88 results about "Flow perfusion" patented technology

The invention discloses a bedside skin flap blood flow monitoring and early warning device and computing equipment, and the device comprises a skin flap tissue perfusion monitoring module which comprises a probe housing, a microcirculation blood flow velocity sensor, a tissue oxygenation degree sensor and a flexible connecting arm; the data acquisition and transmission module is used for receiving the blood flow velocity data and the oxygenation degree data through a data line and carrying out analog-to-digital conversion and data packaging; the central processing unit comprises a data storage module, a data analysis module and an early warning module; the data analysis module comprises a baseline establishment sub-module, an anomaly detection sub-module and a trend prediction sub-module; and the early warning module is used for displaying a red alarm through a bedside display screen and sending a short message alarm containing the patient name, the bed number, the early warning type and the severity information to a medical staff mobile terminal through the wireless notification module. According to the invention, the abnormal condition of skin flap blood perfusion can be found and predicted in time, and the workload of medical staff is reduced.

The invention relates to a blood flow quantitative analysis method and device based on an indocyanine green contrast video. The method comprises the steps that video data of indocyanine green fluorescence contrast are collected and preprocessed; extracting dynamic change characteristics of fluorescence intensity of the blood vessel region in the time sequence by adopting an optical flow model based on brightness change; introducing a weighted cross-correlation optical flow model, and extracting dynamic information of all blood vessel regions from each video frame; based on the optical flow vector and fluorescence intensity information of the blood vessel region, blood perfusion parameters are calculated, and a global blood perfusion pseudo-color graph is generated; and selecting a region of interest on the blood perfusion pseudo-color graph to obtain the change condition of the statistical fluorescence brightness value along with time in the region of interest, and drawing a time-brightness curve for presenting the dynamic change trend of the blood flow. Compared with the prior art, the global blood perfusion graph can be generated in real time, and the dynamic change of blood perfusion of all blood vessels can be visually displayed through the time-brightness curve.

The invention relates to the technical field of medical data processing and nerve regulation and control, in particular to a method for synchronously activating post-stroke neuroplasticity through photoacoustic, which comprises the following steps of: 1, constructing a stroke specific brain region target map: fusing brain structure connection data and functional network data of a patient, generating a three-dimensional target map containing the high-metabolism semi-dark band coordinate set and the cross-hemisphere compensatory connection intersection; 2, calculating a time-space synchronization focusing parameter; 3, synchronous stimulation and dynamic regulation are executed, wherein the ultrasonic transducer and the laser source are controlled to emit time-space synchronous sound waves and light pulses; monitoring the blood perfusion variable quantity and the neurotransmitter concentration ratio of the target brain area in real time; when the blood perfusion variable quantity does not reach the expectation or the transmitter ratio is unbalanced, the stimulation intensity is dynamically adjusted, and the focusing coordinate is translated in the direction away from the infarction area. Through photoacoustic stimulation of time-space synchronization, the difference between the propagation speeds of sound waves and light waves is overcome, and accurate collaboration of neural restoration is achieved.

The application provides a perfusion balloon catheter with a one-way valve, comprising: a balloon body part; the balloon body part comprises an inner lumen tube and a plurality of balloons arranged around the outer surface of the inner lumen tube; the distal balloon tube leg of the plurality of balloons is in contact with the tube wall of the inner lumen tube; a one-way valve is arranged between the inner lumen tube and the balloon part of the balloon. Compared with the prior art, the perfusion balloon catheter provided by the application is formed by a plurality of balloon clusters, and after expansion, a hollow cylindrical shape is formed, and a one-way valve is arranged in the cavity, which is used to simulate the leaflets in the heart valve, and the one-way valve is enabled after the balloon is opened, without the need for switching operation, and the structure is stable, and the function of the leaflets can be realized for multiple times; in addition, the design of the cluster balloon can reduce the difficulty of the balloon forming process while meeting the expected function.

The invention discloses a blood glucose data analysis system and method based on artificial intelligence, relates to the technical field of diabetes management, and aims to solve the problems of blood glucose data distortion and poor blood glucose monitoring suitability of gestational diabetes patients and children diabetes patients in a motion scene. The method comprises the following steps: acquiring blood glucose original data, exercise intensity data, skin impedance data, blood perfusion index data and special crowd exclusive physiological data, preprocessing, calculating three types of interference weight factors, substituting into a calibration formula to obtain corrected blood glucose data, generating a structured report, updating the calibration formula according to a period, and optimizing a special crowd model. By means of the method, motion multi-dimensional interference can be eliminated, the small sample modeling problem of special crowds is solved, and the blood glucose data precision and clinical practicability are improved.

