3402 results about "Blood flow" patented technology

A system for monitoring hemodynamic status of a patient can include a transducer, an adapter and one or more monitor devices. The adapter may be in communication with the transducer and the one or more monitor devices. The adapter can be configured to receive and process data from the transducer such as unprocessed physiological data. The adapter can be configured to transmit data to the monitor device(s) such as processed and / or unprocessed physiological data. The adapter can be configured to generate, and transmit to the monitor devices(s), user interface data for rendering interactive graphical user interfaces to display information such as physiological information relating to a hemodynamic status of the patient. The adapter can be configured to receive and process, from the monitor device(s) user commands or instructions to control an operation of the system or its components.

Set forth are vascular valves and servovalves and methods of using the same that may be positioned in the circulatory system without interrupting blood flow to facilitate solid organ transplantation so as to reduce graft organ anoxia and degradation before and after harvesting and storage, thereby minimizing late-term cardiac allograft vasculopathy as a major cause of graft failure. Along the urinary tract, bypassing bladder-generated urge sensation by diverting urine directly from the ureters to a neobladder or collection bag alleviates intractable incontinence, nocturia, urethral syndrome, overactive bladder, dysuria, or frequency. Where the lower tract is missing, a prosthesis can thwart disease and preclude the degenerative metaplastic transition to carcinoma risked when gut is used to construct a conduit for urine, a neobladder, and / or high-maintenance stoma. Druglines to valves and servovalves can directly pipeline-target medication to nidi, anastomoses, or any other trouble spots.

Interatrial shunts are described herein that are designed to benefit both the left side of the heart and the right side of the heart. The interatrial shunt is anchored in the atrial septum to permit blood to flow between atrial heart chambers across the atrial septum. In accordance with some aspects, the lumen of the shunt has an effective orifice area selected to permit blood flow across the atrial septum to unload the patient's left ventricle with beneficial effects on the patient's right ventricle. The shunts are structured to be suitably anchored at the atrial septum for long-term implantation. Further, the shunts preferably have insignificant late lumen loss. The interatrial shunts are expected to treat pathologies such as heart failure and pulmonary hypertension.

The invention discloses a test system and method for an artificial heart valve implant, and relates to the technical field of medical instrument detection. The system comprises a ventricle simulator, an atrium simulator, a circulation loop, a high-speed camera and a laser generator, wherein an artificial heart valve is arranged in the high-transparency compliance valve testing cavity, and the circulation loop is composed of a blood vessel compliance simulator and a blood vessel damping simulator. The circulation loop simulates a blood flowing environment for the artificial heart valve, and a flowing medium is added with tracer particle turbid liquid; the ventricle simulator, the atrium simulator, the vascular damper and the vascular compliance simulator respectively provide power, storage space, resistance and pulse pressure for the flowing medium; and the laser generator and the high-speed camera act together to obtain a particle image behind the artificial heart valve. The particle image is uploaded to a computer for heart valve pulsating flow field visualization analysis based on the digital particle image velocity measurement technology, and therefore quantitative analysis of the risk after the heart valve is implanted into the expected position is achieved.

An intravascular 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, wherein the impeller has blades sized and shaped for conveying blood from the blood flow inlet to the blood flow outlet. The blood pump further comprises a drive unit for rotating the impeller, the drive unit comprising a plurality of posts arranged about the axis of rotation, wherein each of the posts includes a shaft portion and a head portion. Coil windings around the posts are sequentially controllable so as to create a rotating magnetic field. The drive unit further comprises a back plate which engages ends of the shaft portions of the posts opposite the head portions.

A medical device with an implantable blood pump and a control and sensing unit configured to determine the flow rate generated by the blood pump when driven by an electric motor, wherein the flow rate is determined using peak-to-peak current data generated by the electric motor and, in some cases, associated heart rate data. In some embodiments, the validity of pulsatility of the resulting blood flow is determined and, if out of predetermined limits, an alarm may be actuated.

