CN111228004B - Internal leakage monitoring device and method based on intelligent abdominal aorta vascular stent - Google Patents

Internal leakage monitoring device and method based on intelligent abdominal aorta vascular stent Download PDF

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CN111228004B
CN111228004B CN202010033958.6A CN202010033958A CN111228004B CN 111228004 B CN111228004 B CN 111228004B CN 202010033958 A CN202010033958 A CN 202010033958A CN 111228004 B CN111228004 B CN 111228004B
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blood vessel
time
pressure
detection device
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CN111228004A (en
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任勇
王景璟
马骏
张明
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Institute For Electronics And Information Technology In Tianjin Tsinghua University
Tsinghua University
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Institute For Electronics And Information Technology In Tianjin Tsinghua University
Tsinghua University
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
    • A61F2/82—Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
    • A61F2/86—Stents in a form characterised by the wire-like elements; Stents in the form characterised by a net-like or mesh-like structure
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
    • A61B5/02014—Determining aneurysm
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/02028—Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/026—Measuring blood flow

Abstract

The invention provides an endoleak monitoring device and method based on an intelligent abdominal aorta vascular stent, wherein the device comprises a first vascular state detection device, a second vascular state detection device, a third vascular state detection device and an external data processing device; the first blood vessel state detection means, the second blood vessel state detection means, and the third blood vessel state detection means are provided in the abdominal aorta; the blood vessel state detection device includes: the device comprises a sensor group, an inner processor, an energy supply device and a radio frequency emission module; the external data processing device comprises a radio frequency receiving module, a memory and a data processor; the radio frequency receiving module is used for receiving the electric signal from the radio frequency transmitting module, the memory is used for storing the electric signal, and the data processor periodically retrieves the electric signal from the memory.

Description

Internal leakage monitoring device and method based on intelligent abdominal aorta vascular stent
Technical Field
The invention relates to the technical field of medical detection, in particular to an endoleak monitoring device and method based on an intelligent abdominal aorta stent.
Background
With the aging of population and the increase of dangerous factors such as hypertension, arteriosclerosis and the like, the incidence rate of abdominal aortic aneurysm in China is in a remarkable rising trend, and the incidence rate of abdominal aortic aneurysm of the old aged over 65 years old reaches 8.8%. Studies have shown that 20 to 40 out of every 10 million people develop abdominal aortic aneurysms each year. Abnormally dilated abdominal aorta is called abdominal aortic aneurysm, which is not a true tumor but is also very harmful to the human body, and the rupture of the tumor body can lead to death. The formation of abdominal aortic aneurysms is a progressive process in which genetic, environmental and biochemical factors interact and interact, for example, to alter the metabolism of the elastic connective tissue of the abdominal aortic wall to promote the formation of abdominal aortic aneurysms.
Intervention is currently the most prominent surgical modality for abdominal aortic aneurysms. This procedure requires only the introduction of the stent into the aorta via the femoral artery and its release from the catheter, thus preventing the aneurysm from rupturing. The detection of abdominal aortic aneurysms is important because of their risk. Currently, the examination method of abdominal aortic aneurysm mainly includes abdominal X-ray film, color doppler ultrasound, CTA, and MRI. These methods require the use of larger equipment for auxiliary testing and can only be performed in hospitals. Meanwhile, detection by the methods can cause severe radiation to human bodies. To this end, the present invention provides an endoleak monitoring device and method based on an intelligent abdominal aortic stent to at least partially solve the above problems.