The invention relates to a preparation method of exosome-like nano vesicles. The preparation method comprises the following steps: extracting beet juice; performing low-speed centrifugal treatment on the beet juice, and taking supernate; carrying out medium-speed centrifugation treatment on the supernatant obtained by low-speed centrifugation, and taking the supernatant; carrying out high-speed centrifugation treatment on the supernatant obtained by medium-speed centrifugation to obtain a precipitate containing exosome-like nano vesicles; and carrying out sucrose density gradient ultracentrifugation on the obtained precipitate containing the exosome-like nano-vesicles to obtain the purified exosome-like nano-vesicles. The BELNV prepared by the invention can significantly improve the survival rate of sepsis mice, increase blood perfusion of tissues and organs of the sepsis mice, reduce pathological changes, macrophage infiltration and fibrin deposition in lung and liver tissues of the sepsis mice, and reduce blood coagulation indexes and inflammation indexes. The invention provides a novel treatment target and strategy for a treatment means of sepsis-related blood coagulation dysfunction.

The invention belongs to the technical field of medical rehabilitation instruments and biological signals, and particularly relates to a multi-mode fusion intelligent rehabilitation evaluation system based on EMG and PPG. The system comprises a flexible multi-mode sensor array module used for collecting surface electromyogram signals EMG and photoelectric volume pulse wave signals PPG and capturing muscle activation intensity and blood perfusion dynamics in real time; the self-adaptive contact enhancing module is used for driving the airbag assembly to dynamically adjust the contact pressure between the embedded pressure sensor and the skin through the micro air pump; the edge calculation unit module is used for carrying out localization processing on the collected original signals, quantitatively evaluating the collaboration of muscle activity and blood flow fluctuation and judging whether muscle contraction drives local blood flow change or not or whether vessel limitation reversely inhibits neuromuscular activation or not; and the lightweight classification model module is used for processing the time-frequency characteristics of the EMG and the waveform fragments of the PPG, and outputting rehabilitation state labels after screening key collaborative characteristics through an attention mechanism.

The utility model discloses a splenic artery blood flow limiting support, and particularly relates to the technical field of medical instruments, the splenic artery blood flow limiting support comprises a supporting support and a flow limiting support, the supporting support is sleeved outside the flow limiting support, two ends of the flow limiting support are fixedly connected with the inner side wall of the supporting support, the flow limiting support is a covered stent, and the flow limiting support comprises a contraction section and an expansion section. The contraction section and the expansion section are fixedly connected and communicated, and splenic artery blood flow in the supporting stent flows in from the contraction section and flows out from the expansion section. The splenic artery embolism postoperative spleen blood perfusion can be reduced, and the recurrence of splenic hyperfunction is reduced.

The invention discloses a primary hypertension risk assessment method based on infrared thermal imaging. The method comprises the following steps: (1) respectively taking two-hand infrared thermograms of a healthy subject, a hypertension patient and a hypertension patient before and after cold stimulation by adopting a medical infrared thermal imager; (2) analyzing hand infrared thermograms before and after cold stimulation of a healthy subject, a hypertensive patient and a hypertensive patient so as to reflect vascular reactivity and blood perfusion states of hands of the healthy subject, the hypertensive patient and the hypertensive patient; and (3) taking hand infrared thermograms of the to-be-tested subject before and after cold stimulation by adopting a medical infrared thermal imager, and obtaining a judgment result according to the vascular reactivity and blood perfusion state of the hand. According to the invention, a medical infrared thermal imager is utilized to shoot infrared thermograms of hands of a subject before and after cold stimulation, so that vascular reactivity and blood perfusion states are visually reflected in a non-contact, real-time and visualized manner, and finally, the purpose of evaluating the risk of primary hypertension is achieved.

The embodiments of the present invention relate to the field of cryoablation and disclose a cryoablation temperature prediction method, device, electronic device and storage medium, including: constructing a vascular network diagram based on the vascular centerline in the three-dimensional imaging data before the cryoablation operation, the nodes in the vascular network diagram represent the vascular bifurcation points, and the blood edges represent the vascular connection relationship; during the cryoablation process, using a pre-trained temperature prediction model to predict the temperature field of the target sampling point, the temperature prediction model includes a physical information neural network and a graph neural network; the physical information neural network uses the biological heat conduction equation as a constraint condition to predict the temperature field of the target sampling point, and the graph neural network is used to predict the blood perfusion coefficient of each node in the vascular network diagram to determine the blood perfusion coefficient contained in the biological heat conduction equation, which solves the problem of real-time prediction of cryoablation temperature in accordance with physical laws, so that the results conform to physical laws and meet the real-time requirements during the operation.

