peripheral arteries at rest, or observes the oxygen partial pressure or microcirculation in the skin tissue. In addition, the existing technology for measuring vascular flow velocity or segmental pressure is used to evaluate the lesions of the branch blood vessels, rather than the function of the blood supply network; if only the blood pressure of the peripheral artery is observed, the actual blood flow and the degree of ischemia cannot be known; if only the blood flow or blood flow velocity is observed, the impact of the patient's aortic pressure or upstream lesions on the blood flow value is ignored.

[0003] Therefore, the above indicators cannot evaluate the overall blood supply of peripheral blood vessels to local organs, such as the blood supply to the lower limbs. Summary of the invention

[0004] The embodiments of the present application provide a peripheral vascular function index acquisition device and a computer-readable storage medium, which can evaluate the overall blood supply status of local organs.

[0005] In a first aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to execute the following method:

[0006] Receiving blood pressure parameters of the target peripheral arterial blood vessel in a resting state and a hyperemic state;

[0007] Receiving blood flow parameters of a target peripheral arterial blood vessel in a resting state and a hyperemic state, wherein the blood flow parameters include a blood flow rate or a blood flow velocity;

[0008] Acquire a resting blood flow resistance reference value according to the resting blood pressure parameter and the resting blood flow parameter;

[0009] Acquiring a blood flow resistance reference value in a congestive state according to the blood pressure parameter in a congestive state and the blood flow parameter in a congestive state;

[0010] The ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the hyperemic state is obtained.

[0011] A second aspect of the present application provides a peripheral vascular function index acquisition device, comprising the above-mentioned computer-readable storage medium;

[0012] The device further includes a processor; the processor is configured to execute the computer program stored in the computer-readable storage medium.

[0013] According to a third aspect of the present application, another computer-readable storage medium is provided, wherein the another computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to perform the following method:

[0014] Receiving blood flow resistance parameters of the target peripheral arterial blood vessel in a resting state and a congested state;

[0015] According to the blood flow resistance parameter in the resting state, obtaining a reference value of the blood flow resistance in the resting state;

[0016] Acquiring a blood flow resistance reference value in a congestive state according to the blood flow resistance parameter in a congestive state;

[0017] The ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the hyperemic state is obtained.

[0018] In a fourth aspect of the present application, another peripheral vascular function index acquisition device is provided, comprising the another computer-readable storage medium;

[0019] The device further includes a processor; the processor is configured to execute the computer program stored in the other computer-readable storage medium.

[0020] In a fifth aspect of the present application, a third computer-readable storage medium is provided, wherein the third computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer executes the following method:

[0021] Receiving blood flow parameters of a target peripheral arterial blood vessel in a resting state and a hyperemic state, wherein the blood flow parameters include a blood flow rate or a blood flow velocity;

[0022] According to the blood flow parameters in the resting state and the hyperemia state, obtaining a reference value of the blood flow parameter in the resting state and a reference value of the blood flow parameter in the hyperemia state;

[0023] The ratio of the blood flow parameter reference value in the resting state to the blood flow parameter reference value in the hyperemic state is obtained.

[0024] In a sixth aspect of the present application, a third peripheral vascular function index acquisition device is provided, comprising the third computer-readable storage medium mentioned above;

[0025] The device also includes a processor; the processor is used to execute the computer program stored in the third computer-readable storage medium.

[0026] One embodiment of the present application obtains the ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the congested state through the blood pressure parameters in the resting state and the congested state, and the blood flow parameters in the resting state and the congested state of the target peripheral arterial blood vessel. The ratio can reflect the blood supply reserve released by the blood supply network when the organ corresponding to the target peripheral arterial blood vessel changes from the resting state to the congested state, thereby evaluating the vascular distensibility and overall blood supply condition retained by the organ. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative labor.

[0028] Figure 1 A flowchart of peripheral vascular function assessment according to one embodiment of the present application;

[0029] Figure 2 A blood pressure curve image with respect to time obtained by an embodiment of the present application;

[0030] Figure 3 A blood flow velocity curve image with respect to time obtained by an embodiment of the present application;

[0031] Figure 4 The blood flow resistance curve image with respect to time obtained by one embodiment of the present application;

[0032] Figure 5 This is a schematic diagram of the structure of a peripheral vascular function index acquisition device according to an embodiment of the present application;

[0033] Figure 6 This is a schematic diagram of the structure of a peripheral vascular function index acquisition device installed on a lower limb according to an embodiment of the present application;

[0034] Figure 7 The present invention is a flowchart of evaluating peripheral vascular function according to another embodiment of the present application. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be understood that these implementation methods are only used to illustrate the present invention and are not used to limit the scope. After reading the present invention, modifications of various equivalent forms of the present invention by those skilled in the art all fall within the scope defined by the present application.

[0036] It should be noted that when an element is referred to as being "disposed on" another element, it may be directly on the other element or there may be an intermediate element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be an intermediate element at the same time.

[0037] The following will be combined Figures 1 to 7 The peripheral vascular function index acquisition device of the embodiment of this specification is explained and described. It should be noted that in the embodiment of the present invention, the same reference numerals represent the same components. For the sake of brevity, the detailed description of the same components is omitted in different embodiments, and the descriptions of the same components can be referenced and quoted to each other.

[0038] Peripheral blood vessels mainly refer to blood vessels other than cardiovascular and cerebral blood vessels, including trunk blood vessels, visceral blood vessels and limb blood vessels, as well as arteries, veins and capillaries therein.

[0039] The main arteries in the peripheral blood vessels deliver blood to various organs (such as limbs) of the human body and maintain blood pressure. Multiple arteries are connected by thinner collateral vessels, while microcirculation provides the function of regulating blood supply to tissues to meet the blood supply needs under different physiological conditions. The blood supply network formed by the main arteries, collaterals and microcirculation enables the blood flow in various organs of the human body to have a larger dynamic regulation range and a higher compensatory ability for local arterial lesions.

[0040] At present, the hemodynamic assessment technology of peripheral arterial disease mainly observes the blood flow velocity, blood pressure, and lesion stenosis morphology in the main peripheral arteries at rest, or observes the oxygen partial pressure or microcirculation in the skin tissue. In addition, the existing technology for measuring vascular flow velocity or segmental pressure is used to evaluate the lesions of the branch blood vessels, rather than the function of the blood supply network. Pressure, flow, and resistance affect each other. If only the blood pressure of the peripheral arteries is observed, the actual blood flow and the degree of ischemia cannot be known; if only the blood flow or blood flow velocity of the peripheral arteries is observed, the impact of the patient's aortic pressure or upstream lesions on the blood flow value is ignored.

[0041] On the one hand, the above indicators cannot evaluate the overall blood supply status of the local organ blood supply network, such as the overall blood supply status of the lower limbs; on the other hand, they cannot dynamically evaluate the blood supply capacity of the local organs of patients under different physiological conditions.

[0042] In the present application, blood flow rate Q is the amount of blood flowing through a certain cross-section of a blood vessel per unit time, also known as volume velocity, and its unit is milliliters or liters per minute (ml / min or L / min).

[0043] Blood flow velocity v refers to the linear velocity of blood flowing in blood vessels, that is, the distance a particle moves in blood vessels per unit time, as shown in the following formula:

[0044] v=Q / S

[0045] Where S is the cross-sectional area of ​​the blood vessel.

[0046] Therefore, when the cross-sectional area S of the blood vessel is known, the blood flow rate Q and the blood flow velocity v can be converted to each other.

[0047] In this application, blood flow resistance can be calculated as conventional blood flow resistance R, normalized blood flow resistance R n , any one of the blood flow resistance indicators r.

[0048] When the blood flow fluid is flowing, the conventional blood flow resistance R is proportional to the pressure difference at both ends of the blood vessel and inversely proportional to the blood flow rate Q, as shown in the following formula:

[0049] R=(P-P1) / Q

[0050] For a certain organ, Q represents the blood flow rate of the organ, P represents the arterial blood pressure of the organ, P1 represents the venous blood pressure of the organ, and R is equivalent to the normal blood flow resistance of the organ.

[0051] In the present application, the venous blood pressure P1 may be an empirical value, such as 0.97 kPa; or, the venous blood pressure P1 may be 0.

[0052] When the venous pressure P1 is 0,

[0053] R=P / Q

[0054] Normalized blood flow resistance R n , see the following formula:

[0055] R n =PM0 / Q

[0056] Where M0 represents the weight of the perfused organ.

[0057] Blood flow resistance index r, see the following formula:

[0058] r=P / v.

[0059] An optional embodiment of the present application provides a computer-readable storage medium for peripheral vascular function assessment, wherein the computer-readable storage medium is used to store a computer program. When the computer program is executed on a computer, the computer executes the following method:

[0060] S102, receiving blood pressure parameters of the target peripheral arterial blood vessel in a resting state and a congested state; receiving blood flow parameters of the target peripheral arterial blood vessel in a resting state and a congested state, wherein the blood flow parameters include blood flow volume or blood flow velocity;

[0061] The target peripheral arterial vessels may be trunk vessels, visceral vessels, or limb vessels; for example, the popliteal artery of the lower limb;

[0062] Methods for inducing a hyperemia state from a resting state include increasing temperature, limb movement, using vasoactive drugs, temporarily blocking blood flow to induce subsequent reactive hyperemia, etc., and this application does not limit this.

