1540 results about "Blood stream" patented technology

The invention discloses a thrombus excision system. An embolus is extracted through a mechanical embolus extraction device, a blood vessel is dredged, and revascularization of the blood vessel is achieved. A saccule guide catheter is put at the near end of the embolus part when the embolus is extracted, blood flow is temporarily blocked, and thus a fine crushed embolus generated in the embolus extraction process is prevented from being flushed to the far end of the blood vessel; meanwhile, for a relatively large embolus, a part of thrombus can also be sucked by virtue of the saccule guide catheter, and then the residual thrombus can be extracted by virtue of a thrombus exsector. The thrombus exsector, the saccule guide catheter and a delivery microcatheter are arranged on the thrombus excision system disclosed by the invention, wherein the thrombus exsector is used as a main component, an excision spring is arranged, and the release state of the excision spring is a conical spiral state. Compared with the prior art, the thrombus excision system has the advantages that the thrombus exsector is very soft, the minimal through size is 0.014' (0.36mm), the thrombus exsector can easily enter a cerebral vessel, a near-end protection technology is adopted in the operation process, and thrombus suction is combined with mechanical embolus extraction, so that the success rate of the operation is improved, and the complications are reduced.

Apparatus and methods for an implant are provided. The implant may have a constrained configuration and a relaxed configuration. The implant may include an outer stent and an inner valve support. The inner valve support may be positioned within the outer stent. The implant may include a transition section spanning between the outer stent and the inner valve support.

The invention relates to a renal transplantation post-operation rejection risk monitoring and early warning method and a renal transplantation post-operation rejection risk monitoring and early warning system. The method comprises the steps of collecting recipient nursing monitoring data, laboratory indexes and transplanted kidney ultrasonic blood flow parameters in a follow-up visit period, performing timestamp alignment, deletion processing and standardization on multi-source data, extracting features to construct a time sequence feature sequence, inputting the time sequence feature sequence into a pre-training risk prediction model, outputting the rejection reaction occurrence probability of the next period, and forming a risk trend. Calculating a nursing sensitive index contribution weight based on the model contribution information, and screening a target nursing monitoring index; and establishing an individualized baseline model to obtain a baseline value and an allowable fluctuation interval, extracting characteristics such as deviation amplitude, direction, rate, fluctuation and continuous deviation duration and the like, and performing individualized calibration on the occurrence probability to obtain a calibration risk score. When the threshold value is not reached and the trend is not triggered, generating a nursing monitoring suggestion of the next period; and pushing early warning and generating grading intervention suggestions when a threshold value is reached or a trend is triggered.

Medical systems, devices, and methods for determining whether a blood vessel is a vein or an artery. The system includes an optical fiber configured for insertion into a blood vessel coupled with a console having a light source, an optical receiver, processors, and logic stored in memory. The optical fiber includes sensors disposed along its length configured to determine a state or condition of the optical fiber. The state or condition can include a strain, movement, pressure, and / or temperature. The logic is configured to analyze reflected signals from the sensors to determine whether the optical fiber is inserted within an artery or within a vein. The logic may also determine a red-blue shift of a projected light to determine a blood flow direction with respect to the optical fiber.

Neurovascular flow diverter and delivery systems, and methods of using the same are disclosed herein. The systems can include an introducer sheath, a catheter, a deployable flow diverter that can be contained in the introducer sheath or in the catheter, a core wire, and one or several deployment features coupled to the core wire and engaging the flow diverter. The deployment features can include one or more of a pusher, one or several friction bumps, one or several deployment coils, a claw mechanism, a self-expanding element, a supporting coil, a tip coil, and / or an atraumatic tip. One or more of the deployment features can be radiopaque.

According to embodiments, a system for imaging a blood flow in a region of interest of a patient includes: a display configured to display an image; a processor configured to execute the instructions to: obtain ultrasound imaging data based on an imaging signal; select the region of interest in the ultrasound image data; determine at least one characteristic of a blood flow in the region of interest; generate an animation indicating the at least one characteristic of the blood flow in the region of interest, wherein the animation indicates the blood flow during a single time slot; and control the display to display a static image including the region of interest and the animation within the region of interest.