This invention discloses an intelligent psychological guidance system for harmonizing the Qi of the internal organs based on TCM emotional differentiation, belonging to the field of medical electronic equipment. The system includes a multi-node physiological signal acquisition module, a central control and data processing module, and an acoustic intervention output module. The system synchronously acquires multi-channel bioimpedance, volumetric pulse wave, and electrocardiogram signals, extracts pulse wave conduction time and local blood perfusion index, constructs Qi characteristic parameters, and maps them to generate emotional tags. The central control module locks the target resonance unlocking frequency according to the tags, modulates low-frequency vibrations with reference audio to synthesize a multimodal signal, and further combines physiological pulse transmission delay to perform phase compensation, controlling the precise output of the intervention signal during ventricular diastole. Steady-state determination and closed-loop tracking are performed based on the dynamic gradient of impedance variance. This invention achieves objective quantification of TCM differentiation and ensures high-precision physical alignment between intervention energy and the hemodynamic state of the internal organs.

The present invention relates to the field of stem cell technology and specifically discloses an application of mesenchymal stem cells (MSCs) for the treatment of lower extremity venous ischemia. This application involves pre-treating human mesenchymal stem cells (hMSCs) with the SDF1-FGF2 fusion protein. This pre-treatment significantly enhances the cell viability, blood flow recovery, and anti-inflammatory effects of hMSCs in a lower extremity venous ischemia model. When hMSCs pre-treated with SDF1-FGF2 were injected into mice modeling venous ischemia, they demonstrated superior effects compared to untreated cells in improving blood perfusion, reducing inflammatory responses, and restoring motor function. This method provides a highly effective stem cell therapy strategy for vascular diseases such as lower extremity venous ischemia.

This application relates to a coronary sinus and left atrium shunt system, belonging to the field of medical device technology. The system described in this application, by setting up a puncture component and a shunt component including a cutter, allows for the cutting of a portion of myocardial tissue between the coronary sinus and the left atrium, forming a shunt orifice. This establishes a shunt channel between the coronary sinus and the left atrium, effectively avoiding the embolism risk associated with atrial septal shunts and improving coronary artery blood perfusion, potentially benefiting myocardial recovery.

The invention relates to the technical field of biology, in particular to a method for modular assembly of artery blood vessel type organs and construction of tissue microcirculation of the artery blood vessel type organs. The method comprises the following steps: inducing human pluripotent stem cells to differentiate through a mesoderm stage to form an arterial specific vascular organoid module (AVO), and then carrying out modular assembly on the AVO in vivo or in vitro so as to quickly reconstruct a tissue microcirculation network with arterial characteristics. The obtained artery blood vessel organoid is uniform in form, the diameter of the artery blood vessel organoid is intensively distributed at about 200 microns, SOX17 and CXCR4 artery endothelial markers are expressed at the same time, and the artery blood vessel organoid has polarity and a complete basilar membrane. Transplanting experiments show that the organ can be integrated with host blood vessels in a short time, and ischemic tissue blood perfusion is recovered. The defects that existing organoid is irregular, difficult to splice, delayed in perfusion and the like are overcome, and a new strategy is provided for revascularization and acute ischemic disease repair.

The application discloses a bladder cancer diagnosis and treatment integrated system and a control method thereof, which comprises a swept-frequency OCT light source, a treatment laser, a wavelength division multiplexer, a double-clad optical fiber, a flexible scanning probe, an endoscope imaging unit and an intelligent image processing and control terminal; imaging light and treatment laser are transmitted in a common light path by using the double-clad optical fiber, and scanning and light beam control are completed by means of a double-axis MEMS micro-mirror. The control method obtains tomographic structure information and depth information by reconstructing OCT data, and controls treatment laser power, galvanometer deflection and laser pause, recovery or stop by combining distance calculation, displacement compensation and blood perfusion monitoring, and is suitable for imaging navigation and closed-loop treatment in bladder cancer surgery.

