51 results about "Heart motion" patented technology

The patterns of contraction and relaxation of the heart before and during left ventricular or biventricular pacing are analyzed and displayed in real time mode to assist physicians to screen patients for cardiac resynchronization therapy, to set the optimal A-V or right ventricle to left ventricle interval delay, and to select the site(s) of pacing that result in optimal cardiac performance. The system includes an accelerometer sensor; a programmable pace maker, a computer data analysis module, and may also include a 2D and 3D visual graphic display of analytic results, i.e. a Ventricular Contraction Map. A feedback network provides direction for optimal pacing leads placement. The method includes selecting a location to place the leads of a cardiac pacing device, collecting seismocardiographic (SCG) data corresponding to heart motion during paced beats of a patient's heart, determining hemodynamic and electrophysiological parameters based on the SCG data, repeating the preceding steps for another lead placement location, and selecting a lead placement location that provides the best cardiac performance by comparing the calculated hemodynamic and electrophysiological parameters for each different lead placement location.

A dual-mode, capable of imaging and ablation, ultrasound array integrated in a catheter is provided for minimally invasive treatment of arrhythmias. The catheter array is small enough for insertion through a peripheral vein and is longitudinally integrated with the catheter to have a side-view for tissue imaging and ablation. A high length/width array ratio creates a large aperture necessary for high power ablation densities. A catheter stabilization device maintains a distance between the catheter array and the wall of a heart or vein. Visualization of anatomy and imaging of ablated tissue provides a guide for placing the lesion and assists in achieving a pattern of ablated tissue. The catheter is advanced to another area by catheter rotation and/or array steering or focusing. Gating the imaging and ablation processes to a heart cycle allows for accounting and compensation of heart motion and enables automation of an arrhythmia treatment.

Various embodiments of the present invention provide (a) an inexpensive apparatus enabling the measurement of power dissipated by the rider of a cardio-fitness station (or any other stationary bicycle) that does not depend on manufacturing tolerances or machine condition variations, and (b) a method of using the data measured by such an apparatus to improve the accuracy of exercise condition settings by implementing the invented apparatus into a closed-loop control system which improves the quality of the exercise experience and enhances the adoption of exercise on a cardio-fitness station employing this as a community activity.

A method and apparatus are provided for obtaining and processing ballistocardiograph data to determine a physiological condition of a subject. Ballistocardiograph data indicative of heart motion of the subject measured along a plurality of spatial axes by a sensor device which may comprise a three-axis accelerometer. The ballistocardiograph data is processed to determine processed data indicative of heart motion of the subject. Indications of physiological condition are determined based at least in part on the processed data. Processing may comprise aggregation of multidimensional data, determining magnitude of heart motion and derivative thereof, determining a thrust summation, determining an index value, outputting a report based on an index value, etc. Processing may be informed by operator input, such as a time window of interest or indications of interest.

A method for optically analyzing blood vessel walls comprises receiving optical signals from the vessel walls and resolving a spectrum of optical signals in wavelength to generate spectral data. The spectral data is then transformed into the frequency domain. In the preferred embodiment, this transformation is achieved by applying wavelet decomposition. In other embodiments other transform techniques such as Fourier analysis is applied. The spectral data in the frequency domain are then used to analyze the vessel walls. In the typical embodiment, the spectral data are used to analyze a disease state of blood vessels walls such as the presence of atherosclerotic plaques, and their state. Dual domain method enables the spectral signals from blood vessels to be analyzed simultaneously according to frequency and wavelength (time). Dual-Domain Regression Analysis (DRDA) and Dual-Domain Discrimination Analysis (DDDA) in combination with wavelet transform (WT) enable the modeling of signals simultaneously in both domains. This provides a mechanism for isolating the non-interesting variation in spectra, making the system and analysis method more robust against variations in instrument and environmental conditions, e.g., broad-band spectral variation contributed from water, heart motion, and other non-interesting interferences. This provides higher sensitivity and specificity when compared with other models currently being used.

