60 results about "Cardiac output" patented technology

Methods and systems are disclosed for creating and using a neural network model to estimate a cardiac parameter of a patient, and using the estimated parameter in providing blood pump support to improve patient cardiac performance and heart health. Particular adaptations include adjusting blood pump parameters and determining whether and how to increase or decrease support, or wean the patient from the blood pump altogether. The model is created based on neural network processing of data from a first patient set and includes measured hemodynamic and pump parameters compared to a cardiac parameter measured in situ, for example the left ventricular volume measured by millar (in animals) or inca (in human) catheter. After development of a model based on the first set of patients, the model is applied to a patient in a second set to estimate the cardiac parameter without use of an additional catheter or direct measurement.

A device for regulating blood pressure between a patient's left atrium and right atrium comprises an hourglass-shaped stent comprising a neck region and first and second flared end regions, the neck region disposed between the first and second end regions and configured to engage the fossa ovalis of the patient's atrial septum, and a drug-eluting biodegradable material that biodegrades over time to release a drug that limits tissue overgrowth. The inventive device also may include a biodegradable material that biodegrades to offset flow changes caused by tissue overgrowth. The inventive device may reduce left atrial pressure and left ventricular end diastolic pressure, and may increase cardiac output, increase ejection fraction, relieve pulmonary congestion, and lower pulmonary artery pressure, among other benefits.

A device for regulating blood pressure between a patient's left atrium and right atrium comprises an hourglass-shaped stent comprising a neck region and first and second flared end regions, the neck region disposed between the first and second end regions and configured to engage the fossa ovalis of the patient's atrial septum; and a one-way tissue valve coupled to the first flared end region and configured to shunt blood from the left atrium to the right atrium when blood pressure in the left atrium exceeds blood pressure in the right atrium. The inventive devices may reduce left atrial pressure and left ventricular end diastolic pressure, and may increase cardiac output, increase ejection fraction, relieve pulmonary congestion, and lower pulmonary artery pressure, among other benefits. The inventive devices may be used, for example, to treat subjects having heart failure, pulmonary congestion, or myocardial infarction, among other pathologies.

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.

Methods, apparatus, and systems are provided to control contraction of the heart. At least one sensing element receives signals indicating electrical activity of sinus rhythm of the heart. Based on the received signals, the progress of contraction of the heart is determined. Based on the progress of contraction, the chamber of the heart may then be stimulated at a plurality of locations. In another embodiment, a plurality of electrodes are implanted in the left ventricle to stimulate at multiple locations in the left ventricle for the purpose of improving hemodynamic performance and increasing cardiac output in a patient who is suffering from congestive heart failure.

Systems and apparatus are provided for using a non-invasively monitored uncalibrated pressure signal from a patient to compute cardiac output and other cardio-vascular parameters, thereby providing safe, effective, reliable and low cost monitoring of patient health. Wearable devices are disclosed that include a sensor array for obtaining patient data that is used to provide an estimate of aortic systolic blood pressure, cardiac output, and end-systolic elastance that may be determined without the need for a cuff.

The invention relates to the technical field of vital sign monitoring, and discloses a non-invasive vital sign monitoring system and method.The system comprises a basic vital sign monitoring module, an extended vital sign monitoring module, a hemodynamic monitoring module and a monitoring and early warning module; the basic vital sign monitoring module is used for monitoring breathing related indexes and stress indexes; an oxyhemoglobin saturation monitoring unit of the extended vital sign monitoring module is used for acquiring a PPG signal through a photoelectric volume sensor and monitoring oxyhemoglobin saturation according to the PPG signal; the hemodynamics monitoring module is used for carrying out cuff-free blood pressure monitoring on the basis of pulse transmission time delay and monitoring output quantity per stroke and cardiac output quantity according to the electrocardiogram signal, the PPG signal and the pulse transmission time delay; and the monitoring and early warning module is used for determining the comprehensive health index of the patient according to the monitoring data of the basic vital sign monitoring module, the extended vital sign monitoring module and the hemodynamics monitoring module, and carrying out prediction and early warning on the physiological state of the patient.