The application discloses a lung ventilation-perfusion imaging area three-dimensional blood flow distribution abnormality analysis method, relates to the technical field of lung function quantitative evaluation, and comprises the following steps: acquiring lung CT image data of a patient to be analyzed, performing structure segmentation on a plurality of sections of the lung CT image data to obtain ventilation phase gray scale images and blood flow perfusion phase gray scale images; on the basis of the lung CT image data, accurately extracting a non-black lung region by threshold segmentation, respectively calculating the ratio of ventilation CT values and blood flow CT values in the region, and generating lung region segmentation data; based on the three-dimensional V / Q ratio atlas, identifying abnormal sub-regions in which local ventilation blood flow ratios deviate from physiological ranges; and obtaining a blood flow distribution abnormality analysis report by performing structured analysis on the abnormal sub-regions. The application divides irregular sub-regions by performing a K-means clustering algorithm on gray scale values in each section, realizes adaptive segmentation of lung function heterogeneity structures, and improves the rationality of local ratio calculation.

The invention discloses a coronary medicine balloon dilatation catheter, and belongs to the technical field of medical instruments. In order to solve the problems that an existing drug balloon is high in blood flow blocking risk, large in drug loss and uneven in drug distribution, the balloon dilatation catheter comprises a catheter body, a dilatation balloon, a drug delivery catheter, a drug storage bin, a driving connecting rod, a connecting ring and a guiding head. The dosing catheter protrudes out of the periphery of the dilatation balloon at intervals, the flexible side wall of the medicine storage bin communicates with the liquid injection cavity channel, and the driving connecting rod drives the dosing catheter to rotationally apply medicine through spiral transmission; the catheter body is provided with an independent blood flow cavity channel and a blood inlet, and a gap formed by the catheter body and the administration catheter forms a double-channel blood flow path. The invention realizes the synergy of vasodilatation, accurate and uniform administration and continuous blood perfusion, reduces drug loss and non-targeted deposition, reduces myocardial ischemia complications and postoperative restenosis risk, is simple and convenient to operate, and is suitable for various coronary heart disease treatment scenes.

The embodiment of the invention relates to the field of cryoablation, and discloses a cryoablation temperature prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: building a blood vessel network diagram based on a blood vessel center line in three-dimensional image data before a cryoablation operation, enabling nodes in the blood vessel network diagram to represent blood vessel bifurcation points, and enabling blood edges to represent a blood vessel connection relation; in the cryoablation process, a pre-trained temperature prediction model is used for predicting a temperature field of the target sampling point, and the temperature prediction model comprises a physical information neural network and a graph neural network; the physical information neural network predicts a temperature field of the target sampling point by taking a biological heat conduction equation as a constraint condition, and the graph neural network is used for predicting a blood perfusion coefficient of each node in the blood vessel network graph so as to determine a blood perfusion coefficient included in the biological heat conduction equation; the problems that the cryoablation temperature is predicted in real time and conforms to the physical law are solved, and the result conforms to the physical law and meets the real-time requirement in an operation.

The invention provides a stroke risk time sequence management-oriented multi-modal data-driven acupoint regulation and self-optimization intervention method and system, and relates to the technical field of medical health information processing. The skin temperature, the heart rate, the infrared blood perfusion, the activity intensity and the sleep state are continuously collected, data cleaning and feature modeling are carried out, a prediction model is trained in combination with historical intervention results, and the optimal intervention opportunity, duration and safety boundary of the day are generated; acupuncture points and execution units are determined according to a planned object, physiological signals are collected in real time, the slow release rate or stimulation intensity is dynamically adjusted, and control is conducted through safety boundary and dose constraint; the risk and stability are calculated based on data and adjustment records before, during and after intervention, a prediction model is updated, a plan of the next day is generated, individualized closed-loop management of monitoring, decision making, execution and feedback is achieved, and the safety and effectiveness of stroke risk intervention are improved.

The application provides a myocardial infarction detection system based on diffusion speckle, and relates to the field of wearable health detection.The system comprises a laser for exciting a laser signal;an optical fiber probe connected with the laser through a multimode optical fiber for guiding the laser signal to a to-be-detected object and collecting a reflected light signal of the to-be-detected object;a camera connected with the optical fiber probe through a multimode optical fiber for obtaining a diffusion speckle image based on the reflected light signal;and a processing device electrically connected with the camera for obtaining an initial blood perfusion index signal and an initial pulse wave signal based on the diffusion speckle image, reconstructing the initial blood perfusion index signal and the initial pulse wave signal respectively to obtain a target blood perfusion index signal and a target pulse wave signal, and performing myocardial infarction detection based on the target blood perfusion index signal and the target pulse wave signal.

