Adaptive Thresholds for Cardiac Pause Detection False Positives
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Solution Overview
Problem
Current medical systems face challenges in accurately detecting cardiac pauses due to false positives, often caused by inappropriate setting of electric potential thresholds and variations in R wave amplitudes influenced by posture, activity, and other factors, leading to incorrect identification of R waves and subsequent cardiac pause determinations.
Innovation Solution
A medical system that includes a sensing component and processors to determine potential cardiac pauses by analyzing electrograms, performing validation checks using multiple physiological parameters such as heart sounds and adjusting electric potential thresholds based on patient conditions, and confirming through morphological and frequency analyses to reduce false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single electric potential threshold is used to identify R waves, then the detection process is simple and fast, but false positives occur due to variations in R wave amplitudes influenced by posture and activity
Solution Approach 1:
The system dynamically adjusts the electric potential threshold based on detected patient conditions such as posture and activity level. The processor modifies the threshold value in real-time to match the expected R wave amplitude characteristics under different physiological states, thereby maintaining high detection accuracy without requiring complex manual intervention
Solution Approach 2:
The system changes the electric potential threshold parameter according to detected physiological conditions. When posture or activity changes are detected, the threshold parameter is automatically adjusted to compensate for corresponding changes in R wave amplitude, preventing false positives while maintaining operational simplicity
2Measurement precision
If multiple validation checks and analyses are performed to reduce false positives, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The system performs preliminary validation checks using easily obtainable parameters such as heart sounds and impedance changes before conducting more complex morphological and frequency analyses of the electrogram. This hierarchical approach filters out obvious false positives early, reducing the need for complex analyses in all cases
Solution Approach 2:
The system uses intermediate validation parameters such as heart sounds and impedance measurements as mediators between the initial R wave detection and the final cardiac pause determination. These intermediate checks provide additional confirmation without requiring full complex analysis, thereby improving accuracy while limiting complexity increase
3Measurement precision
If adaptive threshold adjustments are made based on patient conditions, then false positives are reduced, but processing time and computational load increase
Solution Approach 1:
The system performs adaptive threshold adjustments periodically based on detected changes in patient conditions such as posture or activity level, rather than continuously. This approach maintains detection accuracy by updating thresholds when needed while minimizing unnecessary processing during stable conditions
Solution Approach 2:
The system automatically detects changes in patient conditions and self-adjusts the electric potential threshold without requiring external intervention or complex real-time analysis. The processor monitors basic physiological indicators and autonomously modifies detection parameters, reducing computational overhead while maintaining accuracy
Data Source
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AI summary
Embodiments of the disclosure include systems and methods for reducing false positives in detection of pauses. For example, embodiments include a sensing component configured to obtain values of a first physiological parameter and determine a cardiac pause based on the values of the first physiological parameter. Furthermore, embodiments include performing a validation check of the determined cardiac pause using at least one of: the values of the first physiological parameter or values of a second physiological parameter.