Multimode Rate Analysis for Cardiac Signal Quality
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Solution Overview
Problem
Newer implantable and wearable cardiac devices without electrodes on or in the heart face challenges in accurately sensing cardiac signals due to increased variability, leading to undersensing or oversensing, which can result in inappropriate therapy delivery and hinder the differentiation between arrhythmias and non-arrhythmic conditions.
Innovation Solution
The implementation of a method in implantable cardiac devices that monitors cardiac signal quality and performs rate analysis using alternative methods beyond cardiac cycle detection, allowing for the determination of arrhythmia occurrence and appropriate sensing configuration changes to prevent inappropriate therapy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If subcutaneous or substernal sensing electrodes are used without electrodes on or in the heart, then device complexity is reduced and ease of manufacture is improved, but signal quality and measurement precision deteriorate due to increased variability from posture, activity, and disease state changes
Solution Approach 1:
The system dynamically changes sensing parameters including switching between multiple sensing configurations (bipolar, unipolar, combined vectors), adjusting filtering characteristics, and modifying detection thresholds based on real-time signal quality assessment to optimize measurement precision while maintaining the simplified subcutaneous electrode architecture
Solution Approach 2:
The sensing electrodes perform multiple functions by switching between different sensing configurations for different purposes: bipolar for standard R-wave detection, unipolar for signal quality assessment and noise rejection, and combined vectors for arrhythmia differentiation, allowing a single electrode set to replace what would traditionally require multiple specialized electrode arrangements
2Reliability
If signal quality monitoring and alternative rate analysis methods are implemented, then reliability of arrhythmia detection is improved, but device complexity increases due to additional algorithms and processing requirements
Solution Approach 1:
The system performs preliminary signal quality assessment and alternative rate analysis before declaring arrhythmias or triggering therapy, using pre-programmed algorithms to evaluate multiple sensing configurations and detect potential signal degradation early, preventing inappropriate arrhythmia declarations while using existing processing capabilities
Solution Approach 2:
The system implements continuous feedback loops where detected signal quality metrics feed back into automatic adjustment of sensing parameters, filtering settings, and detection thresholds, creating a self-optimizing system that improves reliability through real-time adaptation without requiring complex external control
Data Source
AI summary
Methods and devices adapted for cardiac signal analysis. A method or device has accessible to it more than one approach to cardiac cycle rate analysis and is adapted to monitor sensing signal quality. In response to an apparent reduction in signal quality or other trigger, the method or device checks whether an arrhythmia or an actual drop in signal quality is occurring prior to modifying sensing configurations or parameters.