This invention relates to the field of medical device technology and discloses a multifunctional auxiliary device for thyroid surgery, comprising: a base; a tension band; a binding block; a base component connected to the binding block, the base component including a fixed ring and a movable ring, the fixed ring being connected to the binding block, the movable ring being rotatably mounted on top of the fixed ring, and the movable ring being coaxial with the fixed ring; traction components, with several sets of traction components mounted on the movable ring; and a drive mechanism. By setting a rotatable movable ring and multiple sets of traction components, during surgery, the drive mechanism drives the movable ring to rotate intermittently in both directions, causing several rotating rods to intermittently change positions at the incision site, thereby continuously changing the stress points of the incision tissue. This allows tissues in different areas to take turns bearing the traction force and receiving blood perfusion, effectively avoiding local tissue ischemia, hypoxia, and plastic deformation caused by stress concentration in traditional traction devices, significantly protecting tissue activity, and promoting postoperative healing.

The invention relates to a prediction model training method for acquiring blood perfusion maps of keloids, which comprises the following steps of: acquiring a sample data set, preprocessing the sample data set, acquiring a training data set comprising a training set and a test set, and samples of which each sample is pix2pix, including a true general image and a true blood perfusion map to which the true general image belongs; a true segmentation image of the general image; respectively inputting the three images of each sample into four corresponding generators in a pre-constructed TripleGAN neural network, and acquiring total loss information by three discriminators based on the outputs of the four generators and the corresponding images in the samples; and further training and testing the TripleGAN neural network to obtain the trained TripleGAN neural network, and taking a generator for receiving the general image and outputting the blood perfusion map in the TripleGAN neural network as a trained prediction model. According to the method, the problems that existing medium scale evaluation is inaccurate, and LSCI evaluation is high in cost and wastes time and labor are solved.

The present application relates to the field of electrical impedance imaging, and discloses a regional lung perfusion delay time analysis method, an electronic device and a storage medium. A dynamic image of conductivity change caused by blood perfusion in a human thoracic cavity is obtained. A blood perfusion image of a heart region and a blood perfusion image of a lung region are separated. A reference curve of conductivity change of the heart region is obtained according to the dynamic image of blood perfusion conductivity change and the blood perfusion image of the heart region. A conductivity change curve of each pixel point in the blood perfusion image of the lung region is obtained according to the dynamic image of blood perfusion conductivity change and the blood perfusion image of the lung region. The conductivity change curve is divided by a sliding time window, and a regional lung perfusion delay time is calculated in each time window. The time resolution advantage of electrical impedance imaging technology is fully utilized, and the time delay of the time when the local blood volume of the lung reaches the maximum relative to the end of the ventricular diastole is reflected by calculating the regional lung perfusion delay time.

The invention discloses a door lock control method and device and an intelligent door lock, the method is applied to the intelligent door lock, and the method comprises the following steps: obtaining a to-be-recognized image, and analyzing the to-be-recognized image to obtain facial feature data of a global face; and processing the facial feature data to obtain a blood perfusion index. Acquiring to-be-processed pulse data of the target user, and processing the to-be-processed pulse data to obtain pulse characteristic parameters. And inputting the blood perfusion index and the pulse characteristic parameter into a preset characteristic fusion model to obtain a control instruction of the intelligent door lock. According to the control instruction, the intelligent door lock is controlled to give out an early warning prompt. According to the door lock control method, signal acquisition and analysis from multiple dimensions are achieved, so that the intelligent door lock is controlled more comprehensively and accurately, finally, early warning prompt is triggered based on the control instruction, accurate and normalized monitoring of the home state of a user is achieved, and effective guarantee is provided for home safety of the user.

This application provides a method, device, system, and medium for monitoring blood perfusion. The method includes: acquiring a speckle image sequence of the tissue region to be monitored based on a laser emitted to it; acquiring ambient light information corresponding to the speckle image sequence and motion information between adjacent speckle images in the speckle image sequence; performing anti-interference processing on the speckle image sequence based on the ambient light information and the motion information between adjacent speckle images to obtain a corrected speckle image sequence; calculating the spatiotemporal joint speckle contrast of the corrected speckle image sequence to obtain a spatiotemporal joint speckle contrast; determining the blood perfusion parameters of the tissue region to be monitored based on the spatiotemporal joint speckle contrast using a pre-established mapping model between speckle contrast and blood perfusion parameters; and outputting a warning message when the blood perfusion parameters meet preset warning conditions. This method aims to improve the accuracy of blood perfusion monitoring.