The invention provides an acute cerebral apoplexy early-stage intelligent screening and early warning method and system based on deep learning, and relates to the technical field of medical imaging and artificial intelligence, and the method comprises the steps: obtaining a multi-temporal angiography image of the brain of a patient through a pulse-type dynamic imaging scheme, extracting hemodynamic features through a double-flow feature extraction network, and obtaining a multi-temporal angiography image of the brain of the patient; and constructing a vasculopathy risk distribution diagram by combining a vascular structure analysis model, and marking a potential embolism risk area. Furthermore, in combination with tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an ischemic penumbra region is identified by using a self-adaptive threshold segmentation model. And finally, based on the ischemic penumbra area, the tissue perfusion parameters and the brain tissue function parameters, calculating a risk level by using a hierarchical decision model with a space-time attention mechanism, and generating a corresponding clinical intervention scheme. According to the invention, the early accurate screening and risk early warning of acute cerebral apoplexy can be realized, and the clinical intervention efficiency is improved.

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 within the first catheter; moving the funnel 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; applying suction through the funnel; advancing a clot-mobilizer through the first catheter toward the thrombus; engaging thrombus material from the thrombus with the clot-mobilizer; moving the clot-mobilizer and thrombus material proximally at least partially into the funnel; and moving the funnel, the clot-mobilizer and the thrombus material proximally within the vasculature.

A method and apparatus for vascular assessment are disclosed. The apparatus, in some embodiments, receives, from a medical imaging device, a medical image of a coronary vessel tree of a subject and calculates a plurality of geometric measurements associated with individual portions of a vascular segment of the coronary vessel tree. The apparatus also determines a plurality of resistances associated with the plurality of geometric measurements associated with the individual portions of the vascular segment and determines a plurality of pressure drops across the individual portions of the vascular segment based on the determined resistances and a calculated or estimated blood flow. The apparatus further calculates based on the plurality of pressure drops, a functional index indicative of a presence or an absence of a stenosis within the vascular segment.

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).

A blood pump comprises a pump section and a flow cannula. A proximal end portion of the flow cannula is connected to the pump section such that blood can enter the blood flow inlet, and a distal end portion of the flow cannula includes at least one blood flow-through opening for blood to enter the flow cannula. The distal end portion comprises an enlarged diameter portion, with at least a major portion of the blood flow-through opening being disposed in the enlarged diameter portion. The blood pump further comprises a sleeve overlapping the enlarged diameter portion. The sleeve has a structure that prevents its distal end from bending radially inwards into the blood flow-through openings.

A system and method for managing an occlusion, such as a blood clot, within a lumen or passageway of a patient. More particularly, a system and method for rapidly restoring blood flow through an occlusion including a self-expanding, tubular member through which blood may flow when in an expanded state. The tubular member has a structure configured to engage the occlusive material, thereby allowing for extraction of at least a portion of the occlusive material. The system may further employ a material extraction member that is deployed distally of the tubular member.

The invention discloses a liver disease image recognition processing method based on multi-modal fusion, a medium and equipment. The method comprises the following steps: acquiring multi-modal medical data in a liver disease diagnosis process; performing cross-modal feature extraction on the multi-modal medical data to obtain blood flow-image associated features; constructing a physiologically constrained space-time alignment model according to the blood flow-image correlation features, and outputting a synchronous mapping relationship between the blood vessel geometric topology network and the blood flow dynamic parameters; inputting the synchronous mapping relation into a liver disease grading classifier to generate a liver disease grading prediction result; and according to a prediction result, generating output content of multi-modal data visualization and displaying the output content. According to the method, effective fusion and collaborative analysis of multi-modal medical data are realized, and the accuracy and clinical practicability of liver disease grading are further improved.

Implants, implant systems, and methods for treatment of mitral valve regurgitation and other valve diseases generally include a coaptation assist body which remains within the blood flow path as the leaflets of the valve move, the valve bodies often being relatively thin, elongate (along the blood flow path), and / or conformable structures which extend laterally from commissure to commissure, allowing the native leaflets to engage and seal against the large, opposed surfaces on either side of the valve body during the heart cycle phase when the ventricle contracts to empty that chamber of blood, and allows blood to pass around the valve body so that blood flows from the atrium to the ventricle during the filling phase of the heart cycle. Separate deployment of independent anchors near each of the commissures may facilitate positioning and support of an exemplary triangular valve body, with a third anchor being deployed in the ventricle. An outer surface of the valve body may accommodate tissue ingrowth or endothelialization, while a fluid-absorbing matrix can swell after introduction into the heart. The valve body shape may be selected after an anchor has been deployed, and catheter-based deployment systems may have a desirable low profile.