A method of extracting a thrombus from a thrombus site in a cerebral artery of a patient by advancing a first catheter into an internal carotid artery of the patient; advancing a funnel catheter within the first catheter; moving the funnel catheter and the first catheter with respect to each other to place the funnel outside of the first catheter; expanding the funnel into contact with an inner wall of the internal carotid artery at or proximal to a distal end of a carotid siphon, thereby reducing blood flow past the funnel; advancing a clot-mobilizer distally through the first catheter toward the thrombus and beyond the carotid siphon; engaging thrombus material from the thrombus with the clot-mobilizer; moving the clot-mobilizer and thrombus material proximally at least partially into the funnel; applying suction to aspirate thrombus material; and moving the funnel, the clot-mobilizer and the thrombus material proximally within the vasculature.

The invention provides a real-time processing method for endoscopic image blood vessel enhancement and microcirculation evaluation, which comprises the following steps of: processing an original endoscopic image, and locally enhancing a brightness channel through a contrast-limited adaptive histogram equalization technology; self-adaptive frequency domain-space domain decomposition is realized based on local texture complexity analysis; performing multi-scale Hessian matrix blood vessel detection on the low-frequency component; applying a directional Gabor filter bank to the high-frequency component; spatial-temporal feature fusion is realized through multi-resolution pyramid optical flow calculation; synchronously completing blood vessel probability prediction, blood vessel diameter estimation and blood flow direction prediction by using a lightweight multi-task deep learning network; the blood flow velocity is analyzed and calculated based on a speckle mode, the perfusion density is subjected to accelerated statistics through an integrogram, and vascular morphological parameters are extracted by adopting an improved skeleton algorithm. According to the invention, an enhanced blood vessel visualization effect and a real-time microcirculation quantitative evaluation function can be provided, and the overall improvement of the endoscope image processing quality and efficiency is realized.

The invention discloses a cerebral vessel anomaly analysis method based on a transcranial Doppler ultrasound image, which comprises the steps of TCD image data acquisition, TCD image space-time filtering preprocessing, automatic blood vessel positioning and three-dimensional modeling, the method comprises the steps of generating a standardized blood vessel segmentation model and a static blood vessel network graph, extracting blood flow quantitative parameters and spectrum qualitative features, analyzing multi-blood vessel space correlation features through a graph attention network, performing primary classification on blood flow states, performing secondary classification on lesion types, making risk grading judgment, generating intervention suggestions and outputting a structured report. By setting an automatic parameter measurement method, the manual operation time of doctors is shortened, and the speed and accuracy of lesion judgment are improved through automatic standardization judgment of frequency spectrum forms and association of multi-dimensional parameters. Meanwhile, the experience requirement of doctors for judging the lesion is reduced, and reference is conveniently provided for batch screening of primary hospitals.

The invention relates to the technical field of intelligent early warning, and discloses a multi-mode intracranial pressure intelligent early warning method and system.The method comprises the steps that an intracranial pressure waveform signal, an electroencephalogram signal and a transcranial Doppler blood flow velocity signal are synchronously collected, and a multi-mode physiological data set is obtained; extracting time domain features, frequency domain features and nonlinear features of the preprocessed multi-modal physiological data set to obtain a standardized feature parameter set; distributing dynamic weights for features in the standardized feature parameter set according to feature modal types of the standardized feature parameter set to obtain a fusion feature vector; performing intracranial pressure prediction on the patient according to the fusion feature vector after nonlinear transformation to obtain an intracranial pressure change sequence; according to the deviation condition of the intracranial pressure change sequence and a clinical preset safety threshold value, an intracranial pressure early warning signal is output; the accuracy of intracranial pressure early warning can be improved.

