Cardiac Pacing System EGM Morphology Analysis
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Solution Overview
Problem
Cardiac pacing systems often fail to achieve effective capture of ventricles due to suboptimal lead placement, sensed or paced atrioventricular delays, and potential migration or dislodgement of pacing leads, necessitating a method to automatically determine and ensure optimal ventricular capture.
Innovation Solution
The system employs an effective capture test that analyzes signal characteristics such as maximum and minimum amplitudes and times to determine if a ventricular pacing stimulus effectively captures the ventricle, adjusting settings and providing diagnostic feedback to improve capture efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated capture verification is implemented using EGM morphology analysis, then diagnostic precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual visual inspection of electrogram morphologies with automated digital signal processing algorithms. The system automatically detects and measures EGM waveform characteristics (amplitude, duration, morphology) to determine capture status, substituting the mechanical/visual assessment process with computational analysis that increases precision while managing device complexity through software-based solutions.
Solution Approach 2:
The device performs self-verification of capture by automatically analyzing its own sensed EGM signals. The implantable device includes processing circuitry that continuously monitors post-pacing EGMs and autonomously determines whether capture occurred, eliminating the need for external clinician intervention for routine capture verification and enabling continuous automated monitoring.
2Reliability
If continuous capture monitoring is performed, then reliability is improved, but energy consumption increases
Solution Approach 1:
The system performs capture verification at periodic intervals rather than continuously. The device analyzes EGM morphology at scheduled moments (e.g., after each pacing stimulus or at defined intervals) to determine capture status, providing reliable monitoring information while consuming energy only during these discrete assessment periods rather than maintaining continuous high-power processing.
Solution Approach 2:
The device maintains continuous monitoring capability by continuously sensing EGM signals at low power, then performing intensive analysis only when needed for capture verification. The sensing circuitry operates continuously to capture cardiac electrical activity, while the processing function activates periodically to assess capture, combining continuous data acquisition with intermittent analysis to balance reliability and energy consumption.
Data Source
AI summary
The present disclosure pertains to cardiac pacing methods and systems, and, more particularly, to cardiac resynchronization therapy (CRT). In particular, the present disclosure pertains to determining the efficacy of CRT through use of an effective capture test (ECT). One or more embodiments comprises sensing a signal in response to a ventricular pacing stimulus. Through signal processing, a number of features are parsed from the signal. Exemplary features parsed from the signal include a maximum amplitude, a maximum time associated with the maximum amplitude, a minimum amplitude, and a minimum time associated with the minimum amplitude. The data is evaluated through use of the ECT. By employing the ECT, efficacy of CRT is easily and automatically evaluated. In one or more other embodiments, the reason for ineffective capture is displayed to the user. Exemplary reasons for ineffective capture include pseudo-fusion pacing and lack of capture of the ventricle.