CN111450338B - Multistage magnetic transmission type mechanical auxiliary circulation optimization system - Google Patents

Multistage magnetic transmission type mechanical auxiliary circulation optimization system Download PDF

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CN111450338B
CN111450338B CN202010283342.4A CN202010283342A CN111450338B CN 111450338 B CN111450338 B CN 111450338B CN 202010283342 A CN202010283342 A CN 202010283342A CN 111450338 B CN111450338 B CN 111450338B
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CN111450338A (en
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高斌
张万松
李仁鑫
符珉瑞
常宇
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Beijing University of Technology
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M60/00—Blood pumps; Devices for mechanical circulatory actuation; Balloon pumps for circulatory assistance
    • A61M60/10—Location thereof with respect to the patient's body
    • A61M60/122—Implantable pumps or pumping devices, i.e. the blood being pumped inside the patient's body
    • A61M60/126—Implantable pumps or pumping devices, i.e. the blood being pumped inside the patient's body implantable via, into, inside, in line, branching on, or around a blood vessel
    • A61M60/135—Implantable pumps or pumping devices, i.e. the blood being pumped inside the patient's body implantable via, into, inside, in line, branching on, or around a blood vessel inside a blood vessel, e.g. using grafting
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    • 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
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    • A61B5/02225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers using the oscillometric method
    • A—HUMAN NECESSITIES
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    • 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
    • A61B5/029—Measuring or recording blood output from the heart, e.g. minute volume
    • A—HUMAN NECESSITIES
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    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M60/00—Blood pumps; Devices for mechanical circulatory actuation; Balloon pumps for circulatory assistance
    • A61M60/50—Details relating to control
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
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Abstract

A multistage magnetic transmission type mechanical auxiliary circulation optimization system belongs to the field of biomedical engineering. The system comprises a detection module, a decision module and an evaluation module; leading in an MRI scanning image in the detection module to obtain corresponding segmented images of the heart aorta, the chest ribs and the body surface, sending the segmented images and the measured heart discharge capacity and blood pressure to the decision module, and sending a blood pressure waveform to the evaluation module; the decision module calculates the sizes of all stages of devices of the multistage magnetic transmission mechanical auxiliary circulating device through a system based on a multi-objective optimization algorithm; and the evaluation module calculates the evaluation value of the multistage magnetic transmission device by using the quantized numerical value based on a weighted average algorithm. Has high stability and portability.

Description

Multistage magnetic transmission type mechanical auxiliary circulation optimization system
Technical Field
The invention belongs to the field of biomedical engineering, and relates to a multistage magnetic transmission type mechanical auxiliary circulation optimization system, which is used for optimizing a multistage magnetic transmission mechanical auxiliary circulation device and has reliability and universality.
Background
The mechanical auxiliary circulation device is an effective solution for patients with heart and kidney failure, and the artificial heart is one of mechanical auxiliary circulation. The conventional integrated artificial heart has the defect of easy infection due to a percutaneous lead. An artificial heart in-vitro magnetic driving system, patent 99126258.1 and patent 200910089092.4, are designed in an in-vitro life support laboratory of Beijing university of industry by adopting a magnetic coupling principle, and a two-stage transmission device designed in the two patents can improve the transmission efficiency of torque. However, according to the anatomical structure based on the human body, the rotating axis of the artificial heart implanted into the human body is not parallel to the rotating axis of the Driving device placed on the body surface, but has an included angle of 30 to 60 degrees, the multi-stage magnetic Transmission mechanical auxiliary circulation device is positioned in the human body as shown in fig. 1, the artificial Blood pump (Blood pump) (B) is placed in the Aorta cardia (Aorta) (A), the two-stage Transmission device (Transmission Machine) (T) is placed between the 3 rd to 4 th ribs of the thoracic cavity of the human body, and the one-stage Driving device (Driving Machine) (D) connecting the external power supply and the controller is placed on the surface of the trunk of the human body.
In view of the difference of physical structures and physiological conditions of different heart failure patients, the transmission distances between the driving device (D) and the transmission device (T), between the transmission device (T) and between the artificial blood pump (B) and the transmission device (T) are obviously different, and the sizes of the driving device (D) and the transmission device (T), namely the radius and the height of the cylindrical magnetic core in the device, are important factors for determining the transmission distance of the device.
