Intra-aortic balloon deflation timing selection
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Solution Overview
Problem
Existing IABP systems face challenges in accurately adjusting IAB deflation timing, especially during cardiac arrhythmia, as manual settings are prone to deviations and fail to adapt to unpredictable cardiac cycle accelerations or decelerations, leading to potential hemodynamic inefficiencies.
Innovation Solution
An apparatus that dynamically evaluates the pre-ejection period and balloon deflation time to select the most appropriate deflation timing mode, either R-wave triggered or predictive, based on real-time cardiac conditions, reducing the need for manual intervention and improving therapy efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual deflation timing is set at a fixed point in the cardiac cycle, then the system is simple to operate, but the deflation time deviates from the desired time with every acceleration or deceleration of the cardiac cycle
Solution Approach 1:
The system continuously monitors the actual cardiac cycle duration and compares it to the predicted cycle duration, using this feedback to dynamically adjust the deflation timing. The processor calculates the difference between actual and predicted R-R intervals and modifies the deflation trigger time accordingly, ensuring accurate timing despite heart rate variations.
Solution Approach 2:
The deflation timing system transitions from a static fixed-point setting to a dynamic adaptive system that automatically adjusts timing based on real-time cardiac cycle detection. The system continuously updates the deflation trigger time based on measured cardiac cycle variations, making the timing responsive to changing physiological conditions.
2Measurement precision
If deflation time is manually adjusted frequently to maintain accuracy, then timing precision improves, but the complexity of operation increases
Solution Approach 1:
The system performs automatic self-adjustment of deflation timing without requiring manual intervention. The processor continuously monitors cardiac cycle variations and autonomously modifies the deflation trigger time based on detected R-R interval changes, eliminating the need for frequent manual adjustments by clinicians.
Solution Approach 2:
The system uses real-time feedback from cardiac cycle monitoring to automatically correct timing deviations. By continuously measuring actual R-R intervals and comparing them to predicted intervals, the system self-corrects timing errors without external intervention, maintaining precision while reducing operational complexity.
3Adaptability or versatility
If R wave deflation is used during cardiac arrhythmia, then the system adapts to unpredictable cardiac cycle changes, but the deflation timing may still be incorrect due to unpredictable accelerations or decelerations
Solution Approach 1:
The system performs preliminary calculation of the expected R-R interval based on the previous two cardiac cycles before triggering deflation. This predictive approach allows the system to anticipate the next R wave timing and set the deflation trigger accordingly, improving reliability during arrhythmia by preparing the correct timing in advance rather than reacting after the fact.
Solution Approach 2:
The system dynamically adapts its timing strategy by switching between different prediction models based on detected arrhythmia patterns. During normal sinus rhythm, it uses standard interval prediction, while during arrhythmia it employs adaptive algorithms that respond to unpredictable variations, maintaining reliability across different cardiac conditions.
4Reliability
If the system proactively evaluates and selects deflation mode based on multiple parameters, then therapy efficacy improves, but the device complexity increases
Solution Approach 1:
The processor is designed to perform multiple functions: detecting R waves, measuring cardiac cycle intervals, predicting future intervals, comparing actual versus predicted values, and selecting appropriate deflation timing modes. This multi-functional approach consolidates complex operations into a single processing unit, improving therapy efficacy while managing device complexity through functional integration.
Data Source
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AI summary
The present invention provides methods and apparatus for selecting a deflation timing mode for an intra-aortic balloon (IAB) based on comparison of the time required to deflate the IAB and the time between the ECG R wave and systolic upstroke.