Systems and methods are disclosed for diagnosis, risk assessment, and / or virtual treatment assessment of visceral ischemia and related disorders. One method includes receiving a patient-specific anatomic model of a patient's visceral vasculature, including visceral vasculature of the patient's visceral organs and bowel; determining a location in the patient-specific anatomic model of the patient's visceral vasculature; determining, for the location in the patient-specific anatomic model, a blood flow characteristic of blood flow through the location in the patient-specific anatomic model of the patient's visceral vasculature; determining a tissue region of the patient's bowel proximate the location in the patient-specific anatomic model of the patient's visceral vasculature; and generating an assessment of blood supply adequacy to the tissue region of the patient's bowel or generating a risk score for risk of disease for the patient's bowel, based on the determined blood flow characteristic and an expected blood flow characteristic associated with the tissue region of the patient's bowel.

Systems and methods are disclosed for diagnosis, risk assessment, and / or virtual treatment assessment of visceral ischemia and related disorders. One method includes receiving a patient-specific anatomic model of a patient's visceral vasculature, including visceral vasculature of the patient's visceral organs and bowel; determining a location in the patient-specific anatomic model of the patient's visceral vasculature; determining, for the location in the patient-specific anatomic model, a blood flow characteristic of blood flow through the location in the patient-specific anatomic model of the patient's visceral vasculature; determining a tissue region of the patient's bowel proximate the location in the patient-specific anatomic model of the patient's visceral vasculature; and generating an assessment of blood supply adequacy to the tissue region of the patient's bowel based on the determined blood flow characteristic and an expected blood flow characteristic associated with the tissue region of the patient's bowel.

The present disclosure pertains to head-mounted dual-sided photoplethysmography (PPG) systems and methods for blood flow measurement. In one embodiment, a system comprises a frame designed to be worn on a user's head, integrating a first PPG device positioned on the first side of the user's nose and a second PPG device on the opposite side. Each PPG device includes a light source and photodetector, enabling the capture of optical signals indicative of blood flow within the nasal tissue. A computer is operatively connected to both PPG devices, responsible for obtaining first and second signals from each side and processing these signals to calculate comprehensive measurements of the user's blood flow. This dual-sided configuration enhances measurement accuracy and reliability by mitigating motion artifacts and improving signal quality compared to traditional single-sided PPG systems.

Systems and methods are disclosed for simulation of occluded arteries and / or optimization of occlusion-based treatments. One method includes obtaining a patient-specific anatomic model of a patient's vasculature; obtaining an initial computational model of blood flow through the patient's vasculature based on the patient-specific anatomic model; obtaining a post-treatment computational model by modifying portions of the initial computational model based on an occlusion-based treatment; generating a pre-treatment blood flow characteristic using the initial computational model or computing a post-treatment blood flow using the post-treatment computational model; and outputting a representation of the pre-treatment blood flow characteristic or the post-treatment blood flow characteristic.

A blood pump for supporting a patient's heart includes a flow cannula having a distal portion including a distal end and a proximal portion including a proximal end opposite the distal end, the distal end of the flow cannula configured to be connected to the patient's heart or a blood vessel to establish fluid communication between the blood pump and the patient's heart and blood vessel, respectively. The flow cannula further includes an intermediate portion attached to the distal portion and the proximal portion, wherein the intermediate portion allows twisting thereof with a lower force than the distal portion and the proximal portion. The intermediate portion can be fully occluded by twisting it. At least a portion of the intermediate portion either alone or in combination with the distal portion is adapted to be permanently attached to the patient's heart or a blood vessel.

The invention relates to the technical field of brain function imaging, in particular to a target crowd recognition method and device based on neural blood flow feature multi-level fusion, and the method comprises the steps: collecting brain nerve blood flow signals of normal and target crowds by using synchronous EEG-fNIRS equipment, preprocessing and extracting single-mode features, and obtaining a single-mode feature set; a multi-frequency local nerve and blood vessel coupling analysis method is used for calculating nerve and blood vessel coupling strength characteristics, a space co-positioning method is used for unifying nerve and blood flow modal space information, the position precision is improved, and data layer fusion is achieved; and integrating and analyzing different modal feature space relationships by using a Yeo7 brain template to realize feature layer fusion, and finally training various machine learning classifiers by using significant difference features to realize identification of a target population. Therefore, the problems that in the prior art, macroscopic signal correlation is paid more attention to, so that analysis of the synergistic effect of cross-modal space information in a specific brain region is deficient, and deep understanding of a neurovascular function mechanism and brain region role revelation are restricted are solved.

