2628 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 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.

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.

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 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.

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.

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.

Method and systems are provided for characterizing blood flow in an atrioventricular valve of the human heart, the atrioventricular valve connecting an atrium with a corresponding ventricle of the heart, the ventricle being fluidly coupled to a particular vessel that transports blood outside the ventricle blood, which involve obtaining image data of the heart and identifying contours of the atrium and a region within the particular vessel within the image data. A time-density curve for the atrium can be calculated from the contour of the atrium and densitometric image data derived from the image data. A time-density curve for the region of the particular vessel can be calculated from the contour of the vessel region and the densitometric image data. Data that characterizes at least one regurgitation fraction related to the atrioventricular valve can be calculated from such time-density curves.

A calculation method and apparatus for a fractional flow reserve (FFR) of a virtual stent, and a device and a medium. The calculation method comprises: in response to a selection operation for a target blood vessel segment, displaying the selected target blood vessel segment in an interaction interface (S110); and in response to an adjustment operation for a virtual stent that is implanted into the target blood vessel segment, displaying, in the interaction interface, an FFR of the virtual stent after being adjusted (S120).

The invention relates to an operation auxiliary system and method based on image processing, and the method comprises the steps: obtaining a preoperative medical image of a patient, collecting a multispectral imaging medical image of a surface structure, blood flow distribution and tissue elasticity of an operation region in real time, carrying out the image feature extraction after preprocessing, obtaining a preoperative image feature and an intraoperative multispectral image feature, and carrying out the image feature extraction; constructing a biomechanical organ model, updating tissue deformation parameters of the biomechanical organ model, performing space-time alignment on the intraoperative multispectral image features and the biomechanical organ model, generating a three-dimensional enhancement model including vascular topology, lesion boundary and elastic distribution, and superposing the three-dimensional enhancement model to a real-time surgical field image to obtain a real-time surgical field image. Marking the relative position of the surgical instrument and the risk area, generating an intervention signal when the instrument is close to a critical safety distance threshold value, and performing surgical operation by a doctor under assistance. Multi-dimensional intraoperative information is obtained through multi-spectral imaging to construct a high-precision dynamic biomechanical model, and precise navigation and active intervention are achieved in combination with the augmented reality technology.

The invention provides a balloon dilatation catheter, and belongs to the technical field of balloon dilatation catheters. The balloon dilatation catheter comprises a catheter body, the far end of the catheter body is provided with a balloon body used for dilating a narrow part, and the near end of the catheter body is provided with an operating handle used for charging and discharging a filling medium into the balloon body. A flow channel allowing blood to penetrate through is formed in the balloon body and / or between the balloon body and the outer side wall of the catheter body in the axial extending direction of the catheter body, in the working process, after the balloon body is filled, a narrow part is treated, and the blood in the narrow part penetrates through the flow channel to continue to be circulated. The balloon is mainly used for solving the technical problems that in the prior art, when a balloon dilates, blood flow is blocked, consequently, far-end blood supply is insufficient, and the drug transfer effect is affected due to insufficient contact time of the balloon and the blood vessel wall.

The invention relates to a lower limb diagnosis training system, and belongs to the field of medical diagnosis and rehabilitation training. The system comprises a detection part used for collecting data information related to the lower limbs of a patient; and the control unit is used for analyzing and processing the data information so as to calculate and obtain a diagnosis result. The control unit can calculate a neural function index based on the electroneurographic signal parameters, calculate a joint activity index based on the joint activity, calculate a muscle strength index based on the muscle strength evaluation value, and further calculate an initial lower limb function comprehensive score; the initial lower limb function comprehensive score is used as an initial diagnosis result to output a control signal of a numerical range of a combination of traction forces in multiple directions, so that electromyographic signal parameters and blood flow parameters acquired by a detection part in real time in the training process of a patient can be used by a control unit for correcting the initial lower limb function comprehensive score; and obtaining a dynamic lower limb function comprehensive score for adjusting the specific numerical value of each traction force distribution.

