365 results about "Cardiac cycle" patented technology

The invention provides a four-dimensional cardiac function imaging method and device based on a biological magnetic signal. The method comprises the following steps: acquiring a magnetocardiogram signal of a to-be-detected object and dynamic structure information of a target trunk part in a full cardiac cycle; wherein the target trunk part at least comprises double lungs, a trunk, a heart cavity of the trunk and a pericardium structure, and the dynamic structure information comprises a contour structure and a multi-frame dynamic image; performing spatial registration on the dynamic structure information and the sensor for acquiring the magnetocardiogram signal to obtain coordinates of the sensor in a coordinate system of the dynamic structure information; according to the dynamic structure information, the coordinate of the sensor and the magnetocardiogram signal, calculating and reconstructing cardiac electrical excitation activity to obtain a calculation and reconstruction result; and converting the calculation reconstruction result into a four-dimensional visual image. According to the method, heart magnetic imaging and heart movement are combined, on the basis of obtained dynamic structure information and heart magnetic signals, the characteristics of biological magnetic signals are fully utilized, and the signal processing technology is integrated through space registration, so that accurate reconstruction of four-dimensional representation of the heart and visual display of functional activities are realized; therefore, the obtained four-dimensional visual image can completely represent the dynamic electrophysiological activities of the whole heart (including epicardium, endocardium and intrawall tissues) in a cardiac cycle, and a technical scheme with different concepts is provided for non-invasive imaging of cardiac electrical excitation activities.

The invention discloses a vascular access lesion recognition method and system based on target detection, and relates to the technical field of medical image processing, and the method comprises the steps: carrying out the cardiac cycle phase division according to an electrocardiogram signal, calculating a displacement vector field between adjacent frames of a blood vessel DSA image sequence, constructing a motion compensation model, and generating a stable DSA sequence; segmenting the stable DSA sequence into binary vascular mask images through a U-Net segmentation model, tracking motion displacement of contrast agent particles in continuous frames by using a particle image velocimetry algorithm, generating a blood flow velocity vector field, and calculating an eddy current intensity feature map; and carrying out channel cascading on the binarized blood vessel mask image and the vortex intensity feature map to generate a blood vessel feature tensor, and generating a lesion detection result by improving a YOLOv7 model. According to the method, the accuracy, robustness and clinical applicability of vascular disease recognition are improved, and a technical closed loop from multi-modal data processing to automatic diagnosis report generation is realized.

A prosthetic heart valve for treatment of a diseased heart valve having native anterior and posterior leaflets that move between an open configuration and a closed position to regulate blood flow through the heart valve during a cardiac cycle of a heart. The prosthetic heart valve having a crescent shaped stent, at least one prosthetic leaflet mounted on an inner surface of the stent, and at least one prong structure coupling a portion of the at least one prosthetic leaflet to a lower ventricular portion of the stent frame. The prosthetic heart valve further having systems for anchoring the upper flared portion of the stent to a posterior portion of the native valve annulus.

The exemplified methods and systems facilitate the quantification of cardiac cycle-variability as a metric of signal quality of an acquired signal data set and the rejection, based on that quantification, of said acquired signal data set from one or more subsequent analyses that can predict and / or estimate a metric associated with the presence, non-presence, severity, and / or localization of abnormal cardiovascular conditions or disease, including, for example, but not limited to, coronary artery disease, abnormal left ventricular end-diastolic pressure disease (LVEDP), pulmonary hypertension and subcategories thereof, heart failure (HF), among others as discussed herein. The quantification of levels of cycle-variability assessed noise such as skeletal-muscle-related-signal contamination and muscle-artifact-noise contamination, and other asynchronous-noise contamination in an acquired signal can be subsequently used for the automated rejection of such asynchronous noise from measurements of biophysical signals.

A control device (100) for controlling the rotational speed (nVAD(t)) of a non-pulsatile ventricular assist device, VAD, (50) uses an event-based within-a-beat control strategy, wherein the control device is configured to alter the rotational speed of the VAD within the cardiac cycle of the assisted heart and to synchronize the alteration of the rotational speed with the heartbeat by at least one sequence of trigger signals (σ(t)) that is related to at least one predetermined characteristic event in the cardiac cycle. Further, a VAD (50) for assistance of a heart comprises the control device (100) for controlling the VAD, wherein the VAD is preferably a non-pulsatile rotational, for example catheter-based, blood pump.

