29 results about "Ventricular pressure" patented technology

Coaptation assist device for repairing cardiac valves and associated systems and methods are disclosed herein. A coaptation assist device configured in accordance with embodiments of the present technology can include, for example, a fixation member configured to press against cardiac tissue proximate to a native valve annulus, and a stationary coaptation structure extending away from the fixation member. The coaptation structure can include an anterior surface configured to coapt with a first native leaflet during systole and a posterior surface configured to displace at least a portion of a second native leaflet. The device also includes at least one sensor configured to detect parameters associated with at least one of cardiac function and device functionality. The sensors can be pressure sensors configured to detect left atrial pressure and / or left ventricular pressure.

The systems, devices, and methods presented herein use a heart pump to obtain measurements of cardiovascular function. The heart pumps described herein can operate in parallel with and unload the heart. The system can quantify the functioning of the native heart by measuring certain parameters / signals such as pressure or motor current, then calculate and display one or more metrics of cardiovascular function. These metrics, such as left ventricular end diastolic pressure (LVEDP), left ventricular pressure, and contractility, provide valuable information to a user regarding a patient's state of heart function and recovery.

A system for determining fluid responsiveness of a patient includes a hemodynamic sensor that produces, on an ongoing basis, a hemodynamic sensor signal representative of a right ventricular pressure (RVP) waveform of the patient and an integrated hardware unit. The integrated hardware unit includes a processor, a memory, and a display including a user interface. The memory includes instructions that, when executed by the processor, cause the system to receive the hemodynamic sensor signal representative of the RVP waveform of the patient, convert the RVP waveform of the patient into an estimate of a blood flow waveform of the patient, determine a stroke volume variation (SVV) of the patient based on the estimate of the blood flow waveform of the patient to generate a determined SVV, and output, to the display, an indication of a fluid responsiveness status of the patient that is based on the determined SVV.

The invention provides a self-adaptive control method and device for a double-ventricle auxiliary system. The method comprises the steps that target aortic pressure detected by a first pressure sensor, target left ventricular end diastolic pressure detected by a second pressure sensor, target right atrial pressure detected by a third pressure sensor and target pulmonary artery pressure detected by a fourth pressure sensor are obtained; and determining a strategy for adjusting the left ventricular assist device or the right ventricular assist device according to the target left ventricular end diastolic pressure, the target right ventricular pressure and the target pulmonary arterial pressure when the peripheral perfusion of the target user is insufficient or the lung is over-perfused. The pressure sensors are arranged to detect the pressure of the inlets and the outlets of the left ventricular assist device and the right ventricular assist device, whether adverse events such as peripheral insufficiency or pulmonary hyperperfusion occur to a user or not is judged according to the detected pressure, and then the adverse events are relieved or even solved by adjusting the rotating speeds of the left ventricular assist device and the right ventricular assist device. And the safety of the user is greatly improved.

A system for determining placement of a catheter in a patient includes a hemodynamic sensor and a display. The hemodynamic sensor produces a signal representative of a right ventricular pressure waveform of the patient. The catheter is connected to the hemodynamic sensor. The system further includes one or more processors and computer-readable memory encoded with instructions that, when executed by the one or more processors, cause the system to receive the signal representative of the right ventricular pressure waveform and extract features from the right ventricular pressure waveform. The instructions further cause the system to compare the features to one or more value ranges of the features to determine that the catheter is correctly placed when values of the features are within the one or more value ranges or that the catheter is incorrectly placed, is not properly connected to the system, or signal quality issues are occurring.

The invention provides a ventricular elasticity value estimation method and device.The method comprises the steps that a first parameter and a second parameter are obtained, the first parameter comprises at least one of target ventricular pressure, target aortic pressure and target pulmonary arterial pressure of a target user, and the second parameter comprises at least one of the target ventricular pressure, the target aortic pressure and the target pulmonary arterial pressure; the second parameter comprises the pumping flow of the target ventricular assist device and the cardiac cycle of the target user; inputting the first parameter and the second parameter into a target decision model, and outputting a target ventricular volume; and estimating a target ventricular elasticity value according to the ratio of the target ventricular pressure to the target ventricular volume. The ventricular volume of the current user is estimated through the decision model, the estimated ventricular elasticity value is calculated according to the ratio of the ventricular pressure to the ventricular volume, and the ventricular elasticity value of the patient can be accurately predicted in real time without depending on ultrasonic equipment.