Disclosed are a device, a system and a method for testing a heart motion function. A wearable intelligent perception technology is used to measure and perform fusion analysis on heart rate and motion of a measured person in real time, and a series of cardiopulmonary dynamic function digital indexes such as heart rate motion reaction capacity, a heart time varying index and exercise heart rate recovery are introduced. Compared with a cardiopulmonary motion test (CPX), the device, the system and the method for testing the heart motion function use the indexes distinct in index clinical significance and specific in normal reference value, are simple and convenient to use whenever and wherever possible, greatly reduce test risk, and have significance and application prospect for popularization in cardiopulmonary disease prevention and recovery.

The invention discloses a quantitative analysis method for a three-dimensional geometric structure of a heart mitral valve device in the technical field of computer application. Quantitative analysis is realized by establishing a three-dimensional simplified model of the mitral valve device and using three-dimensional geometric structure parameters of a local coordinate system of the mitral valve device as the input of a support vector machine-based classification system. According to the method, reconstruction of the mitral valve device is not affected by an imaging mode, and the simplified three-dimensional model of the mitral valve device is obtained. The local coordinate system of the mitral valve device is established on the basis of simplified expression, so that the mitral valve device is independent of the influence factors such as the position of a sampling probe, heart motion displacement and displacement of a detected main body and the like, the three-dimensional geometric structure parameters of the mitral valve device are calculated, and the structure and the function of the mitral valve device and the spatial structure relation between the components of the mitral valve device are described.

Methods and systems are provided for authenticating an individual using a motion of a physiological structure. For example, an individual may be authenticated using their cardiac motion. A first radiofrequency (“RF”) signal is transmitted towards the physiological structure of the individual. A first RF return signal is received, where the first RF return signal corresponds to the transmitted first RF signal. The first RF signal and first RF return signal are processed to obtain a motion signal. One or more values are determined for each fiducial point of a set of pre-determined fiducial points in the motion signal. The set of pre-determined fiducial points corresponds to physical movements of the physiological structure. The individual is authenticated based on the values of one or more fiducial points.

A method of and an apparatus for monitoring the heart motion of a subject employ a probe which can be coupled to the aortic arch or to the thyroid cartilage of the subject for detecting movements caused by the heart motion and displaying the accelerations and displacement of the heart motion on an acceleration display and a displacement display. A mechanical motion amplifier amplifies the acceleration and an optical amplifier amplifies the displacement to counteract noise.

Applicant has disclosed a method for removing motion from non-CT cardiac angiographic or fluoroscopic x-ray 2-D sequential images, without using data prediction techniques in sequential CT imagery. Applicant's results are achieved by actively deleting or skipping exposure of certain 2-D flash image acquisitions during rapid heart motion (e.g., beating), the latter to reduce x-ray exposure. Applicant's preferred method comprises: positioning a person relative to a non-CT type x-ray machine, designed for fluoroscopy or angiography, with the person's heart between an x-ray source and a detector; monitoring rapid movement of the person's heart by electrocardiography; generating a series of x-ray pulses from the x-ray source; actively skipping any x-ray pulses by switching off the x-ray source during beating of the person's heart to prevent any images being generated from the skipped x-ray pulses; and generating sequential (i.e., either angiographic or fluoroscopic) 2-D cardiac images from the non-skipped x-ray pulses; wherein the motion is removed from the sequential images without using predictive algorithms and without using estimated compensation of motion.

The invention discloses a single-arm x-ray angiography image sequence multiple motion parameter decomposition and estimation method. The method includes the steps: (1) automatically selecting stable vascular structure feature points; (2) automatically tracking the selected vascular structure feature points in a whole angiography image sequence; (3) selecting a sequence (img file=' DDA0000450354970000011.TIF' wi=' 92' he=' 74' /) with the length ns=k*N1(k>1) in a point tracking sequence s(n) (the N1 refers to the cycle of heart motion); (4) decomposing (img file=' DDA0000450354970000012.TIF' wi=' 96' he=' 64' /) into x-direction motion x(n) and y-direction motion y(n), respectively performing EMD (empirical mode decomposition) for the x(n) and the y(n) to obtain independent motion signals after EMD; (5) correspondingly classifying the independent motion signals according to priori physiological knowledge. The method has wide applicability and flexibility, higher safety and operability and better reliability and accuracy.