A system and method for predicting the Continuous Cardiac Output (CCO) of patients is disclosed. The method includes receiving a request from one or more patients and one or medical professionals and determining a set of recovery patterns of the one or more patients. The method further classifying the one or more patients into one or more predefined profiles and predicting the CCO of the one or more patients based on the request, the set of recovery patterns and result of classification using health management based AI model. Further, the method includes generating recommendations corresponding to the predicted CCO and outputting the predicted CCO of the one or more patients and the generated recommendations along with insights on user interface screen of electronic devices associated with the one or more patients and the one or more medical professionals, to take corrective actions in real time and future.

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.

The present application relates to the technical field of medical image monitoring, in particular to an intraoperative cerebral oxygen saturation image dynamic monitoring and early warning system and method for elderly patients, comprising a bilateral cerebral oxygen acquisition module, a cerebral oxygen waveform image construction module, a cerebral oxygen image feature extraction module, a hierarchical early warning module and a multi-parameter linkage display module, through the bilateral cerebral oxygen saturation time series signals output by the bilateral near-infrared cerebral oxygen saturation sensors are synthesized into a double-channel cerebral oxygen waveform image aligned with the same time window start and end time and sharing the amplitude scale, three types of geometric morphological features of bilateral cerebral oxygen slope, bilateral cerebral oxygen asymmetry index and relative baseline drop amplitude are uniformly extracted in the image domain, three types of high-risk mode hierarchical triggering of unilateral cerebral oxygen threshold persistence, relative baseline drop and bilateral asymmetry are driven, and the invasive arterial pressure, cardiac output, anesthesia depth index waveform and hemodynamic event characteristic root cause pairing display are jointly presented.

The invention relates to the technical field of vital sign detection, in particular to a method for processing an arterial blood pressure waveform signal through a residual neural network. Comprising the following steps: preprocessing an arterial blood pressure waveform signal and extracting a characteristic value; performing short-time Fourier transform on the arterial blood pressure waveform signals to generate amplitude and phase images of the signals in a time-frequency domain, and inputting the images and characteristic values into a residual neural network model to obtain predicted values of hemodynamic parameters including cardiac output and stroke output; and predicting the blood pressure trend in a certain time in the future by using the time sequence prediction capability of the residual neural network. According to the method, more accurate heart and displacement parameter prediction and more accurate hypotension event prediction are provided; in addition, uncertainty quantization of hypotension event prediction is also increased.

The application discloses a non-invasive continuous real-time blood pressure and hemodynamics and heart function integrated device and a data calculation method thereof, which comprises a signal acquisition module, a statistical and weighted calculation module, a communication module and a display module which are electrically connected with a main control board, wherein the signal acquisition module comprises an ECG and heart sound digitization detection module and a real-time continuous blood pressure and hemodynamics calculation module.The application has the beneficial effects that: the device combines the heart sound and ECG with the non-invasive hemodynamics acquisition device, and the blood pressure parameters obtained by the device are mutually calibrated, so that the device not only solves the problems of real-time continuous blood pressure and hemodynamics detection, but also synchronously outputs ECG parameters, heart sound logarithms, cardiac output, stroke volume, vascular resistance, cardiac contractility and other parameters.

The present invention relates to a device, system and method for monitoring of peripheral arterial perfusion of a subject. To enable distinguishing between low pulsatility caused by centralization or low cardiac output, the proposed device comprises an input (30) for receiving first detection data of a tissue region of a subject, said first detection data being acquired over time by detecting radiation reflected from and / or transmitted through tissue of the subject, and for receiving second detection data of a skin region of subject, said second detection data being acquired over time by detecting radiation received from said tissue region in response to coherent light being emitted towards said skin region, a PPG unit (32) for deriving a photoplethysmography, PPG, signal from said first detection data, a flow unit (34) for deriving, from said second detection data, a flow signal indicative of a flow of light scattering particles within the skin region, and an evaluation unit (36) for evaluating said PPG signal and said flow signal to obtain information on the peripheral arterial perfusion, wherein the evaluation unit is adapted to determine a state of low vascular compliance and / or a state of low cardiac output based on a combined evaluation of said PPG signal and said flow signal.