In view of the convenience of wearing the device and the reduction of the post-operative complications of the patient, the dimensions of the drive device D and the transmission device T should be as small as possible while ensuring the stability of the multi-stage magnetic transmission device. The sizes of all stages of devices (D and T) of the multistage magnetic transmission type artificial heart are difficult to determine aiming at different patients. In order to solve the problem, the invention provides a multistage magnetic transmission type mechanical auxiliary circulation optimization system, and provides a set of optimization system, and the sizes of all stages of devices of the multistage magnetic transmission mechanical auxiliary circulation device are calculated through the system based on a multi-objective optimization algorithm.
Disclosure of Invention
In order to optimize the multistage magnetic transmission mechanical auxiliary circulating device according to the physiological parameters of the heart failure patient. The invention aims to provide a multistage magnetic transmission type mechanical auxiliary circulation optimization system device, which is a multistage magnetic transmission mechanical auxiliary circulation device with high stability and portability for different patients.
In order to achieve the purpose, the invention adopts the technical scheme that:
the utility model provides a multistage magnetism transmission type machinery auxiliary cycle optimizing system which characterized in that: the system comprises a detection module, a decision module and an evaluation module;
the detection module is used for introducing an MRI (magnetic resonance imaging) scanning image of the chest of a patient, obtaining corresponding segmented images of a heart aorta, chest ribs and a body surface through a CAPSULE (computer-aided design) network image model, noninvasively acquiring heart-lung circulation physiological data, namely heart discharge capacity, of the patient based on an ICG (integrated circuit-based) method, measuring the blood pressure of the patient based on an oscillometric method, simultaneously fitting the real-time blood pressure of the patient into a waveform, finally sending the image segmented by a CAPSULE network algorithm of the chest of the patient and the measured heart discharge capacity and blood pressure to a decision module by the detection module, and sending the blood pressure waveform to an evaluation module;
and the decision module makes a decision according to information such as MRI segmentation images, cardiac output and the like based on the artificial heart multi-level magnetic drive model. Firstly, determining the type selection of an artificial blood pump (B) according to the heart discharge capacity and the blood pressure; then, a multi-objective optimization algorithm is utilized, according to the conditions of a plurality of driving devices (D) and transmission devices (T) with different sizes in the prior art and the combination conditions of the driving devices (D) and the transmission devices (T) with different sizes, the stable transmission distance between the driving device (D) and the transmission device (T) and the stable transmission distance between the transmission device (T) and the artificial blood pump (B) are respectively solved, so that the sizes of the driving devices (D) and the transmission devices (T) which are suitable for the position relation matching of the body structures of the patient, namely the heart aorta, the 3 rd rib and the 4 th rib of the thoracic cavity and the body surface of the patient are reversely solved or selected from the stable transmission distances, and the sizes of the driving devices (D) and the transmission devices (T) can be one group or a plurality of groups; in order to ensure the actual stability and safety of the multistage magnetic transmission device, two groups of solutions with the minimum sizes which are closest to the minimum sizes of the driving device (D) and the transmission device (T) are respectively output on the premise of meeting the stable transmission of the device while the minimum size of the driving device (D) and the minimum size of the transmission device (T) output by the decision module are ensured; actually manufacturing three groups of driving devices (D) and transmission devices (T) with different sizes according to the result output by the decision module;
the evaluation module is a multi-stage magnetic transmission device test bench and comprises a device which is used for installing a driving device (D) and can adjust the position of the driving device (D), a transmission device (T) clamping part which can set the position and a simplified simulation circulating table which can replace a blood pump, wherein a plurality of size driving devices (D) and transmission devices (T) which are manufactured according to the output result of the decision module are freely combined and are respectively matched with an artificial blood pump (B) for carrying out actual stability test;
according to MRI images of the chest of a patient after being segmented by a capsule network algorithm, determining the clamping position of a transmission device (T) on a test bed, installing an artificial blood pump selected according to the heart displacement into a simplified simulation circulation table, setting a damping system of the circulation table according to the waveform of blood pressure, simulating the body circulation flow pressure of the patient, adjusting the angle and the position of a transmission shaft of a driving device (D) in a range with an included angle of less than 45 degrees with the axis of the transmission device (T), and performing stability test of multiple groups of numbers on the rotating speed of the artificial blood pump (B);
in the stability test, the stability degree of the flow pressure of the circulating system, the size of the transmission device and the size of the driving device are quantitatively graded, the evaluation value of the multistage magnetic transmission device is calculated by the quantified numerical values of the three based on a weighted average algorithm and is sent to a display screen, and the combination stability and convenience of the driving-transmission combination with the highest evaluation value are better.
