An evaluation system for determination of cardiovascular function parameters is provided. The evaluation system includes a data reading module, an image generating module, a contour determination module, an active contour module, a geometric center axis computing module, a view angle selection module and a function evaluation module. After reading cardiovascular graphic files with the data reading module, the image generating module displays 2D images or a 3D image constructed from the 2D images. Then, active contours are generated by the contour determination module and the active contour module, so as for the geometric center axis computing module to calculate geometric center axes. The view angle selection module then rotates the 3D image according to the view angle data received and modifies the 2D image files accordingly to generate plural cross-section images of the 3D image. Finally, the function evaluation module calculates evaluation parameters according to the geometric center axes. Thus, evaluation parameters can be derived from cardiovascular ultrasound images for clinical diagnosis in the evaluation of cardiovascular functions.

A system and method for monitoring a health status of a subject. The system comprises: a medical device implantable in the subject and having a passage or compartment through which blood flows through; a sensor device embedded at or near a surface of said passage within said medical device for generating signals suitable for measuring a Doppler shift effect occurring within said passage; and a control device coupled to said sensor device for measuring a liquid blood flow rate within said passage based on sensor generated signals outputs. The embedded sensor device comprises a first piezo-electric element configured to generate an acoustic excitation signal and a second piezo-electric element configured to receive said acoustic excitation signal. The second piezo-electric element emits a signal responsive to said acoustic excitation signal. Control device in real time compares a generated output signal with the input excitation signal to determine a Doppler frequency shift measurement.

Described here are wireless monitoring devices, systems, and methods for estimating one or more physiological parameters of a patient. These devices and systems may measure or receive a signal waveform transmitted through one or more of fluid and a physiological structure of a patient. This measured signal waveform may be processed to generate waveform parameter data used to estimate a physiological parameter such as blood velocity, heart wall thickness, and the like.

A method and system for processing imaging data of a tissue in an individual following a change in oxygenation or blood flow in tissue, for assessing tissue function. Test images are registered with a baseline image, providing registered images. The registered images may be compared to assess variations in the change in the tissue in response to changes in oxygenation or blood flow of the tissue shown in the images. The change in oxygenation or blood flow in the tissue may be quantified and plotted in a parametric plot or displayed in a parametric map to assess whether the change in oxygenation or blood flow, corresponding to a change in signal intensity, is abnormal following a stress event or under other conditions, to assess microvascular or macrovascular function.

Provided is a method of representing a pressure variation in an object on an image of the object. The method includes: measuring all velocity components of the object; selecting a first position on the image of the object; estimating a pressure variation between the first position and a second position that is separate from the selected first position; and displaying an estimated pressure variation on the image of the object by using a predetermined indicator.

The invention relates to a method for determining at least a flow velocity or a fluid volume flow (5) of a fluid flowing through an implanted vascular support system (1), comprising the following steps: a) carrying out a pulsed Doppler measurement by means of an ultrasonic sensor (2) of the support system (1), b) evaluating a measurement result from step a), which has a possible ambiguity, c) providing at least one operating parameter of a flow machine (3) of the support system (1), d) determining at least the flow velocity or the fluid volume flow (5) using the measurement result evaluated in step b), wherein the possible ambiguity of the measurement result is corrected using the operating parameter.

The present invention relates to the technical field of image processing, in particular to a method for determining a cardiac cycle and ultrasonic equipment. The method comprises: acquiring a cardiac ultrasound video; classifying the cardiac ultrasound video by using a section type recognition model to determine a section type of the cardiac ultrasound video; and processing the cardiac ultrasound video by using a systole and diastole recognition model corresponding to the section type to obtain the cardiac cycle corresponding to the cardiac ultrasound video. The model is used to process the cardiac ultrasound video to detect the corresponding cardiac cycle. Model detection can avoid the use of an electrocardiograph and simplify the detection of the cardiac cycle. Furthermore, real-time detection of the cardiac cycle can be realized during echocardiography.

The invention relates to a device (105) for determining a cardiac output for a cardiac assist system (100), wherein the device (105) comprises a support structure (115) and a sensor device (120). The support structure (115) comprises at least one brace (125) and a connection section (130) for connecting the device (105) to an element (110, 112) of the cardiac assist system (100). The at least one brace (125) is connected to the connection section (130) and can be folded away from the element (110, 112). The sensor device (120) is coupled to the at least one brace (125) and configured to sense a blood stream.

The invention provides a method for generating a transvalvular pressure quantification within a cavity. The method includes acquiring a plurality of color Doppler ultrasound image frames, wherein the image frames comprise a view of a valve, one of which is then presented to a user. The user may then provide an input to indicate the location of the valve within the image frame. The location of the valve is then tracked within the remaining image frames based on the user input. A vector flow is estimated based on the color Doppler image frames and the tracked location of the valve, which may be used to estimate the flow across the valve(s) and in the cavity.

A system and methods automatically predict left ventricular ejection fraction by processing echocardiogram data performed by software executed on a computer system. One example method includes inputting echocardiogram data from an echocardiogram device, identifying two-halves left ventricle segmentation based on the echocardiogram data for each time frame, estimating a left ventricular volume or area from the two-halves left ventricle segmentations for the each time frame, detecting end-diastolic states and end-systolic states by comparing the left ventricular volumes or area of the each time frames automatically with a moving window, and predicting a left ventricular ejection fraction based on said end-systolic states and end-diastolic states. A prognosis or treatment plan may be provided based on the left ventricular ejection fraction calculated.