Methods, systems, and computer-readable medium for determining a systemic vascular resistance (SVR), by receiving a systolic blood pressure (SBP) and a diastolic blood pressure (DBP) from one or more blood pressure devices, receiving a first bioimpedance from a first electrode and a second bioimpedance from a second electrode, determining a stroke volume based on a difference between the first bioimpedance and the second bioimpedance, determining a mean arterial pressure (MAP) based on the SBP and the DBP, receiving a heart rate, determining a cardiac output based on the heart rate and the stroke volume, determining a first value based on a right atrial pressure (RAP) or central venous pressure (CVP) and the map, determining a second value based on the first value and the cardiac output, and determining a SVR based on the second value and a factor.

This invention relates to a method and apparatus for quantitatively assessing left ventricular outflow tract obstruction and aortic stenosis. The method includes acquiring the outflow tract pressure gradient and cardiac output; determining the relationship between cardiac output and outflow tract pressure gradient using Bernoulli's equation; calculating the cardiac obstruction coefficient based on the equation; the cardiac obstruction coefficient includes the cardiac obstruction coefficient from the left ventricular cavity to the outflow tract segment and the cardiac obstruction coefficient from the outflow tract to the ascending aorta; and assessing the patient's obstruction status based on the cardiac obstruction coefficient. The cardiac obstruction coefficient calculated by this invention is mainly determined by the morphology of the patient's blood flow cavity and is not affected by cardiac output, thus providing a more accurate description of the patient's obstruction status. This helps physicians make more accurate clinical judgments.

The invention belongs to the technical field of medical instruments, and provides a control module and device for dynamic blood flow regulation of a left ventricular assist device.A processor in the control module circularly executes the steps that motion data, the current heart rate and the current blood pressure of a patient and the actual blood flow in a blood pump blood flow channel are obtained; extracting motion features from the motion data of the patient, and inputting the motion features to a motion classification model to obtain a motion mode; determining a motion intensity index of the patient based on the motion pattern and the current heart rate; using a first flow model to obtain a basic blood flow based on the exercise intensity index of the patient; obtaining a target blood flow based on the current heart rate, the current blood pressure and the basic blood flow of the patient by using a flow correction model; and determining a target driving current of a stator coil of the blood pump based on the actual blood flow and the target blood flow by adopting a preset control algorithm. The pump speed is automatically adjusted according to the activity state (such as movement and sleep) of the patient, so that cardiac output supports adaptation to the patient.

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.

This application relates to thermodilution injection fluid measurement and control. Apparatus and methods for measuring, controlling (or both) the thermodilution injection fluid flow rate used to calculate a thermodilution pulmonary parameter. An injection fluid delivery system includes a syringe for containing injection fluid and a delivery tube configured at one end to connect to a catheter. A flow measurement device is inserted into the delivery tube to generate a signal used to determine the flow rate of fluid from the syringe to the catheter. A processor receives the signal from the flow measurement device and calculates the injection fluid volume to be used as an input for calculating a thermodilution pulmonary parameter such as cardiac output. A GUI is provided to guide the user as to whether the injection rate is too fast or too slow. The system can include a constant flow valve to provide a constant flow rate from the syringe rather than measuring or calculating the flow rate.

A system for calculating cardiac output of a patient on an extracorporeal blood oxygenation circuit, such as veno-venous extracorporeal membrane oxygenation, includes determining (i) a first arterial carbon dioxide content or surrogate and (ii) a first carbon dioxide content or surrogate in the blood delivered to the patient after passing the oxygenator corresponding to the first removal rate of carbon dioxide from the blood; establishing a second removal rate of carbon dioxide from the blood in the oxygenator in the extracorporeal blood oxygenation circuit; determining (i) a second arterial carbon dioxide content or surrogate and (ii) a second carbon dioxide content or surrogate in the blood delivered to the patient after passing the oxygenator corresponding to the second removal rate of carbon dioxide from the blood; and calculating a cardiac output of the patient corresponding to a blood flow rate through the extracorporeal blood oxygenation circuit, the first arterial carbon dioxide content or surrogate, the first carbon dioxide content or surrogate in the blood delivered to the patient after passing the oxygenator corresponding to the first removal rate of carbon dioxide from the blood; the second arterial carbon dioxide content or surrogate and the second carbon dioxide content or surrogate in the blood delivered to the patient after passing the oxygenator corresponding to the second removal rate of carbon dioxide from the blood.

