51 results about "Cardiac cycle" patented technology

Devices, systems and methods are provided for treating target tissue with pulsed electric field energy in a manner that does not induce cardiac arrhythmias such as fibrillation of the heart and therefore negates any need for cardiac synchronization of energy delivery. Cardiac synchronization is typically employed to avoid delivering energy during portions of the cardiac cycle that are vulnerable to inducing fibrillation. Thus, herein parameters are manipulated to reduce the probability of inducing an arrhythmia. Typically, high voltage energy can trigger a premature action potential within the cardiac muscle as the delivered energy increases the cardiac muscle cell membrane permeability allowing ion transport, which can induce cardiac arrhythmias, especially ventricular fibrillation. However, both shorter pulse durations (i.e. higher frequencies such as 100-600 kHz) and biphasic waveform shapes theoretically and practically reduce the probability of inducing an arrhythmia.

Implantable medical devices and methods that utilize a sensing circuit to sense cardiac activity (CA) signals and an accelerometer to obtain accelerometer data. Memory stores program instructions and device parameters associated with a collection of ventricular arrhythmia (VA) therapies. A processor analyzes the CA signals over one or more cardiac beats, determines a VA episode based on the analysis of the CA signals, determines the VA episode to be hemodynamically stable or unstable based on at least one of the accelerometer data or the CA signals, selects a first VA therapy from the collection of VA therapies based on whether the VA episode is hemodynamically stable or unstable, and apply the first VA therapy using at least one of the at least two coils.

The application relates to a magnetic resonance imaging method, device, computer equipment, storage medium and computer program product. The method comprises the following steps: in a first cardiac cycle, a characteristic electrocardio signal of a detection object is identified, a first sequence pulse is applied to the detection object after a preset delay time of identifying the characteristic electrocardio signal, and the first sequence pulse is used for reversing a longitudinal magnetization vector of the detection object; after the first sequence pulse is applied, a second sequence pulse of a target phase mode is applied to the detection object after a recovery time, and an initial cardiac imaging set is acquired, wherein the target phase mode is one of at least two different phase modes, and different target phase modes correspond to different positions of artifacts in the initial cardiac imaging sets; and the initial cardiac imaging sets obtained in each first cardiac cycle are subjected to first registration processing to obtain a cardiac imaging. The method can effectively weaken the artifacts in cardiac delayed enhancement imaging, and does not increase additional operations and additional scanning time.

This invention discloses a non-contact electrocardiogram (ECG) measurement method using millimeter-wave radar. First, the original chest wall displacement signal acquired by the millimeter-wave radar is preprocessed to obtain a displacement feature branch input. Then, the original displacement signal undergoes cardiac sound band enhancement, wavelet denoising, and envelope extraction to obtain radar cardiac sound features. A hidden semi-Markov model is constructed to model the states of the first heart sound, systole, second heart sound, and diastole in the cardiac cycle, obtaining the posterior probability of the state at each time point. Next, the displacement features, radar cardiac sound features, and state probability features are input into a multi-branch convolutional fusion network, combined with a bidirectional long short-term memory network to achieve temporal correlation modeling, finally outputting the reconstructed human ECG result. This invention achieves non-contact ECG measurement without skin electrode contact by fusing the original mechanical displacement of the chest wall, the mechanical vibration features of the heart sounds, and the explicit state prior information of the cardiac cycle.

The present application relates to a kind of cardiac magnetic resonance longitudinal relaxation time measurement method, medium and equipment.The measurement method includes the following steps: S1 uses MOLLI sequence respectively before and after scanning contrast;Specifically, in the before and after scanning contrast, by setting different initial inversion time TI, setting 3 groups of LL experiment LL1, LL2, LL3 triggered by continuous ECG, enough relaxation curve sampling points are obtained after fusion;And data is collected at the end of diastole of cardiac cycle, and 1 image is obtained per heartbeat;S2 image processing.This measurement method can realize single-pixel high-resolution T1 mapping under the breath holding of selection data acquisition and multi-LL experiment data fusion, give consideration to high accuracy, high resolution and high efficiency, and have good compatibility and practicality, provide new scheme for early diagnosis of heart disease, lesion quantification and prognosis evaluation, have wide clinical application prospect.