Disclosure of Invention
In this summary, concepts in a simplified form are introduced that are further described in the detailed description section. This summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
In order to overcome the problems in the prior art, the invention provides an endoleak monitoring device based on an intelligent abdominal aorta vascular stent, which comprises a first vascular state detection device, a second vascular state detection device, a third vascular state detection device and an external data processing device; the first blood vessel state detection means, the second blood vessel state detection means, and the third blood vessel state detection means are provided in the abdominal aorta;
the blood vessel state detection device includes: the device comprises a sensor group, an inner processor, an energy supply device and a radio frequency emission module; the external data processing device comprises a radio frequency receiving module, a memory and a data processor; the radio frequency receiving module is used for receiving the electric signal from the radio frequency transmitting module, the memory is used for storing the electric signal, and the data processor periodically calls the electric signal from the memory;
the memory comprises a blood vessel section state standard index M0 and a blood vessel transverse state standard index N0; the data processor compares the real-time state index M1 of the first blood vessel state detection device, the real-time state index M2 of the second blood vessel state detection device and the real-time state index M3 of the third blood vessel state detection device with the blood vessel section state standard index M0 respectively, and if the real-time state index which is greater than the liquid section state standard index M0 exists, the arterial blood vessel has the inner leakage risk;
and the data processor compares the total vessel transverse real-time state index N with a vessel transverse state standard index N0, and if the total vessel transverse real-time state index N is greater than the vessel transverse state standard index N0, the arterial vessel is indicated to have an inner leakage phenomenon.
Further, the energy supply device supplies electric energy to the sensor group and the inner processor respectively, the sensor group transmits detected electric signals to the inner processor, the inner processor converts blood flow velocity signals and blood vessel pressure signals into digital signals and loads information such as integrated circuit ID, time stamp and the like, and the inner processor transmits the digital signals to the external processing device through the radio frequency transmission module.
Further, the blood vessel state detection device also comprises an abdominal aorta stent shell, and the sensor group comprises a flow rate sensor group and a pressure sensor group; the pressure sensor group comprises a first pressure sensor, a second pressure sensor, a third pressure sensor and a fourth pressure sensor, and the flow rate sensor group comprises a first flow rate sensor, a second flow rate sensor, a third flow rate sensor and a fourth flow rate sensor.
Further, the first pressure sensor, the second pressure sensor, the third pressure sensor, and the fourth pressure sensor are disposed on an inner wall of the abdominal aortic stent housing;
the first, second, third and fourth flow rate sensors are disposed on an inner wall of the abdominal aortic stent housing.
Further, the radio frequency receiving device receives the digital signal from the radio frequency transmitting device, and a blood vessel pressure matrix F (P) and a blood flow velocity matrix V (v) are arranged in the memory.
Further, the vascular pressure function is Fn(P1 ', P2', P3 ', P4'); p1' is the real-time pressure detected by the first pressure sensor; p2' is the real-time pressure detected by the second pressure sensor; p3' is the real-time pressure detected by the third pressure sensor; p4' is the real-time pressure detected by the fourth pressure sensor; function of blood flow velocity of Vn(v1 ', v2 ', v3 ', v4 '), v1 ' is the real-time flow rate detected by the first flow rate sensor; v 2' is the real-time flow rate detected by the second flow sensor; v 3' is the real-time flow rate detected by the third flow rate sensor; v 4' is the real-time flow rate detected by the fourth flow rate sensor.
Further, the memory comprises a blood vessel state matrix G corresponding to the first blood vessel state detection device1{F(Pn)，V(vn) }; a blood vessel state matrix G corresponding to the second blood vessel state detection device2{F(Pn)，V(vn) }; a blood vessel state matrix G corresponding to the third blood vessel state detection device3{F(Pn)，V(vn) }; wherein n is a number, F (P)n) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix.
Further, the evaluation formula of the section state of the blood vessel is as follows
Figure BDA0002365355480000041
Wherein M is the blood vessel section real-time state index, F (P)n) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix; the data processor calculates the real-time state index of each blood vessel state detection device, thereby obtaining the real-time state index M1 of the first blood vessel state detection device, the real-time state index M2 of the second blood vessel state detection device and the real-time state index M2 of the third blood vessel state detection deviceReal-time status index M3.