An apparatus (1) for ex-vivo measurement of performance of a donor heart (2) has a heart holder (6) in a receptacle (7) for holding a human donor heart and a bag (17) for placement into a left ventricle of the heart. The bag has a bag interior space communicating with an interior space of a fluid tight, compressible and expandable container (19. The apparatus further includes a sensor (21) for measuring compression and expansion of the container. Using the apparatus, cardiac output can be measured by measuring expansion and contraction of the container. A method for ex-vivo measurement of performance of a donor heart is also described. The method may include controlling the preload and / or the afterload.

The invention discloses a perioperative individualized optimal cardiac discharge volume accurate evaluation and intraoperative management optimization method, and belongs to the technical field of hemodynamic monitoring and management, and the method comprises the following steps: S1, adopting a multi-modal monitoring technology to carry out multi-physiological parameter acquisition on a patient meeting a group entering condition, and preprocessing the multi-physiological parameter acquisition; s2, analyzing the preprocessed data in ICM + software, and calculating threshold values of personalized parameters, including a parameter lower limit, a parameter optimal value and a parameter upper limit; s3, calculating a low perfusion degree and an over-perfusion degree; s4, analyzing the relationship between perfusion conditions corresponding to different parameter thresholds and different postoperative complications; according to the perioperative individual optimal cardiac discharge volume accurate evaluation and intraoperative management optimization method provided by the invention, an appropriate threshold value of a real-time hemodynamic management target parameter can be calculated in a short time by utilizing intraoperative data, a real-time calculation result is fed back, a doctor is reminded to pay attention to the condition change of a patient in time, and intervention is carried out when necessary.

The application discloses a model-driven arterial hemodynamics measurement method and device, equipment and a computer readable storage medium, and the method comprises the following steps: collecting arterial blood pressure waveform time series data in a preset cardiac cycle; inputting the arterial blood pressure waveform time series data into a preset aortic hemodynamics coupling model to obtain aortic hemodynamics waveform characteristic parameters; and determining cardiac output according to the aortic hemodynamics waveform characteristic parameters; wherein the preset aortic hemodynamics coupling model is formed by coupling a one-dimensional blood flow dynamics model simulating aortic blood vessel transmission characteristics and a zero-dimensional multi-elastic cavity model simulating peripheral arterial circulation impedance characteristics. The one-dimensional model in the coupling model can accurately depict the blood flow in the aorta and the pulse wave propagation and reflection phenomenon, and realize high-precision solution of blood pressure, flow velocity and flow waveform; the zero-dimensional model simulates the blood flow process of the peripheral artery and serves as a boundary condition of the one-dimensional model, so that the overall blood flow simulation is more in line with the real physiological state.

An apparatus and method for estimating one or more hemodynamic parameters (e.g., cardiac output or stroke volume). Embodiments are based on the idea of incorporating information about vascular tone into hemodynamic parameter estimation to improve accuracy. More specifically, embodiments use measurements of the duration of travel of a blood pulse from the heart along a particular length of an arterial path as a proxy measure for vascular tone and incorporate it into hemodynamic parameter estimation. Embodiments also account for changes in vascular tone between different parts of the circulatory system based on incorporating vascular tone proxy measurements for multiple different arterial paths.

The application provides a kind of ventricular assist device control device, method, ventricular assist system and electronic equipment, it is related to the field of medical instrument control.The control device includes: timing judgment module, characteristic flow calculation module and motor control module;Timing judgment module is used to divide target cardiac cycle into systolic phase and diastolic phase;Characteristic flow calculation module is used to divide the real-time flow of ventricular assist device in target cardiac cycle into systolic flow in systolic phase and / or diastolic flow in diastolic phase, and calculate the characteristic cardiac output of ventricular assist device in target cardiac cycle according to systolic flow and diastolic flow;Motor control module is used to adjust motor speed.Using the control device provided by the embodiment of the application can make the cardiac output of ventricular assist device more in line with the physiological law of heart, realize the stable control of cardiac output.

