7472 results about "Rat heart" patented technology

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.

Systems and methods for cooling a biological sample with different temperature cooling blocks. Warmer cooling blocks can be placed around a container and cooler cooling blocks can be placed above the container. The biological sample can be a pancreas, heart or other organs. The method and system can rely on convection, or gravity-based fluid movement, to make the temperature within the container consistent.

The dynamic monitoring system for the senile cardiac patient comprises a multi-mode sensor module, a data processing module, an analysis module and an alarm module. The multi-modal sensor module collects parameters to generate a multi-modal physiological signal; the data processing module generates a preprocessing signal; the analysis module performs real-time analysis on the pre-processed signal based on a preset elderly electrocardiogram characteristic model to generate a graded alarm instruction; the alarm module triggers corresponding local reminding, remote notification or first-aid linkage response according to the graded alarm instruction, wherein the first-aid linkage response automatically sends the patient position and key physiological data to a specified first-aid center through the first-aid communication module; wherein the self-adaptive adjustment of the multi-mode sensor module comprises the step of dynamically optimizing signal gain according to a skin contact state. According to the dynamic monitoring system for the senile cardiac patients, the problems that dynamic monitoring of the senile cardiac patients is poor in real-time performance, high in false alarm rate and delayed in first-aid response can be solved.

In one embodiment, a medical system includes a catheter configured to be inserted into a chamber of a heart of a living subject, and including multiple electrodes configured to capture electrical activity from electrical activation signals propagating in tissue of the chamber, a display, and processing circuitry configured to automatically select bipolar signals to be captured into an electro-anatomical map from respective electrode pairs of the multiple electrodes responsively to an alignment of the respective electrode pairs with a direction of propagation of the electrical activation signals, and render the electro-anatomical map to the display.

A transport container and methods for preserving a heart at a hypothermic temperature. The transport container can maintain the heart at a temperature of 6-8° C. for improved results after transplantation. The preservation of the heart within this range can improve transplantation outcomes.

A device comprises an implantable blood pump receivable in a sheath for percutaneous delivery. The implantable blood pump comprises a collapsible impeller mounted in a collapsible impeller cage, and a drive device mounted in a housing. The housing is in connection between a first end of a catheter and the collapsible impeller cage. The drive device is adapted for rotating the collapsible impeller. A retractable support structure is adapted to extend from the catheter. The extended retractable support structure is adapted to engage with the wall of the aorta for allowing the implantable blood pump to be secured in the left ventricle. The collapsible impeller cage comprises an inlet and an outlet. The inlet is adapted to receive blood from the left ventricle. The outlet directs blood in the direction of the atrioventricular valve.

The invention relates to a method for determining a flow rate of a fluid flowing through an implanted vascular assist system, said method comprising the following steps: a) carrying out a first pulsed Doppler measurement at a first pulse repetition rate by means of an ultrasonic sensor of the assist system; b) carrying out a second pulsed Doppler measurement at a second pulse repetition rate by means of the ultrasonic sensor of the assist system, wherein the second pulse repetition rate differs from the first pulse repetition rate; c) determining the flow rate using measurement results of the first pulsed Doppler measurement and the second pulsed Doppler measurement.

The invention discloses an electrocardiogram classification system and method fusing multi-scale self-adaptive attention, and relates to the technical field of electrocardiogram classification.The electrocardiogram classification method comprises the steps that electrocardiogram data are collected through a data collection module, and a structured data set is output; the data preprocessing module is used for carrying out data preprocessing on the structured data set; the window data segmentation module obtains a standardized windowed electrocardiosignal; the feature extraction module takes the standardized windowed electrocardiosignals as input, performs three stages of multi-scale convolution feature extraction, liquid neural network dynamic modeling and self-adaptive attention mechanism enhancement, and outputs diagnosis results of nine types of heart diseases; and the training and optimizing module is used for optimizing the extraction and classification capability of the model on the electrocardiosignal features, so that the technical effects of full-process technical upgrading from data acquisition, preprocessing, feature extraction to model training optimization and high-precision electrocardiogram automatic classification are achieved.

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.

