ECG Arrhythmia Detection With Rate-Dependent Sensitivity Levels
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Solution Overview
Problem
Existing cardiac monitoring systems face challenges in accurately distinguishing between clinically relevant ECG segments indicative of heart rhythm disorders and false positives, leading to unnecessary storage and review costs, while also risking missed detections.
Innovation Solution
A system that utilizes rate-dependent sensitivity levels to prioritize the capture and analysis of ECG segments based on clinically relevant heart rates, assigning higher sensitivity to more significant rhythm abnormalities like high-rate tachycardia or low-rate bradycardia, and allowing for local or remote processing to optimize memory and communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic processing is used to detect all ECG segments, then detection completeness is improved, but false positive events increase
Solution Approach 1:
The patent applies different sensitivity levels to different heart rate ranges, making the detection system non-uniform. Clinically relevant heart rates (e.g., 50-150 bpm) use higher sensitivity to ensure detection completeness, while extreme heart rates use lower sensitivity to reduce false positives. This local differentiation resolves the contradiction by optimizing detection quality for each specific heart rate zone.
Solution Approach 2:
The patent dynamically changes the sensitivity parameter based on the detected heart rate. When the heart rate falls within clinically relevant ranges, the system increases sensitivity to capture all potential events. When heart rates are outside these ranges, sensitivity is reduced to minimize false alarms. This parameter adaptation allows the system to maintain high detection completeness while controlling false positive rates.
2Reliability
If high sensitivity is used to detect all arrhythmic events, then true positive detection is improved, but false positive events increase
Solution Approach 1:
The patent makes the sensitivity level dynamic rather than fixed. The system automatically adjusts sensitivity based on the current heart rate, increasing it when the heart rate indicates clinical relevance and decreasing it when the heart rate suggests a false positive is more likely. This dynamic adjustment resolves the contradiction by allowing high sensitivity only when truly needed.
Solution Approach 2:
The system changes the detection sensitivity parameter as a function of heart rate. By establishing multiple sensitivity levels corresponding to different heart rate zones, the patent enables the system to maintain high true positive detection in clinically relevant zones while reducing false positives in less relevant zones through parameter modification.
3Measurement precision
If all captured ECG segments are reviewed by HCPs, then detection accuracy is improved, but cost and time consumption increase
Solution Approach 1:
The patent extracts and filters out ECG segments that are unlikely to be clinically relevant based on heart rate criteria before presenting them for HCP review. By removing obviously non-relevant segments (those with extreme heart rates using lower sensitivity), the system reduces the review workload while maintaining accuracy for the segments that are presented, thus resolving the contradiction between detection accuracy and review time.
4Quantity of substance
If storage and communication of all captured segments is performed, then data completeness is improved, but system cost increases
Solution Approach 1:
The patent extracts only the most clinically relevant ECG segments for storage and communication based on heart rate-based sensitivity filtering. By excluding segments from heart rate zones with lower sensitivity assignments, the system reduces the quantity of data that needs to be stored and transmitted, thereby reducing power consumption while maintaining data completeness for clinically significant events.
Data Source
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AI summary
A system and method for detecting arrhythmic electrocardiogram (ECG) signals includes defining a plurality of threshold heart rates and rate-dependent sensitivity levels for detecting arrhythmic ECG episodes, wherein more clinically relevant heart rates are assigned rate-dependent sensitivity levels with higher sensitivities. ECG signals are monitored by a medical device, and monitored ECG signals are processed using the plurality of threshold heart rates and rate-dependent sensitivity levels to detect and capture arrhythmic ECG segments.