3716 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.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving one or more vascular models associated with either the patient or with a plurality of individuals; receiving observed perfusion information associated with the patient; and estimating, using one or more computer processors, one or more blood flow characteristics or one or more pathological characteristics of the patient based on the observed perfusion information and the one or more vascular models.

Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.

Apparatus and methods are described including placing, into a subject's body, a blood-pump tube, with an impeller disposed within the blood-pump tube. At least one blood-pressure-measurement element extends to at least an outer surface of the blood-pump tube, such that the distal end of the blood-pressure-measurement element is in direct fluid communication with a bloodstream of the subject outside the blood-pump tube at a location that is proximal to blood-inlet opening(s) defined by the blood-pump tube. Blood is pumped through the blood-pump tube, using the impeller. Pressure of the bloodstream of the subject outside the blood-pump tube is measured by measuring blood pressure at the distal end of the left-ventricular blood-pressure-measurement element. Other applications are also described.

A blood flow assist system can include an impeller assembly including an impeller shaft and an impeller on the impeller shaft, a primary flow pathway disposed along an exterior surface of the impeller. The system can include a rotor assembly at a proximal portion of the impeller shaft. A secondary flow pathway can be disposed along a lumen of the impeller shaft. During operation of the blood flow assist system, blood can be pumped proximally along the primary flow pathway and the secondary flow pathway. The system can include a sleeve bearing distal the impeller. The system can include a drive unit having a distal end disposed distal a proximal end of the second impeller. The drive unit comprising a drive magnet and a drive bearing between the drive magnet and the impeller assembly.

The invention relates to a line device (105) for conducting a blood flow for a heart support system. The heart support system has a head unit and an outlet unit. The line device (105) has a main part (205). The main part (205) has, at a first end, a first attachment section (210) for attaching the line device (105) to the head unit and, at a second end, a second attachment section (215) for attaching the line device (105) to the outlet unit. Furthermore, the main part (205) has a mesh section (220) between the attachment sections (210, 215), wherein the mesh section (220) has a mesh structure (230) formed from at least one mesh wire (225). In addition, the main part (205) has an inlet section (235), arranged in the first attachment section (210), for introducing the blood flow into the main part (205).

The invention relates to a brain function evaluation system for a patient with disturbance of consciousness based on a neural multi-modal monitoring technology, and belongs to the technical field of biomedicine, and the system comprises a multi-modal data acquisition module which is used for acquiring multi-modal data of an evaluated person, the multi-modal data comprises clinical behavioral data, cerebral blood flow data, brain image data and neural electrophysiological data, the neural electrophysiological data comprises electroencephalogram and evoked potential data, and the brain image data comprises brain structure images and brain function images; the multi-modal data evaluation module is used for evaluating the clinical behavioral data, the cerebral blood flow data, the brain image data and the neural electrophysiological data to obtain an evaluation value of each modal data; and the comprehensive evaluation module is used for processing the plurality of evaluation values by using a disturbance of consciousness awakening prediction model to obtain an evaluation result. The method has the effects that the brain function of the patient with the disturbance of consciousness is evaluated by using a multi-mode neural function monitoring technology, and the evaluation accuracy is improved.

In hemodynamic determination in medical imaging, the classifier is trained from synthetic data rather than relying on training data from other patients. A computer model (in silico) may be perturbed in many different ways to generate many different examples. The flow is calculated for each resulting example. A bench model (in vitro) may similarly be altered in many different ways. The flow is measured for each resulting example. The machine-learnt classifier uses features from medical scan data for a particular patient to estimate the blood flow based on mapping of features to flow learned from the synthetic data. Perturbations or alterations may account for therapy so that the machine-trained classifier may estimate the results of therapeutically altering a patient-specific input feature. Uncertainty may be handled by training the classifier to predict a distribution of possibilities given uncertain input distribution. Combinations of one or more of uncertainty, use of synthetic training data, and therapy prediction may be provided.

A method comprises receiving a user input to select a first point and a second point from a medical image, extracting a plurality of blood vessel regions from a plurality of frame images of the medical image, determining a plurality of first regions associated with the first point and a plurality of second regions associated with the second point, determining a first frame image and a second frame image with the contrast agent arriving at the first point and the second point, based on a change in pixel intensity for each of the plurality of first regions and the plurality of second regions, and computing the blood flow velocity from the first point to the second point based on a time interval between the first frame image and the second frame image and on a distance between the first point and the second point.

Disclosed herein is an ultrasound system for accessing a vasculature of a patient. The ultrasound system is configured to depict an enhanced ultrasound image of a subcutaneous portion of the patient including an icon surrounding a target vessel depicted on the display. The icon indicates to a clinician the target vessel is within range of a percentage vessel occupancy or vessel purchase length depending on a size of cannula or angle of insertion. The icon can also indicate blood flow strength, vessel type, or vessel deformation. The enhanced image can further include cannula trajectory guidelines and visual alerts for the clinician if the cannula tip can potentially backwall the vessel. Additional icons can indicate obstructions disposed on the cannula trajectory.

Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

The present invention relates to a blood pump (10), in particular intravascular blood pump. The blood pump (10) comprises a pump housing (12) having a blood flow inlet (14) and a blood flow outlet (16) connected by a passage (18), an impeller (20) disposed in said pump housing (12), a drive unit (26) configured to drive the impeller (20), and a bearing arrangement (40, 42) rotatably supporting the impeller (20), wherein the bearing arrangement (40, 42) comprises at least one pivot bearing (40).

The invention concerns a control device for controlling a blood flow of an intravascular blood pump for percutaneous insertion into a patient's blood vessel, the blood pump comprising a pump unit with a drive unit for driving the pump unit and configured to convey blood from a blood flow inlet towards a blood flow outlet, wherein the control device is configured to operate the blood pump in a selectable zero-flow control mode, wherein a blood flow command signal is selected, and the control device comprises a first controller and a second controller, wherein the first controller is configured to control the blood flow by adjusting a speed command signal for the drive unit, and the second controller is configured to control a drive speed of the drive unit.

The invention discloses a power transmission line constructor identity verification method based on face recognition, and relates to the technical field of electric power engineering safety management, and the method comprises the steps: collecting multispectral face data, and generating a spectral stereo feature matrix; micro blood flow pulsation characteristics, skin texture characteristics and thermal imaging temperature distribution characteristics are extracted from the spectrum stereo characteristic matrix, a three-layer cascade anti-counterfeiting verification mechanism is constructed, and comprehensive living body judgment is carried out; establishing a distributed feature matching network, and matching the spectrum stereo feature matrix with a pre-stored feature library; collecting a geographic position track and an operation behavior mode of a constructor, and carrying out multi-dimensional cross validation on the geographic position track and the operation behavior mode and an identity matching result to generate a multi-level safety evaluation index; and writing the identity verification process and the multi-level security evaluation index into a distributed account book, and generating a verification voucher. According to the invention, cross analysis is carried out on the identity matching result of the constructor and the behavior characteristics, so that the problem that a traditional face recognition system is easily falsely used by the identity is effectively solved.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

An apparatus for performing a vascular assessment is disclosed. The apparatus creates a three-dimensional model that is representative of a coronary vessel tree of a patient based on at least two angiographic images. The apparatus estimates first blood flow resistance values for points along at least some vascular segments of the coronary vessel tree using vascular geometrical dimensions of the three-dimensional model. The apparatus also estimates second blood flow resistance values for the points along the at least some vascular segments of the coronary vessel tree using a volume of a crown of the vascular segment downstream from the respective point. The apparatus determines fractional flow reserve (“FFR”) by calculating a ratio of the first blood flow resistance values and the second blood flow resistance values at each of the points along the at least some vascular segments of the coronary vessel tree.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

A blood pump comprises a pump casing having a blood flow inlet and a blood flow outlet, and an impeller arranged in said pump casing and rotatably supported in the pump casing by a bearing so as to be rotatable about an axis of rotation. The impeller has blades for conveying blood from the blood flow inlet to the blood flow outlet. The bearing comprises at least one stationary bearing portion coupled to the pump casing and having a stationary bearing surface that faces radially outwards. The bearing further comprises a rotating bearing surface interacting with the stationary bearing surface to form the bearing, wherein the rotating bearing surface faces radially inwards and is formed on an exposed radially inner edge of the blades. The blades are designed to draw blood deposit on the stationary bearing surface in a radially outward direction.

The invention relates to the technical field of orthopedic diagnosis and treatment, in particular to a monitoring method and system for dynamically monitoring the lower limb vein blood flow state and a storage medium. The method comprises the following steps: acquiring a lower limb vein ultrasound image sequence of a target patient, and establishing a blood vessel space probability distribution map based on anatomical priori knowledge; encoding the blood vessel space probability distribution map into conditional prior information, and constructing a blood vessel ontology knowledge base; constructing a multi-level diffusion probability model according to the blood vessel ontology knowledge base; and performing vascular structure reconstruction and blood flow feature extraction on the lower limb vein ultrasound image sequence by using the multi-level diffusion probability model to obtain blood vessel fluid feature data. Vascular positioning, branch recognition and morphological analysis are completed step by step from macroscopic to microcosmic through the three-level diffusion model, blood flow dynamic information is extracted in combination with time sequence features, and comprehensive representation of a vascular system is achieved.

A blood pump comprises a pump casing having a blood flow inlet and a blood flow outlet, and an impeller arranged in said pump casing so as to be rotatable about an axis of rotation. The impeller has blades sized and shaped for conveying blood from the blood flow inlet to the blood flow outlet. The blood pump also has an outflow cannula having an upstream end portion, a downstream end portion and an intermediate portion extending between the upstream end portion and the downstream end portion. The upstream end portion of the outflow cannula is connected to the pump casing such that blood is conveyed from the blood flow outlet of the pump casing into and through the intermediate portion of the outflow cannula towards the downstream end portion of the outflow cannula, wherein the downstream end portion has a blood flow outlet through which blood can exit the outflow cannula. At least a portion of the intermediate portion of the outflow cannula has an outer diameter that is larger than an outer diameter of the pump casing.