The present invention provides a control system and method for personalized treatment of a left ventricular assist device, relating to the field of artificial heart technology. The method comprises: for each cardiac cycle, a Starling-like regulator receives a left atrial pressure signal fed back by a physiological feedback module, and outputs a desired cardiac index based on the patient's body surface area; a pump flow quantification feedback module calculates the pump flow in real time based on the rotational speed and current of the left ventricular assist device, and outputs the feedback cardiac index in combination with the patient's body surface area; calculates the deviation between the desired cardiac index and the feedback cardiac index, inputs the deviation into a controller, and the controller determines the output current increment based on the deviation; and repeats the above process until the control system stabilizes. Ventricular pressure is monitored by the physiological feedback module and the cardiovascular coupling module, and personalized physiological characteristics analysis is performed in combination with the patient's body surface area, so that the pump speed parameters can be automatically optimized according to the patient's real-time physiological state.

The invention belongs to the technical field of new application of medicines, and provides application of Zhongwinning in preparation of a medicine for treating ischemic heart disease. In a myocardial ischemia rat model test, Zhongwinning shows that the Zhongwinning can obviously improve the left ventricular ejection fraction and the left ventricular short-axis shortening rate of a myocardial ischemia rat; in addition, the rising and falling rates of the ventricular pressure of the myocardial ischemia rats can be remarkably improved, and it is indicated that Zhongutanin can effectively recover the left ventricular systolic function and can effectively repair myocardial injury caused by myocardial ischemia reperfusion. Therefore, according to the experimental research result of the application, the Zhongwinning has a certain application prospect in treating the ischemic heart disease.

A system for determining a global hypoperfusion index (GHI) includes an arterial blood pressure sensor, a ventricular blood pressure sensor, an oximetry module, and an integrated hardware unit including a system processor and a system memory. The system memory includes instructions that cause the system to receive arterial hemodynamic data, ventricular hemodynamic data, and blood oxygen saturation data. One or more right ventricular pressure features, one or more pulmonary artery pressure features, one or more cardiac output parameters, and one or more venous oxygen saturation parameters are derived from the arterial hemodynamic data, the ventricular hemodynamic data, and the blood oxygen saturation data. The GHI is derived by using a predictive decision model based upon the one or more right ventricular pressure features, the one or more pulmonary artery features, the one or more cardiac output parameters, and the one or more venous oxygen saturation parameters.

A system for determining a hemodynamic condition of a patient includes a hemodynamic sensor and a display. The hemodynamic sensor generates a hemodynamic sensor signal representative of a right ventricular pressure waveform of the patient. The system also includes one or more processors and a computer readable memory encoded with instructions that, when executed by the one or more processors, cause the system to receive a hemodynamic sensor signal representative of the right ventricular pressure waveform of the patient. The instructions also cause the system to estimate a filtered cardiac output by filtering the one or more cardiac output estimates using a Kalman filtering algorithm, and to output the filtered cardiac output to the display. At least one of the one or more cardiac output estimates is determined using the right ventricular pressure waveform of the patient or a feature extracted from the right ventricular pressure waveform of the patient.

According to the catheter pump system, characteristic values of ventricular pressure and vascular pressure are obtained through the ventricular pressure and the vascular pressure which are actually measured through double sensors, and when average motor current drops, whether a movable sealing piece leaks or not is preliminarily judged through whether the characteristic values of the ventricular pressure and the vascular pressure change or not. And when the preliminary judgment result is yes, judging whether the leakage of the dynamic sealing element is deteriorated or not according to whether the average value of the motor current is increased or not within the preset time. And when the deterioration result is judged to be yes, an alarm suggested to stop the pump is sent out so as to prevent the deterioration.

The application discloses a use of taibai araloside in treating hypoxic pulmonary arterial hypertension. In the use of hypoxia to induce pulmonary arterial hypertension, it is found that the taibai araloside can reduce right ventricular pressure and right heart hypertrophy index, and inhibit pulmonary arterial remodeling; the taibai araloside reduces the expression and activity of ACE in the lung in a concentration-dependent manner, and corrects the disorder of the RAS system in the lung caused by hypoxic pulmonary arterial hypertension. Moreover, a monomer component of the taibai araloside, anemarrhena asphodeloides glycoside and chizhenshan saponin IVa, has a stable combination with ACE. The results show that the taibai araloside has the potential to be developed into a drug for preventing and treating hypoxic pulmonary arterial hypertension in the clinic, and also provides a prevention and treatment strategy for interstitial lung disease, chronic obstructive pulmonary disease, sleep apnea syndrome, chronic high altitude disease and neonatal respiratory disease.