The invention discloses a thyroid ultrasound image diagnosis method based on deep learning, and the method comprises the following steps: collecting a thyroid ultrasound original image set, and carrying out the preprocessing; performing focus segmentation on the standardized thyroid ultrasound image set; performing morphological constraint and boundary refinement; calculating the blood flow direction, blood flow velocity and blood flow power of each thyroid focus area and neighborhood; generating a preliminary fusion feature map based on a feature adaptive deep learning network, and fusing the preliminary fusion feature map with the thyroid focus blood flow feature vector set; obtaining a thyroid focus detection list through thyroid focus benign and malignant discrimination branches; and generating thyroid focus structured diagnosis data records based on the thyroid focus detection list, and writing the thyroid focus structured diagnosis data records into a computer-aided diagnosis system. According to the method, deep learning and multi-modal blood flow features are fused, intelligent diagnosis of the thyroid focus is achieved, and the method has the advantages of being high in precision, high in interference resistance and structured in result.

The invention relates to the field of medical materials and medical instruments, and discloses a dry bioprosthetic valve and a preparation method thereof.The preparation method comprises the following steps that S1, pericardium and a cross-linking agent solution are mixed for a cross-linking reaction; s2, carrying out first dehydration treatment on the crosslinked pericardium by adopting a first dehydration solution with gradually increased concentration gradient under an ultrasonic condition; and S3, carrying out second dehydration treatment on the pericardium subjected to the first dehydration treatment by adopting a second dehydration solvent, so as to obtain the dried bioprosthetic valve. According to the preparation method provided by the invention, ethanol, isopropanol and water in a specific proportion are adopted to prepare a dehydration solution with gradient concentration, and two-step dehydration drying is carried out in combination with the physical effect of an ultrasonic technology and glycerol, so that rapid rehydration of the bioprosthetic valve is realized, and the original shape and mechanical property of the bioprosthetic valve can be better recovered after rehydration; and the immediate hemodynamic stability of the valve is improved.

A vehicle includes a first footwell and a first massage housing disposed at the first footwell. The massage housing comprises an upper surface, a lower surface and a first actuator coupled between the upper surface and the lower surface. The first actuator generates movements of the upper surface. A user interface within the vehicle controls the first actuator.

The invention discloses an ultrasonic blood flow quantitative analysis method based on a skeletonized image, which comprises the following steps of: firstly, selecting a target analysis area containing a micro blood flow image in a grey-scale map formed by ultrasonic imaging; the method comprises the following steps of: firstly, carrying out normalization processing, nonlinear gray mapping, Gaussian filtering, minimum filtering and high-pass filtering in sequence to realize enhancement, noise suppression and edge enhancement on a target image, and finally, carrying out binaryzation on the image, and carrying out skeleton extraction based on an iterative refinement principle to obtain a final blood flow skeleton. According to the method, preprocessing such as noise suppression and edge enhancement is performed on the ultrasonic micro blood flow image before binarization and skeleton extraction, so that the accuracy and robustness of skeleton extraction are remarkably improved, and a reliable basis is provided for subsequent quantitative analysis and quantitative evaluation of a vascular network structure.

The invention provides a portal vein pressure adjusting support and a production method thereof, and belongs to the technical field of medical instruments.The adjusting support comprises a cylindrical support body, the support body is provided with a first section and a second section which are integrally arranged, and the side wall of the first section is provided with a film-shaped component used for sealing and isolating the outer side and an inner cavity of the support body; a pressure adjusting valve is arranged in an inner cavity of the first section, is opened for blood flow to pass through when the pressure in the portal vein is larger than a set threshold value, and is closed to cut off the blood flow when the pressure in the portal vein is smaller than the set threshold value; the stent can automatically adjust the opening and closing state of the shunt channel according to the portal vein real-time pressure, and ineffective shunt is reduced to the maximum extent while it is ensured that the portal vein pressure is reduced to a safe range, so that the occurrence risk of hepatic encephalopathy is reduced.

The invention provides a lung function compensation mechanism dynamic quantitative analysis method combining partition impedance measurement and a machine learning algorithm, and the method comprises the steps: obtaining a corresponding relation between a ventilation dynamic sequence and a blood flow characteristic value, and enabling the ventilation dynamic sequence and the blood flow characteristic value to be aligned in a time dimension through a multi-dimensional data fusion technology, constructing a joint feature matrix reflecting the breathing process change and the blood flow state to obtain a time-space synchronization feature set; expanding the three-dimensional dynamic model according to a time axis by adopting a data visualization technology through a compensation state quantification result, extracting a key frame from linkage change of a ventilation state value and a blood flow characteristic value, and generating a dynamic representation sequence reflecting a lung function compensation process; and obtaining a dynamic representation sequence, carrying out grouping analysis on individual differences in the sequence by utilizing a clustering algorithm, extracting a characteristic mode related to disease dynamics from a grouping result, and obtaining final lung function compensation quantitative representation data.