The invention relates to the technical field of medical image processing, in particular to an engineered heart tissue pulsation trajectory automatic analysis method based on an image recognition algorithm, which comprises the following steps: S1, multi-modal image fusion: performing space-time registration and feature fusion on acquired multi-modal heart images to generate a fused image sequence; s2, cardiac muscle tissue segmentation: outputting a cardiac muscle tissue segmentation result with a timestamp; s3, motion track modeling: generating three-dimensional track point cloud data in a pulsation period; s4, feature parameter extraction: performing spatial-temporal feature analysis on the track point cloud data, and extracting multi-dimensional motion parameters; and S5, heterogeneity atlas generation: generating a cardiac pulse heterogeneity atlas according to the multi-dimensional motion parameters. According to the method, automatic analysis of the cardiac pulse track and generation of the heterogeneity atlas based on the multi-modal image and space-time modeling are realized, and the precision and the intelligent level of cardiac motion anomaly recognition are remarkably improved.

The invention relates to the technical field of health status assessment, in particular to a cardiovascular disease layered early warning system, which is characterized in that blood vessel compliance and pulse wave velocity are extracted, arterial dilation capacity is measured, blood vessel elasticity is calculated, blood perfusion distribution is detected, and abnormal vasoconstriction is classified on the basis of a hemodynamic state and a heart electrical activity state; in combination with the thickness of the blood vessel wall and the blood vessel stenosis rate, the plaque deposition condition is analyzed, the arteriosclerosis score is calculated, the thrombosis tendency is detected, the local blood flow blocking degree is quantified, the isolation forest algorithm is adopted, the blood flow dynamic change is calculated, the heart rhythm abnormality is analyzed, the acute vascular occlusion probability is measured, and the sudden heart rhythm abnormality risk is evaluated. And based on a gradient boosting tree algorithm, screening high-risk cases, matching medical intervention measures, setting a risk buffer mechanism, adjusting an individual health management strategy, and optimizing a cardiovascular risk hierarchical early warning system.

The invention relates to a bearing device (100) for a cardiac support system. The bearing device (100) comprises a stand unit (105) and an impeller (110). The stand unit (105) is designed to support the impeller (110) such that it can rotate. The impeller (110) is designed to rotate during an operation of the cardiac support system in order to convey a pump fluid flow (115). The impeller (110) is designed to enclose at least one subsection (120) of the stand unit (105) in the assembled state of the bearing device (100), wherein an intermediate space (125) for guiding a flushing fluid flow (130) is provided between the subsection (120) and the impeller (110). At least one flushing outlet (135) is formed in the impeller (110). The flushing outlet (135) is designed to discharge the flushing fluid flow (130) from the intermediate space (125) by means of centrifugal force when the cardiac support system is in operation.

The present disclosure provides a method and system for analyzing unipolar electrophysiological (EP) signals acquired by a multi-electrode catheter placed in a ventricle of a patient's heart. The method includes receiving unipolar EP signals, extracting unipolar far-field signals from the unipolar EP signals, and analyzing the extracted unipolar far-field signals to estimate the distribution of scar regions across a thickness of wall tissue of the ventricle. Using the estimated distribution, a unipolar far-field EP map showing the scar regions is generated. The method further includes displaying the unipolar far-field EP map including the scar regions to a user. The system comprises a display device and a processor configured to perform the steps of the method.

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 a motor housing module (110) for sealing a motor compartment of a motor of a heart support system. The motor housing module (110) has at least one feed-through portion (205), at least one feed-through line (210), and at least one contact pin (215). The feed-through portion (205) is designed to establish an electrical connection between the heart support system and a connection cable in order to externally contact the heart support system. The at least one feed-through line (210) is embedded in the feed-through portion (205) and extends through the feed-through portion (205). The feed-through line (210) can be connected to the motor and to the connection cable. A first end of the at least one contact pin (215) is embedded in the feed-through portion (205) and a second end of the contact pin (215) projects from the feed-through portion (205) on a side facing away from the motor compartment. The second end of the contact pin (215) can be connected to a sensor line to at least one sensor of the heart support system and to the connection cable.