Further, the vessel transverse state formula:
Figure BDA0002365355480000042
in the formula, N1Is a vessel transverse real-time state index, N, of the first vessel state detection device2Is the vessel transverse real-time state index, N, of the second vessel state detection device3Is the vessel transverse real-time state index, F (P), of the third vessel state detection devicen) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix; the memory records a standard blood flow velocity interval { v ] detected for the first time after the blood vessel state detection device is installed0-Δv，v0+ Δ v }; in the formula, v0Δ v is the allowable flow rate fluctuation value for the desired standard flow rate; the memory records a standard vascular pressure interval { P detected for the first time after the vascular condition detection device is installed0-ΔP，P0+ Δ P }; in the formula, P0Δ P is the allowable pressure fluctuation value for the desired standard pressure; the data processor periodically detects whether the real-time pressure P1 'detected by the first pressure sensor, the real-time pressure P2' detected by the second pressure sensor, the real-time pressure P3 'detected by the third pressure sensor, and the real-time pressure P4' detected by the fourth pressure sensor are in a standard vascular pressure interval { P0-ΔP，P0+ Δ P }; if the real-time pressure with the number y is not in the standard vascular pressure interval { P0-ΔP，P0Within + Δ P }, the data processor calculates a total vessel transverse real-time state index N, as follows:
N＝N1+N2+N3(ii) a Wherein the content of the first and second substances,
Figure BDA0002365355480000051
the invention also provides an endoleak monitoring method based on the intelligent abdominal aorta vascular stent, which comprises the following steps:
first blood state detection device and second blood state detection deviceThe pressure sensor groups of the measuring device and the third blood condition detecting device detect the pressure data in the respective devices to form a blood pressure function Fn(P1’，P2’，P3’，P4’)；
The flow rate sensor groups of the first, second and third blood condition detection devices detect flow rate data in the respective devices to form a blood flow rate function Vn(v1’，v2’，v3’，v4’)；
The memory establishes a blood vessel state matrix G respectively corresponding to the first blood vessel state detection device, the second blood vessel state detection device and the third blood vessel state detection device;
establishing a blood vessel section state evaluation formula and a blood vessel transverse state formula for each blood vessel state matrix G;
the memory comprises a blood vessel section state standard index M0 and a blood vessel transverse state standard index N0; the data processor compares the real-time state index M1 of the first blood vessel state detection device, the real-time state index M2 of the second blood vessel state detection device and the real-time state index M3 of the third blood vessel state detection device with the blood vessel section state standard index M0 respectively, and if the real-time state index greater than the blood vessel section state standard index M0 exists, the arterial blood vessel has the inner leakage risk;
and the data processor compares the total vessel transverse real-time state index N with a vessel transverse state standard index N0, and if the total vessel transverse real-time state index N is greater than the vessel transverse state standard index N0, the arterial vessel is indicated to have an inner leakage phenomenon.
Compared with the prior art, the invention has the following advantages:
the internal leakage monitoring device based on the intelligent abdominal aorta vascular stent has the advantages of good monitoring effect, low cost and no radiation.
Further, the present invention is provided with three blood condition detecting means, and the pressure sensor group of the first blood condition detecting means, the second blood condition detecting means and the third blood condition detecting means detects each of the meansTo form a blood pressure function of Fn(P1 ', P2', P3 ', P4'); the flow rate sensor groups of the first, second and third blood condition detection devices detect flow rate data in the respective devices to form a blood flow rate function Vn(v1 ', v 2', v3 ', v 4'); the memory establishes a blood vessel state matrix G respectively corresponding to the first blood vessel state detection device, the second blood vessel state detection device and the third blood vessel state detection device; and establishing a blood vessel section state evaluation formula and a blood vessel transverse state formula for each blood vessel state matrix G.
Further, if an abdominal aortic aneurysm develops on the abdominal aorta, as the aneurysm increases, it affects both the pressure and the blood flow rate on the nearby blood vessels; the blood vessel section state standard index M0 is arranged, and the data processor compares the real-time state index M1 of the first blood vessel state detection device, the real-time state index M2 of the second blood vessel state detection device and the real-time state index M3 of the third blood vessel state detection device with the blood vessel section state standard index M0 respectively so as to monitor the increase condition of the aneurysm in real time.