The invention belongs to the technical field of radial artery compression hemostats, and particularly relates to a radial artery hemostasis method based on real-time pulse analysis and a hemostat control system. A slow and continuously changing force is applied to a radial artery puncture opening through the pressure applying module, meanwhile, the pulse detection module transmits a pulse forced feedback signal of the puncture opening to the main control module in real time, and the main control module analyzes and processes the received feedback signal in real time and judges the current hemostatic state of the radial artery. And on this basis, the pressure applying module is controlled to adjust the pressure. The method is characterized in that the relation between pulse forced feedback signals and the forced state of the radial artery is obtained through clinical tests according to the difference of the pulse feedback signals of the radial artery in different pressed states, and therefore the pressure is stabilized in the state that the blood flow of the radial artery is stable and a puncture opening does not bleeding. According to the scheme, the individual difference between different patients can be overcome, the compression hemostasis strength is adjusted in a self-adaptive mode, and the occurrence rate of related complications such as radial artery occlusion is effectively reduced.

The invention relates to the technical field of medical data analysis. By providing the multi-modal fusion ACLR post-rehabilitation intelligent evaluation method and system, the method comprises the steps that peripheral modal data, central modal data and rehabilitation intervention data of an ACLR patient are synchronously collected and processed, and a multi-source heterogeneous data set is obtained; performing space-time alignment processing on the multi-source heterogeneous data set through a preset unified timestamp to generate a time-synchronized cross-modal data set; the cross-modal data set is processed through the trained brain-muscle-bone multi-modal fusion model, and three-dimensional comprehensive evaluation indexes including the structure safety degree, the function recovery degree and the nerve recombination degree are generated; and performing rehabilitation parameter dynamic optimization processing according to the three-dimensional comprehensive evaluation index, and generating a personalized blood flow limitation training pressure value and proprioceptive training intensity, so as to achieve the technical effects of multi-dimensional quantification of a rehabilitation state, dynamic adaptation of training parameters, nerve-muscle-bone collaborative intervention, improvement of a rehabilitation curative effect and reduction of a re-injury risk.

The utility model discloses a thrombus aspiration plugging sheath system based on a special-shaped cavity, which comprises a vacuum device, an aspiration plugging sheath, an aspiration plugging sheath and an aspiration plugging sheath, and is characterized in that the vacuum device comprises a negative pressure needle cylinder and a piston buckle arranged on the side wall of the negative pressure needle cylinder; the balloon sheath tube comprises a tube body, a balloon used for blocking is arranged at the far end of the tube body, a connector connected with the vacuum device is arranged on the side of the near end of the tube body in a supporting mode, and a plurality of special-shaped cavities are formed in the tube body; the thrombus dragging instrument is used for blocking blood flow to reduce blood loss during thrombus suction and intercepting the thrombus to prevent the thrombus from escaping when the thrombus is dragged; the vacuum device is arranged on the side branch of the near end of the balloon sheath tube, and the thrombus dragging instrument is arranged in the balloon sheath tube. According to the embodiment of the utility model, the balloon filling opening and the thrombus suction opening are formed in the catheter body, a multi-cavity structure is adopted, the balloon sheathing canal blocks blood flow, and the thrombus dragging instrument is matched with a vacuum device to suck, drag and take out thrombus.

The invention relates to a simulation-based target removal area determination method and device. The method comprises the following steps: acquiring a heart simulation model and corresponding blood flow field information; according to the left heart lumen model and the blood flow field information, determining a first target area in the ventricular septum model; stress calculation is carried out according to the ventricular septum model, and a second target area in the ventricular septum model is determined; determining an initial target area according to the first target area and the second target area; according to the ventricular septum model, determining the thickness range of the initial target area at the end of contraction; determining a target cutting thickness according to a preset basic thickness and a thickness range; according to the heart simulation model, the initial target area, the target resection thickness and the blood flow field information, a first target resection area is determined. By adopting the method, the cardiac muscle tissue area needing to be cut off can be accurately determined.