The invention provides a pilot brain consciousness state detection method, an electronic device and a detection system, which are applied to the technical field of biomedicine, and the method comprises the following steps: collecting a dual-channel photoelectric volume pulse wave signal of a forehead part of a to-be-detected pilot; determining a forehead blood oxygen value and a blood perfusion degree of the pilot to be detected based on the dual-channel photoelectric volume pulse wave signal; inputting the forehead blood oxygen value and the blood flow perfusion degree of the pilot to be detected into a pre-trained brain consciousness state score prediction model, so that the brain consciousness state score prediction model performs weighted calculation on the forehead blood oxygen value and the blood flow perfusion degree based on a pre-trained weight coefficient, outputting the brain consciousness state score of the pilot to be detected; and determining the brain consciousness state of the pilot to be detected based on the brain consciousness state score and a preset state score threshold. In this way, the brain consciousness state of the pilot can be comprehensively detected, and the accuracy of detecting the brain consciousness state of the pilot can be improved.

Systems and methods for providing hemodynamic support to a patient with an intravascular blood pump are disclosed. In some implementations, the blood pump includes a motor and an improved motor cable for delivering electrical power to the motor. The motor includes a stator with one or more coils. The motor cable includes one or more electrical conduits. The motor cable also includes a tail portion and a head portion. In some implementations, the head portion may have an O-shape or a C-shape. The motor cable may reduce the complexity of assembling the blood pump. For example, the motor cable may reduce the risk of shorting the one or more coils and / or the one or more electrical conduits.

The invention discloses a medical ultrasonic image intelligent processing method and system, and relates to the technical field of medical image.According to the main scheme, normal feature coordinates of different organs and tissues are calculated by obtaining normal ultrasonic image data, to-be-processed image data and historical medical record information of a patient; extracting coordinates of a to-be-detected image and comparing the coordinates with normal coordinates for preliminary judgment; performing secondary judgment by combining ovality and circularity; setting a lesion gray threshold to judge whether a lesion exists or not; calculating the size of a lesion area when the lesion exists; according to the method and the system, the comprehensive blood flow evaluation index is calculated in combination with color Doppler blood flow imaging data, the disease evaluation value is calculated according to known medical record data and the like, the disease level is judged, the diagnosis report is automatically generated, the accuracy and the efficiency of medical ultrasonic diagnosis are improved, and powerful support is provided for clinical diagnosis.

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.

Intravascular blood pumps and methods of use. The blood pump include a pump portion that includes a collapsible blood conduit defining a blood flow lumen between an inflow and an outflow. The pump portion includes a distal collapsible impeller axially spaced from a proximal collapsible impeller, at least a portion of each of the distal and proximal collapsible impellers disposed between the inflow and the outflow.

The invention belongs to the technical field of physiological parameter measurement and testing, and discloses a multi-mode optical non-contact health monitoring system and method. The system comprises a sensing measurement module, a data synchronous acquisition module, a micro-motion stabilization and correction module, a three-dimensional trajectory reconstruction module, a multi-modal data processing module and a physiological index calculation module. Optical imaging data are processed preferentially through a U-Net network and then fused with video micro-motion features, and the problem of multi-modal data coupling interference in a traditional method is solved. A mathematical mapping relation between blood flow parameters and physiological indexes is established through a diffusion optical spectrum mapping network, the segmented blood flow parameters are mapped to initial physiological indexes, and the time lag problem of single-modal data is solved through time sequence features extracted through a time sequence feature fusion network. And the weights of the time sequence characteristics and the preliminary physiological indexes are dynamically adjusted through a space-time attention mechanism, so that the robustness in a complex environment is enhanced, and the prediction precision and stability of a non-contact health monitoring system are improved.

The invention provides a palm vein feature extraction and depth adaptive matching method, which relates to the technical field of biological recognition, and is characterized in that a three-dimensional space-time convolutional neural network and a graph neural network are combined to extract space depth features, time blood flow dynamic features and blood vessel topological features of palm veins, and information bottleneck is utilized to optimize and screen a feature subset with the most distinguishing property; the method breaks through the limitation of traditional two-dimensional texture feature extraction, obtains abundant palm vein information through multi-source data acquisition (such as near-infrared imaging, a light field camera and a spectrum sensor), overcomes the interference of environmental factors such as illumination, angle and noise, achieves the high-precision modeling and stable extraction effects of palm vein features, and can achieve the real-time extraction of the palm vein features in a complex scene. A high recognition rate is kept under different illumination conditions or user hand posture changes, the robustness of the palm vein recognition system is remarkably improved, and the method is suitable for scenes with high safety requirements.

A prosthetic aortic valve device, delivery system, interventional system, and related method are disclosed. The device includes an inner frame having relative compressed and expanded configurations; leaflets connected to the inner frame and cooperating with each other to control opening and closing of the blood flow passage; and a positioning mechanism arranged in a circumferential direction of the inner frame, the positioning mechanism including a fixed end connected to the inner frame and a free end extending towards the inflow end, the positioning mechanism being configured to be switchable among a loaded configuration, a transition configuration, and a released configuration.