The invention discloses a capillary image evaluation method, device and equipment and a medium, and the method comprises the steps: obtaining IQ data of a to-be-detected region, and carrying out the beam forming of the IQ data; performing clutter filtering processing on the IQ data of each continuous data frame after beam forming, and extracting a blood flow signal; removing background noise from the blood flow signal to obtain a blood vessel structure image, and segmenting the blood vessel structure image to obtain a distribution position of a blood vessel region; screening a peak region based on the distribution position of the blood vessel region, and determining a peak center position; trajectory tracking is carried out based on the peak value center position, and all trajectories are superposed and displayed to generate a capillary image; and analyzing the generated capillary image, and extracting related parameters of the capillary. Therefore, the method is not limited by image resolution, and can be applied to microvascular images with limited resolution and super-resolution microvascular images, and vascular morphology and hemodynamic parameters can be extracted from the microvascular images with limited resolution and super-resolution.

The invention relates to the technical field of blood pressure measurement, in particular to a cuff-free blood pressure continuous monitoring method based on ICG, PPG and ECG multi-mode physiological signals. According to the method, deep mining and fusion are carried out based on multi-modal physiological signals such as a chest impedance signal ICG, a photoelectric volume pulse wave signal PPG and an electrocardiosignal ECG of a tested object synchronously collected by multi-modal hemodynamics monitoring equipment, and a richer multi-modal feature matrix related to blood pressure changes is constructed; after deep learning fusion training is carried out on the constructed cuff-free blood pressure prediction model, prediction output of a cuff-free blood pressure prediction result can be directly carried out according to ICG, PPG and ECG multi-mode physiological signals of a to-be-detected tested object by means of the cuff-free blood pressure prediction model, the generalization ability and monitoring precision of continuous monitoring of the cuff-free blood pressure can be effectively improved, and the accuracy of continuous monitoring of the cuff-free blood pressure can be improved. The continuous, non-invasive and high-precision blood pressure monitoring requirements are met, and the clinical application value is more remarkable.

The invention provides an early-stage automatic identification method and system for acute kidney injury related to cardiac surgery, and relates to the technical field of physiological parameter detection. The method comprises the following steps: acquiring average arterial pressure, cardiac blood discharge volume, central venous pressure and blood oxygen saturation, regularly recording and extracting data of adjacent time points, calculating a variation range, screening a mutation region, judging whether a reference range is exceeded or not, analyzing a multi-parameter synchronous variation condition, and marking a hemodynamics abnormal state. According to the method, abnormal changes of hemodynamics and urine metabolism are accurately recognized through real-time monitoring and multi-parameter analysis, the urine flow rate and the metabolite excretion rate are combined, misjudgment of a single index is avoided, the fineness of renal function change analysis is improved, the high-risk time period is accurately positioned through time cross comparison, the diagnosis accuracy is improved, and the diagnosis accuracy is improved. Trend analysis and risk grade division enable the change of the illness state to be more visual, and a real-time early warning system effectively monitors the fluctuation trend, optimizes clinical management and improves the timeliness of medical response.

Computer-implemented methods are disclosed for assessing the effect of musculoskeletal activities on disease and / or clinical events, the method comprising: receiving a patient-specific vascular and musculoskeletal model of a patient's anatomy, including at least one vessel of the patient; receiving at least one characteristic of the patient's musculoskeletal activity; generating or updating a computational anatomic vascular and musculoskeletal model of the patient's anatomy based on the received at least one characteristic of musculoskeletal activity; performing at least one of a computational fluid dynamics analysis or a structural mechanics simulation on the computational anatomic vascular and musculoskeletal model; and estimating at least one of the patient's risk of disease or clinical events based on the performed computational fluid dynamics analysis and / or structural mechanics simulation. Systems and computer readable media for executing these methods are also disclosed.