The embodiment of the invention provides a blood vessel image analysis method and device based on super-resolution radiography and a storage medium. The method comprises the following steps: acquiring a super-resolution blood vessel image to be analyzed; determining a first capillary region and a second capillary region from the super-resolution blood vessel image, wherein the first capillary region and the second capillary region are respectively partial regions of the super-resolution blood vessel image; and determining a blood perfusion ratio of the first capillary region to the second capillary region, and outputting the blood perfusion ratio. According to the technical scheme, the accuracy of quantitative analysis of the microvessels can be improved.

The invention relates to the field of traditional Chinese medicines, in particular to a traditional Chinese medicine composition for preventing and treating sequelae of a damp-heat stasis type pelvic inflammatory disease and application of the traditional Chinese medicine composition. The traditional Chinese medicine composition is prepared from traditional Chinese medicinal materials such as hairyvein agrimony, angelica sinensis, rhizoma smilacis glabrae, cortex phellodendri, zaocys dhumnade, salvia miltiorrhiza, herba lycopi and vinegar-processed bupleurum yunnanense according to a certain weight ratio, wherein the hairyvein agrimony serves as a monarch The traditional Chinese medicine composition can synergistically regulate inflammatory response, reduce the level of proinflammatory factors, improve the expression of anti-inflammatory factors, improve the immune state of a body, remarkably improve local blood perfusion of pelvic cavity and promote repair of a uterus tissue structure. Compared with antibiotic drugs, the traditional Chinese medicine composition disclosed by the invention has more outstanding technical effects in the aspects of improving pelvic blood flow and repairing tissues, and also has a good protection effect on uterine epithelial cells in an inflammatory state. The invention further provides enema liquid prepared from the traditional Chinese medicine composition, a rectal administration preparation and application of the enema liquid and the rectal administration preparation. The traditional Chinese medicine composition provided by the invention is good in safety and clear in action mechanism, can be used for preparing related medicines for preventing and treating damp-heat stasis type pelvic inflammatory disease sequelae, and has a good application prospect.

The application provides a high-definition blood vessel structure reconstruction and blood flow function evaluation method and system, constructs a high-dimensional feature manifold space based on an ultrasonic contrast image, identifies a blood vessel subgroup with different blood flow function modes, finally obtains a high-definition rainbow blood vessel structure video and a blood vessel heterogeneity index in an ultrasonic scanning area, can not only provide a powerful tool for evaluating tumor microvessel structure, blood flow function and spatiotemporal heterogeneity characteristics, provide rich parameters for quantitatively describing a complex blood vessel system of a tumor for early evaluation of drug efficacy, and can specifically identify a target blood perfusion area according to a function characteristic, provide a target prompt and feedback intervention basis for drug targeted release.

The invention discloses a therapeutic instrument temperature real-time monitoring method based on an intelligent sensor. According to the method, a personalized finite element model is constructed by collecting a three-dimensional medical image and real-time sensing data of a patient; forward calculating a theoretical three-dimensional temperature field based on a biological heat transfer model; fusing and correcting the theoretical temperature field and the real-time treatment parameters by using a data assimilation algorithm to obtain an accurate real-time three-dimensional temperature field and a corrected blood perfusion rate; on this basis, the system further calculates a three-dimensional thermal dose field, carries out risk assessment in combination with a real-time temperature field, and finally generates a predictive alarm and closed-loop control instruction; the method has the core advantages that a physical model and sparse sensing data are deeply fused, a digital thermal field model synchronous with physiological characteristics of a patient is constructed, crossing from point temperature measurement to body monitoring is achieved, temperature distribution of a whole treatment area can be comprehensively and accurately predicted in real time, and a monitoring blind area is eliminated.

The utility model provides an aortic arch covered stent in-situ fenestration internal bypass catheter which comprises a catheter body, a near-end developing structure and a far-end developing structure, and a main channel and a bypass channel which are isolated from each other are arranged in the catheter body; the main channel penetrates through the pipe body in the axial direction. The flow turning channel is located on one radial side of the main channel and comprises a near-end opening and a far-end opening which are formed in the side wall of the pipe body, and a flow channel communicating the near-end opening with the far-end opening; the near-end developing structure is arranged on the side wall of the tube body and surrounds the edge of the near-end opening; the far-end developing structure is arranged on the side wall of the tube body and surrounds the edge of the far-end opening; the near-end developing structure and the far-end developing structure are different in shape, a temporary channel of the aorta true cavity and the arch branch is established, and continuous blood perfusion is provided for the brain.