Compositions for improving heart function in a subject include optically pure S-beta-hydroxybutyrate or non-racemic mixtures enriched with the S-enantiomer. S-beta-hydroxybutyrate in pure or enriched form provides energy to the heart, provides antiglycation and signaling, which lessens or reduces cardiovascular disease by lessening or preventing atherosclerosis, plaque formation, diastolic dysfunction, systolic dysfunction, fibrosis, and hypertension, and / or by facilitating normal nitric oxide (NO) production, which dilates the arteries, reduces blood pressure and systemic vascular resistance, and increases cardiac output in humans. S-Beta-hydroxybutyric acid is more rapidly absorbed and utilized by the body than salts or esters. S-Beta-hydroxybutyrate salts are more slowly absorbed and utilized by the body and provide one or more electrolytes. S-Beta-hydroxybutyrate esters provide more controlled release without adding electrolytes. Compositions for improving heart function may contain a dietetically or pharmaceutically acceptable carrier and S-beta-hydroxybutyrate or non-racemic mixture enriched with S-beta-hydroxybutyrate.

The invention relates to the technical field of medical monitoring, in particular to a post-anesthesia multi-mode heart blood supply monitoring system and a post-anesthesia multi-mode heart blood supply monitoring method which are used for solving the problems that existing post-anesthesia heart blood supply monitoring is single in mode, low in accuracy, lagged in intervention and the like. The system comprises a multi-mode sensing module, a data preprocessing module, a fusion analysis module, a display early warning module and a feedback regulation module which are electrically connected in sequence, multi-source signals such as myocardial blood oxygen and cardiac output are collected through multiple sensors, through ANC algorithm and Butterworth filtering preprocessing, a CNN-LSTM model is used for fusion analysis and early warning grade division, and the early warning system is used for early warning. And the feedback module is linked with the drug delivery system to realize graded automatic intervention. The method comprises seven steps of preoperative preparation, signal acquisition, preprocessing, fusion analysis, display early warning, feedback intervention and postoperative monitoring, and personalized monitoring is realized in combination with a preoperative baseline. According to the invention, non-invasive, real-time and accurate monitoring is realized, the anomaly detection accuracy is high, a monitoring-intervention closed loop is formed, the occurrence rate of postoperative cardiac complications is reduced, and the intelligence and safety of post-anesthesia nursing are improved.

Methods and systems are disclosed for creating and using a neural network model to estimate a cardiac parameter of a patient, and using the estimated parameter in providing blood pump support to improve patient cardiac performance and heart health. Particular adaptations include adjusting blood pump parameters and determining whether and how to increase or decrease support, or wean the patient from the blood pump altogether. The model is created based on neural network processing of data from a first patient set and includes measured hemodynamic and pump parameters compared to a cardiac parameter measured in situ, for example the left ventricular volume measured by millar (in animals) or inca (in human) catheter. After development of a model based on the first set of patients, the model is applied to a patient in a second set to estimate the cardiac parameter without use of an additional catheter or direct measurement.

The invention provides an in-aorta balloon counterpulsation system control method based on hemodynamics, and relates to the technical field of medical system control. According to the method provided by the invention, hemodynamic monitoring signals of a target user are obtained in real time, wherein the hemodynamic monitoring signals comprise the total heart end diastole volume, the rate of variation per stroke, extravascular lung water, the heart index and the cardiac output; based on a pre-trained neural network model, determining heart indexes corresponding to multiple moments of the target user in a future time period according to the hemodynamic monitoring signal; and under the condition that the heart index corresponding to the first moment of the target user is smaller than a first threshold value, generating a first request, and in response to an input confirmation operation on the first request, starting the intra-aortic balloon counterpulsation system at the first moment. According to the method provided by the invention, the start and stop of the balloon counterpulsation system in the aorta can be accurately controlled, and the processing efficiency and accuracy are improved.

The disclosed concepts are directed to providing protocols, ideas, concepts, designs, methods and systems related to determining vascular compliance of a subject. In particular, blood pressure and arterial flow of first and second arteries (corresponding arteries on the same or contralateral limb) are measured (e.g., as a function of arterial diameter and / or velocity at which blood travels through the arteries). The pulse pressure can be determined from the blood pressure and the pulse quantity can be determined from the arterial flow. Vascular compliance can be determined from the pulse pressure and the volumetric pressure. Therefore, a direct and accurate vascular compliance estimation result can be obtained in a non-invasive manner. Also disclosed is using the determined vascular compliance in a transfer function to obtain accurate hemodynamic parameter estimates (e.g., cardiac output and stroke output) of a subject.

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.