The multi-stage magnetic transmission model is shown in fig. 2, wherein 11 is an external one-stage driving device, 22 is an internal two-stage driving device, and 33 is an artificial magnetic core axial flow blood pump.
The CAPSULE network image model used by the detection module model is used for carrying out image segmentation on a scanned picture of the chest of the patient, and the detection module is used for measuring the cardiac output of the patient based on an ICG method.
The decision module takes the cardiac output and the blood pressure as important reference bases to obtain the rotating speed and the load demand of the blood pump required by the patient, and the model of the blood pump can be determined through the corresponding functional relation of the existing different blood pumps and the rotating speed and the load.
The invention aims to optimize the sizes of D and T, including radius and length, by a deep learning optimization algorithm.
The decision module can obtain the distance of the D-T-B three on the basis of the segmented result of the MRI image of the chest of the patient. By utilizing a multi-objective optimization algorithm (a neural optimization algorithm, namely an optimization algorithm of deep learning can be adopted), optimizing by taking the radius and the height of the cylindrical magnetic core in the driving device (D) and the transmission device (T) as targets, and obtaining the sizes of the in-vitro driving device (D) and the in-vivo transmission device (T) through calculation of the magnetic rigidity under different sizes:
the radius and height of the cylindrical magnetic core in the driving device (D) are set to be R respectively1And l1The radius and height of the cylindrical magnetic core in the transmission device (T) are R respectively2And l2Under different sizes and distances calculated by an equivalent magnetic charge method, the magnetic force of the driving device (D), the transmission device (T) and the artificial blood pump (B) in a magnetic system is theoretically calculated.
Calculating the magnetic force between two magnetic cores in the magnetic system according to an equivalent magnetic charge method:
as shown in fig. 4, the upper and lower end surfaces of the driving device (D) are end surfaces 1 and 2, and the upper and lower end surfaces of the transmission device (T) are end surfaces 3 and 4; x is the number of0The distance between the end face 1 and the end face 3 in the direction of an x axis is defined, and the x axis is parallel to a cylindrical magnetic core shaft of the driving device (D) and a cylindrical magnetic core shaft of the transmission device (T).
Taking the magnetic force between the driving device (D) and the transmission device (T) as an example, the end surfaces of the two devices are respectively 1, 2 and 3, 4, and the magnetic core acting forces of the two devices are solved by calculating the magnetic infinitesimal acting force of a certain point of magnetic charge on the end surfaces and integrating the magnetic infinitesimal acting force.
As shown in FIG. 5, A and B are magnetic charges at each point on the end surfaces 1 and 3, and the differential calculation is performed on the acting force between the two, r1Is the distance from the point magnetic charge A to the center of the end face 1, r2The distance from the point magnetic charge B to the center of the circle of the end face 2 is shown; alpha is an included angle between a connecting line of a point magnetic charge A and the circle center and the z axis, and beta is an included angle between a connecting line of a point magnetic charge B and the circle center and the z axis;
Figure BDA0002445907190000051
the vector distance from the point magnetic charge A to the point magnetic charge B is shown; l is the distance between the circle centers of the two end surfaces in the y-axis direction, the y-axis direction is the connecting line direction of the center of the radial surface of the driving device (D) and the center of the radial surface of the transmission device (T) on the same plane, and the z-axis is vertical to the y-axis and the x-axis.