Further, if the abdominal aortic aneurysm ruptures, it may cause effects such as a decrease in pressure on nearby blood vessels and an increase in blood flow rate; the invention is provided with a blood vessel transverse state standard index N0; the data processor of the present invention compares the overall transverse real-time status index N of the blood vessel with the standard transverse status index N0 to monitor the status of the aneurysm in real time.
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In order that the advantages of the invention will be readily understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered to be limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.
Fig. 1 is a schematic structural diagram of an embodiment of an internal leakage monitoring device of an intelligent abdominal aortic stent according to the present invention;
FIG. 2 is a schematic diagram of the sensor arrangement of the internal leakage monitoring device of the intelligent abdominal aorta stent of the invention;
fig. 3 is a schematic structural diagram of an embodiment of the arterial stent according to the invention.
Description of reference numerals:
1. an abdominal aortic stent housing; 21. a first pressure sensor; 22. a second pressure sensor; 23. a third pressure sensor; 24. a fourth pressure sensor; 31. a first flow rate sensor; 32. a second flow rate sensor; 33. a third flow rate sensor; 34. a fourth flow rate sensor; 4. a lateral support structure; 5. a longitudinal support structure.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that embodiments of the invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in detail so as not to obscure the embodiments of the invention.
In the following description, a detailed structure will be presented for a thorough understanding of embodiments of the invention. It is apparent that the implementation of the embodiments of the present invention is not limited to the specific details familiar to those skilled in the art. The following detailed description of preferred embodiments of the invention, however, the invention is capable of other embodiments in addition to those detailed.
In the description of the present invention, the terms "inside", "outside", "longitudinal", "transverse", "upper", "lower", "top", "bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are for convenience only to describe the present invention without requiring the present invention to be necessarily constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, the present invention provides an endoleak monitoring device and method based on an intelligent abdominal aorta vascular stent, wherein the intelligent device comprises a first vascular status detection device, a second vascular status detection device, a third vascular status detection device and an external data processing device. The blood vessel state detection device includes: the device comprises a sensor group, an inner processor, an energy supply device and a radio frequency emission module; in the invention, the three blood vessel state detection devices comprise a first radio frequency transmission module, a second radio frequency transmission module and a third radio frequency transmission module; the external data processing device comprises a radio frequency receiving module, a memory and a data processor; the radio frequency receiving module is used for receiving electric signals from the first radio frequency transmitting module, the second radio frequency transmitting module and the third radio frequency transmitting module, the memory is used for storing the electric signals, and the data processor periodically retrieves the electric signals from the memory and carries out blood flow speed state analysis according to the electric signals.
The blood vessel state detection device also comprises an abdominal aorta stent shell 1, and the sensor group comprises a flow velocity sensor group and a pressure sensor group; in the embodiment illustrated in fig. 2, the pressure sensor group comprises a first pressure sensor 21, a second pressure sensor 22, a third pressure sensor 23 and a fourth pressure sensor 24, the first pressure sensor 21, the second pressure sensor 22, the third pressure sensor 23 and the fourth pressure sensor 24 are arranged on the inner wall of the abdominal aorta stent housing 1; the flow velocity sensor group comprises a first flow velocity sensor 31, a second flow velocity sensor 32, a third flow velocity sensor 33 and a fourth flow velocity sensor 34, and the first flow velocity sensor 31, the second flow velocity sensor 32, the third flow velocity sensor 33 and the fourth flow velocity sensor 34 are arranged on the inner wall of the abdominal aorta stent housing 1.
In some embodiments of the present invention, orthographic projections of the first pressure sensor 21, the second pressure sensor 22, the third pressure sensor 23 and the fourth pressure sensor 24 on a plane perpendicular to the axial direction of the abdominal aortic stent housing 1 are evenly distributed along the inner wall of the abdominal aortic stent housing 1 at intervals in the circumferential direction; orthographic projections of the first flow velocity sensor 31, the second flow velocity sensor 32, the third flow velocity sensor 33 and the fourth flow velocity sensor 34 on a plane perpendicular to the axial direction of the abdominal aorta stent shell 1 are evenly distributed along the inner wall of the abdominal aorta stent shell 1 at intervals in the circumferential direction.