The application discloses a blood pressure detection system control method, equipment and storage medium, and belongs to the technical field of blood pressure detection. The method comprises the following steps: performing multi-modal decomposition on a to-be-detected physiological signal to form a space-time input matrix, inputting the space-time input matrix into a space-time fusion model, calculating the attention weights between channels in the space-time input matrix through a space encoder, performing weighted aggregation on channel features based on the attention weights to obtain a feature sequence, identifying long-range time sequence dependence in the feature sequence through a time sequence encoder to obtain a space-time fusion feature vector, and performing regression mapping on the space-time fusion feature vector through a multi-task output layer to output blood pressure detection data. The application adaptively enhances the signal components related to blood pressure through a space-time encoder, and suppresses noise interference. Meanwhile, based on the multi-task output layer, the robustness to posture changes and breathing interference is improved, and the accuracy of blood pressure detection is improved.

Systems and methods are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The system may include sensors to determine the degree of occlusion of the superior vena cava. The occlusion system may be used to reduce volume in a heart and facilitate a cardiac procedure. The occlusion system may be used to relieve an overloaded chamber during and / or after deploying a VAD.

This invention discloses a method and system for effectively reducing X-ray radiation dose during electrocardiogram (ECG) scanning, relating to the field of artificial intelligence technology. The method includes: acquiring real-time ECG signals of the subject, identifying the R-wave and its occurrence time, and calculating the RR interval between adjacent R-waves; dividing the subject's cardiac cycle based on the RR interval and the R-wave occurrence time, and determining the intense cardiac motion phase and diastolic phase of each cardiac cycle; during the intense cardiac motion phase, controlling the X-ray tube mA value to decrease to a dose reduction mA value below the source mA value; when the current time enters the diastolic phase, controlling the X-ray tube mA value to recover from the dose reduction mA value back to the source mA value; after determining that the X-ray tube mA value has recovered and stabilized at the source mA value, a trigger signal is activated, and the acquisition of projection data is initiated based on the trigger signal. This method helps solve the problem that existing technologies cannot effectively reduce X-ray radiation dose during ECG scanning.

This invention discloses a method and apparatus for heart sound segmentation based on a Hidden Markov Model (HMM) cardiac cycle. The method involves: extracting the signal envelope from the heart sound signal using Hilbert's algorithm; obtaining the peak positions of the first heart sound (S1) and the second heart sound (S2) after Hilbert envelope extraction based on preset baselines for different leads; locating the peaks based on the cardiac cycle; extracting the diastolic phase based on an improved HMM; locating the optimal time span of heart sound signals S1 and S2 using an improved Viterbi algorithm; and segmenting the original heart sound signal using the time span and the peak positions of S1 and S2. This invention employs an improved HMM and an improved Viterbi forward algorithm to calculate the duration of heart sound intervals S1 and S2, combined with the cardiac cycle, to accurately locate the peak positions of heart sound intervals, thus improving the performance of heart sound segmentation.

The present application relates to the technical field of artificial intelligence, and in particular to a cardiovascular health risk prediction method and device, equipment and medium. In the present application, the phase encoding feature is embedded into the electrocardiogram encoding feature and the heart sound encoding feature to obtain the enhanced electrocardiogram feature and the enhanced heart sound feature, realizing the time sequence alignment enhancement of the phase information to the electrocardiogram signal and the heart sound signal. The embedding mechanism enables the model to explicitly perceive the relative time sequence position relationship of the electrocardiogram signal and the heart sound signal in the cardiac cycle, and strengthens the correlation expression of different modal signals at the same phase moment. The enhanced electrocardiogram feature and the enhanced heart sound feature are fused along the feature dimension, providing rich multi-modal representation basis for accurate prediction of cardiovascular health risk. Based on the fused features, the cardiovascular health risk is predicted, which can fully utilize the complementary information of the electrocardiogram signal and the heart sound signal, and significantly improve the accuracy of the cardiovascular health risk prediction.

Objective tinnitus detection uses cycle-locked signal segmentation and coherent averaging. A tinnitus-related signal is acquired from a subject, and cycle markers corresponding to a repeating physiological cycle (e.g., cardiac cycle) are obtained. The acquired signal is segmented based on the cycle markers, aligned to a reference phase, and coherently averaged to enhance the signal-to-noise ratio of tinnitus-related components. In self-gating embodiments, cycle markers are derived from the acquired signal itself by detecting periodicity through autocorrelation or spectral analysis, allowing single-sensor operation. Spectral analysis of the enhanced waveform enables characterization of tinnitus etiology, including indicators of vascular stenosis. Comparison of pre-treatment and post-treatment measurements provides objective treatment efficacy monitoring. Systems implementing these methods range from clinical multi-modal configurations to simplified mobile single-sensor devices.