The drive device (D) is assumed to be stationary with respect to the reference. Solving the acting force of the end surface 1 point magnetic charge A on the end surface 3 point magnetic charge B as (wherein dF)13xThe component of the acting force of the magnetic charge A at the end face 1 to the magnetic charge B at the end face 3 in the x-axis direction is represented, and the other components are similar):
Figure BDA0002445907190000061
Figure BDA0002445907190000062
Figure BDA0002445907190000063
Figure BDA0002445907190000064
according to the theory, the acting component force dF of point magnetic charge infinitesimal among the end surfaces 1-4, 2-3 and 2-4 is calculated14xdF14ydF14z、dF23xdF23ydF23zAnd dF24xdF24ydF24zWherein
Figure BDA0002445907190000065
The vector distances between point magnetic charges on the end surfaces 1-4, 2-3 and 2-4 respectively, and L is the center distance between the end surfaces 1-4, 2-3 and 2-4 respectively:
Figure BDA0002445907190000066
Figure BDA0002445907190000067
Figure BDA0002445907190000068
Figure BDA0002445907190000069
Figure BDA00024459071900000610
Figure BDA00024459071900000611
Figure BDA00024459071900000612
Figure BDA00024459071900000613
Figure BDA0002445907190000071
Figure BDA0002445907190000072
Figure BDA0002445907190000073
Figure BDA0002445907190000074
the total magnetic force component of the two magnetic cores is:
Figure BDA0002445907190000075
Figure BDA0002445907190000076
Figure BDA0002445907190000077
wherein B isr1Br2The residual magnetic fluxes of the two magnetic cores are determined by the material and the volume (namely, the radius and the length) of the magnetic cores and can be obtained according to the prior art; r1、R2The radii of the two devices are respectively; mu.s0Is the magnetic permeability in vacuum and has a value of 4 pi x 10-7(H/m)。
Calculating resultant force F through each axial magnetic force component of the two devices, and finally calculating magnetic rigidity k of magnetic force between a driving device (D) and a magnetic core of a transmission device (T) in the magnetic system to judge whether the multistage magnetic transmission device system meets the transmission requirement under the size;
Figure BDA0002445907190000078
wherein F is magnetic force, magnetic rigidity is negative deflection of magnetic force F at corresponding distance x (distance between drive and transmission), if k is more than 0, then transmission requirement is satisfied, otherwise, transmission requirement is not satisfied, wherein F is corresponding Fx、Fy、FzThe resultant force of (a).
According to the principle, whether the transmission requirement is full or not between the transmission device and the magnetic core inside the artificial blood pump can be judged.
The evaluation module is a clamping test bed of the multi-stage magnetic driving device, the manufactured multi-size combined multi-stage magnetic driving device is subjected to a stability performance test, different digital quantization indexes are respectively set according to the stability of the multi-stage driving device, the size of the driving device and the size of the driving device of each size combination, the three indexes are calculated through a weighted average algorithm to obtain an evaluation value, and finally the multi-stage magnetic driving device combination with qualified evaluation value and the score are sent to a display screen for supply according to the sequence of evaluation scores from high to low.
The technical scheme of the invention has the following advantages: 1. through an optimization algorithm, the multistage magnetic transmission mechanical auxiliary circulating device suitable for patients is solved from multiple aspects of stability, convenience, biological functions and the like. 2. The invention determines the limit working condition through the multi-size magnetic transmission test, and ensures the universality and the reliability of the optimization result. 3. The evaluation module can actually test the stability of the multistage magnetic transmission device, and the safety of the device is guaranteed.
Drawings
FIG. 1 shows the position of a multi-stage magnetically driven mechanical assisted circulation device in a human body;
fig. 2 is a simplified multistage magnetic transmission mechanical auxiliary circulation device, wherein 11 is an external first-stage driving device, 22 is an internal second-stage driving device, and 33 is an artificial magnetic core axial flow blood pump.
Fig. 3 is a flow chart of the operation of the system of the present invention.
FIG. 4 is a schematic view of magnetic force calculation of a cylindrical magnetic core in a radial direction; 1-end face 1, 2-end face 2, 3-end face 3, 4-end face 4.
Fig. 5 is a schematic axial diagram of magnetic force calculation of a cylindrical magnetic core.
Detailed Description
The present invention will be further illustrated with reference to the following examples, but the present invention is not limited to the following examples.
Example 1
As shown in fig. 1, the present invention provides a multi-stage magnetic transmission type mechanical auxiliary circulation optimization system, which comprises a detection module, a decision module and an evaluation module, wherein the detection module imports a chest MRI image of a patient and non-invasively measures the cardiac output of the patient based on an ICG method, so as to obtain the human body structure data and the physiological data of the cardiac circulation of the patient, the human body structure data of the patient comprises the position relationship and the distance between the heart, the sternum and the body surface of the chest, the physiological data comprises the cardiac output, the heart rate and the blood pressure of the heart, and the data and the graph are arranged into a data table (curve), and the detection module sends the data and the graph to the decision module; the decision-making module is based on the artificial heart multistage magnetic transmission model, and obtains the device sizes and the suitable position range of a plurality of groups of multistage magnetic transmission type mechanical auxiliary circulating devices suitable for the body structure and the physiological condition of the patient by utilizing an optimization algorithm according to the detected information; the evaluation module is a test experiment platform, and finally, a plurality of groups of multi-stage magnetic transmission type mechanical auxiliary circulating devices with different sizes are placed on the platform to verify the actual transmission effect.
