Dynamic Heart Signal Threshold Adjustment for Arrhythmia Detection
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Solution Overview
Problem
Existing heart signal monitoring methods fail to accurately detect changes in heart signals, leading to issues like over-sensing or under-sensing, which can result in incorrect diagnoses and treatments, especially in cases where R wave or P wave amplitudes change with myocardial conditions, causing false positives or negatives in arrhythmia detection.
Innovation Solution
A heart signal monitoring method that determines first and second threshold value information within preset monitoring time intervals, using peak information and ratio calculations to assess whether heart signals are being accurately sensed, allowing for adjustments to sensing parameters and threshold values to prevent over-sensing or under-sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed threshold values are used for heart signal monitoring, then the monitoring method is simple, but the accuracy deteriorates when R wave or P wave amplitudes change with myocardial conditions
Solution Approach 1:
The patent implements dynamic threshold adjustment by continuously tracking the amplitude of R waves and P waves over time. The monitoring system adapts threshold values based on the actual signal characteristics, transitioning from fixed to dynamic thresholds that automatically adjust to changing myocardial conditions, thereby maintaining high detection accuracy without requiring complex manual intervention
Solution Approach 2:
The patent changes the parameter of threshold values from static to dynamic by introducing amplitude tracking mechanisms. The system monitors the peak amplitudes of R waves and P waves and adjusts the sensing thresholds accordingly, allowing the monitoring method to adapt to varying signal characteristics while maintaining a relatively simple overall structure
2Measurement precision
If monitoring parameters are adjusted frequently to adapt to signal changes, then the accuracy of detecting arrhythmias improves, but the device complexity increases
Solution Approach 1:
The patent implements a self-adjusting monitoring system that automatically tracks signal amplitude changes and modifies its own threshold parameters without external intervention. The device performs self-calibration by continuously analyzing the incoming heart signals and adapting its sensing parameters, thereby improving arrhythmia detection accuracy while avoiding the complexity of manual parameter adjustment mechanisms
Solution Approach 2:
The patent incorporates a feedback mechanism where the monitoring system continuously evaluates the detected R wave and P wave amplitudes and uses this information to adjust its sensing thresholds. This closed-loop approach ensures high detection accuracy by constantly adapting to signal changes while maintaining automated operation that does not significantly increase device complexity
3Device complexity
If traditional monitoring methods are used, then the device structure remains simple, but false alarms occur due to over-sensing or under-sensing
Solution Approach 1:
The patent employs dynamic threshold tracking to prevent false alarms caused by fixed thresholds becoming inappropriate under varying myocardial conditions. By continuously adapting the sensing thresholds to match the actual signal amplitudes, the system maintains high reliability without requiring complex additional verification mechanisms, thus resolving the contradiction between simplicity and reliability
Data Source
AI summary
Disclosed are a heart signal monitoring method, a heart signal monitoring apparatus, a storage medium and an electronic device, relating to the field of medical data processing technologies. The heart signal monitoring method includes: determining, based on a first monitoring wave in an electrocardiogram, first threshold value information corresponding to the first monitoring wave within a preset monitoring time interval; and determining, based on the first threshold value information, first monitoring assessment information corresponding to the first monitoring wave. The present disclosure achieves accurate monitoring of heart signals. Specifically, the preset monitoring time interval for the first monitoring wave is limited based on the actual situation of the first monitoring wave, and the first monitoring assessment information is determined based on the first threshold value information, such that the actual situation of the first monitoring wave is taken into full consideration, thereby improving precision of monitoring of a heart signal.