The present disclosure describes a method and device to monitor the heart of a subject using radio signals. Availability of a portable heart monitor that can be used in a subject's home can increase patient compliance and improve diagnosis rates of cardiac conditions. A mobile heart monitor can be especially useful to those subjects who are elderly, incapacitated, or do not have easy access to a clinic, doctor's office, or hospital.

The invention discloses a dense connection asymmetric hierarchical network training method and a cardiac motion field estimation method, and aims to solve the problem of cardiac motion estimation by using a dense connection coding-decoded asymmetric deep learning network to extract multi-scale characteristics of a left ventricle in two adjacent time point Cine MR images, and fusing the multi-scalecharacteristics by the coding-decoded structure network to decide the displacement of the pixel point. The introduction of the dense connection network alleviates the gradient disappearance phenomenon, the left ventricle characteristics are more effectively utilized through the fusion of the left ventricle characteristics, and fewer network parameters are provided. Wherein the asymmetric networkstructure can obtain sparse deformation fields at equal intervals, and the B spline interpolation is further utilized to obtain a smooth dense deformation field. The distortion energy constraint of the deformation field is introduced into the objective function of network training, the smoothness of the deformation field is improved, and a more stable and reasonable heart motion field can be obtained to be used for quantitative analysis of cardiovascular diseases.

The invention discloses an acute hypotension hybrid early warning method based on an LSTM network. The method comprises the following steps: firstly, a collected physiological data sequence is imported; hypotension event detection is carried out; if a patient is in a hypotension state at present, a result is output for hypotension early warning, if the patient is not in the hypotension state at present, predicting of an acute hypotension event is carried out, if the acute hypotension is predicted to occur in a next time period, the result is output for hypotension prediction early warning, then a blood pressure protection value is detected, and if the blood pressure exceeds the protection value, returning to two results is carried out for early warning. The prediction and early warning canbe carried out on acute hypotension, so that time is bought for monitoring personnel, the safety of the patient during rehabilitation training is guaranteed, and cardiac exercise rehabilitation becomes more scientific, efficient and safer.

A container has a diaphragm in abutment with an outer wall of a heart, and contains silicone oil. An actuator driven by a motor applies pressure on the silicone oil in the container to drive the diaphragm. A controller controls the operation of the motor.

Example methods, apparatus and articles of manufacture to process cardiac images to detect heart motion abnormalities are disclosed. A disclosed example method includes adapting a state of a state-space model based on a plurality of cardiac images to characterize motion of a heart, computing an information-theoretic metric from the state of the state-space model, and comparing the information-theoretic metric to a threshold to determine whether the motion of the heart is abnormal.

The invention discloses a method and a system for training a heart motion field estimation model and a method and a system for heart motion field estimation. According to the method and the system fortraining a heart motion field estimation model, a semi-auto-encoder network is used to extract multi-scale features of the left ventricle in a Cine MR images at the end of diastole and the end of systole, different scale features are fused through an encoding network so as to decide distribution parameters of deformation parameters of control points, a deformation model of a radial basis functionis introduced into an auto-encoder, and a decoding process is not needed in an auto-encoder network structure, so that the network is lightened. The non-uniformly distributed control points are adopted, so that the deformation field of the area where the left ventricle is located is easier to control, and the deformation precision is higher; and meanwhile, invisible variable parameters have definite physical significance, the smoothness of a deformation field is easier to control, and a more stable and reasonable heart movement field is obtained to be used for quantitative analysis of cardiovascular diseases.