Based on the CAPSULE network image model, the detection module guides the MRI scanning image of the chest of the patient to obtain the segmentation image of the cardiac aorta, the ribs of the chest and the body surface.
Based on a level set labeling method, evaluating the reliability of a segmented image of a capsule network image model by using a Dice (Dice) coefficient method;
Figure BDA0002445907190000091
a represents the outline inside and outside the heart aorta segmented by the capsule network image model, and M represents the outline labeled based on the level set.
The reliability of the CAPSULE network segmentation algorithm is checked in the laboratory according to 237 human chest MRI scanning images, the dess coefficient is 0.98, the reliability is qualified,
the decision module takes the cardiac output and the blood pressure as important reference bases to obtain the sizes of the in-vitro driving device and the in-vivo transmission device, and the functional relation between the rotating speed and the load corresponding to different blood pumps is calculated through experiments.
The decision model applies the load corresponding to the required rotating speed to the magnetic machine system, and the stability of the magnetic machine system is judged through a multi-objective optimization algorithm, a neural optimization algorithm and magnetic rigidity calculation of the magnetic machine system.
The decision module sets condition limit, and the size and position limit obtained by the transmission model determined by the experiment is that the shortest straight line distance L1 between the first-stage driving device in vitro and the second-stage transmission device in vivo is less than or equal to 80mm, and the included angle theta formed by the axes of the two devices1Not more than 45 degrees; the shortest straight line distance L2 between the internal secondary transmission device and the blood pump in the aorta is less than or equal to 70mm, and the included angle theta formed by the axes of the two devices2Less than or equal to 45 degrees; the decision module outputs the sizes of all the stages of the multi-combination multi-stage magnetic transmission device which meets the individual condition of the patient and the installation range in a table form.
The stability of the multi-stage magnetic transmission device with multiple groups of size combinations is verified by building a clamping test bed of the multi-stage magnetic driving device. The size and position limitation obtained by the reference transmission model determined by experiments is that the linear distance between the external primary driving device and the internal secondary transmission device is less than or equal to 80mm, and the included angle formed by the axes of the two devices is less than or equal to 45 degrees; the linear distance between the internal secondary transmission device and the blood pump in the aorta is less than or equal to 70mm, and the included angle formed by the axes of the two devices is less than or equal to 45 degrees. The specific data of a certain person is used for reference, and the system experiment is matched with the actual verification through the system experiment.

Claims (4)

1. Multistage magnetic drive formula machinery auxiliary cycle optimization system, its characterized in that: the system comprises a detection module, a decision module and an evaluation module;
the detection module is used for introducing an MRI (magnetic resonance imaging) scanning image of the chest of a patient, obtaining corresponding segmented images of a heart aorta, chest ribs and a body surface through a CAPSULE (computer-aided design) network image model, noninvasively acquiring heart-lung circulation physiological data, namely heart discharge capacity, of the patient based on an ICG (integrated circuit-based) method, measuring the blood pressure of the patient based on an oscillometric method, simultaneously fitting the real-time blood pressure of the patient into a waveform, finally sending the image segmented by a CAPSULE network algorithm of the chest of the patient and the measured heart discharge capacity and blood pressure to a decision module by the detection module, and sending the blood pressure waveform to an evaluation module;
the decision-making module makes a decision according to information such as MRI segmentation images, cardiac output and the like based on the artificial heart multi-level magnetic drive model; firstly, determining the type selection of an artificial blood pump (B) according to the heart discharge capacity and the blood pressure; then, by utilizing a multi-objective optimization algorithm, according to the conditions of a plurality of driving devices (D) and transmission devices (T) with different sizes in the prior art, aiming at the combination conditions of the driving devices (D) and the transmission devices (T) with different sizes, respectively solving the stable transmission distance between the driving devices (D) and the transmission devices (T) and the stable transmission distance between the transmission devices (T) and the artificial blood pump (B), and reversely solving or selecting the sizes of the driving devices (D) and the transmission devices (T) which are suitable for the position relationship matching of the body structures of the patient, namely the