Balloon Catheter Control With Sensor Error Inhibition
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Solution Overview
Problem
Medical devices, such as balloon catheters, are prone to errors due to damage during shipment, setup, or wear and tear, leading to potential life-threatening consequences during therapeutic treatments, especially when automated systems rely on inaccurate sensor data without error detection and response mechanisms.
Innovation Solution
A blood flow control system with sensors and controllers that monitor physiologic conditions and pressures, identify errors, and transition from automatic to manual mode or inhibit functions to prevent unsafe operations, including alerts for user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated balloon catheters are used to control blood flow, then productivity and precision of blood flow control is improved, but the system becomes vulnerable to errors from undetected sensor damage or malfunction
Solution Approach 1:
The system performs preliminary error detection by comparing current sensor readings with historical baseline data before automated control actions are executed. This preliminary check identifies potential sensor malfunctions or damage, allowing the system to alert operators and prevent unsafe automated operations before they can cause harm to the patient.
2Device complexity
If manual monitoring of physiologic conditions is performed, then system complexity is reduced, but measurement precision and response time to physiologic changes deteriorate
Solution Approach 1:
The system implements automated feedback loops that continuously monitor physiologic conditions and compare them against target ranges. When deviations are detected, the system automatically alerts operators or can trigger predefined responses. This maintains measurement precision and rapid response capability while reducing the burden on manual monitoring, as the automated system handles continuous data acquisition and analysis.
3Reliability
If continuous automated monitoring of sensor data is implemented, then reliability of blood flow control is improved, but device complexity and computational requirements increase
Solution Approach 1:
The system implements partial automated monitoring by focusing error detection efforts on the most critical parameters and comparisons. Rather than analyzing every possible sensor reading in detail, the system performs targeted comparisons between current readings and baseline values for key physiologic parameters. This selective approach maintains reliable error detection capability while minimizing the computational complexity and resource requirements of the monitoring system.
Data Source
AI summary
Systems and methods for blood flow control are described herein. In some variations, a blood flow control system may comprise a blood flow control device. The blood flow control device may be placed within a body of a patient and may comprise an expandable member and a sensor. The sensor may be configured to measure at least one of a physiologic condition of the patient and a pressure associated with the expandable member. The blood flow control system may include at least one controller communicably coupled to the sensor to: receive data indicative of at least one of the physiologic condition of the patient and the pressure associated with the expandable member from the sensor, compare the received data with target data, identify at least one error based on the comparison, and in response to identifying the error, inhibit at least one function of the blood flow control system.