[0063] S104, acquiring a resting blood flow resistance reference value according to the resting blood pressure parameter and the resting blood flow parameter;

[0064] A blood flow resistance reference value in the congestive state is acquired according to the blood pressure parameter in the congestive state and the blood flow parameter in the congestive state.

[0065] S106. Obtain a ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the hyperemic state.

[0066] Optionally, the ratio of the resting blood flow resistance reference value R0 to the congestion state blood flow resistance reference value R1 is R0 / R1, or the ratio of the resting blood flow resistance reference value R0 to the congestion state blood flow resistance reference value R1 is R1 / R0.

[0067] The above embodiment obtains the ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the congested state through the blood pressure parameters in the resting state and the congested state, and the blood flow parameters in the resting state and the congested state, and uses the ratio as a peripheral vascular function index. The ratio can reflect the blood supply reserve released by the blood supply network when the organ corresponding to the target peripheral arterial vessel changes from the resting state to the congested state, thereby evaluating the vascular distensibility and overall blood supply condition retained by the organ.

[0068] In an optional embodiment, the blood pressure parameters include multiple groups of real-time blood pressures recorded in time series; the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series;

[0069] In step S104, the blood flow resistance reference value at rest is obtained according to the blood pressure parameter at rest and the blood flow parameter at rest, including:

[0070] S202, performing data smoothing processing on multiple groups of real-time blood pressures in a resting state;

[0071] Performing data smoothing processing on multiple groups of the real-time blood flow parameters in the resting state;

[0072] S204: Obtain a resting blood flow resistance reference value according to the multiple sets of resting real-time blood pressures and the multiple sets of resting real-time blood flow parameters after smoothing.

[0073] The step of obtaining a blood flow resistance reference value in a congestive state according to the blood pressure parameter in a congestive state and the blood flow parameter in a congestive state includes:

[0074] S302, performing data smoothing processing on the multiple groups of real-time blood pressures in the congestion state;

[0075] Performing data smoothing processing on the multiple groups of real-time blood flow parameters in the hyperemia state;

[0076] S304: Obtain a blood flow resistance reference value in the congestive state according to the multiple sets of real-time blood pressures in the congestive state after smoothing and the multiple sets of real-time blood flow parameters in the congestive state after smoothing.

[0077] The data smoothing process in step S202 and step S302 may use one or more of the sliding average method, Savitzky Golay Filter, Good-Turing estimation method, median method, etc., which is not limited in this application.

[0078] In an optional specific embodiment, the blood pressure parameter includes multiple groups of real-time blood pressure recorded in time series during consecutive time periods in a resting state and a hyperemic state;

[0079] The step of performing data smoothing on the multiple groups of real-time blood pressures in the resting state and the step of performing data smoothing on the multiple groups of real-time blood pressures in the congestive state include:

[0080] According to the multiple groups of real-time blood pressure recorded in time series during the continuous time periods of the resting state and the congested state, the real-time smoothed blood pressure P of the resting state and the congested state is obtained. s [n]; among them,

[0081]

[0082] N represents the number of times the real-time blood pressure is recorded within the first preset time period, and the duration of the first preset time period can be set to, for example, 1 second; n represents the recording sequence number of the real-time blood pressure; P[nk] represents the real-time blood pressure of the (nk)th record.

[0083] In this embodiment, P s [n] The real-time blood pressure in the resting state and the hyperemic state after smoothing.

[0084] In another optional specific embodiment, the data smoothing processing of the multiple groups of real-time blood pressures in the resting state and the data smoothing processing of the multiple groups of real-time blood pressures in the congestive state also include:

[0085] According to the real-time smoothed blood pressure in the resting state and the hyperemic state, the real-time mean arterial pressure P′[n] in the resting state and the hyperemic state is obtained; wherein,

[0086] P′[n]=αmax{P s [l]:nm<l≤n}+βmin{P s [l]:nM<l≤n}

[0087] n and l represent the record serial number of the real-time blood pressure respectively; s [l] represents the real-time smoothed blood pressure of the lth record; α represents the systolic pressure coefficient, which can be 1 / 3; β represents the diastolic pressure coefficient, which can be 2 / 3; M represents the number of times the real-time blood pressure is recorded within the second preset time period, and the duration of the second preset time period is greater than one cardiac cycle, for example, it can be set to 1.5 seconds.

[0088] In this embodiment, P′[n] is used as the real-time blood pressure of multiple groups of resting states and hyperemia states after smoothing, and the following can be obtained: Figure 2 The blood pressure curve image with respect to time is shown.

[0089] In another optional specific embodiment, the data smoothing processing of the multiple groups of real-time blood pressures in the resting state and the data smoothing processing of the multiple groups of real-time blood pressures in the congested state can also be performed based on the multiple groups of real-time blood pressures recorded in time series during continuous time periods in the resting state and the congested state, to obtain the mean arterial pressure for each cardiac cycle as the multiple groups of real-time blood pressures in the resting state and the congested state after smoothing.

[0090] In an optional specific embodiment, the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series during continuous time periods in a resting state and a hyperemic state;

[0091] The data smoothing process is performed on the multiple groups of real-time blood flow parameters in the resting state, and the data smoothing process is performed on the multiple groups of real-time blood flow parameters in the hyperemia state, including:

[0092] According to the multiple groups of real-time blood flow parameters recorded in time series during the continuous time periods of the resting state and the hyperemia state, the real-time smoothed blood flow parameters f′[m] of the resting state and the hyperemia state are obtained; wherein,

[0093]

[0094] Q represents the number of times the real-time blood flow parameter is recorded within the third preset time period, m represents the recording sequence number of the real-time blood flow parameter, and f[mk] represents the real-time blood flow parameter of the (mk)th record.

[0095] In this embodiment, f′[m] is used as the smoothed blood flow parameters of multiple groups of resting and hyperemic states. When the blood flow parameter is the blood flow velocity, the following can be obtained: Figure 3 The blood flow velocity curve with respect to time is shown.

[0096] In an optional embodiment of step S204 and step S304, the reference value of the blood flow resistance in the resting state is obtained according to the multiple sets of real-time blood pressure in the resting state after smoothing and the multiple sets of real-time blood flow parameters in the resting state after smoothing, including:

[0097] S402, acquiring multiple sets of resting state real-time smoothed blood flow resistance according to the multiple sets of resting state real-time blood pressures and the multiple sets of resting state real-time blood flow parameters after smoothing;

[0098] S404. Obtain a resting-state blood flow resistance reference value based on multiple groups of resting-state real-time smoothed blood flow resistances; optionally, use the real-time smoothed blood flow resistance at any moment in the resting state as the resting-state blood flow resistance reference value; or use the real-time smoothed blood flow resistance at a time point before the induced congestion state as the resting-state blood flow resistance reference value; or calculate the average value of multiple real-time smoothed blood flow resistances as the resting-state blood flow resistance reference value.

[0099] The step of obtaining a blood flow resistance reference value in a congestive state according to the multiple sets of real-time blood pressures in a congestive state after smoothing and the multiple sets of real-time blood flow parameters in a congestive state after smoothing includes:

[0100] S502, acquiring multiple sets of real-time smoothed blood flow resistances in the congestive state according to the multiple sets of real-time blood pressures in the congestive state after smoothing and the multiple sets of real-time blood flow parameters in the congestive state after smoothing;

[0101] S504: Obtain a blood flow resistance reference value in a congestive state according to a plurality of sets of real-time smoothed blood flow resistances in a congestive state. Optionally, use the minimum real-time smoothed blood flow resistance in a congestive state as the blood flow resistance reference value in a congestive state.

[0102] In a specific embodiment, the blood pressure parameters include multiple groups of real-time blood pressures recorded in time series during continuous time periods in the resting state and the hyperemia state; the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series during continuous time periods in the resting state and the hyperemia state. The real-time mean arterial pressure P'[n] in the resting state and the hyperemia state is used as the multiple groups of real-time blood pressures in the resting state and the hyperemia state after smoothing; the real-time smoothed blood flow parameters f'[m] in the resting state and the hyperemia state are used as the multiple groups of blood flow parameters in the resting state and the hyperemia state after smoothing.

[0103] When multiple sets of real-time blood pressure and multiple sets of real-time blood flow parameters are measured synchronously, the real-time smooth blood flow resistance R′[n] of the resting state and the hyperemic state of the record number n of the real-time blood pressure can be expressed as

[0104] R′[n]=P′[n] / f′[m]

[0105] Among them, m=n.

[0106] When the measurement of multiple sets of real-time blood pressure and multiple sets of real-time blood flow parameters is synchronous or asynchronous, optionally, the curve P′[t] of the real-time mean arterial pressure with respect to time t is obtained by fitting according to P′[n], and the curve f′[t] of the real-time smooth blood flow parameters with respect to time t is obtained by fitting according to f′[m]. Then, the real-time smooth blood flow resistance R′[t] in the resting state and the hyperemic state with respect to time t can be expressed as:

[0107] R′[t]=P′[t] / f′[t].

[0108] The above embodiment can obtain Figure 4 The blood flow resistance curve with respect to time is shown.

[0109] The process of evaluating peripheral vascular function by this embodiment is as follows: Figure 1 shown.