heart aorta, the 3 rd and 4 th ribs of the thoracic cavity and the body surface of the patient from the stable transmission distances, wherein the sizes of the driving devices (D) and the transmission devices (T) can be one group or a plurality of groups; in order to ensure the actual stability and safety of the multistage magnetic transmission device, two groups of solutions with the minimum sizes which are closest to the minimum sizes of the driving device (D) and the transmission device (T) are respectively output on the premise of meeting the stable transmission of the device while the minimum size of the driving device (D) and the minimum size of the transmission device (T) output by the decision module are ensured; actually manufacturing three groups of driving devices (D) and transmission devices (T) with different sizes according to the result output by the decision module;
the evaluation module is a multi-stage magnetic transmission device test bench and comprises a device which is used for installing a driving device (D) and can adjust the position of the driving device (D), a transmission device (T) clamping part which can set the position and a simplified simulation circulating table which can replace a blood pump, wherein a plurality of size driving devices (D) and transmission devices (T) which are manufactured according to the output result of the decision module are freely combined and are respectively matched with an artificial blood pump (B) for carrying out actual stability test;
according to MRI images of the chest of a patient after being segmented by a capsule network algorithm, determining the clamping position of a transmission device (T) on a test bed, installing an artificial blood pump selected according to the heart displacement into a simplified simulation circulation table, setting a damping system of the circulation table according to the waveform of blood pressure, simulating the body circulation flow pressure of the patient, adjusting the angle and the position of a transmission shaft of a driving device (D) in a range with an included angle of less than 45 degrees with the axis of the transmission device (T), and performing stability test of multiple groups of numbers on the rotating speed of the artificial blood pump (B);
in the stability test, the stability degree of the flow pressure of the circulating system, the size of the transmission device and the size of the driving device are quantitatively graded, the evaluation value of the multistage magnetic transmission device is calculated by the quantified numerical values of the three based on a weighted average algorithm and is sent to a display screen, and the combination stability and convenience of the driving-transmission combination with the highest evaluation value are better.
2. The multi-stage magnetically geared mechanically assisted cycle optimization system of claim 1, wherein: the CAPSULE network image model used by the detection module model is used for carrying out image segmentation on a scanned picture of the chest of the patient, and the detection module is used for measuring the cardiac output of the patient based on an ICG method.
3. The multi-stage magnetically geared mechanically assisted cycle optimization system of claim 1, wherein: the decision module obtains the rotating speed and load demand of a blood pump required by a patient by taking the cardiac output and the blood pressure as important reference bases, and determines the model of the blood pump according to the corresponding functional relation of the existing different blood pumps and the rotating speed and the load;
optimizing D and the size of the transmission device (T) by a deep learning optimization algorithm, wherein the optimization algorithm comprises a radius and a length;
the decision-making module obtains the distances among a driving device (D), a transmission device (T) and an artificial blood pump (B) based on the result of the MRI image segmentation of the chest of the patient; using a multi-objective optimization algorithm to optimize the radius and the height of the cylindrical magnetic cores in the driving device (D) and the transmission device (T), and obtaining the sizes of the external driving device (D) and the internal transmission device (T) through calculation of the magnetic rigidity under different sizes:
the radius and height of the cylindrical magnetic core in the driving device (D) are set to be R respectively1And l1The radius and height of the cylindrical magnetic core in the transmission device (T) are R respectively2And l2Under different sizes and distances calculated by an equivalent magnetic charge method, the magnetic force of the driving device (D), the transmission device (T) and the artificial blood pump (B) in a magnetic system is calculated theoretically;
calculating the magnetic force between two magnetic cores in the magnetic system according to an equivalent magnetic charge method:
the upper end surface and the lower end surface of the driving device (D) are an end surface 1 and an end surface 2, and the upper end surface and the lower end surface of the transmission device (T) are an end surface 3 and an end surface 4; x is a radical of a fluorine atom0The distance between the end face 1 and the end face 3 is in the direction of an x axis, and the x axis is parallel to a cylindrical magnetic core shaft of the driving device (D) and a cylindrical magnetic core shaft of the transmission device (T);