The embodiment of the application provides a kind of ventricular assist device monitoring system and device, it is related to medical instrument technical field, above-mentioned system includes ventricular assist device and monitoring device, the monitoring device executes following monitoring method: the current rotating speed of ventricular assist device is obtained rotating speed signal, and the first pressure signal of the left ventricular pressure of patient heart is determined;Based on the rotating speed signal and first pressure signal, the target correlation value of the degree of correlation between current rotating speed and left ventricular pressure is calculated;Based on the deviation between the target correlation value and preset reference value, the target support state of the ventricular assist device is determined.The scheme provided in the embodiment can realize the real-time continuous accurate monitoring of the support state of ventricular assist device.

This application discloses a method, apparatus, device, and blood pump for detecting the suction strength of a blood pump, belonging to the field of artificial heart technology. The method includes: in the first stage of operation after the blood pump is inserted into the heart of a target object, determining the first ventricular diastolic pressure corresponding to the target object; in the second stage of blood pump operation, acquiring ventricular pressure data corresponding to the target object; and determining the suction strength information of the blood pump based on the first ventricular diastolic pressure and ventricular pressure data. In the technical solution provided by this application, the ventricular diastolic pressure, which is significantly affected by valve status in the prediction relationship, is used as the judgment object. First, the first ventricular diastolic pressure is determined under the condition that the valve can open and close normally in the first stage. Then, the predicted ventricular pressure data in the second stage is compared with the first ventricular diastolic pressure to determine the blood pump suction strength information that can characterize the probability of abnormal events such as suction and continuous valve closure, thereby improving the safety of the blood pump.

A system for determining a hemodynamic condition of a patient includes a hemodynamic sensor and a display. The hemodynamic sensor produces a hemodynamic sensor signal representative of a right ventricular pressure waveform of the patient. The system further includes one or more processors and computer-readable memory encoded with instructions that, when executed by the one or more processors, cause the system to receive the hemodynamic sensor signal representative of the right ventricular pressure waveform of the patient. The instructions further cause the system to estimate a filtered cardiac output by filtering one or more cardiac output estimates using a Kalman filter algorithm and output the filtered cardiac output to the display. At least one of the one or more cardiac output estimates is determined using the right ventricular pressure waveform of the patient or features extracted from the right ventricular pressure waveform of the patient.

This application proposes a method and apparatus for controlling the rotation speed of a ventricular assist device (VAD). The method includes: acquiring a first left ventricular pressure and a first right ventricular pressure, wherein the first left ventricular pressure is the left ventricular pressure of the target user at a first moment when the left ventricular assist device is running at a first left rotation speed, and the first right ventricular pressure is the right ventricular pressure of the target user at a first right rotation speed when the right ventricular assist device is running at a first right rotation speed; adjusting the first left rotation speed and / or the first right rotation speed according to the first left ventricular pressure and the first right ventricular pressure to maintain a balance between the fluid output of the left and right ventricles. This application determines whether the fluid output of the user's left and right ventricles is balanced by real-time detection of ventricular pressure, and then adjusts the rotation speed of the left ventricular assist device and / or the right ventricular assist device to regulate the fluid output of the left or right ventricle when there is an imbalance, thereby ensuring a balance between the systemic and pulmonary circulation flow of the user and preventing aspiration and regurgitation problems in the left or right ventricle.

This invention belongs to the field of medical device technology, specifically relating to a method and system for regulating the rotation speed of a ventricular assist device (LVAD) based on deep learning. The deep learning-based LVAD rotation speed regulation method includes: acquiring current left ventricular pressure and pump speed information; feeding the current pressure and pump speed information into a pre-trained long short-term memory (LSM) network model; obtaining the pump speed information to be regulated through the LSM network model; and sending the pump speed information to be regulated to the LVAD. This invention enables the human LVAD monitoring module to automatically adjust the pump speed according to hemodynamic changes, allowing for adaptive control of the LVAD for individual patients.

Methods and apparatus for an auxiliary monitor including a communication interface and at least one computer processor are described. The communication interface is configured to receive first data from a first patient monitoring device and second data from a second patient monitoring device, the first patient monitoring device including a heart pump, and the first data including an aortic pressure signal and a ventricular pressure signal measured during operation of the heart pump. The at least one computer processor is programmed to detect a timing of heartbeats in the aortic pressure signal and / or the ventricular pressure signal, determine a pulse pressure of the aortic pressure signal and / or the ventricular pressure signal within time windows associated with the timing of heartbeats, compare the determined pulse pressure against one or more metrics to identify one or more events, and output on a user interface, an indication of the one or more events.