The application discloses a left ventricular myocardium curved surface registration method based on two-dimensional parameter domain mapping. The method comprises the following steps: segmenting and reconstructing a dynamic three-dimensional curved surface sequence of left ventricular myocardium from a cardiac magnetic resonance short-axis image sequence, and then performing standardization processing on the dynamic three-dimensional curved surface sequence to obtain a target curved surface model; mapping a key frame curved surface in the target curved surface model to a pre-defined two-dimensional parameter domain to obtain global deformation parameters; and mapping the remaining frames of the target curved surface model in the whole cardiac cycle to the two-dimensional parameter domain according to the global deformation parameters. The method drives the mapping process of the whole sequence by using the global deformation parameters of a key frame curved surface, can establish stable space-time vertex corresponding relationships for the curved surfaces of all time frames on the two-dimensional parameter domain, realizes time sequence alignment of the curved surface sequence in the whole cardiac cycle and normalized registration of myocardium shapes among different cases, can effectively solve problems such as large shape difference among individuals and unclear characteristics, and realizes accurate registration of left ventricular myocardium curved surfaces.

A medical aspiration system (70) is configured to control medical aspiration based on a cardiac cycle of a patient. For example, the medical aspiration system (70) can include: a suction source (19) configured to apply a suction force to a catheter (12) to remove fluid from the catheter (12); and a control circuit (72) configured to control the suction force applied by the suction source (19) to the catheter (12) based on a cardiac cycle of a patient.

The present invention relates to a computer-implemented method for quantifying blood- flow stagnation in a heart of a subject comprises receiving medical imaging data representing heart geometry, identifying anatomically distinct cardiac components, and determining component-specific intracardiac motion over a cardiac cycle from the 5 imaging data. A time-dependent intracardiac fluid-flow field is then determined based on the motion data, and a blood-flow stagnation value is computed as a physical quantity derived from the fluid-flow field, including at least one of a residence-time, wash-out, recirculation, low-velocity indicator, or passive-scalar transport metric. The stagnation value represents slow or recirculating blood flow in one or more identified 10 components and is provided as an output, optionally as a component-wise map or spatial distribution.

Provided in the present application are a biomagnetic signal-based four-dimensional cardiac function imaging method and device. The method comprises: acquiring a cardiac magnetic signal of a subject to be tested and dynamic structure information of a target torso part within a full cardiac cycle, wherein the target torso part at least comprises two lungs, a torso, and a heart chamber and a pericardium structure thereof, and the dynamic structure information comprises a contour structure and a plurality of frames of dynamic images; performing spatial registration on the dynamic structure information and a sensor acquiring the cardiac magnetic signal to obtain coordinates of the sensor in a coordinate system of the dynamic structure information; calculating and reconstructing a cardiac electrical excitation activity based on the dynamic structure information, the coordinates of the sensor, and the cardiac magnetic signal to obtain a calculation and reconstruction result; and converting the calculation and reconstruction result into a four-dimensional visualization image.

Monitoring device and monitoring method, a monitoring device comprises an SMI sensor and a processing unit. The SMI sensor comprises a laser diode adapted to illuminate a point on the surface of a person's eyeball with a laser beam. The SMI sensor is capable of capturing a time resolved signal indicative of the displacement of the point. The processing unit is adapted to derive at least one parameter of the person's cardiac cycle from the time resolved signal. (Fig. 1)15.

The application provides a contrast image coronary artery segmentation method, an electronic device, a processing system and a storage medium. The method comprises the following steps: grouping multiple cardiovascular angiography images of a preset cardiac cycle to obtain multiple cardiovascular angiography image segments; calculating a first key-value structure, a third key-value structure of each cardiovascular angiography image segment and a second key-value structure of a corresponding memory angiography image segment; extracting a target coronary artery feature value of each cardiovascular angiography image segment according to each first key-value structure, a corresponding second key-value structure and a given coronary artery feature value of the corresponding memory angiography image segment; performing coronary artery feature refinement extraction according to each third key-value structure and a corresponding target coronary artery feature value to obtain a refined coronary artery feature value of each cardiovascular angiography image segment; and decoding each refined coronary artery feature value to obtain a coronary artery segmentation result of each cardiovascular angiography image segment. The application can improve the accuracy of cardiovascular angiography image coronary artery segmentation.