The invention relates to the technical field of skin lesion area reconstruction, in particular to a skin lesion area reconstruction system based on multi-modal image fusion. The system comprises a deep multi-scale feature extraction module, a skin thermal anomaly feature extraction module, a hemodynamic feature extraction module, a depth and boundary feature extraction module, a skin surface feature extraction module, a fluorescence intensity distribution and morphological feature extraction module, a first feature fusion module, a second feature fusion module and a lesion area reconstruction module. According to the method, appearance, heat, blood flow, structure and surface features are extracted from the multi-modal data, then the multi-modal image data are integrated, finally, comprehensive representation and reconstruction of skin lesion appearance, function and structure information are achieved according to the synergistic effect of the multi-modal information, and the accuracy and clinical reference value of lesion area reconstruction are effectively improved.

The invention belongs to the technical field of brain function monitoring, and discloses a three-in-one non-invasive brain function monitoring system and method, a medium, equipment and application, and the monitoring method comprises the following steps: monitoring brain oxygen saturation of a critical patient; carrying out transcranial Doppler ultrasonic measurement on intracranial blood vessel blood flow velocity and ultrasonic measurement on the inner diameter of the optic nerve sheath; monitoring a quantitative electroencephalogram of the patient; various brain function monitoring series indexes and continuous changes of the indexes along with disease evolution are obtained, the pathogenic mechanism and pathogenesis of the indexes are found in time, and primary diseases and related complications of the primary diseases are treated. According to the invention, the brain oxygen saturation can avoid too low brain oxygen or low brain oxygen for a long time and too high brain oxygen due to oxygen utilization disorder; cerebral blood flow can be monitored through a transcranial Doppler (TCD) technology to find an optimal craniocerebral perfusion pressure (CPP), and a cerebral blood flow self-adjusting function is enabled to be in an optimal state; the electroencephalogram can avoid early warning of over-sedation or abnormal discharge and the like. Through organic combination of the three, noninvasive, real-time and dynamic monitoring of critical patients is realized.

An intravascular blood flow sensing system is provided. The system includes an intravascular catheter or guidewire with a flow sensor that obtains flow data of blood flow within a blood vessel. The system includes a processor circuit that communicates with the intravascular catheter or guidewire. The processor circuit receives the flow data from the intravascular catheter or guidewire, determine a plurality of values based on the flow data, and outputs a plot of the plurality of values to a display. The plot includes peak associated with coronary reactivity testing (CRT). The processor circuit can also automatically change between a louder volume and a softer volume for audio output of the flow data. The processor circuit can additional communicate with a device other than the flow sensor (e.g., ECG, pressure sensor, etc.), and graphical representations of the flow data and the data received from the other device can be independent scaled.

Devices, systems, and methods for causing retrograde oxygenated blood flow in at least a portion of the venous system of the myocardium are disclosed. Devices and methods include a method for causing retrograde oxygenated blood flow in at least a portion of the venous system of the myocardium, the method comprising: implanting a variable occluder in a coronary sinus region proximate a left atrium, wherein the variable occluder is configured to gradually increase a level of blood flow restriction over a period of days to enable a venous system of the myocardium to compensate for increased pressure caused by the gradual increase in the level of blood flow restriction; and following venous system compensation, shunting oxygenated blood flow into the coronary sinus to cause retrograde flow of oxygenated blood in at least a portion of the venous system of the myocardium to thereby enable revascularization of the myocardium.