The invention discloses a diabetic foot assessment method based on wound image recognition. The method comprises the following steps: processing a foot infrared thermal imaging image to generate a temperature anomaly graph; fusing the foot wound image and the temperature anomaly graph to generate a fused image; constructing a foot blood flow analysis model, extracting a blood flow influence factor, and correcting the fused image through the blood flow influence factor; and constructing a joint assessment model, taking the corrected fusion image and historical data of the diabetic foot patient as input of the joint assessment model, predicting a risk assessment level of the diabetic foot, and outputting a disease assessment result of the diabetic foot patient according to the risk assessment level. According to the method, multi-modal medical image fusion analysis is realized, the accuracy of wound area positioning and pathological state expression is improved, the accuracy of lesion area recognition is improved, the illness worsening risk can be predicted in advance, clinical decision can be assisted, the risk of serious complications such as amputation of a patient is reduced, and the prognosis and life quality of the patient are improved.

The invention discloses a thyroid intraoperative real-time navigation method and a thyroid intraoperative real-time navigation system based on multi-mode optical fusion. The thyroid intraoperative real-time navigation method comprises the following steps: outputting visible light through an endoscope and coupling light waves of a narrow-band multispectral light source to irradiate an operative field, exciting parathyroid glands to generate near-infrared fluorescence, and receiving reflected visible light, split light, near-infrared fluorescence and laser speckle signals through an endoscope probe. And separating the composite optical signal into four channels, and respectively generating an anatomical structure color image, a blood vessel spectroscopic image, a parathyroid gland near-infrared fluorescence image and a laser speckle image. Performing decorrelation processing on the laser speckle image to generate a blood flow dynamic pseudo-color decorrelation speckle image; an anatomical structure, a blood vessel center line, a parathyroid gland contour and blood flow dynamic feature points are extracted through a multi-modal registration technology, after affine transformation space alignment is conducted, a comprehensive imaging map containing the anatomical structure, blood vessel distribution and parathyroid gland function marking information is generated through a wavelet fusion algorithm, and intraoperative multi-dimensional real-time tissue navigation is achieved.

A method and apparatus for vascular assessment are disclosed. The apparatus, in some embodiments, receives, from a medical imaging device, a medical image of a coronary vessel tree of a subject and calculates a plurality of geometric measurements associated with individual portions of a vascular segment of the coronary vessel tree. The apparatus also determines a plurality of resistances associated with the plurality of geometric measurements associated with the individual portions of the vascular segment and determines a plurality of pressure drops across the individual portions of the vascular segment based on the determined resistances and a calculated or estimated blood flow. The apparatus further calculates based on the plurality of pressure drops, a functional index indicative of a presence or an absence of a stenosis within the vascular segment.

The invention discloses a control method and system suitable for a massage physiotherapy instrument, and relates to the technical field of physiotherapy equipment, and the method comprises the steps: collecting the physical sign parameters of a user in real time, analyzing the muscle, meridian and pain states, and generating matched personalized treatment parameters; based on the personalized treatment parameters, the negative pressure adsorption force of the target area is dynamically adjusted, and the adsorption state is monitored in real time; applying an intermediate-frequency electric pulse to a target area on the basis of negative-pressure adsorption, and dynamically adjusting an electric pulse parameter in combination with an adsorption state; on the basis of feedback data of the target area after the medium-frequency electric pulse effect, controllable heat is transferred to the deep tissue through a heat energy device in the negative pressure adsorption area; after controllable heat transfer is completed, high-frequency sound waves are released in the negative-pressure adsorption area for cell gap micro-vibration; according to feedback data, a heat energy transfer mechanism accurately acts on deep tissues, blood flow is improved, and muscle relaxation is promoted.

A persistent perfusion sheath assembly can be used for the passage of an intravascular medical device while maintain a flow passage in the vessel. The sheath assembly passes through an arteriotomy and can include a first lumen configured for the passage of a medical device, a second lumen configured to allow a flow of fluid from a location in the blood vessel upstream of the arteriotomy to a location downstream of the arteriotomy. The sheath assembly can further include a stylet, a sleeve or an additional sheath configured to selectively open and close the flow of blood between upstream and downstream of the arteriotomy. The sheath assembly can further include a closure device distal of the arteriotomy, the closure device configured to control blood flow through the arteriotomy.

Computer-implemented methods and systems are provided for quantitative hemodynamic flow analysis, which involves retrieving patient specific image data. A 3D reconstruction of a vessel of interest can be created from the patient specific image data. Geometric information can be extracted from the 3D reconstruction. A lesion position can be determined. Patient specific data can be obtained. Hemodynamic results can be calculated based on the geometric information, the lesion position and the patient specific data.