A blood pump system includes a catheter, a pump housing disposed distal of a distal end of the catheter, a rotor positioned at least partially in the pump housing, a controller, and an electrode coupled a distal region of the blood pump. The electrode can be used to sense electrocardiogram (EKG) signals and transmit the signals to a controller of the blood pump. The operation of the blood pump can be adjusted based on the EKG signal and on cardiac parameters derived from the EKG signal. Further, the controller can determine a need for defibrillation or pacing of the patient's heart based on the signal and can administer treatment with electrical shocks to the heart via the electrode coupled to the blood pump. The use of an electrode with a blood pump already in place in the heart allows for more efficient and safer treatment of serious cardiac conditions.

A method of automatically determining a plaque score for coronary arteries of a patient is disclosed. The method involves receiving cardiac CT data indicative of a cardiac CT scan carried out on the patient, and analysing the cardiac CT data to identify plaque volumes to be included in the plaque score, the plaque volumes located on the coronary arteries. The method also includes determining locations of the identified plaque volumes on the coronary arteries, applying machine learning to the cardiac CT data to identify a plurality of primary key points on the coronary arteries, determining a distance between each identified plaque volume and an associated primary key point, and determining a plaque score based on a heart dimension value and, for each identified plaque volume, the determined distance from the identified plaque volume to the associated primary key point.

A normothermic perfusion circuit can be used to perfuse a donor heart after transportation and before transplantation. The circuit can drain the organ storage container of cold preservation solution, perfuse the aorta of the heart with warm fluid to initiate heart activity, and then perfuse the left atrium of the heart with warm fluid to bolster heart activity and evaluate heart viability. Heart viability can be determined using parameters measured by sensors in the circuit.

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.

There is provided an intravascular blood pump for insertion into a patient's heart. The blood pump comprises a slotless permanent magnet motor contained within a housing, the motor having p magnet pole pairs and n phases, where p is an integer greater than zero, and n is an integer ≥3. The motor comprises a stator extending along a longitudinal axis of the housing and having 2np coils wound to form two coils per phase per magnet pole pair. The stator comprises inner and outer windings each comprising np coils electrically connected such that the current flowing through the coils is in the same direction, the coils of the outer winding arranged on an outer surface of the coils of the inner winding.

A normothermic perfusion circuit can be used to perfuse a donor heart after transportation and before transplantation. The circuit can drain the organ storage container of cold preservation solution, perfuse the aorta of the heart with warm fluid to initiate heart activity, and then perfuse the left atrium of the heart with warm fluid to bolster heart activity and evaluate heart viability. Heart viability can be determined using parameters measured by sensors in the circuit.

The invention relates to an implantable vascular support system (10), comprising:—a fluid channel (13) passing through the support system (10) and through which fluid can flow; —a first pressure sensor (18a, b) arranged and configured to determine at least a static pressure or a total pressure in the region of the support system (10); —a second pressure sensor (17) arranged and configured to determine at least a static pressure or a total pressure in the region of the fluid channel (13).

A method of automatically determining a plaque score for coronary arteries of a patient is disclosed. The method involves receiving cardiac CT data indicative of a cardiac CT scan carried out on the patient, and analysing the cardiac CT data to identify plaque volumes to be included in the plaque score, the plaque volumes located on the coronary arteries. The method also includes determining locations of the identified plaque volumes on the coronary arteries, applying machine learning to the cardiac CT data to identify a plurality of primary key points on the coronary arteries, determining a distance between each identified plaque volume and an associated primary key point, and determining a plaque score based on a heart dimension value and, for each identified plaque volume, the determined distance from the identified plaque volume to the associated primary key point.

The invention relates to a sensor head device for a heart support system, wherein the sensor head device has at least one sensor carrying element, wherein the sensor carrying element has at least one sensor cavity for accommodating at least one sensor and / or at least one signal transmitter cavity for accommodating at least one signal transmitter.

A method can comprise deploying a prosthetic valve with a delivery apparatus, where the prosthetic valve comprises a frame and a rotatable screw connected to the frame, and where the screw comprises a screw head having an annular bore with internal threads. The delivery apparatus is releasably coupled to the screw and can comprise a first shaft and a first head disposed at an end of the first shaft, the first head comprising external threads releasably engaged with the internal threads of the screw head, and a second shaft that is coaxial with and surrounds the first shaft, the second shaft comprising a second head disposed at an end of the second shaft, the second head releasably engaged with an exterior surface of the screw head. Deploying the valve includes radially expanding the prosthetic valve by rotating the screw with the delivery apparatus.