In the blood vessel state detection device, the energy supply device supplies electric energy to the sensor group and the inner processor respectively, the sensor group transmits detected electric signals to the inner processor, the inner processor converts blood flow velocity signals and blood vessel pressure signals into digital signals, information such as integrated circuit ID and time stamp is loaded, and the digital signals are transmitted to the external processing device through the radio frequency transmission module. In some embodiments of the present invention, the energy supply device is a micro battery, and the energy supply device directly supplies electric energy to the sensor group and the inner processor; the energy supply device can also receive electromagnetic waves radiated into the body by an external processing device and supply electric energy for the sensor group and the inner processor by means of wireless radio frequency energy collection.
As shown in fig. 3, in some embodiments of the invention, the abdominal aortic stent comprises more than two lateral support structures 4 and a plurality of longitudinal support structures 5, each lateral support structure 4 being formed as a loop-shaped stent by bending a wire; two adjacent annular supports are fixedly connected through a plurality of longitudinal supporting structures 5 which are arranged in a staggered mode, so that the supports are unfolded to form a net-shaped structure. The annular support can adopt a sine wave structure or a sawtooth wave structure. Wherein, the other end at every section support is provided with insulating material respectively, fixes the steadiness of this section of support structure through insulating material.
The radio frequency receiving device receives the digital signal from the radio frequency transmitting device, and a blood vessel pressure matrix F (P) and a blood flow velocity matrix V (v) are arranged in the memory.
Specifically, the vascular pressure matrix is F (P1 ', P2', P3 ', P4'); p1' is the real-time pressure detected by the first pressure sensor 21; p2' is the real-time pressure detected by second pressure sensor 22; p3' is the real-time pressure detected by the third pressure sensor 23; p4' is the real-time pressure detected by the fourth pressure sensor 24; the blood flow velocity matrix is V (V1 ', V2 ', V3 ', V4 '), and V1 ' is the real-time flow velocity detected by the first flow velocity sensor 31; v 2' is the real-time flow rate detected by the second flow sensor 32; v 3' is the real-time flow rate detected by the third flow sensor 33; v 4' is the real-time flow rate detected by fourth flow sensor 34.
The memory comprises a blood vessel state matrix G corresponding to the first blood vessel state detection device1{F(Pn)，V(vn) }; blood vessel state matrix G corresponding to second blood vessel state detection device2{F(Pn)，V(vn) }; blood vessel state matrix G corresponding to third blood vessel state detection device3{F(Pn)，V(vn) }; wherein n is a number, F (P)n) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix.
Specifically, the memory also comprises a blood vessel section state standard index M0; the evaluation formula of the blood vessel section state is
Figure BDA0002365355480000111
Wherein M is the blood vessel section real-time state index, F (P)n) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix. The data processor calculates the real-time state indexes of the blood vessel state detection devices, so as to obtain a real-time state index M1 of the first blood vessel state detection device, a real-time state index M2 of the second blood vessel state detection device and a real-time state index M3 of the third blood vessel state detection device; the data processor compares the real-time state index M1 of the first blood vessel state detection device, the real-time state index M2 of the second blood vessel state detection device and the real-time state index M3 of the third blood vessel state detection device with the blood vessel section state standard index M0 respectively, and if the real-time state index is larger than the blood vessel section state standard index M0, the arterial blood vessel has the inner leakage risk.
Specifically, the memory further includes a vessel transverse state standard index N0, a vessel transverse state formula:
Figure BDA0002365355480000112
in the formula, N1Is a vessel transverse real-time state index, N, of the first vessel state detection device2Is a vessel transverse real-time state index, N, of the second vessel state detection device3The vessel transverse real-time state of the third vessel state detection device isNumber, F (P)n) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix.