[0110] In another optional embodiment of step S204 and step S304, obtaining a reference value of blood flow resistance in a resting state according to the multiple sets of real-time blood pressures in a resting state after smoothing and the multiple sets of real-time blood flow parameters in a resting state after smoothing comprises:

[0111] S602. Obtain a reference value of blood pressure in a resting state and a reference value of blood flow parameters in a resting state according to the multiple sets of real-time blood pressure in a resting state after smoothing and the multiple sets of real-time blood flow parameters in a resting state after smoothing. Optionally, the real-time blood pressure and the real-time blood flow parameters in a resting state after smoothing at any moment are used as the reference value of blood pressure in a resting state and the reference value of blood flow parameters in a resting state; or the real-time blood pressure and the real-time blood flow parameters in a resting state after smoothing at a time point before the induced congestion state are used as the reference value of blood pressure in a resting state and the reference value of blood flow parameters in a resting state; or the average value of the real-time blood pressure and the average value of the real-time blood flow parameters in any period of a resting state after smoothing are calculated as the reference value of blood pressure in a resting state and the reference value of blood flow parameters in a resting state.

[0112] S604: Obtain a resting blood flow resistance reference value according to the resting blood pressure reference value and the resting blood flow parameter reference value.

[0113] The step of obtaining a blood flow resistance reference value in a congestive state according to the multiple sets of real-time blood pressures in a congestive state after smoothing and the multiple sets of real-time blood flow parameters in a congestive state after smoothing comprises:

[0114] S702. Obtain a blood pressure reference value and a blood flow parameter reference value in the congestive state based on the multiple groups of real-time blood pressures in the congestive state after smoothing and the multiple groups of real-time blood flow parameters in the congestive state after smoothing; optionally, use the lowest real-time smoothed blood pressure in the congestive state as the blood pressure reference value in the congestive state, and use the real-time smoothed blood flow parameters in the congestive state recorded at the same time as the blood flow parameter reference value in the congestive state; or, use the maximum real-time smoothed blood flow parameters in the congestive state as the blood flow parameter reference value in the congestive state, and use the real-time smoothed blood pressure in the congestive state recorded at the same time as the blood pressure reference value in the congestive state.

[0115] S704: Obtain a blood flow resistance reference value in the congestive state according to the blood pressure reference value in the congestive state and the blood flow parameter reference value in the congestive state.

[0116] In another optional embodiment, the blood pressure parameters include multiple groups of real-time blood pressures recorded in time series; the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series;

[0117] In step S104, the blood flow resistance reference value at rest is obtained according to the blood pressure parameter at rest and the blood flow parameter at rest, including:

[0118] S802, acquiring multiple sets of resting-state real-time blood flow resistances according to multiple sets of resting-state real-time blood pressures and multiple sets of resting-state real-time blood flow parameters;

[0119] S804, performing data smoothing processing on the multiple groups of resting-state real-time blood flow resistances to obtain multiple groups of resting-state real-time smoothed blood flow resistances;

[0120] S806. Obtain a resting-state blood flow resistance reference value based on the multiple groups of real-time smooth blood flow resistances in the resting state; optionally, use the real-time smooth blood flow resistance at any moment in the resting state as the resting-state blood flow resistance reference value; or use the real-time smooth blood flow resistance at a time point before the induced congestion state as the resting-state blood flow resistance reference value; or calculate the average value of multiple real-time smooth blood flow resistances as the resting-state blood flow resistance reference value.

[0121] The step of obtaining a blood flow resistance reference value in a congestive state according to the blood pressure parameter in a congestive state and the blood flow parameter in a congestive state includes:

[0122] S902, acquiring multiple sets of real-time blood flow resistances in the congestion state according to multiple sets of real-time blood pressures in the congestion state and multiple sets of real-time blood flow parameters in the congestion state;

[0123] S904, performing data smoothing processing on the multiple groups of real-time blood flow resistances in the congestion state to obtain multiple groups of real-time smoothed blood flow resistances in the congestion state;

[0124] S906. Obtain a blood flow resistance reference value in the congestive state according to the multiple groups of real-time smoothed blood flow resistances in the congestive state; optionally, use the minimum real-time smoothed blood flow resistance in the congestive state as the blood flow resistance reference value in the congestive state.

[0125] In an optional specific embodiment, the blood pressure parameters include multiple groups of real-time blood pressure P[n] recorded in time series during continuous time periods in a resting state and a congested state; the blood flow parameters include multiple groups of real-time blood flow parameters f[m] recorded in time series during continuous time periods in a resting state and a congested state.

[0126] When multiple sets of real-time blood pressure and multiple sets of real-time blood flow parameters are measured synchronously, the real-time blood flow resistance R[n] in the resting state and the hyperemic state can be expressed as

[0127] R[n]=P[n] / f[m]

[0128] Among them, m=n.

[0129] When the measurements of multiple sets of real-time blood pressure and multiple sets of real-time blood flow parameters are asynchronous or synchronous, optionally, a curve P[t] of the real-time blood pressure with respect to time t is obtained by fitting according to P[n], and a curve f[t] of the real-time blood flow parameters with respect to time t is obtained by fitting according to f[m]. Then, the real-time blood flow resistance R[t] in the resting state and the hyperemic state can be expressed as:

[0130] R[t]=P[t] / f[t]

[0131] The real-time blood flow resistance in the resting state and the congested state is subjected to data smoothing, and one or more of the sliding average method, Savitzky Golay Filter, Good-Turing estimation method, median method, etc. may be selected, and this application does not impose any limitation on this.

[0132] In step S102 of this embodiment, the received blood pressure parameters of the target peripheral arterial blood vessel in the resting state and the hyperemic state may also be the mean arterial pressure P0 at any moment in the resting state and the minimum mean arterial pressure P1 in the hyperemic state;

[0133] The received blood flow parameters of the target peripheral arterial blood vessel in the resting state and the hyperemic state may also be the average blood flow parameter f0 of any period of time in the resting state and the maximum blood flow parameter f1 in the hyperemic state.

[0134] The reference value of blood flow resistance R0 at rest can be obtained

[0135] R0=P0 / f0

[0136] And the blood flow resistance reference value R1 in the hyperemic state

[0137] R1=P1 / f1

[0138] In addition, in step S102 of this embodiment, the received blood pressure parameters of the target peripheral arterial blood vessels in the resting state and the congested state, and the received blood flow parameters of the target peripheral arterial blood vessels in the resting state and the congested state may be at least one parameter of which is a real-time value, and at least one parameter is a smoothed value after data processing. This application does not impose any restrictions on this. According to different parameter types, the corresponding processing can be performed with reference to the technical solutions described in the above embodiments, and this application will not describe them in detail one by one.

[0139] Another embodiment of the present application provides a peripheral vascular function index acquisition device, including the computer-readable storage medium of the above embodiment; the device also includes a processor; the processor is used to execute the computer program stored in the computer-readable storage medium.

[0140] Optionally, the apparatus further includes a parameter acquisition device.

[0141] In an optional embodiment, the parameter acquisition device is used to collect the hemodynamic parameters of the target peripheral arterial blood vessels in the resting state and the congested state; and the parameter acquisition device is also used to send the hemodynamic parameters of the target peripheral arterial blood vessels in the resting state and the congested state to the processor; the hemodynamic parameters include blood pressure parameters and / or blood flow parameters.

[0142] In this embodiment, when the hemodynamic parameters collected by the parameter acquisition device include blood pressure parameters and blood flow parameters, the resting state and congestion state blood pressure parameters of the target peripheral arterial blood vessels received by the processor are measured and sent by the parameter acquisition device of the device; the resting state and congestion state blood flow parameters of the target peripheral arterial blood vessels received by the processor are measured and sent by the parameter acquisition device of the device.

[0143] When the hemodynamic parameters collected by the parameter acquisition device only include blood flow parameters, the resting and congested blood pressure parameters of the target peripheral arterial vessels received by the processor are measured and sent by devices other than the device; similarly, when the hemodynamic parameters collected by the parameter acquisition device only include blood pressure parameters, the resting and congested blood flow parameters of the target peripheral arterial vessels received by the processor are measured and sent by devices other than the device.

[0144] Optionally, the parameter acquisition device includes an ultrasound sticker; the ultrasound sticker is used to collect the hemodynamic parameters of the target peripheral arterial blood vessels in the resting state and the congested state.

[0145] The ultrasonic patch comprises:

[0146] The shell is configured to be fixed on the surface of the patient's skin;

[0147] An ultrasonic transducer array is disposed on the housing; the ultrasonic transducer array is used to transmit ultrasonic signals to the target peripheral arterial blood vessels and receive echo signals;

[0148] A processing device is arranged on the shell; the processing device is used to obtain the hemodynamic parameters of the peripheral arterial blood vessel according to the Doppler frequency shift in the echo signal.

[0149] The ultrasound patch can also be replaced by other technical equipment, and this application does not limit it. For example, the blood flow parameters are measured by angiography equipment, but it is limited to providing the blood flow velocity for a few seconds when the contrast agent flows through; for another example, the temperature dilution method is used to sense the cooling of saline through an interventional guidewire, and the flow velocity is inferred in reverse, but it is only the blood flow velocity for a few seconds when the saline is injected. The ultrasound patch can be worn on the human body and continuously records the changes of the human body from a resting state to an induced congestion state for several minutes, and the measurement data is more complete and comprehensive. Optionally, the ultrasound patch can also be used to directly or indirectly collect the blood pressure parameters of the target peripheral arterial blood vessels in the resting state and the congestion state.