The invention discloses a brain-computer interface upper limb motion recovery training system, and relates to the technical field of upper limb motion recovery training, the brain-computer interface upper limb motion recovery training system comprises a multi-modal neural signal acquisition module, a combined regulation and control module and a rehabilitation exoskeleton module, the multi-modal neural signal acquisition module is connected with the combined regulation and control module through a wireless Bluetooth protocol, and the combined regulation and control module is connected with the rehabilitation exoskeleton module. The combined regulation and control module is connected with the rehabilitation exoskeleton module through a CAN bus, and the combined regulation and control module is used for synchronously processing fNIRS blood flow signals, tDCS nerve regulation and control parameters and EEG electrophysiological characteristics and generating a closed-loop feedback instruction. By installing the signal fusion unit and the intention analysis unit, time-space complementary fusion of EEG and fNIRS signals is realized, the problem of low precision of traditional single-mode intention recognition is solved, and the motion intention decoding accuracy is improved.

The invention discloses an ultrasonic positioning microscopic imaging method and system based on joint resolution perception and vision Mangbar, and the method specifically comprises the steps: obtaining and preprocessing a plurality of modal angiography data, generating a microbubble motion sequence in combination with blood flow velocity field simulation data, and constructing a data set; inputting the data set into a mixed hierarchical feature pyramid fusion network, carrying out probability density estimation on a microbubble position based on a real-time multi-scale density field estimation algorithm, and introducing a resolution perception algorithm to enhance microbubble features to obtain a plurality of short-track images; performing dynamic feature decoupling and time-frequency analysis on the short-track image, extracting and encoding velocity component features and spatial-temporal context information of a vascular structure, and constructing a double-branch processing network based on visual Mangbar to obtain images respectively reflecting forward motion contribution and backward motion contribution, and finally generating a high-resolution blood vessel image through image fusion. The method has an important value for improving the efficiency and precision in microvascular imaging.

The invention discloses a vertebral artery dissection risk assessment method and system, and relates to the technical field of risk assessment, and the method comprises the steps: collecting ultrasonic dynamic blood parameter data of a vertebral artery of a patient; based on the ultrasonic dynamic blood parameter data, constructing a local blood flow kinetic energy disturbance time sequence diagram by adopting a hemodynamics time sequence analysis method, and performing time sequence prediction to generate a blood flow function disturbance prediction result; dynamically adjusting a risk score threshold by adopting a reinforcement learning algorithm, combining the adjusted risk score threshold with a blood flow function disturbance prediction result, and generating a personalized vertebral artery dissection risk score according to a risk score calculation model; and generating a vertebral artery dissection risk assessment result by using a multi-modal fusion mechanism in combination with the personalized vertebral artery dissection risk score and the multi-source heterogeneous medical feature set. According to the method, the patient static characteristics and the future disturbance trend serve as input, the optimal risk score threshold value is dynamically selected, and the personalized score is generated according to the disturbance threshold exceeding proportion and time weight information.

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.

An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.

The invention relates to the technical field of lung perfusion, in particular to an AI-based lung perfusion evaluation system, which comprises an image quality screening module, a blood vessel positioning analysis module, a blood flow velocity measurement module, a blood vessel anomaly analysis module and an anomaly response module, and is characterized in that the image quality screening module monitors the pixel density of an image and the variation amplitude of color gradient. According to the method, through real-time image definition evaluation and screening, the image selection process is optimized, it is ensured that all the images used for analysis reach the high-quality standard, the gray level change and the edge contour of the blood vessel are automatically calculated, the potential lesion area is accurately positioned and marked, more detailed blood vessel structure analysis is provided, and the accuracy of blood vessel analysis is improved. In addition, the system can rapidly analyze the speed deviation of the blood vessel segment, timely identify the abnormal blood flow, effectively improve the judgment speed of diseases such as pulmonary embolism or pulmonary hypertension, enhance the efficiency of coping with emergency medical conditions through automatic abnormal detection and recording, improve the accuracy and speed of judgment, and support more effective clinical decisions.