The invention discloses a PET / MR (positron emission tomography / magnetic resonance) all-in-one machine-based dynamic attenuation correction and respiratory and cardiac dual motion correction method. The method comprises the following steps of: generating a dynamic mu graph of a respiratory cycle; mR cardiac function movie sequence scanning of the cardiac cycle; accurately segmenting the cardiac muscle; 6, performing tissue segmentation on the dynamic mu graph; clustering the PET data; pET data space-time registration is carried out; merging PET data of the same time phase; performing frame-by-frame dynamic attenuation correction; respiratory movement correction; correcting a partial volume effect; carrying out myocardial MR image space standardization on different time phases of the cardiac cycle; and carrying out spatial standardization on the myocardial PET image of different time phases in the cardiac cycle. According to the method, the mu graph of the respiration and cardiac cycles is reconstructed through time-phase sharing and is accurately registered with the PET data, so that the high-quality attenuation correction of the heart PET image is realized and the motion correction is completed at the same time.

Planning cardiac surgery is a complex task. Current heart models are mostly static and provide no functional information or personalization apart from structural information from imaging modalities like MRI, CT etc. The embodiments of present disclosure addresses unresolved problem of generating a personalized four dimensional cardiac model that integrates blood flow velocity, pressure profile and volume on three-dimensional cardiac structure, providing a comprehensive tool for pre or post-surgical planning and analysis. Unlike existing techniques, which often rely on separate assessments of cardiac anatomy and hemodynamics, using invasive methods, the present disclosure provides a 4D cardiac model that captures the person specific dynamic interaction between cardiac structures and blood flow throughout the cardiac cycle. Further, the 4D cardiac model enables clinicians to visualize and quantify complex flow patterns and pressure distributions within the region of interest in the heart, facilitating precise surgical planning and outcome prediction especially in pediatric heart surgery.

In some examples, a medical aspiration system is configured to control medical aspiration based on a cardiac cycle of a patient. For example, a medical aspiration system can include a suction source configured to apply a suction force to a catheter to remove fluid from the catheter, and control circuitry configured to control the suction force applied by the suction source to the catheter based on a cardiac cycle of a patient.

The invention relates to the technical field of medical image processing, in particular to an aortic valve automatic segmentation method based on a multi-temporal CTA image. The method comprises the following steps: identifying a laminar flow dark area and a vortex bright area on a cross section of an aortic sinus area; according to the first feature size of the laminar flow dark area and the second feature size of the vortex bright area, the valve leaflet-sinus wall spacing is determined; determining a first deviation index according to the change trend of the valve leaflet-sinus wall spacing in the cardiac cycle; determining a second deviation index according to a difference characteristic between the CT value of the laminar flow dark area and the CT value of the eddy current bright area; if the first deviation index and the second deviation index both exceed the corresponding threshold values, judging that the data is in a to-be-corrected time phase; correcting the spacing by using the correction weight calculated by the second deviation index; and extracting key parameters of each time phase on the longitudinal section, and associating the corrected valve leaflet-sinus wall spacing to construct a valve three-dimensional dynamic model, thereby facilitating the three-dimensional dynamic model to output more accurate valve motion data.

The invention relates to a heart health state detection method and device and electronic equipment, and the method comprises the steps: determining a plurality of first feature sets and a plurality of second feature sets in a short-time feature set based on a to-be-detected heart sound signal, each first feature set being determined based on the signal amplitude of the heart sound signal in a corresponding window at each sampling point, and each second feature set being determined based on the signal amplitude of the heart sound signal in the corresponding window at each sampling point; each second feature set is determined based on the duration of a first heart sound interval, a systolic period, a second heart sound interval and a diastolic period included in each cardiac cycle in the heart sound signal in the corresponding window; based on the heart sound signal to be detected, a time domain feature set, a frequency domain feature set and a Poincare map related parameter set in the long-time feature set are determined, the time domain feature set is determined based on the duration of each cardiac cycle, the frequency domain feature set is determined based on signal power, and the Poincare map related parameter set is determined based on a Poincare map generated based on the duration of each cardiac cycle; and inputting the short-time feature set and the long-time feature set into a set heart health state detection model to obtain a heart health state result.

