Septal Wall Electrode Depth Control via Cardiac Morphology
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Solution Overview
Problem
Current methods for implanting septal wall electrodes face challenges in accurately targeting the left bundle branch (LBB) during lead placement, leading to potential perforation of the septum and suboptimal pacing results due to limited real-time feedback on lead placement depth.
Innovation Solution
A system comprising a lead, a monitor, and processors configured to obtain cardiac activity signals and determine the target depth within the septal wall based on morphology data, such as changes in QRS width and peak-to-peak amplitude, to ensure precise placement proximate to the LBB without perforating the LV septum.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the lead is advanced deep into the ventricular septum to target the LBB, then the pacing effectiveness is improved, but the risk of perforating the LV septum side wall increases
Solution Approach 1:
The system continuously monitors cardiac activity signals and analyzes morphology data (QRS width, amplitude) to provide real-time feedback on lead depth and position. This feedback loop enables dynamic adjustment of lead advancement, allowing the operator to achieve deep septal placement for effective LBB pacing while receiving continuous information about proximity to perforation risk zones.
Solution Approach 2:
The patent replaces purely mechanical depth estimation methods with an electrical/biological sensing system that uses cardiac activity signal morphology analysis. Instead of relying on mechanical depth markers or visual estimation, the system uses electrical signal characteristics (QRS width changes, amplitude variations) to determine lead position, providing more accurate and safer depth control.
2Measurement precision
If real-time monitoring of cardiac activity signals is implemented, then the accuracy of lead placement is improved, but the device complexity increases
Solution Approach 1:
The monitoring system serves multiple functions: it provides real-time feedback on lead depth, confirms proper LBB targeting, and detects potential complications. By using the same cardiac activity signal acquisition and morphology analysis for multiple purposes, the system achieves high measurement precision without proportionally increasing complexity, as the core processing infrastructure supports multiple applications.
Solution Approach 2:
The system uses the heart's own electrical signals (intrinsic cardiac activity) as the sensing source, eliminating the need for external or additional complex sensing mechanisms. The morphology analysis of these self-generated signals provides placement accuracy information, allowing the system to leverage the patient's own physiology for diagnostic and guidance purposes.
Data Source
AI summary
A system is provided that includes a lead configured to be located within a septal wall, a monitor configured to obtain cardiac activity signals, and a memory configured to store program instructions. The system also includes one or more processors that, when executing the program instructions, are configured to obtain morphology data related to the cardiac activity signals indicative of the lead located at different depths within the septal wall, the morphology data including a set of data values associated with different depths of the lead within the septal wall, and determine when the lead is located at a target depth within the septal wall based on the morphology data.


