Signal-Triggered Cardiovascular Device Control for Accurate Deployment
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Solution Overview
Problem
Deploying cardiovascular devices, such as mitral valve clips, in the beating heart is a demanding task that requires great skill and often involves multiple attempts due to the challenges of aligning the device with the target anatomy during minimal invasive interventions.
Innovation Solution
A system that analyzes medical input signals, including medical images and physiological signals, to determine a time window for deploying cardiovascular devices, using a signal analyzer and a controller to ensure deployment occurs during the optimal anatomical and physiological conditions, with sensory feedback to guide the operator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual deployment control is used by the operator, then the operator has full control over the deployment timing, but the procedure becomes time-consuming and requires multiple attempts due to difficulty in identifying the optimal deployment moment
Solution Approach 1:
The system provides real-time feedback to the operator by analyzing medical images and physiological signals to determine when the target anatomy is in the optimal configuration for device deployment. This feedback mechanism guides the operator's manual control decisions, reducing trial-and-error attempts and procedure time while maintaining operator authority over the deployment timing.
Solution Approach 2:
The system performs preliminary analysis of medical images and physiological signals before deployment to identify the optimal deployment window in advance. This preliminary action prepares the operator with advance knowledge of when to deploy, eliminating the need for multiple attempts and reducing overall procedure duration.
2Reliability
If multiple attempts are made to achieve correct device placement, then the operator can find the right timing, but the procedure length increases and clinical efficiency decreases
Solution Approach 1:
Real-time analysis of medical images and physiological signals provides continuous feedback to the operator, enabling accurate identification of the optimal deployment moment on the first attempt. This feedback loop maintains high deployment accuracy while eliminating the need for multiple attempts, thereby improving clinical efficiency.
Solution Approach 2:
The system replaces the operator's manual trial-and-error mechanical approach with an automated analytical system that processes medical images and physiological signals. This substitution maintains deployment accuracy by providing objective, data-driven guidance while significantly reducing procedure time and improving clinical productivity.
3Productivity
If automated control is implemented to determine deployment timing, then procedure efficiency increases, but the system complexity increases and requires integration of multiple signal analysis components
Solution Approach 1:
The control unit is designed as a multi-functional system that simultaneously performs multiple tasks: analyzing medical images, processing physiological signals, determining optimal deployment timing, and providing guidance to the operator. This universal approach consolidates multiple functions into a single integrated system, managing complexity while maximizing procedure efficiency.
Solution Approach 2:
The system merges image analysis and physiological signal processing into a unified control mechanism that jointly determines the optimal deployment window. By combining these analysis components into a single integrated system rather than separate systems, the patent manages complexity through consolidation while achieving high procedure efficiency.
Data Source
AI summary
A system (SYS) for supporting a medical procedure, comprising an interface (IN) for receiving at least one medical input signal that describes a state of a target anatomy. A signal analyzer (SA) is configured to analyze the medical input signal to determine a time window for deployment of a cardio-vascular device (CL) to be deployed by a deployment.