The invention discloses an aortic valve function evaluation device which comprises a processor and a memory, and the memory stores programs or instructions capable of running on the processor. When the program or the instruction is executed by the processor, the following steps are realized: acquiring a first echocardiogram of a target object corresponding to a final systole and a second echocardiogram of a target object corresponding to a final diastole in a cardiac cycle, and acquiring medical record data of the target object; determining a first mask pattern corresponding to the first echocardiogram and a second mask pattern corresponding to the second echocardiogram according to the first echocardiogram, the second echocardiogram and an aortic valve segmentation model; determining an aortic valve morphological index of the target object according to the first mask pattern and the second mask pattern; determining aortic valve functional indexes of the target object according to the medical record data of the target object; and determining and outputting an aortic valve function evaluation result of the target object according to the first mask pattern, the second mask pattern, the aortic valve morphological index and the aortic valve functional index.

Systems and methods and devices 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 occlusion device may include a lumen obstructed by a relief valve that may permit fluid flow through the occlusion device to release an excessive build-up of pressure.

The invention provides a heart sound anomaly detection method and device, electronic equipment and a storage medium. An original heart sound signal is acquired and preprocessed into a standard heart sound signal, a plurality of cardiac cycles are divided to form a periodic heart sound signal, and corresponding Mel filter bank coefficient features and Mel frequency cepstral coefficient features are extracted; fusing the Mel filter bank coefficient features and the Mel frequency cepstrum coefficient features, inputting the fused Mel filter bank coefficient features and Mel frequency cepstrum coefficient features into an encoder in a pre-trained MobileNetV2 network, capturing a long-distance dependency relationship in the periodic heart sound signals by using a self-attention mechanism, and outputting a potential space representation vector; and inputting the potential space representation vector into a classifier of the MobileNetV2 network, and outputting a prediction result through a Softmax function. According to the method, the model complexity can be greatly reduced while the model precision is guaranteed, effective features can be extracted while low calculation overhead is kept, and the recognition capability and generalization performance of the model on abnormal heart sounds can be enhanced.

System for arrhythmia detection and confirmation includes implantable medical device (IMD) having a sensing circuit for sensing cardiac activity (CA) for one or more cardiac cycles and generating one or more CA signals. An implantable pressure sensor (IPS) includes IPS sensing circuit for sensing pressure during the one or more cardiac cycles and generating one or more pressure signals. IMD and IPS include communications circuits for communicating with each other and / or an external device. One or both of IMD or IPS includes memory for storing program instructions and processor(s) for analyzing one of the CA or pressure signals, for one or more cardiac cycles, to detect a candidate arrhythmia. In response to detecting candidate arrhythmia, the processor(s) obtain another one of CA or pressure signals for cardiac cycles corresponding to the one or more cardiac cycles, and confirm or deny candidate arrhythmia based on the other one of the signals.

Methods, systems, and devices for cardiovascular health metric determination are described. A system may be configured to receive a photoplethysmogram (PPG) signal representative of a pulse waveform for a user. The pulse waveform may include a first local maximum, a downward slope following the first local maximum, and a curved feature representative of a transition from a systolic phase to a diastolic phase of a cardiac cycle. Additionally, the system may extract one or more morphological features from the pulse waveform and compare the one or more morphological features with one or more features from a plurality of baseline PPG signal morphologies associated with a plurality of chronological ages. The system may determine a cardiovascular health metric that indicates a cardiovascular health of the user relative to a chronological age of the user and cause a graphical user interface to display an indication of the cardiovascular health metric.

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.

Methods and systems are provided for identifying cardiac cycles for evaluating left ventricle function using only image data. In one example, a method includes obtaining a sequence of medical image frames of a heart of a patient over a plurality of cardiac cycles, wherein each medical image frame depicts the same apical view of the heart, using a timing model to generate an output that is useable to label each frame of the sequence by cardiac cycle subphase and using the output to determine the suitability of each cardiac cycle for performing an automated measurement. The method may further include using the suitability of each cycle to determine if an automated measurement should be performed on each cycle, where automated measurements are performed on medical image frames corresponding to suitable cycles and automated measurements are not performed on medical image frames corresponding to unsuitable cycles.