The invention relates to the technical field of image modeling, in particular to a three-dimensional modeling method and system for medical image data, and the method comprises the steps: carrying out the preprocessing of the obtained two-dimensional or three-dimensional medical image data, extracting a blood vessel region based on the image texture and gray features, and generating a preliminary blood vessel structure segmentation image; in combination with a blood flow simulation or real acquisition means, obtaining dynamic feature data from the vascular structure segmentation map, and mapping the dynamic feature data to a corresponding vascular structure position to form a vascular distribution map with blood flow constraint; and inputting the blood vessel distribution diagram into a three-dimensional modeling module, expanding and complementing small blood vessel branches by utilizing blood flow constraint, dynamically correcting the form of a main blood vessel, and generating a three-dimensional blood vessel structure model with real fluid physiological characteristics. The method can be widely applied to medical research and clinical aid decision-making scenes such as preoperative simulation, individualized intervention path planning and blood flow reconstruction analysis, and has good popularization and application prospects and engineering practical value.

This disclosure describes examples of dual-modality imaging implementations involving both photoacoustic and fast super-resolution ultrasound localization imaging for non-invasive and non-superficial monitoring of both structural information and physiological activities / parameters in tissues. As an example, such dual-modality imaging may be particularly applied to the monitoring of structural information and physiological activities / parameters associated with the blood-brain barrier (BBB) in brain vascular structures that are subject to intervention / modulation (by, e.g., Focused Ultrasound, or FUS) for purposes of drug delivery from a blood flow to brain tissues.

Systems and methods for blood flow control are described herein. In some variations, a blood flow control system may comprise a blood flow control device. The blood flow control device may be placed within a body of a patient and may comprise an expandable member and a sensor. The sensor may be configured to measure at least one of a physiologic condition of the patient and a pressure associated with the expandable member. The blood flow control system may include at least one controller communicably coupled to the sensor to: receive data indicative of at least one of the physiologic condition of the patient and the pressure associated with the expandable member from the sensor, compare the received data with target data, identify at least one error based on the comparison, and in response to identifying the error, inhibit at least one function of the blood flow control system.

The invention relates to an OCT (Optical Coherence Tomography) navigation uterine cavity adhesion and dissection postoperative residual adhesion prediction method, which comprises the following steps of: acquiring an interference signal of an intraoperative uterine cavity wall area by utilizing OCT equipment, and identifying an adhesion fiber microstructure which is not completely broken so as to judge the existence of an optically invisible residual adhesion microbridge; applying low-frequency bioelectrical stimulation to the wounded area of the uterine cavity during the operation, and marking the wounded area as a tissue repair electrical activity silent area if no blood flow micro-reaction is continuously detected; oCT micro-deformation sequence analysis is carried out on the region after intraoperative dissection is completed, mutation breakpoints of tissue elastic distribution are identified, and the potential risk that traction after-tack occurs in the region is predicted; detecting whether a metabolic oxidation reaction residual zone exists in the operation area or not so as to judge local tissue repair activity decline and re-adhesion tendency; local micro-intervention stimulation is applied to the tissue area judged to be high in risk, OCT imaging is carried out again to detect the reversibility of tissue optical response, and if an image is still fractured and red shift is enhanced, it is judged that the area is the postoperative irreversible adhesion residual area.

Various example of the present disclosure provide sensing apparatuses configured for wearable and wireless use for deep tissue physiological monitoring. The sensing apparatuses may be embodied by a thin flexible patch configured to conform with a skin surface of a subject. A sensing apparatus may include a plurality of microneedles oriented to extend towards and penetrate into the subject to a shallow depth. The microneedles may be configured as waveguides for a given sensing modality (e.g., light, ultrasound), such that sensing wave signals propagate to deep tissues. For the sensing, the sensing apparatus includes waveform generators (e.g., light-emitted diodes) and waveform detectors (e.g., photodiodes). Machine learning models may be used to process and denoise sampled data from the waveform detectors and to generate accurate and reliable physiological measurements, including heart rate, respiratory rate, pulse intensity, respiratory intensity, blood oximetry, tissue oximetry, blood flow rate, and / or the like.

A clip may be configured to close the portion of the heart, to reduce blood flow therethrough as well as passage of clots or other undesired materials. The clip may be configured to close the left atrial appendage (LAA). The closure of the LAA may reduce the possibility of stroke or other maladies stemming from fluid flow with the LAA. Delivery systems may comprise expansion apparatuses for a left atrial appendage clip. The expansion apparatuses may include retention mechanisms for retaining the clip.