The memory records the standard blood flow speed interval (v) detected for the first time after the blood vessel state detection device is installed0-Δv，v0+ Δ v }; in the formula, v0Δ v is the allowable flow rate fluctuation value for the desired standard flow rate; similarly, the memory records the standard vascular pressure interval { P ] detected for the first time after the vascular condition detection device is installed0-ΔP，P0+ Δ P }; in the formula, P0Δ P is the allowable pressure fluctuation value for the desired standard pressure. For each blood vessel detecting device, the data processor periodically detects whether the real-time pressure P1 'detected by the first pressure sensor, the real-time pressure P2' detected by the second pressure sensor, the real-time pressure P3 'detected by the third pressure sensor and the real-time pressure P4' detected by the fourth pressure sensor are in the standard blood vessel pressure interval { P0-ΔP，P0+ Δ P }; if the real-time pressure with the number y is not in the standard vascular pressure interval { P0-ΔP，P0Within + Δ P }, the data processor calculates the total vessel transverse real-time state index N, as follows:
N＝N1+N2+N3(ii) a Wherein the content of the first and second substances,
Figure BDA0002365355480000121
the data processor compares the total vessel transverse real-time state index N with a vessel transverse state standard index N0, and if the total vessel transverse real-time state index N is greater than the vessel transverse state standard index N0, the arterial vessel is indicated to have an inner leakage phenomenon.
Unless defined otherwise, technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Terms such as "component" and the like, when used herein, can refer to either a single part or a combination of parts. Terms such as "mounted," "disposed," and the like, as used herein, may refer to one component as being directly attached to another component or one component as being attached to another component through intervening components. Features described herein in one embodiment may be applied to another embodiment, either alone or in combination with other features, unless the feature is otherwise inapplicable or otherwise stated in the other embodiment.
The present invention has been described in terms of the above embodiments, but it should be understood that the above embodiments are for purposes of illustration and description only and are not intended to limit the invention to the scope of the described embodiments. It will be appreciated by those skilled in the art that many variations and modifications may be made to the teachings of the invention, which fall within the scope of the invention as claimed.

Claims (8)

1. An endoleak monitoring device based on an intelligent abdominal aorta vascular stent is characterized by comprising a first vascular state detection device, a second vascular state detection device, a third vascular state detection device and an external data processing device; the first blood vessel state detection means, the second blood vessel state detection means, and the third blood vessel state detection means are provided in the abdominal aorta;
the blood vessel state detection device includes: the device comprises a sensor group, an inner processor, an energy supply device and a radio frequency emission module; the external data processing device comprises a radio frequency receiving module, a memory and a data processor; the radio frequency receiving module is used for receiving the electric signal from the radio frequency transmitting module, the memory is used for storing the electric signal, and the data processor periodically calls the electric signal from the memory;
the memory comprises a blood vessel section state standard index M0 and a blood vessel transverse state standard index N0; the data processor compares the real-time state index M1 of the first blood vessel state detection device, the real-time state index M2 of the second blood vessel state detection device and the real-time state index M3 of the third blood vessel state detection device with a blood vessel section state standard index M0 respectively, and if the real-time state index which is greater than the blood vessel section state standard index M0 exists, the abdominal aorta blood vessel has the inner leakage risk;
the data processor compares the total vessel transverse real-time state index N with a vessel transverse state standard index N0, and if the total vessel transverse real-time state index N is greater than the vessel transverse state standard index N0, the internal leakage phenomenon of the abdominal aorta vessel is indicated;
the data processor calculates the real-time state index of each blood vessel state detection device, so as to obtain the real-time state index M1 of the first blood vessel state detection device, the real-time state index M2 of the second blood vessel state detection device and the real-time state index M3 of the third blood vessel state detection device;
the evaluation formula of the blood vessel section state is
Figure FDA0003069602650000021
Wherein M is the blood vessel section real-time state index, F (P)n) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix;
the transverse state of the blood vessel is expressed as
Figure FDA0003069602650000022
In the formula, N1Is a vessel transverse real-time state index, N, of the first vessel state detection device2Is the vessel transverse real-time state index, N, of the second vessel state detection device3Is the vessel transverse real-time state index, F (P), of the third vessel state detection devicen) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix; wherein N is N1+N2+N3。
2. The intelligent abdominal aortic stent based endoleak monitoring device according to claim 1, wherein the energy supply device supplies electric energy to the sensor group and the inner processor respectively, the sensor group transmits the detected electric signals to the inner processor, the inner processor converts the blood flow velocity signal and the blood vessel pressure signal into digital signals and loads integrated circuit ID and time stamp information, and the inner processor transmits the digital signals to the external data processing device through the radio frequency transmission module.