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.

The application discloses a method for generating electrocardiogram based on a diffusion model and synthesizing a customizable cardiac cycle, relates to an electrocardiogram generation method, and aims at solving the problems of the existing electrocardiogram generation method, such as data imbalance, poor privacy protection and the incapability of generating specific pathological signals. The application takes electrocardiogram semantic labels as conditional input, simultaneously inputs noise and diffusion time steps into a deep generation model, and generates electrocardiogram; the deep generation model takes a diffusion model as an overall architecture, introduces a converter model to learn long-term dependencies in electrocardiogram signals, and simultaneously introduces a semantic electrocardiogram batch normalization module to accurately learn local ECG semantic features. The electrocardiogram signal generated by the application can accurately follow the provided electrocardiogram semantic information, customize electrocardiogram with real physiological significance, and improve the data imbalance problem and the privacy protection.

The invention discloses an arteriosclerosis detection method, device and system and an arteriosclerosis detector, and relates to the technical field of medical instruments.The method comprises the steps that after carotid artery pulse waveforms and femoral artery pulse waveforms are subjected to preprocessing and differential processing, division is conducted according to heartbeat cycles; acquiring a carotid artery signal maximum value and a femoral artery signal maximum value in each heartbeat cycle; determining conduction time in each heartbeat cycle according to the carotid artery signal maximum value and the femoral artery signal maximum value in each heartbeat cycle; according to the distance between the carotid artery measuring point and the femoral artery measuring point and the conduction time in each heartbeat cycle, the conduction speed of the pulse wave of the tested person in the arterial system in each heartbeat cycle is determined; determining an average conduction velocity according to the conduction velocity of the pulse wave of the testee in the arterial system in each heartbeat cycle; and determining the arteriosclerosis degree according to the average conduction velocity. The technical problem of low arteriosclerosis measurement precision in the prior art is solved.

The invention discloses an ultrasonic image automatic quantitative evaluation method and system based on artificial intelligence, and relates to the technical field of medical image processing. And respectively acquiring a modal category of the ultrasonic image, a detection frame of each target structure, a structure type and / or a sampling line position and a detection frame of each cardiac cycle through the depth image classification model and the target detection model. And the section type of the ultrasonic image is accurately judged according to the data. According to the method, in combination with the modal category and section type of the ultrasonic image and the image type contained in the ultrasonic image, an appropriate quantitative analysis mode can be accurately provided for different ultrasonic sections, and a quantitative analysis result is visualized, so that a doctor can observe the result conveniently. According to the invention, comprehensive analysis of the multi-modal section can be realized, and more comprehensive and deep analysis and evaluation of the heart structure or function can be realized.

The invention relates to the technical field of medical image processing, in particular to a dynamic ultrasonic noise reduction model training method and a dynamic ultrasonic noise reduction method and device. The method comprises the following steps: acquiring an ultrasonic video covering multiple clinical scenes such as antral pneumatosis, hydrops, solid contents, long antral antrum and cardiac anatomical occlusion; marking the precise boundary of the organ frame by frame by a clinical expert, segmenting and complementing a missing section, optimizing the contour of a fuzzy region, and inhibiting or erasing artifacts; a deep learning model is trained based on the labeled data, so that the model can call an exclusive noise reduction algorithm according to organ categories (the antral sinuses adopt morphological reconstruction filtering guided by ellipse / long axis prior, and the heart adopts time-space joint deblurring driven by a cardiac cycle and combining motion compensation and anisotropic filtering); and weighted noise reduction is carried out on the suspected lesion or the user indication area. In the reasoning stage, a high-fidelity and low-noise video stream can be output in real time by inputting any dynamic ultrasonic video, and organ boundary metadata is attached.