A system (100) for assessing a blood vessel (260) of a patient includes a memory (151) storing instructions and a processor (153) executing the instructions. The instructions, when executed by the processor (153), cause the system (100) to receive pressure measurements obtained by a first intravascular pressure sensing instrument (160) and a second intravascular pressure sensing instrument (170) during a cardiac cycle of the patient; identify a diagnostic time window (1006) of the pressure measurements based on the pressure measurements of the blood vessel (260) of the patient during the cardiac cycle; and calculate an index based on pressure measurements within the diagnostic time window (1006).

An implantable medical device implantable in a human or animal heart that carries out the following steps during its operation: a) continuously detecting a cardiac electric signal; b) starting a coagulation timer if the detected cardiac electric signal is indicative for an atrial tachycardia; c) keeping the coagulation timer active during a temporary loss of the cardiac electric signal; and d) stopping the coagulation timer, if the following criteria are fulfilled: i) an amplitude of the cardiac electric signal of a plurality of cardiac intervals being close in time exceeds a presettable significance threshold, and ii) an atrial rate calculated from the plurality of cardiac intervals being close in time is below a predefinable threshold rate indicative for atrial tachycardia, or e) keeping the coagulation timer active for a predefined time period, if the criteria are not fulfilled.

The application discloses a novel OCT space reconstruction method, which comprises the following steps: acquiring multiple coronary angiography image data at different angles; extracting coronary angiography images at the same moment in different cardiac cycles from the coronary angiography image data acquired at each angle; extracting a blood vessel skeleton according to the coronary angiography images; in the process of extracting the blood vessel skeleton, the coronary angiography images at different angles are included; multi-view stereo matching is performed by using deep learning, and matching correction is performed by using an epipolar geometry algorithm; a three-dimensional blood vessel skeleton is acquired according to the coronary angiography images after the matching correction; coronary OCT sequence images are acquired, and rearrangement is performed in combination with the direction of the three-dimensional blood vessel skeleton; body rendering is performed on the rearranged images, and a three-dimensional space model with a real posture is rendered. The method realizes prediction of invisible parts and guarantees the correctness of three-dimensional reconstruction of visible parts, and provides a data basis for screening of vascular deformity and the like in the later stage.

The application provides a kind of multichannel magnetocardiogram signal automatic noise reduction superposition processing method and device, method includes: obtaining the initial detection data of magnetocardiogram signal;The initial detection data is independently component decomposition, obtains N independent components, wherein, at least one target magnetocardiogram signal component and multiple noise components are included in N independent components;The N independent components are screened, and the noise component screened out is removed;The screened independent component is divided into cardiac cycle, and the segmented period is superimposed;The application can realize the automatic identification of non-magnetocardiogram signal component in the independent component decomposed by ICA, and can automatically pick up the R peak in cardiac cycle, and the full channel data is automatically divided into cardiac cycle and superimposed, to effectively reduce the experience dependence of data processing, shorten processing time, further promote the clinical application of magnetocardiogram.

A monitoring device comprises a SMI sensor and a processing unit. The SMI sensor includes a laser diode configured to emit a laser beam onto a point on the surface of a person's eyeball. The SMI sensor is capable of detecting a time-resolved signal indicating a displacement of the point. The processing unit is configured to derive at least one parameter of the person's cardiac cycle from the time-resolved signal.

A system for treating atrial dysfunction, including heart failure and / or atrial fibrillation, that includes one or more pressurizing elements and control circuitry. The one or more pressurizing elements can comprise one or more balloons and can be configured to be positioned in the left atrium, and optionally the pulmonary artery, of a patient's heart. The one or more pressurizing elements can be coupled to one or more positioning structures that can be configured to position the one or more pressurizing elements in the left atrium, and optionally the pulmonary artery. The control circuitry can be configured to operate the one or more pressurizing elements to decrease or increase pressure and / or volume in the left atrium, and optionally the pulmonary artery, in accordance with different phases of the cardiac cycle. The control circuitry can be further configured to operate the one or more pressurizing elements to generate coordinated pressure modifications in the left atrium, and optionally the pulmonary artery.

