5 results about "Right atrial" patented technology

The engagement of the two atria via atrial pacing therapy is determined using one or more metrics based on monitored external electrical activity. For example, external electrical activity can be monitored during delivery of the atrial pacing therapy, right atrial and left atrial components can be generated based on the monitored external electrical activity, and one or more metrics can be generated based on the right atrial and left atrial components. One or more metrics can then be used to determine whether the atrial pacing therapy has biatrial engagement.

Systems and methods are described for modulating blood flow through a blood vessel by providing an implantable device implanted in the blood vessel, monitoring, pressure in the blood vessel, and in response to detecting when a first pressure in the blood vessel is above a first predefined pressure range, causing actuation of the implantable device to modulate the blood flow through the blood vessel or an adjacent blood vessel according to a first actuation cycle configured to maintain the first pressure within the first predefined pressure range. In addition, the systems and methods may, in response to detecting, when a second pressure is above a second predefined pressure threshold, cause switching of the implantable device to a second actuation cycle to alter the modulation of the blood flow through the blood vessel.

This invention discloses a systemic circulation venous simulation system, comprising a right ventricular simulation component, an arterial compliance simulation component, a venous vessel module, a damping module, a throttling valve, a collapsible venous segment, a venous compliance simulation component, a right atrial simulation component, a drive module, and a data acquisition module. The right ventricular simulation component simulates the pumping function of the right ventricle; the arterial compliance simulation component simulates the elastic energy storage characteristics of the arterial system; the venous vessel module includes a collecting chamber, a superior vena cava return vessel, an inferior vena cava return vessel, and a vena cava confluence conduit; the collapsible venous segment prevents excessive negative pressure in the venous system; the venous compliance simulation component reduces the impact of right atrial pressure fluctuations on the venous vessels; and the right atrial simulation component simulates the right atrial filling state through internal volume changes. This simulation system can be used for in vitro testing of vena cava intervention devices.

Systems and methods are described for modulating blood flow through a blood vessel by providing an implantable device implanted in the blood vessel, monitoring, pressure in the blood vessel, and in response to detecting when a first pressure in the blood vessel is above a first predefined pressure range, causing actuation of the implantable device to modulate the blood flow through the blood vessel or an adjacent blood vessel according to a first actuation cycle configured to maintain the first pressure within the first predefined pressure range. In addition, the systems and methods may, in response to detecting, when a second pressure is above a second predefined pressure threshold, cause switching of the implantable device to a second actuation cycle to alter the modulation of the blood flow through the blood vessel.

A lightweight Mamba right atrial segmentation system based on Atlas prior and boundary awareness is presented, belonging to the field of medical image processing technology. This invention addresses the challenge of existing methods simultaneously achieving segmentation accuracy, lightweight models, and real-time performance. It utilizes a constructed right atrial probabilistic map (Atlas) to provide anatomical structure prior guidance for subsequent segmentation tasks, enhancing performance in LGE-MRI right atrial image segmentation. An attention-guided boundary enhancement module strengthens boundary feature representation at the feature level, while a dynamic weight scheduler optimizes boundary segmentation at the loss function level. This approach obtains complementary information from both region segmentation and boundary optimization, ensuring high image segmentation performance. Furthermore, the lightweight Mamba segmentation network significantly reduces the number of parameters and computational complexity while maintaining long-range dependency modeling capabilities, guaranteeing real-time segmentation. This method can be applied to right atrial image segmentation.