[0150] Another option, such as Figure 5As shown, the parameter acquisition device includes an ultrasound patch 1 and a pressure sensor 2. The ultrasound patch 1 is used to collect the blood flow parameters of the target peripheral artery in the resting state and the congested state. The pressure sensor 2 is used to collect the blood pressure parameters of the target peripheral artery in the resting state and the congested state; optionally, the pressure sensor 2 measures the blood pressure by connecting to an interventional catheter placed in a blood vessel, or collects blood pressure in vitro using an inflatable cuff device placed on a limb.

[0151] Optionally, the processor may be a module; or may include multiple modules, for example, one of the modules is integrated on the parameter acquisition device to perform data smoothing processing on multiple groups of real-time blood flow parameters.

[0152] Optionally, the device further comprises a base; in a specific embodiment, as Figure 6 As shown, the part evaluated by the device is the lower limb; the base is a strap 3, the parameter acquisition equipment is fixed on the strap 3, the computer-readable storage medium and the processor can also be fixed on the strap 3; the strap 3 is wrapped and fixed on the patient's lower limb, so that the position of the ultrasound sticker is suitable for transmitting ultrasonic signals to the popliteal artery. Compared with the myocardium and major organs, the skeletal muscles of the limbs have a particularly large blood supply reserve. The blood flow in the resting state and the congested state during extremely oxygen-consuming exercise can differ by 10 times. Using this blood supply reserve as an evaluation indicator for vascular diseases has a higher evaluation sensitivity.

[0153] Optionally, the device further comprises a display 4; the display 4 is used to display parameters and graphs measured and calculated by the device.

[0154] Another embodiment of the present application provides another computer-readable storage medium, wherein the computer-readable storage medium is used to store a computer program. When the computer program is executed on a computer, the computer is caused to execute the following method:

[0155] S1002, receiving blood flow resistance parameters of the target peripheral arterial blood vessel in a resting state and a hyperemic state;

[0156] S1004, obtaining a resting-state blood flow resistance reference value according to the resting-state blood flow resistance parameter;

[0157] Acquiring a blood flow resistance reference value in a congestive state according to the blood flow resistance parameter in a congestive state;

[0158] S1006. Obtain a ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the hyperemic state.

[0159] The ratio is used as an indicator of peripheral vascular function. The ratio can reflect the amount of blood supply reserves released by the blood supply network when the organ corresponding to the target peripheral arterial vessel changes from a resting state to a congested state, thereby evaluating the vascular distensibility and overall blood supply status retained by the organ.

[0160] The blood flow resistance parameter is optional and includes one of the following:

[0161] Multiple groups of real-time smoothed blood flow resistance recorded in time series;

[0162] Multiple groups of real-time blood flow resistance recorded in time series;

[0163] Reference value of blood flow resistance.

[0164] Optionally, the blood flow resistance parameter includes multiple groups of real-time smoothed blood flow resistance recorded in time series; the real-time smoothed blood flow resistance can be obtained in one of the following two ways:

[0165] Method 1:

[0166] S1102, obtaining multiple groups of real-time blood pressure and real-time blood flow parameters of the target peripheral arterial blood vessels recorded in time series; the real-time blood flow parameters include real-time blood flow volume or real-time blood flow velocity;

[0167] S1104, performing data smoothing processing on the multiple groups of real-time blood pressure and the multiple groups of real-time blood flow parameters respectively;

[0168] S1106, obtaining the real-time smoothed blood flow resistance according to the multiple groups of real-time blood pressures after smoothing and the multiple groups of real-time blood flow parameters after smoothing;

[0169] or,

[0170] Method 2:

[0171] S1202, obtaining multiple groups of real-time blood pressure and real-time blood flow parameters of the target peripheral arterial blood vessels recorded in time series; the real-time blood flow parameters include real-time blood flow volume or real-time blood flow velocity;

[0172] S1204, obtaining multiple sets of real-time blood flow resistance according to the multiple sets of real-time blood pressure and the multiple sets of real-time blood flow parameters;

[0173] S1206, performing data smoothing processing on the multiple groups of real-time blood flow resistances to obtain the real-time smoothed blood flow resistances.

[0174] The above method of obtaining the real-time smooth blood flow resistance is only used to define and explain the real-time smooth blood flow resistance; for more specific solutions, please refer to the description in the previous embodiment, which will not be repeated here. The product technical solution protected by this embodiment is not used for measuring or calculating the real-time smooth blood flow resistance; the real-time smooth blood flow resistance is measured and calculated by a device other than the product technical solution protected by this embodiment.

[0175] Alternatively, the blood flow resistance parameter includes multiple groups of real-time blood flow resistance recorded in time series;

[0176] The real-time blood flow resistance is obtained by:

[0177] S1302, obtaining multiple groups of real-time blood pressure and real-time blood flow parameters of the target peripheral arterial blood vessels recorded in time series; the real-time blood flow parameters include real-time blood flow volume or real-time blood flow velocity;

[0178] S1304. Obtain multiple sets of real-time blood flow resistances according to the multiple sets of real-time blood pressures and the multiple sets of real-time blood flow parameters.

[0179] The above method of obtaining the real-time blood flow resistance is only used to define and explain the real-time blood flow resistance. The product technical solution protected by this embodiment is not used for measuring or calculating the real-time blood flow resistance; the real-time blood flow resistance is measured and calculated by equipment other than the product technical solution protected by this embodiment.

[0180] The step of obtaining a reference value of the blood flow resistance at rest according to the blood flow resistance parameter at rest includes:

[0181] S1402, performing data smoothing processing on multiple groups of real-time blood flow resistances in the resting state to obtain real-time smoothed blood flow resistances in the resting state;

[0182] S1404. Obtain a resting-state blood flow resistance reference value according to the real-time smoothed blood flow resistance in the resting state.

[0183] Optionally, the real-time smooth blood flow resistance at any moment in the resting state is used as the reference value of the blood flow resistance in the resting state; or the real-time smooth blood flow resistance at a time point before the induced congestion state is used as the reference value of the blood flow resistance in the resting state; or the average value of multiple real-time smooth blood flow resistances is calculated as the reference value of the blood flow resistance in the resting state.

[0184] The step of obtaining a blood flow resistance reference value in a congestive state according to the blood flow resistance parameter in a congestive state includes:

[0185] S1502, performing data smoothing processing on multiple groups of real-time blood flow resistances in the congestion state to obtain real-time smoothed blood flow resistances in the congestion state;

[0186] S1504: Obtain a blood flow resistance reference value in the congestive state according to the real-time smoothed blood flow resistance in the congestive state.

[0187] Optionally, the minimum real-time smooth blood flow resistance in the congestive state is used as a reference value of the blood flow resistance in the congestive state.

[0188] Another embodiment of the present application provides another peripheral vascular function index acquisition device, including another computer-readable storage medium;

[0189] The device further includes a processor; the processor is configured to execute the computer program stored in the other computer-readable storage medium.

[0190] Another embodiment of the present application provides a third computer-readable storage medium, wherein the third computer-readable storage medium is used to store a computer program. When the computer program is run on a computer, the computer is caused to execute the following method:

[0191] S1602, receiving blood flow parameters of the target peripheral arterial blood vessel in a resting state and a hyperemic state, wherein the blood flow parameters include a blood flow rate or a blood flow velocity;

[0192] S1604, acquiring a reference value of a blood flow parameter in a resting state and a reference value of a blood flow parameter in a congested state according to the blood flow parameters in a resting state and a congested state;

[0193] S1606. Obtain a ratio of the blood flow parameter reference value in the resting state to the blood flow parameter reference value in the hyperemic state.

[0194] This embodiment obtains the ratio of the reference value of the blood flow parameters in the resting state to the reference value of the blood flow parameters in the congested state through the blood flow parameters in the resting state, and uses the ratio as an indicator of peripheral vascular function. The ratio can reflect the amount of blood supply reserve released by the blood supply network when the organ corresponding to the target peripheral arterial vessel changes from the resting state to the congested state, thereby evaluating the vascular distensibility and overall blood supply condition retained by the organ.

[0195] Optionally, the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series;

[0196] The step of obtaining a reference value of a blood flow parameter in a resting state and a reference value of a blood flow parameter in a congested state according to the blood flow parameters in a resting state and a congested state comprises:

[0197] S1702. Perform data smoothing processing on multiple groups of resting state real-time blood flow parameters to obtain multiple groups of resting state real-time smoothed blood flow parameters; obtain resting state blood flow parameter reference values ​​based on multiple groups of resting state real-time smoothed blood flow parameters; wherein, optionally, the real-time smoothed blood flow parameters at any moment in the resting state are used as resting state blood flow parameter reference values; or the real-time smoothed blood flow parameters at a time point before the induced congestion state are used as resting state blood flow parameter reference values; or the average value of multiple real-time smoothed blood flow parameters is calculated as the resting state blood flow parameter reference value.