An implantable LVAD is provided that includes a pump shaped so as to define a pump chamber. The pump includes a tubular linear motor, which includes a magnetic piston, which includes a reciprocating one-way valve configured to allow downstream blood flow and inhibit upstream blood flow; and a stator, which is configured to magnetically drive the magnetic piston with reciprocating motion, so as to pump blood downstream during downstream motion of the magnetic piston while the reciprocating one-way valve is closed. The pump further includes a spring, which is arranged to store energy during upstream motion of the magnetic piston and release the stored energy during the downstream motion of the magnetic piston. Control circuitry is configured to activate the tubular linear motor to provide pulsatile flow synchronized with cardiac cycles. Other configurations are also described.

The invention discloses a medical imaging gating system based on non-contact multi-channel vibration signal composite judgment. Light projection and image acquisition technologies are combined, a heart mechanical vibration signal and a carotid artery pulse mechanical signal of a testee are synchronously acquired through a non-contact method, and a cardiac trigger point is extracted from the mechanical vibration signal. The method comprises the following steps: performing time sequence consistency judgment on cardiac trigger points from different mechanical vibration signals based on a composite judgment strategy of double-signal time sequence alignment and delay correction: when the time difference of the cardiac trigger points from the different mechanical vibration signals is in a preset physiological delay window in the same cardiac cycle, performing time sequence consistency judgment on the cardiac trigger points from the different mechanical vibration signals; taking an average value as a cardiac trigger moment of the current cardiac cycle; otherwise, respectively selecting the time of the cardiac trigger point of the signal with the optimal signal-to-noise ratio as the cardiac trigger moment. According to the method, high-precision and high-robustness gating synchronous trigger signals can be generated in real time, and medical imaging equipment such as MRI and CT can be driven to realize accurate synchronous acquisition.

An ultrasound imaging system (100) may automatically analyze a pulse wave Doppler spectrogram to determine high quality and low quality cardiac cycles. Based on the determination, the ultrasound imaging system (100) may exclude the low quality cardiac cycle from being used in calculations of parameter measurements such as peak systolic velocity, end diastolic velocity, and resistance index. In some examples, the ultrasound imaging system (100) may provide a visual indication on the display (138) which cardiac cycles were excluded from the measurements.

The invention discloses a magnetocardiogram P-wave detection method based on wavelet analysis and a local noise self-adaptive threshold, which is characterized in that accurate and robust detection of a P wave is realized by searching on a characteristic scale which can highlight the P wave, a self-adaptive threshold confirmation mechanism based on local noise estimation is introduced, and a self-adaptive threshold confirmation mechanism is established for a time domain search window of each cardiac cycle. According to the method, the internal noise level is dynamically evaluated, and an estimated value capable of accurately reflecting the local noise condition of the current heart beat can be obtained by carrying out statistical analysis on wavelet coefficients in a characteristic scale in an area where P waves are most likely to appear.

An implantable LVAD system includes an implantable LVAD including an outflow cannula, which is couplable in fluid communication with a circulatory system of the patient at a first site; and an inflow cannula, which is couplable in fluid communication with the circulatory system at a second site upstream of the first site. The LVAD further includes a continuous-flow pump includes a first inlet in fluid communication with the inflow cannula, and a first outlet. The LVAD still further includes a pulsatile-flow pump includes a second inlet in fluid communication with the first outlet of the continuous-flow pump, and a second outlet in fluid communication with the outflow cannula. Control circuitry is configured to activate the continuous-flow pump to provide flow without synchronization with cardiac cycles of a heart of the patient, and activate the pulsatile-flow pump to provide pulsatile flow synchronized with the cardiac cycles. Other embodiments are also described.

The invention relates to a method for generating a spatio-temporal model (4DLVM) of a part of a patient's heart, comprising the following steps: (E1) Receiving a plurality of ultrasound images (EG) of a patient's heart; (E2) Generating a spatial model (3DLVM) of at least a given part of the heart from the plurality of ultrasound images received; Receiving a photoplethysmographic (PPG) signal from said patient; Determining a function of change of volume of the heart (LVVC), during all or part of a cardiac cycle of the patient's heart, from the photoplethysmographic signal; Generating a spatio-temporal model (3DLVM) of said part of the heart by means of the spatial model of said part of the heart and said function of change of volume of the heart.

Systems and methods and devices 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 occlusion device may include a lumen obstructed by a relief valve that may permit fluid flow through the occlusion device to release an excessive build-up of pressure.

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.