taking the magnetic force action between the driving device (D) and the transmission device (T) as an example, the end surfaces of the two devices are respectively 1, 2, 3 and 4, and the magnetic core acting forces of the two devices are solved by calculating the magnetic infinitesimal acting force of a certain point of magnetic charge on the end surfaces and integrating the magnetic infinitesimal acting force;
a and B are magnetic charges of one point on the end surface 1 and one point on the end surface 3 respectively, differential calculation is carried out on the acting force between the A and the B, and r is1Is the distance from the point magnetic charge A to the center of the end face 1, r2The distance from the point magnetic charge B to the center of the circle of the end face 2 is shown; alpha is an included angle between a point magnetic charge A-circle center connecting line and the z axis, and beta is an included angle between a point magnetic charge B-circle center connecting line and the z axis;
Figure FDA0003578403850000041
the vector distance from the point magnetic charge A to the point magnetic charge B is shown; l is the distance between the circle centers of the two end surfaces in the y-axis direction, the y-axis direction is the connecting line direction of the center of the radial surface of the driving device (D) and the center of the radial surface of the transmission device (T) on the same plane, and the z-axis is vertical to the y-axis and the x-axis;
assuming that the driving device (D) is stationary with the driving device (D) as a reference; solving the acting force of the end surface 1 point magnetic charge A on the end surface 3 point magnetic charge B as follows:
Figure FDA0003578403850000042
Figure FDA0003578403850000043
Figure FDA0003578403850000044
Figure FDA0003578403850000045
wherein dF13xThe component force of the acting force of the magnetic charge A at the end face 1 point to the magnetic charge B at the end face 3 point in the x axial direction is represented, and the rest components are similar;
according to the theory, the acting component force dF of point magnetic charge infinitesimal among the end surfaces 1-4, 2-3 and 2-4 is calculated14xdF14ydF14z、dF23xdF23ydF23zAnd dF24xdF24ydF24zWherein
Figure FDA0003578403850000046
The vector distances between point magnetic charges on the end surfaces 1-4, 2-3 and 2-4 respectively, and L is the center distance between the end surfaces 1-4, 2-3 and 2-4 respectively:
Figure FDA0003578403850000047
Figure FDA0003578403850000048
Figure FDA0003578403850000051
Figure FDA0003578403850000052
Figure FDA0003578403850000053
Figure FDA0003578403850000054
Figure FDA0003578403850000055
Figure FDA0003578403850000056
Figure FDA0003578403850000057
Figure FDA0003578403850000058
Figure FDA0003578403850000059
Figure FDA00035784038500000510
the total magnetic force component of the two magnetic cores is:
Figure FDA00035784038500000511
Figure FDA00035784038500000512
Figure FDA00035784038500000513
wherein B isr1Br2The residual magnetic fluxes of the two magnetic cores are determined by the material and the volume or the radius and the length of the magnetic cores respectively; r1、R2The radii of the two devices are respectively; mu.s0Is the vacuum permeability;
calculating resultant force F through each axial magnetic force component of the two devices, and finally calculating magnetic rigidity k of magnetic force between a driving device (D) and a magnetic core of a transmission device (T) in the magnetic system to judge whether the multistage magnetic transmission device system meets the transmission requirement under the size;
Figure FDA0003578403850000061
wherein F is magnetic force, magnetic rigidity is negative partial derivative of the magnetic force F at a corresponding distance x, x is distance between drive and transmission, if k is more than 0, transmission requirement is met, otherwise, transmission requirement is not met, and F is corresponding Fx、Fy、FzThe resultant force of (a).
4. The multi-stage magnetically geared mechanically assisted cycle optimization system of claim 1, wherein: the evaluation module is a clamping test bed of the multi-stage magnetic driving device, the manufactured multi-size combined multi-stage magnetic driving device is subjected to a stability performance test, different digital quantization indexes are respectively set according to the stability of the multi-stage driving device, the size of the driving device and the size of the driving device of each size combination, the three indexes are calculated through a weighted average algorithm to obtain an evaluation value, and finally the multi-stage magnetic driving device combination with qualified evaluation value and the score are sent to a display screen for supply according to the sequence of evaluation scores from high to low.
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CN105498001A (en) * 2015-11-26 2016-04-20 曾宪林 Exocardial assisted-circulation artificial heart

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CN105343951A (en) * 2015-11-26 2016-02-24 曾宪林 Ventricular assist device
CN105498001A (en) * 2015-11-26 2016-04-20 曾宪林 Exocardial assisted-circulation artificial heart

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