[0198] S1704, performing data smoothing processing on multiple sets of real-time blood flow parameters in the congestive state to obtain multiple sets of real-time smoothed blood flow parameters in the congestive state; obtaining reference values ​​of blood flow parameters in the congestive state according to the multiple sets of real-time smoothed blood flow parameters in the congestive state. Optionally, the maximum real-time smoothed blood flow parameter in the congestive state is used as the reference value of blood flow parameters in the congestive state.

[0199] In a specific embodiment, the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series during continuous time periods in a resting state and a hyperemic state;

[0200] The data smoothing process is performed on the multiple groups of real-time blood flow parameters in the resting state, and the data smoothing process is performed on the multiple groups of real-time blood flow parameters in the hyperemia state, including:

[0201] According to the multiple groups of real-time blood flow parameters recorded in time series during the continuous time periods of the resting state and the hyperemia state, the real-time smoothed blood flow parameters f′[m] of the resting state and the hyperemia state are obtained; wherein,

[0202]

[0203] Q represents the number of times the real-time blood flow parameter is recorded within the third preset time period, m represents the recording sequence number of the real-time blood flow parameter, and f[mk] represents the real-time blood flow parameter of the (mk)th record.

[0204] In addition, in step S1602 of this embodiment, the received resting state and congestion state blood flow parameters of the target peripheral arterial blood vessels may also be smoothed values ​​after data processing; for example, the received resting state blood flow parameters of the target peripheral arterial blood vessels are the average blood flow parameters of any period of resting state, and the received congestion state blood flow parameters of the target peripheral arterial blood vessels are the maximum blood flow parameters f1 of the congestion state. This application does not limit this, and according to different parameter types, the corresponding processing can be performed with reference to the technical solutions recorded in the above embodiments, and this application does not describe them in detail one by one.

[0205] Another embodiment of the present application further provides another peripheral vascular function index acquisition device, including the above-mentioned another computer-readable storage medium;

[0206] The device further includes a processor; the processor is configured to execute the computer program stored in the other computer-readable storage medium.

[0207] Optionally, the other peripheral vascular function index acquisition device also includes a parameter acquisition device; the parameter acquisition device is used to collect the blood flow parameters of the target peripheral arterial blood vessels in the resting state and the congested state; and the parameter acquisition device is also used to send the blood flow parameters of the target peripheral arterial blood vessels in the resting state and the congested state to the processor.

[0208] Optionally, the parameter acquisition device includes an ultrasound sticker; the ultrasound sticker is used to collect the blood flow parameters of the target peripheral arterial blood vessels in the resting state and the congested state.

[0209] The ultrasonic patch comprises:

[0210] The shell is configured to be fixed on the surface of the patient's skin;

[0211] An ultrasonic transducer array is disposed on the housing; the ultrasonic transducer array is used to transmit ultrasonic signals to the target peripheral arterial blood vessels and receive echo signals;

[0212] A processing device is arranged on the housing; the processing device is used to obtain the blood flow parameters of the peripheral arterial blood vessel according to the Doppler frequency shift in the echo signal.

[0213] The ultrasound patch can also be replaced by other technical equipment, and this application does not limit it. For example, the blood flow parameters are measured by angiography equipment, but it is limited to providing the blood flow velocity for a few seconds when the contrast agent flows through; for another example, the temperature dilution method is used to sense the cooling of saline through an interventional guidewire, and the flow velocity is inferred in reverse, but it is only the blood flow velocity for a few seconds when the saline is injected. The ultrasound patch can be worn on the human body and continuously record the changes of the human body from a resting state to an induced congestion state for several minutes, and the measurement data is more complete and comprehensive.

[0214] Optionally, the processor may be a module; or may include multiple modules, for example, one of the modules is integrated on the parameter acquisition device to perform data smoothing processing on multiple groups of real-time blood flow parameters.

[0215] Optionally, the other peripheral vascular function index acquisition device further includes a base; in a specific embodiment, the part evaluated by the device is the lower limb; the base is a strap, the computer-readable storage medium, the processor and the parameter acquisition device are all fixed on the strap, and the strap is wrapped and fixed on the patient's lower limb so that the position of the ultrasound sticker is suitable for transmitting an ultrasonic signal to the popliteal artery. Compared with the myocardium and major organs, the skeletal muscles of the limbs have a particularly large blood supply reserve. The blood flow in the resting state and the congested state during extremely oxygen-consuming exercise can differ by 10 times. Using this blood supply reserve as an evaluation indicator for vascular disease has a higher evaluation sensitivity.

[0216] Yet another embodiment of the present application provides a fourth computer-readable storage medium, wherein the fourth computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to execute the following method:

[0217] S1802, receiving multiple sets of real-time blood pressure and real-time blood flow parameters of the target peripheral arterial blood vessels recorded in time series during a continuous period of time when the target peripheral arterial blood vessels are in a resting state and a congested state; the real-time blood flow parameters include real-time blood flow volume or real-time blood flow velocity;

[0218] S1804: Acquire a blood flow resistance curve image with respect to time according to the real-time blood pressure and the real-time blood flow parameter.

[0219] When the blood fluid is flowing, the blood flow resistance is proportional to the pressure difference at both ends of the blood vessel, and inversely proportional to the blood flow rate; this embodiment enables doctors to intuitively obtain the real-time state and dynamic change process of the blood flow resistance from the resting state to the congested state through the continuous blood flow resistance curve image from the resting state to the congested state; and through the blood flow resistance curve image, doctors can quickly capture the blood flow resistance value at any moment of interest, such as the maximum and minimum values ​​of the blood flow resistance, so as to further compare the blood flow resistance values ​​in the resting state and the congested state, and evaluate the overall blood supply condition of the peripheral blood vessels through the blood flow resistance curve image.

[0220] In an optional embodiment of step S1804, acquiring a blood flow resistance curve image with respect to time according to the real-time blood pressure and the real-time blood flow parameter includes:

[0221] S1902: Perform data smoothing on the real-time blood pressure to obtain Figure 2 The blood pressure curve image with respect to time is shown;

[0222] The real-time blood flow parameter is subjected to data smoothing processing; when the blood flow parameter is the blood flow velocity, the following can be obtained: Figure 3The blood flow velocity curve image with respect to time is shown;

[0223] S1904, obtaining real-time smoothed blood flow resistance according to the real-time blood pressure after smoothing and the real-time blood flow parameter after smoothing;

[0224] S1906, according to the real-time smoothed blood flow resistance, obtain a blood flow resistance curve image with respect to time, such as Figure 4 shown.

[0225] The process of evaluating peripheral vascular function through the above embodiment is as follows: Figure 7 shown.

[0226] The data smoothing process in step S1902 may use one or more of the sliding average method, Savitzky Golay Filter, Good-Turing estimation method, median method, etc., and this application does not impose any limitation.

[0227] In an optional specific embodiment, the data smoothing processing of the real-time blood pressure includes:

[0228] Get real-time smoothed blood pressure P s [n]; among them,

[0229]

[0230] N represents the number of times the real-time blood pressure is recorded within the first preset time period, n represents the recording sequence number of the real-time blood pressure, and P[nk] represents the real-time blood pressure of the (nk)th record.

[0231] In this embodiment, P s [n] The real-time blood pressure after smoothing.

[0232] In another optional specific embodiment, the data smoothing processing of the real-time blood pressure also includes

[0233] According to the real-time smoothed blood pressure in the resting state and the hyperemic state, the real-time mean arterial pressure P′[n] in the resting state and the hyperemic state is obtained; wherein,

[0234] P′[n]=αmax{P s [l]:nM<l≤n}+βmin{P s [l]:nM <l≤n}

[0235] n and l represent the record serial number of the real-time blood pressure respectively; s[l] represents the real-time smoothed blood pressure of the lth record; α represents the systolic pressure coefficient, which can be 1 / 3; β represents the diastolic pressure coefficient, which can be 2 / 3; M represents the number of times the real-time blood pressure is recorded within the second preset time period, and the duration of the second preset time period is greater than one cardiac cycle, for example, it can be set to 1.5 seconds.

[0236] In this embodiment, P′[n] is taken as the real-time blood pressure after smoothing.

[0237] In another optional specific embodiment, the data smoothing processing of the multiple groups of real-time blood pressures in the resting state and the data smoothing processing of the multiple groups of real-time blood pressures in the congested state can also be performed based on the multiple groups of real-time blood pressures recorded in time series during continuous time periods in the resting state and the congested state, to obtain the mean arterial pressure for each cardiac cycle as the multiple groups of real-time blood pressures in the resting state and the congested state after smoothing.

[0238] In an optional specific embodiment, the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series during continuous time periods in a resting state and a hyperemic state;

[0239] The data smoothing process of the real-time blood flow parameters includes:

[0240] Obtain real-time smooth blood flow parameters f′[m]; where,

[0241]

[0242] Q represents the number of times the real-time blood flow parameter is recorded within the third preset time period, m represents the recording sequence number of the real-time blood flow parameter, and f[mk] represents the real-time blood flow parameter of the (mk)th record.

[0243] In this embodiment, f′[m] is used as the smoothed sets of blood flow parameters in the resting state and the hyperemic state.