This invention provides a modeling device and method for simulating myocardial ischemia-reperfusion injury in an isolated heart, applicable to the field of data processing. This application aims to model ischemia-reperfusion injury in an isolated heart. First, it collects multi-source core data, including samples, perfusion data, environmental data, and physiological monitoring. Utilizing an isothermal perfusion and oxygen partial pressure regulation system, it completes cardiac rewarming, cannulation, and stable perfusion, simultaneously monitoring key indicators such as heart rate, coronary blood flow, and ventricular pressure. Ischemia and reperfusion parameters are integrated to form a basic perfusion dataset. The dataset is hierarchically structured according to physiological indicators and environmental parameters, constructing ternary association nodes for samples, indicators, and parameters. A dynamic physiological association graph is generated through temporal matching and aggregation. Core features are extracted through injury assessment and temporal prediction, generating high-dimensional vectors. These vectors are imported into an adaptive engine for iterative optimization, combined with deviation visualization to form a basic modeling model, outputting modeling information applicable to simulating ischemia-reperfusion injury in an isolated heart.

The invention discloses a brain compliance monitoring method and a brain compliance monitoring device based on intracranial pressure difference, which are used for solving the problem of difficulty in monitoring brain tissue compliance (ICC) in the prior art. According to the method, the ventricular pressure (ICP-v) is obtained through the ventricular drainage tube (EVD), meanwhile, the frontal lobe brain tissue pressure (ICP-p) is measured through the brain parenchyma probe, and the reciprocal K of the difference value between the ventricular pressure (ICP-v) and the frontal lobe brain tissue pressure (ICP-p) is calculated to serve as a compliance index (K is larger than 0.5 and indicates that compliance becomes poor). The device comprises an EVD, a brain parenchyma probe, a pressure converter and a display screen, wherein the display screen can display ICP-v, ICP-p and K values in real time. Clinical verification shows that the method is high in consistency with a traditional intracranial pressure waveform method (the thickness consistency rate is 87.81%), operation is easy and convenient, numerical values are visual, the method is suitable for monitoring the compliance of brain tissue, and a new tool is provided for assessment of the craniocerebral compensatory ability.

The application relates to a ventricular pressure regulating device and a control method thereof. The ventricular pressure regulating device comprises: a balloon assembly, the balloon assembly comprising a balloon and a bandage, the bandage being used for fixing the balloon outside the ascending aorta, and the balloon being connected with an air pipe; a gas filling pump and a gas pumping pump, the gas filling pump being communicated with a gas filling tank, the gas pumping pump being communicated with a gas pumping tank, and the gas filling tank and the gas pumping tank being connected to the air pipe; and a control device, the control device being connected to the gas filling pump and the gas pumping pump, and being used for controlling the gas filling pump and the gas pumping pump to regulate the air pressure in the balloon. The application can greatly reduce the infection risk; the control device can control the gas filling pump and the gas pumping pump to regulate the air pressure in the balloon, the precision is better, and discomfort is not easily caused; and the gas filling tank and the gas pumping tank can buffer the gas filling and gas pumping, so that the gas filling pump and the gas pumping pump do not need to work all the time, and the technical problems of the high infection risk and the easy causing of discomfort in the related art are solved.

In some implementations, a method includes obtaining a set of time series ventricular pressure measurements; determining a set of data points comprising time rates of change of ventricular pressure from the time series ventricular pressure measurements; determining a representation indicative of a relationship between at least the set of data points and the time series ventricular pressure measurements; and determining a characteristic of blood flow within chambers of the heart at least in part by processing the representation. Related systems and articles of manufacture are also disclosed.

A system for determining a hemodynamic condition of a patient includes a first hemodynamic sensor and a display. The first hemodynamic sensor produces a first hemodynamic sensor signal representative of a right ventricular pressure waveform of the patient. The system further includes one or more processors and computer-readable memory encoded with instructions that, when executed by the one or more processors, cause the system to receive the first hemodynamic sensor signal, convert the right ventricular pressure waveform into an estimate of a waveform of blood flow, and extract features from the right ventricular pressure waveform. The instructions further cause the system to estimate a cardiac output of the patient based on the right ventricular pressure waveform or the features extracted from the right ventricular pressure waveform and output the waveform of blood flow and the cardiac output to the display.

