Ventricular Assist Device Wear Detection via Sensor Signal Analysis
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Solution Overview
Problem
Existing methods for monitoring the condition and detecting wear in cardiac support systems are inadequate, leading to potential system failures and compromising safety and reliability.
Innovation Solution
A method and device for detecting wear in cardiac support systems by reading and processing sensor signals to determine a wear signal, which represents the state of wear, allowing for continuous monitoring and early detection of damage or aging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous monitoring of cardiac support systems is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The cardiac support system monitors its own wear condition using integrated sensors and processing units without requiring external monitoring equipment. The system self-evaluates its functional parameters and generates wear signals internally, eliminating the need for complex external monitoring infrastructure while maintaining high reliability.
Solution Approach 2:
The processing unit performs multiple functions: it processes sensor signals from various sensors, determines wear conditions, evaluates functional parameters, and generates control signals. This multi-functionality consolidates what would otherwise require separate dedicated monitoring devices into a single integrated system, reducing overall complexity.
2Reliability
If wear detection capability is added to cardiac support systems, then safety is improved, but manufacturing complexity increases
Solution Approach 1:
The wear detection functionality is merged with the existing control and processing units of the cardiac support system. Sensors are integrated into the drive assembly and pump housing that already exist in the system architecture, combining wear monitoring with the existing structural and control components rather than adding separate dedicated monitoring systems.
Solution Approach 2:
The system continuously monitors functional parameters and determines wear conditions in advance before failure occurs. By preliminarily detecting wear states and generating warnings before critical failures happen, the system enables proactive maintenance while using the same hardware infrastructure already present in the device.
Data Source
AI summary
The present disclosure relates to a method for detecting a state of wear of a cardiac support system. The method comprises a read-in step and a determination step. During the read-in step, a sensor signal representing an operating state of the cardiac support system is read in. During the determination step, a wear signal is determined using the sensor signal and a comparison rule. The wear signal represents the wear condition.