[0244] In an optional embodiment of step S1904, obtaining the real-time smoothed blood flow resistance according to the real-time blood pressure after smoothing and the real-time blood flow parameter after smoothing includes:

[0245] According to the real-time mean arterial pressure P′[n], a curve function P′[t] of the real-time mean arterial pressure with respect to time t is obtained; according to the real-time smooth blood flow parameter f′[m], a curve function f′[t] of the real-time smooth blood flow parameter with respect to time t is obtained;

[0246] According to the curve function P′[t] and the curve function f′[t], the real-time smooth blood flow resistance R′[t] about time t is obtained, where

[0247] R′[t]=P′[t] / f′[t].

[0248] In this embodiment, R′[t] is the blood flow resistance curve image with respect to time.

[0249] In an optional embodiment of step S1904, when the real-time blood pressure and the real-time blood flow parameter are measured synchronously, the real-time smoothed blood flow resistance is obtained according to the real-time blood pressure after smoothing and the real-time blood flow parameter after smoothing, including:

[0250] Obtain the real-time smooth blood flow resistance R′[n] of the record number n of the real-time blood pressure, where

[0251] R′[n]=P′[n] / f′[m]

[0252] Among them, m=n.

[0253] Optionally, the discrete points in R′[n] are connected in sequence in time order to obtain a blood flow resistance curve image with respect to time, and the blood flow resistance curve image has discrete values.

[0254] Alternatively, a blood flow resistance curve image with respect to time is obtained by fitting based on the real-time smoothed blood flow resistance R′[n] of the record number n of the real-time blood pressure.

[0255] In another optional embodiment of step S1804, acquiring a blood flow resistance curve image with respect to time according to the real-time blood pressure and the real-time blood flow parameter includes:

[0256] S2002, obtaining real-time blood flow resistance according to the real-time blood pressure and the real-time blood flow parameter;

[0257] S2004: Acquire a blood flow resistance curve image with respect to time according to the real-time blood flow resistance.

[0258] The measurement of multiple sets of real-time blood pressure P[n] and multiple sets of real-time blood flow parameters f[m] can be synchronized or asynchronous. In an optional embodiment of step S2002, the curve P[t] of the real-time blood pressure with respect to time t is obtained by fitting P[n], and the curve f[t] of the real-time blood flow parameters with respect to time t is obtained by fitting f[m]. Then, the real-time blood flow resistance can be expressed as R[t], where

[0259] R[t]=P[t] / f[t]

[0260] In step S2004, optionally, R[t] is used as a blood flow resistance curve image with respect to time.

[0261] Alternatively, data smoothing is performed on the real-time blood flow resistance R[t] to obtain a blood flow resistance curve image with respect to time.

[0262] The real-time blood flow resistance R[t] is subjected to data smoothing processing, and one or more of the sliding average method, Savitzky Golay Filter, Good-Turing estimation method, median method, etc. may be selected, and this application does not impose any limitation on this.

[0263] In another optional specific embodiment of step S2002, when the measurement of multiple sets of real-time blood pressure P[n] and multiple sets of real-time blood flow parameters f[m] are synchronized, the real-time blood flow resistance can be expressed as R[n],

[0264] R[n]=P[n] / f[m]

[0265] Among them, m=n.

[0266] In step S2004, optionally, the discrete points in R[n] are sequentially connected in time order to obtain a blood flow resistance curve image with respect to time, the blood flow resistance curve image having discrete values. Optionally, data smoothing processing can also be performed on the blood flow resistance curve image.

[0267] Alternatively, the blood flow resistance curve image with respect to time is obtained by fitting according to the real-time blood flow resistance R[n] of the record number n of the real-time blood pressure. Optionally, the blood flow resistance curve image may also be subjected to data smoothing processing.

[0268] Optionally, the method executed by the computer further includes:

[0269] S2102. Obtain a reference value of blood flow resistance in a resting state and a reference value of blood flow resistance in a congestive state according to the blood flow resistance curve image; optionally, use the blood flow resistance at any moment in the resting state on the blood flow resistance curve image as the reference value of blood flow resistance in the resting state; or use the blood flow resistance at a time point before inducing a congestive state as the reference value of blood flow resistance in the resting state; or calculate an average value of multiple blood flow resistances as the reference value of blood flow resistance in the resting state; optionally, use the minimum blood flow resistance in the congestive state as the reference value of blood flow resistance in the congestive state.

[0270] S2104. Obtain a ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the hyperemic state.

[0271] The ratio in this embodiment can reflect the amount of blood supply reserve released by the blood supply network when the organ corresponding to the target peripheral arterial vessel changes from a resting state to a congested state, thereby evaluating the vascular distensibility and overall blood supply status retained by the organ.

[0272] Optionally, the method executed by the computer further includes:

[0273] According to the blood flow resistance curve image, the slope or curvature of the local blood flow resistance curve image between the time of inducing hyperemia and the time of minimum blood flow resistance value is obtained.

[0274] The slope or curvature can reflect the sensitivity of peripheral blood vessels to induced hyperemia and the speed of state change, thereby evaluating the peripheral vascular function.

[0275] Another embodiment of the present application provides a fourth peripheral vascular function index acquisition device, including the fourth computer-readable storage medium; the device also includes a processor; the processor is used to execute the computer program stored in the fourth computer-readable storage medium.

[0276] Optionally, the apparatus further includes a parameter acquisition device.

[0277] In an optional embodiment, the parameter acquisition device is used to collect the hemodynamic parameters of the target peripheral arterial vessel in the resting state and the congested state; and the parameter acquisition device is also used to send the hemodynamic parameters of the target peripheral arterial vessel in the resting state and the congested state to the processor; the hemodynamic parameters include blood pressure parameters and / or blood flow parameters.

[0278] In this embodiment, when the hemodynamic parameters collected by the parameter acquisition device include blood pressure parameters and blood flow parameters, the resting state and congestion state blood pressure parameters of the target peripheral arterial blood vessels received by the processor are measured and sent by the parameter acquisition device of the device; the resting state and congestion state blood flow parameters of the target peripheral arterial blood vessels received by the processor are measured and sent by the parameter acquisition device of the device.

[0279] When the hemodynamic parameters collected by the parameter acquisition device only include blood flow parameters, the resting and congested blood pressure parameters of the target peripheral arterial vessels received by the processor are measured and sent by devices other than the device; similarly, when the hemodynamic parameters collected by the parameter acquisition device only include blood pressure parameters, the resting and congested blood flow parameters of the target peripheral arterial vessels received by the processor are measured and sent by devices other than the device.

[0280] Optionally, the parameter acquisition device includes an ultrasound sticker; the ultrasound sticker is used to collect the hemodynamic parameters of the target peripheral arterial blood vessels in the resting state and the congested state.

[0281] The ultrasonic patch comprises:

[0282] The shell is configured to be fixed on the surface of the patient's skin;

[0283] An ultrasonic transducer array is disposed on the housing; the ultrasonic transducer array is used to transmit ultrasonic signals to the target peripheral arterial blood vessels and receive echo signals;

[0284] A processing device is arranged on the shell; the processing device is used to obtain the hemodynamic parameters of the peripheral arterial blood vessel according to the Doppler frequency shift in the echo signal.

[0285] The ultrasound patch can also be replaced by other technical equipment, and this application does not limit it. For example, the blood flow parameters are measured by angiography equipment, but it is limited to providing the blood flow velocity for a few seconds when the contrast agent flows through; for another example, the temperature dilution method is used to sense the cooling of saline through an interventional guidewire, and the flow velocity is inferred in reverse, but it is only the blood flow velocity for a few seconds when the saline is injected. The ultrasound patch can be worn on the human body and continuously records the changes of the human body from a resting state to an induced congestion state for several minutes, and the measurement data is more complete and comprehensive. Optionally, the ultrasound patch can also be used to collect the blood pressure parameters of the target peripheral arterial blood vessels in the resting state and the congestion state.

[0286] Alternatively, the parameter acquisition device includes an ultrasound patch and a pressure sensor. The ultrasound patch is used to acquire the blood flow parameters of the target peripheral artery in the resting state and the hyperemia state. The pressure sensor is used to acquire the blood pressure parameters of the target peripheral artery in the resting state and the hyperemia state; optionally, the pressure sensor measures the blood pressure by connecting to an interventional catheter placed in a blood vessel, or uses an inflatable cuff device placed on a limb to acquire blood pressure in vitro.

[0287] Optionally, the processor may be a module; or may include multiple modules, for example, one of the modules is integrated on the parameter acquisition device to perform data smoothing processing on multiple groups of real-time blood flow parameters.

[0288] Optionally, the device further includes a base; in a specific embodiment, the part evaluated by the device is the lower limb; the base is a strap, the computer-readable storage medium, the processor, and the parameter acquisition device are all fixed on the strap, and the strap is wrapped and fixed on the patient's lower limb so that the position of the ultrasound sticker is suitable for transmitting an ultrasonic signal to the popliteal artery. Compared with the myocardium and major organs, the skeletal muscles of the limbs have a particularly large blood supply reserve. The blood flow in the resting state and the congested state during extremely oxygen-consuming exercise can differ by 10 times. Using this blood supply reserve as an evaluation indicator for vascular disease has a higher evaluation sensitivity.

[0289] Optionally, the device also includes a display; the display is used to display parameters and graphs measured and calculated by the device.

