Pacemaker Signal Detection Morphology Analysis
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Solution Overview
Problem
Current pacemaker signal detection methods face challenges in precision due to reduced signal amplitudes from power-saving measures and interference vulnerability, especially in clinical settings where adaptive detection is needed.
Innovation Solution
A method and system for detecting pacemaker signals that involve pre-processing, calculating basic morphological features such as width, slew rate, and amplitude, and confirming signal authenticity, with adaptive threshold adjustments to enhance detection precision and immunity to noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If power consumption is reduced to extend battery service life, then battery service life is improved, but pacemaker signal amplitude decreases making detection more difficult
Solution Approach 1:
The patent changes the detection parameters from simple amplitude threshold to multi-feature parameters including slew rate, width, and morphology characteristics. This allows detection of low-amplitude signals by evaluating multiple parameters simultaneously, resolving the contradiction between reduced signal amplitude and detection precision.
Solution Approach 2:
The patent replaces hardware-based detection mechanisms with software-based signal processing algorithms. By using digital signal processing to analyze morphology features, the system achieves high detection precision without requiring hardware modifications that would increase power consumption.
2Device complexity
If hardware detection method with fixed threshold is used, then device complexity is reduced, but detection sensitivity and immunity to interference deteriorate
Solution Approach 1:
The patent implements adaptive threshold adjustment where detection thresholds dynamically adapt to ambient noise levels and signal characteristics. The system continuously learns from incoming signals and adjusts parameters accordingly, maintaining high reliability without increasing hardware complexity.
Solution Approach 2:
The patent incorporates feedback mechanisms where detection results and noise patterns are fed back to adjust detection parameters. This closed-loop approach allows the system to maintain optimal detection performance under varying interference conditions while using simple software-based implementation.
Data Source
AI summary
The present invention provides a pacemaker signal detecting method, a pacemaker signal detecting system, and an electrocardial detecting device. The pacemaker signal detecting system pre-processes an original pacemaker signal separated from a pacemaker electrocardial signal, calculates a number of basic morphological features based on the pre-processed original pacemaker signal, confirms an authenticity of a pacemaker signal according to the calculated basic morphological features, and records positions of the true pacemaker signal has been confirmed. The basic morphological features include a width, a slew rate, and amplitude of the pacemaker signal. The electrocardial detecting device of the present invention can detect the pacemaker signal more precisely and output the electrocardial signal marked with the pacemaker signal.