The invention provides a left ventricular end diastolic pressure calculation method and device, computer equipment and a storage medium, and the method comprises the steps: collecting the current and outlet end pressure value of a catheter pump, and obtaining a cardiac pulse period, an inlet end pressure value, aortic valve opening time and aortic valve closing time; determining the diastolic time according to the cardiac pulse period, the aortic valve opening time and the aortic valve closing time; determining a current diastolic pressure value according to the outlet end pressure value; the minimum left ventricular pressure value is determined according to the inlet end pressure value; determining an isovolumetric relaxation time constant according to the inlet end pressure value and the aortic valve closing time; the isovolumetric contraction efficiency is determined according to the inlet end pressure value and the aortic valve opening time; based on the cardiac diastolic time, the current diastolic pressure value, the left ventricular pressure minimum value, the isovolumetric relaxation time constant and the isovolumetric systolic efficiency, the left ventricular end-diastolic pressure is obtained through calculation. According to the method, the left ventricular end diastolic pressure can be safely and accurately predicted.

A system for determining a global perfusion insufficiency index (GHI) includes an arterial blood pressure sensor, a ventricular blood pressure sensor, an oximetry module, and an integrated hardware unit including a system processor and a system memory. The system memory includes instructions that cause the system to receive arterial hemodynamic data, ventricular hemodynamic data, and oxyhemoglobin saturation data. One or more right ventricular pressure characteristics, one or more pulmonary arterial pressure characteristics, one or more cardiac output parameters, and one or more venous blood oxygen saturation parameters are derived from arterial hemodynamic data, ventricular hemodynamic data, and blood oxygen saturation data. GHI is derived using a predictive decision model based on one or more right ventricular pressure characteristics, one or more pulmonary artery characteristics, one or more cardiac output parameters, and one or more venous oxygen saturation parameters.

A system for determining a hemodynamic condition of a patient includes a first hemodynamic sensor and a display. The first hemodynamic sensor generates a first hemodynamic sensor signal representative of a right ventricular pressure waveform of the patient. The system also includes one or more processors and a computer-readable memory encoded with instructions that, when executed by the one or more processors, cause the system to receive the first hemodynamic sensor signal, convert the right ventricular pressure waveform to an estimate of a blood flow waveform, and transmit the blood flow waveform to the computer-readable memory. And extracting features from the right ventricular pressure waveform. The instructions also cause the system to estimate cardiac output of the patient based on the right ventricular pressure waveform or features extracted from the right ventricular pressure waveform and output the blood flow waveform and the cardiac output to the display.

A system and method are described that provides non-invasive detection and quantification of systolic and diastolic heart failure, including subclinical, asymptomatic systolic and diastolic heart failure. The invention is a novel method for processing physiological data and deriving clinical implications and prognosis. The invention is based on extracting data from simultaneous data streams of electrocardiogram, phonocardiogram, and left ventricular pressure to be graphically displayed in a Wiggers diagram that depicts the entire cardiac cycle.

A system for determining a patient's hemodynamic state includes a first hemodynamic sensor and a display. The first hemodynamic sensor generates a first hemodynamic sensor signal representing the patient's right ventricular pressure waveform. The system further includes one or more processors and a computer-readable memory in which instructions, when executed by one or more processors, cause the system to receive the first hemodynamic sensor signal, convert the right ventricular pressure waveform into an estimate of the blood flow waveform, and extract features from the right ventricular pressure waveform. The instructions further cause the system to estimate the patient's cardiac output based on the right ventricular pressure waveform or features extracted from the patient's right ventricular pressure waveform, and to output the blood flow waveform and cardiac output to the display.

A system for determining placement of a catheter in a patient includes a hemodynamic sensor and a display. The hemodynamic sensor generates a signal representative of a right ventricular pressure waveform of the patient. The catheter is connected to the hemodynamic sensor. The system also includes one or more processors and a computer readable memory encoded with instructions that, when executed by the one or more processors, cause the system to receive a signal representative of a right ventricular pressure waveform and extract a feature from the right ventricular pressure waveform. The instructions also cause the system to compare the feature to one or more ranges of values of the feature to determine that the catheter is properly placed, or that the catheter is not properly placed, not properly connected to the system, or has a signal quality problem, when the value of the feature is within the one or more ranges of values.