[0290] It should be noted that, in the description of this specification, the terms "first", "second", etc. are only used for descriptive purposes and to distinguish similar objects. There is no order of precedence between the two, and they cannot be understood as indicating or implying relative importance. In addition, in the description of this specification, unless otherwise specified, the meaning of "plurality" is two or more.

[0291] The above embodiments are only for illustrating the technical concept and features of the present application, and their purpose is to enable people familiar with the technology to understand the content of the present application and implement it accordingly, and they cannot be used to limit the protection scope of the present application. Any equivalent changes or modifications made according to the spirit of the present application should be included in the protection scope of the present application.

[0292] It should be understood that the above description is for illustration and not for limitation. By reading the above description, many embodiments and many applications beyond the provided examples will be apparent to those skilled in the art. For comprehensive purposes, all articles and references, including the disclosures of patent applications and announcements, are incorporated herein by reference.

Claims

1. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to execute the following method: Receiving blood pressure parameters of the target peripheral arterial blood vessel in a resting state and a hyperemic state; Receiving blood flow parameters of a target peripheral arterial blood vessel in a resting state and a hyperemic state, wherein the blood flow parameters include a blood flow rate or a blood flow velocity; Acquire a resting blood flow resistance reference value according to the resting blood pressure parameter and the resting blood flow parameter; Acquiring a blood flow resistance reference value in a congestive state according to the blood pressure parameter in a congestive state and the blood flow parameter in a congestive state; The ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the hyperemic state is obtained.

2. The computer-readable storage medium of claim 1, wherein: The blood pressure parameters include multiple groups of real-time blood pressures recorded in time series; the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series; The step of obtaining a reference value of blood flow resistance at rest according to the blood pressure parameter at rest and the blood flow parameter at rest includes: Performing data smoothing processing on multiple groups of real-time blood pressures in a resting state; Performing data smoothing processing on multiple groups of the real-time blood flow parameters in the resting state; Acquiring a resting blood flow resistance reference value according to the multiple sets of resting real-time blood pressures and the multiple sets of resting real-time blood flow parameters after smoothing; The step of obtaining a blood flow resistance reference value in a congestive state according to the blood pressure parameter in a congestive state and the blood flow parameter in a congestive state includes: Performing data smoothing processing on the multiple groups of real-time blood pressures in the congestion state; Performing data smoothing processing on the multiple groups of real-time blood flow parameters in the hyperemia state; A blood flow resistance reference value in the congestive state is obtained according to the multiple sets of real-time blood pressures in the congestive state after smoothing and the multiple sets of real-time blood flow parameters in the congestive state after smoothing.

3. The computer-readable storage medium of claim 2, wherein: The step of obtaining a resting blood flow resistance reference value according to the multiple sets of resting real-time blood pressures and the multiple sets of resting real-time blood flow parameters after smoothing includes: Acquiring multiple sets of resting state real-time smoothed blood flow resistance according to the multiple sets of resting state real-time blood pressure after smoothing and the multiple sets of resting state real-time blood flow parameters after smoothing; Obtaining a resting blood flow resistance reference value according to multiple sets of resting real-time smoothed blood flow resistance; acquiring a blood flow resistance reference value in a congestive state according to the multiple sets of real-time blood pressures in a congestive state after smoothing and the multiple sets of real-time blood flow parameters in a congestive state after smoothing; include Acquire multiple sets of real-time smoothed blood flow resistances in the congestive state according to the multiple sets of real-time blood pressures in the congestive state after smoothing and the multiple sets of real-time blood flow parameters in the congestive state after smoothing; According to the multiple sets of real-time smoothed blood flow resistances in the hyperemia state, a blood flow resistance reference value in the hyperemia state is obtained.

4. The computer-readable storage medium of claim 3, wherein: The step of obtaining a blood flow resistance reference value in a congestive state according to the real-time smoothed blood flow resistance in a plurality of groups of congestive states includes: The minimum real-time smooth blood flow resistance in the hyperemia state is used as the blood flow resistance reference value in the hyperemia state.

5. The computer-readable storage medium of claim 2, wherein: The step of obtaining a resting blood flow resistance reference value according to the multiple sets of resting real-time blood pressures and the multiple sets of resting real-time blood flow parameters after smoothing. include Acquire a resting blood pressure reference value and a resting blood flow parameter reference value according to the multiple sets of resting real-time blood pressures and the multiple sets of resting real-time blood flow parameters after smoothing; Acquiring a resting blood flow resistance reference value according to the resting blood pressure reference value and the resting blood flow parameter reference value; acquiring a blood flow resistance reference value in a congestive state according to the multiple sets of real-time blood pressures in a congestive state after smoothing and the multiple sets of real-time blood flow parameters in a congestive state after smoothing; include Acquire a blood pressure reference value in a congestive state and a blood flow parameter reference value in a congestive state according to the multiple sets of real-time blood pressures in a congestive state after smoothing and the multiple sets of real-time blood flow parameters in a congestive state after smoothing; A blood flow resistance reference value in the congestive state is acquired according to the blood pressure reference value in the congestive state and the blood flow parameter reference value in the congestive state.

6. The computer-readable storage medium of claim 5, wherein: The step of obtaining a blood pressure reference value in a congestive state and a blood flow parameter reference value in a congestive state according to the multiple sets of real-time blood pressure in a congestive state after smoothing and the multiple sets of real-time blood flow parameters in a congestive state after smoothing includes: The lowest real-time smoothed blood pressure in the congestive state is used as a blood pressure reference value in the congestive state, and the real-time smoothed blood flow parameter in the congestive state recorded at the same time is used as a blood flow parameter reference value in the congestive state; or, The maximum real-time smoothed blood flow parameter in the congestive state is used as a blood flow parameter reference value in the congestive state, and the real-time smoothed blood pressure in the congestive state recorded at the same time is used as a blood pressure reference value in the congestive state.

7. The computer-readable storage medium according to any one of claims 2 to 6, wherein: The blood pressure parameters include multiple groups of real-time blood pressure recorded in time series during continuous time periods in the resting state and the hyperemic state; The step of performing data smoothing on the multiple groups of real-time blood pressures in the resting state and the step of performing data smoothing on the multiple groups of real-time blood pressures in the congestive state include: According to the multiple groups of real-time blood pressure recorded in time series during the continuous time periods of the resting state and the congested state, the real-time smoothed blood pressure P of the resting state and the congested state is obtained. s [n]; among them, N represents the number of times the real-time blood pressure is recorded within the first preset time period, n represents the recording sequence number of the real-time blood pressure, and P[nk] represents the real-time blood pressure of the (nk)th record.

8. The computer-readable storage medium of claim 7, wherein: The data smoothing process is performed on the multiple groups of real-time blood pressure in the resting state, and the data smoothing process is performed on the multiple groups of real-time blood pressure in the congestion state, and further includes According to the real-time smoothed blood pressure in the resting state and the hyperemic state, the real-time mean arterial pressure P′[n] in the resting state and the hyperemic state is obtained; wherein, P′[b]=αmax{P s [l]:nM <l≤m}+βmin{P s [l]:nM <l≤n} n and l represent the record serial number of the real-time blood pressure respectively; s [l] represents the real-time smoothed blood pressure of the lth record; α represents the systolic pressure coefficient, β represents the diastolic pressure coefficient; M represents the number of times the real-time blood pressure is recorded within the second preset time period, and the duration of the second preset time period is greater than one cardiac cycle.

9. The computer-readable storage medium of claim 8, wherein: The blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series during continuous time periods of resting state and hyperemia state; The data smoothing process is performed on the multiple groups of real-time blood flow parameters in the resting state, and the data smoothing process is performed on the multiple groups of real-time blood flow parameters in the hyperemia state, including: According to the multiple groups of real-time blood flow parameters recorded in time series during the continuous time periods of the resting state and the hyperemia state, the real-time smoothed blood flow parameters f′[m] of the resting state and the hyperemia state are obtained; wherein, Q represents the number of times the real-time blood flow parameter is recorded within the third preset time period, m represents the recording sequence number of the real-time blood flow parameter, and f[mk] represents the real-time blood flow parameter of the (mk)th record.

10. The computer-readable storage medium of claim 1, wherein: The blood pressure parameters include multiple groups of real-time blood pressures recorded in time series; the blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series; The step of obtaining a reference value of blood flow resistance at rest according to the blood pressure parameter at rest and the blood flow parameter at rest includes: Acquiring multiple sets of resting state real-time blood flow resistance according to multiple sets of resting state real-time blood pressure and multiple sets of resting state real-time blood flow parameters; Performing data smoothing processing on the multiple sets of resting-state real-time blood flow resistances to obtain multiple sets of resting-state real-time smoothed blood flow resistances; Obtaining a resting blood flow resistance reference value according to the multiple groups of real-time smoothed blood flow resistances at rest; The step of obtaining a blood flow resistance reference value in a congestive state according to the blood pressure parameter in a congestive state and the blood flow parameter in a congestive state includes: Acquire multiple sets of real-time blood flow resistances in the hyperemia state according to the multiple sets of real-time blood pressures in the hyperemia state and the multiple sets of real-time blood flow parameters in the hyperemia state; Performing data smoothing processing on the multiple sets of real-time blood flow resistances in the hyperemia state to obtain the multiple sets of real-time smoothed blood flow resistances in the hyperemia state; According to the multiple groups of real-time smoothed blood flow resistances in the congestive state, a blood flow resistance reference value in the congestive state is obtained.