A catheter includes a catheter body, a pump assembly and a cannula. The pump assembly can be disposed at a distal end of the catheter body and has a distal portion. The cannula can be coupled to the distal end portion of the pump assembly and can include a proximal cannula portion and a distal cannula portion. The distal cannula portion has an approximately helical shape which can allow the cannula to be inserted into a patient's right heart and pump blood therethrough. In certain implementations, the distal tip of the helical shape has a slight bias relative to the main helix to further facilitate delivery of the device. In certain applications this bias is toward the central axis of the helix.

An intravascular blood pump includes a pump housing having an input port and an output port. A relatively short intake cannula may draw blood in through an intake port and deliver the blood to the input port of the pump housing. The intake cannula is relatively short, to prevent excess hydraulic loss. An outflow hose is connected to the output port of the pump housing, so as to convey blood exiting the output port through the outflow hose in a downstream direction to a discharge port, e.g. into an aorta or other blood vessel. Despite the short intake cannula, the outflow hose longitudinally separates the intake port from the discharge port sufficiently so the intake port and the discharge port remain on opposite sides of a heart valve, despite inadvertent longitudinal shifts of the intravascular heart pump.

The invention discloses an old people heart anomaly detection auxiliary system based on deep learning. The old people heart anomaly detection auxiliary system comprises a data acquisition module, an edge preprocessing module, a multi-modal space-time representation module and an intelligent detection module. The invention relates to the technical field of heart health monitoring, in particular to an old people heart anomaly detection auxiliary system based on deep learning, which realizes efficient denoising through a variable bit width quantized one-dimensional convolutional neural network; double attention is introduced into the time domain and the frequency domain, noise is suppressed in a multi-scale mode, and the extraction capacity of weak pathological waveforms is enhanced; layered self-supervised comparative learning is carried out to obtain general representation, and a dynamic map convolutional network is used to capture time-space association of physiology and environment, so that the accuracy of heart anomaly detection is improved; edge end preliminary screening and high-precision classification are combined through a double-layer inference mechanism, and a risk curve is generated based on continuous time Bayesian variation updating, so that real-time detection of the heart abnormality of the old people is realized.

Systems and Methods are disclosed for detecting acute coronary syndrome (ACS) events, arrythmias, heart rate abnormalities, medication problems such as non-compliance or ineffective amount or type of medication, and demand / supply related cardiac ischemia. The system may have both implanted and external components that communicate with a Physicians's programmer, and smart-devices for monitoring and alerting to detected medically relevant events or states. At least one processor provides event detection using statistical threshold criteria calculated upon at least a portion of a patient's data / distributions and set for a patient or based upon what a doctor determines as abnormal for a patient. Cardiovascular condition is tracked using histogram, trend, and summary information related to heart rate and / or cardiac features such as S-T segment measures of heartbeats. Heartbeats with elevated rates, and below a “high” range, provide medically relevant detections including medication non-compliance. Novel methods of power management and patient monitoring are disclosed.

The invention belongs to the technical field of medical imaging and digital twinning, and discloses a thoracic cavity whole organ system level lung four-dimensional EIT detection digital motif and a library building method, and the method comprises the following steps: S1) segmenting multiple organs such as double lungs, heart, sternum, rib and thoracic vertebra central axis skeleton, main bronchus and esophagus based on an individual CT image, and building a three-dimensional geometric model integrated with an EIT electrode array; s2) simulating breathing dynamic deformation by using a solid mechanical model; s3) establishing a coupling relationship between deformation and conductivity, and generating dynamic three-dimensional conductivity distribution; s4) solving an electromagnetic field positive problem, and generating a virtual EIT voltage database synchronous with respiration; the invention also covers pathological model integration and data enhancement strategies. According to the method, a high-fidelity, large-scale and diversified EIT virtual data set can be generated, core data support is provided for training and verifying an AI intelligent reconstruction algorithm, and a model foundation is laid for developing a lung function dynamic digital twinning system.