3. The intelligent abdominal aortic stent based endoleak monitoring device according to claim 1, wherein the vascular condition detection device further comprises an abdominal aortic stent housing, the sensor group comprising a flow rate sensor group and a pressure sensor group; the pressure sensor group comprises a first pressure sensor, a second pressure sensor, a third pressure sensor and a fourth pressure sensor, and the flow rate sensor group comprises a first flow rate sensor, a second flow rate sensor, a third flow rate sensor and a fourth flow rate sensor.
4. The intelligent abdominal aortic stent based endoleak monitoring device according to claim 3, wherein the first pressure sensor, the second pressure sensor, the third pressure sensor and the fourth pressure sensor are disposed on an inner wall of the abdominal aortic stent housing;
the first, second, third and fourth flow rate sensors are disposed on an inner wall of the abdominal aortic stent housing.
5. The intelligent abdominal aorta stent based endoleak monitoring device according to claim 4, wherein the RF receiving module receives the digital signal from the RF transmitting module, and a blood vessel pressure matrix F (P) and a blood flow rate matrix V (v) are provided in a memory.
6. The endoleak monitoring device based on intelligent abdominal aortic stent according to claim 5, wherein the blood vessel pressure matrix is Fn(P1 ', P2', P3 ', P4'); p1' is the real-time pressure detected by the first pressure sensor; p2' is the real-time pressure detected by the second pressure sensor; p3' isThe real-time pressure detected by the third pressure sensor; p4' is the real-time pressure detected by the fourth pressure sensor; the blood flow velocity matrix is Vn(v1 ', v2 ', v3 ', v4 '), v1 ' is the real-time flow rate detected by the first flow rate sensor; v 2' is the real-time flow rate detected by the second flow sensor; v 3' is the real-time flow rate detected by the third flow rate sensor; v 4' is the real-time flow rate detected by the fourth flow rate sensor.
7. The intelligent abdominal aortic stent based endoleak monitoring device according to claim 6, wherein the memory comprises the vascular state matrix G corresponding to the first vascular state detection device1{F(Pn)，V(vn) }; a blood vessel state matrix G corresponding to the second blood vessel state detection device2{F(Pn)，V(vn) }; a blood vessel state matrix G corresponding to the third blood vessel state detection device3{F(Pn)，V(vn) }; wherein n is a number, F (P)n) Is a vascular pressure matrix, V (V)n) Is a blood flow velocity matrix.
8. The intelligent abdominal aorta stent based endoleak monitoring device according to claim 7, wherein the memory records a standard blood flow rate interval { v ] detected for the first time after the blood vessel state detection device is installed0-Δv，v0+ Δ v }; in the formula, v0Δ v is the allowable flow rate fluctuation value for the desired standard flow rate; the memory records a standard vascular pressure interval { P detected for the first time after the vascular condition detection device is installed0-ΔP，P0+ Δ P }; in the formula, P0Δ P is the allowable pressure fluctuation value for the desired standard pressure; the data processor periodically detects whether the real-time pressure P1 'detected by the first pressure sensor, the real-time pressure P2' detected by the second pressure sensor, the real-time pressure P3 'detected by the third pressure sensor, and the real-time pressure P4' detected by the fourth pressure sensor are in standard bloodPipe pressure interval { P0-ΔP，P0+ Δ P }; if the real-time pressure with the number y is not in the standard vascular pressure interval { P0-ΔP，P0+ ap, the data processor calculates a total vessel transverse real-time status index N, wherein,
Figure FDA0003069602650000041
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