11. A peripheral vascular function index acquisition device, characterized in that: A computer-readable storage medium comprising any one of claims 1 to 10; The device further includes a processor; the processor is configured to execute the computer program stored in the computer-readable storage medium.

12. The device according to claim 11, characterized in that: Also includes Parameter acquisition device; the parameter acquisition device is used to acquire the hemodynamic parameters of the target peripheral arterial blood vessels in the resting state and the congested state; and the parameter acquisition device is also used to send the hemodynamic parameters of the target peripheral arterial blood vessels in the resting state and the congested state to the processor; the hemodynamic parameters include blood pressure parameters and / or blood flow parameters.

13. The device according to claim 12, characterized in that: The parameter acquisition device includes an ultrasound patch; the ultrasound patch is used to acquire the hemodynamic parameters of the target peripheral arterial blood vessels in the resting state and the hyperemic state; The ultrasonic patch comprises The shell is configured to be fixed on the surface of the patient's skin; An ultrasonic transducer array is disposed on the housing; the ultrasonic transducer array is used to transmit ultrasonic signals to the target peripheral arterial blood vessels and receive echo signals; A processing device is arranged on the shell; the processing device is used to obtain the hemodynamic parameters of the peripheral arterial blood vessel according to the Doppler frequency shift in the echo signal.

14. The device according to claim 12, characterized in that: The parameter acquisition device includes an ultrasonic patch and a pressure sensor; the ultrasonic patch is used to acquire the blood flow parameters of the target peripheral artery in the resting state and the congested state; the pressure sensor is used to acquire the blood pressure parameters of the target peripheral artery in the resting state and the congested state; The ultrasonic patch comprises The shell is configured to be fixed on the surface of the patient's skin; An ultrasonic transducer array is disposed on the housing; the ultrasonic transducer array is used to transmit ultrasonic signals to the target peripheral arterial blood vessels and receive echo signals; A processing device is arranged on the shell; the processing device is used to obtain the hemodynamic parameters of the peripheral arterial blood vessel according to the Doppler frequency shift in the echo signal.

15. The device according to claim 12, characterized in that: It also includes a base; the computer-readable storage medium, the processor and the parameter acquisition device are all fixed on the patient's body through the base.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to execute the following method: Receiving blood flow resistance parameters of the target peripheral arterial blood vessel in a resting state and a congested state; According to the blood flow resistance parameter in the resting state, obtaining a reference value of the blood flow resistance in the resting state; Acquiring a blood flow resistance reference value in a congestive state according to the blood flow resistance parameter in a congestive state; The ratio of the blood flow resistance reference value in the resting state to the blood flow resistance reference value in the hyperemic state is obtained.

17. The computer-readable storage medium of claim 16, wherein: The blood flow resistance parameters include multiple groups of real-time smoothed blood flow resistances recorded in time series; The real-time smooth blood flow resistance is obtained by the following method Acquire multiple groups of real-time blood pressure and real-time blood flow parameters of the target peripheral artery recorded in time series; the real-time blood flow parameters include real-time blood flow volume or real-time blood flow velocity; Performing data smoothing processing on the multiple groups of real-time blood pressure and the multiple groups of real-time blood flow parameters respectively; Obtaining the real-time smoothed blood flow resistance according to the multiple sets of real-time blood pressures after smoothing and the multiple sets of real-time blood flow parameters after smoothing; or, The real-time smooth blood flow resistance is obtained by the following method Acquire multiple groups of real-time blood pressure and real-time blood flow parameters of the target peripheral artery recorded in time series; the real-time blood flow parameters include real-time blood flow volume or real-time blood flow velocity; Acquire multiple sets of real-time blood flow resistance according to the multiple sets of real-time blood pressure and the multiple sets of real-time blood flow parameters; Data smoothing is performed on a plurality of groups of the real-time blood flow resistances to obtain the real-time smoothed blood flow resistances.

18. The computer-readable storage medium of claim 16, wherein: The blood flow resistance parameters include multiple groups of real-time blood flow resistance recorded in time series; The real-time blood flow resistance is obtained by the following method Acquire multiple groups of real-time blood pressure and real-time blood flow parameters of the target peripheral artery recorded in time series; the real-time blood flow parameters include real-time blood flow volume or real-time blood flow velocity; Acquire multiple sets of real-time blood flow resistance according to the multiple sets of real-time blood pressure and the multiple sets of real-time blood flow parameters; The step of obtaining a reference value of the blood flow resistance at rest according to the blood flow resistance parameter at rest includes: Performing data smoothing on multiple groups of real-time blood flow resistances at rest to obtain real-time smoothed blood flow resistances at rest; According to the real-time smoothed blood flow resistance in the resting state, obtaining a reference value of the blood flow resistance in the resting state; The step of obtaining a blood flow resistance reference value in a congestive state according to the blood flow resistance parameter in a congestive state includes: Performing data smoothing on multiple groups of real-time blood flow resistances in the congestion state to obtain real-time smoothed blood flow resistances in the congestion state; According to the real-time smoothed blood flow resistance in the hyperemia state, a blood flow resistance reference value in the hyperemia state is obtained.

19. A peripheral vascular function index acquisition device, characterized in that: comprising a computer-readable storage medium as claimed in any one of claims 16 to 18; The device further includes a processor; the processor is configured to execute the computer program stored in the computer-readable storage medium.

20. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to execute the following method: Receiving blood flow parameters of a target peripheral arterial blood vessel in a resting state and a hyperemic state, wherein the blood flow parameters include a blood flow rate or a blood flow velocity; According to the blood flow parameters in the resting state and the hyperemia state, obtaining a reference value of the blood flow parameter in the resting state and a reference value of the blood flow parameter in the hyperemia state; The ratio of the blood flow parameter reference value in the resting state to the blood flow parameter reference value in the hyperemic state is obtained.

21. The computer-readable storage medium of claim 20, wherein: The blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series; The step of obtaining a reference value of a blood flow parameter in a resting state and a reference value of a blood flow parameter in a congested state according to the blood flow parameters in a resting state and a congested state comprises: Performing data smoothing processing on multiple sets of resting-state real-time blood flow parameters to obtain multiple sets of resting-state real-time smoothed blood flow parameters; obtaining resting-state blood flow parameter reference values ​​according to the multiple sets of resting-state real-time smoothed blood flow parameters; Perform data smoothing processing on the multiple sets of real-time blood flow parameters in the congestive state to obtain multiple sets of real-time smoothed blood flow parameters in the congestive state; obtain reference values ​​of blood flow parameters in the congestive state based on the multiple sets of real-time smoothed blood flow parameters in the congestive state.

22. The computer-readable storage medium of claim 21, wherein: The step of obtaining a reference value of a blood flow parameter in a congestive state according to the multiple sets of real-time smoothed blood flow parameters in a congestive state includes: The maximum real-time smoothed blood flow parameter in the hyperemia state is used as a reference value of the blood flow parameter in the hyperemia state.

23. The computer-readable storage medium of claim 21, wherein: The blood flow parameters include multiple groups of real-time blood flow parameters recorded in time series during continuous time periods of resting state and hyperemia state; The data smoothing process is performed on the multiple groups of real-time blood flow parameters in the resting state, and the data smoothing process is performed on the multiple groups of real-time blood flow parameters in the hyperemia state, including: According to the multiple groups of real-time blood flow parameters recorded in time series during the continuous time periods of the resting state and the hyperemia state, the real-time smoothed blood flow parameters f′[m] of the resting state and the hyperemia state are obtained; wherein, Q represents the number of times the real-time blood flow parameter is recorded within the third preset time period, m represents the recording sequence number of the real-time blood flow parameter, and f[mk] represents the real-time blood flow parameter of the (mk)th record.

24. A peripheral vascular function index acquisition device, characterized in that: A computer-readable storage medium comprising any one of claims 20 to 23; The device further includes a processor; the processor is configured to execute the computer program stored in the computer-readable storage medium.

25. The device according to claim 24, characterized in that: Also includes Parameter acquisition device; the parameter acquisition device is used to acquire the blood flow parameters of the target peripheral arterial blood vessel in the resting state and the congested state; and the parameter acquisition device is also used to send the blood flow parameters of the target peripheral arterial blood vessel in the resting state and the congested state to the processor.

26. The device according to claim 25, characterized in that: The parameter acquisition device includes an ultrasound patch; the ultrasound patch is used to acquire the blood flow parameters of the target peripheral arterial blood vessels in the resting state and the congested state; The ultrasonic patch comprises The shell is configured to be fixed on the surface of the patient's skin; An ultrasonic transducer array is disposed on the housing; the ultrasonic transducer array is used to transmit ultrasonic signals to the target peripheral arterial blood vessels and receive echo signals; A processing device is arranged on the housing; the processing device is used to obtain the blood flow parameter of the peripheral arterial blood vessel according to the Doppler frequency shift in the echo signal.

27. The device according to claim 26, characterized in that: It also includes a base; the computer-readable storage medium, the processor and the parameter acquisition device are all fixed on the patient's body through the base.

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