The application discloses a kind of ventricular assist control equipment monitoring method, device, equipment, storage medium and program product.Belong to the technical field of medical equipment, the method comprises: obtaining the actual electrocardiogram data of target patient within a preset time length, the target patient is the patient using blood pump motor, and the preset time length includes at least one cardiac cycle;Actual electrocardiogram data is extracted in time domain characteristics, and the current change rate and current similarity under every two different cardiac cycles are obtained;Actual electrocardiogram data is extracted in frequency domain characteristics, and the center point frequency of each cardiac cycle is obtained;Based on the current change rate, current similarity and center point frequency, the state of the blood pump motor is monitored, and a monitoring result is obtained.According to the embodiments of the application, the accuracy and reliability of the blood pump motor operating state monitoring can be improved.

This invention discloses a multifunctional non-contact three-dimensional cardiac electrophysiological mapping system based on intracardiac ultrasound (ICE), comprising an ICE system, an ultrasound host, an ECG signal acquisition system, and a three-dimensional spatial positioning system. By adjusting the position and imaging angle of the ICE probe, it continuously acquires cardiac ultrasound signals, as well as heartbeat and respiratory signals, to synchronously acquire ultrasound signals at different cardiac cycles. Cross-correlation calculations are performed on the continuous ultrasound signals acquired at various spatial locations to obtain the three-dimensional cardiac excitation conduction sequence and maximum amplitude distribution within a cardiac cycle. This system can perform both intracardiac ultrasound imaging and non-contact three-dimensional electrophysiological mapping, reducing the use of catheters and medical costs in traditional contact electrophysiological interventional procedures, simplifying surgical operations, and improving surgical safety. Furthermore, it can simultaneously map the endocardium, intramyocardium, and epicardium, enabling more precise surgical planning and possessing significant clinical value.

A method for coronary road mapping may include receiving a current image associated with a medical scan, determining an image that matches the current image from a sequence of images for which respective blood vessel maps have been determined, and overlaying the current image with the blood vessel map associated with the matching image. The sequence of images may be captured when a contrast agent was present, and the matching image may be identified in response to determining that the physiological phase (e.g., cardiac cycle) and / or view depicted by the image match those depicted by the current image. Motion compensation may be performed as part of the blood vessel overlay, which may enable better visualization of blood vessels and medical device(s) (e.g., a catheter) placed in the blood vessels even when the contrast agent is worn out.

Aspects of the present disclosure relate to the combination and display of live and non-live patient images. Described features include: collecting angiogram image data; and correlating angiogram image frames to time-varying data related to a patient's cardiac cycle. This time-varying data can then be compared to live cardiac cycle data of the patient, such that the collected angiogram image frames can be interleaved within a display of live fluoroscopy images of the patient.

This invention discloses a non-sensory assessment system for driver fatigue based on heart rate variability. The system includes a multimodal sensing acquisition module, a kinematic physics decoupling module, a generative adversarial network (GAN) anti-artifact reconstruction module, an attention extremum point locking module, and a graph network multidimensional state mapping module. The system simultaneously acquires human cardiopulmonary micro-vibration signals, a two-dimensional matrix of body pressure distribution, and three-dimensional aliased angular velocity signals; it maps the extracted body pressure features to a viscoelastic transfer function matrix and performs vector space difference calculation to output a physical space decoupling signal; it uses the physical space decoupling signal as a spatial constraint condition for a conditional generative adversarial network to reconstruct and output a high-fidelity impact map sequence; it utilizes a multi-scale attention mechanism to lock peaks, construct a discrete sequence of cardiac cycles, and extract heart rate variability feature parameters; it combines body pressure features to construct a nonlinear topological graph data structure and performs graph convolution operations to output a multidimensional health assessment map.

The application discloses a wearable intelligent ultrasonic system for dynamically monitoring deep blood vessels, and relates to the technical field of intelligent wearable devices. The system acquires an initial image in an initial monitoring mode through an ultrasonic sensing module; a central processing module automatically identifies and locates the deep blood vessels in the image, analyzes the dynamic motion trajectory of the deep blood vessels with the breathing and heart cycle, switches a secondary monitoring mode according to the dynamic motion trajectory, activates a matched ultrasonic array element to perform directional signal acquisition, synchronously acquires the structure and hemodynamic echo signals of the blood vessels, generates target data containing quantitative parameters and a dynamic tracking image fused with the motion trajectory, and transmits the data and the image to a data analysis module after encryption and compression. The data analysis module extracts features and compares them with medical reference thresholds to realize abnormality detection and early warning. The system realizes long-term dynamic monitoring of deep blood vessels in an automatic, accurate and low-power consumption manner.