Reconstructing Bioelectronic Lead Placement via Signal Relationships
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Solution Overview
Problem
Existing electrophysiology (EP) monitoring systems face challenges in accurately reconstructing the spatial distribution of multiple leads/electrodes due to movement-related misplacement during long-term monitoring or surgery, leading to incorrect readings.
Innovation Solution
A system and method that utilize a processor to determine relationships between EP signals, reconstruct the geometry of electrodes based on these relationships, and apply the Fruchterman-Reingold optimization method to fit a weighted graph in 2D or 3D space, allowing for the identification and correction of misplacement and recommendation of optimal electrode placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple surface leads/electrodes are attached at specific positions for EP monitoring, then useful EP signals can be obtained, but the placement may be disturbed due to patient movement during long-term monitoring or surgery
Solution Approach 1:
The system continuously monitors EP signals and uses the relationship analyses between signals from multiple electrodes to detect placement changes in real-time. By analyzing signal characteristics and temporal relationships, the system provides feedback about electrode position status, enabling detection of misplacement events during long-term monitoring or surgery.
Solution Approach 2:
Instead of relying on mechanical fixation of electrodes to maintain placement stability, the system substitutes a computational approach by analyzing electrical signal relationships to reconstruct and track electrode geometry. This replaces the need for purely mechanical stabilization with an information-based monitoring and correction system.
2Measurement precision
If electrode placement is disturbed due to patient movement, then incorrect readings result, but repositioning requires manual intervention and time
Solution Approach 1:
The system performs preliminary reconstruction of electrode geometry from signal relationships to establish baseline placement information. When misplacement is detected, the system can predict optimal repositioning locations based on the reconstructed geometry and signal characteristics, enabling faster correction without requiring extensive manual search or trial-and-error repositioning.
Solution Approach 2:
The system automatically detects electrode misplacement through signal relationship analysis and provides self-service by identifying correction recommendations without requiring continuous manual monitoring or intervention. The automated detection and recommendation system reduces the time burden on healthcare providers while maintaining measurement precision.
3Reliability
If traditional EP monitoring systems are used without reconstruction capability, then the system is simpler, but it cannot automatically identify or correct misplacement
Solution Approach 1:
The system uses the existing multi-lead EP monitoring infrastructure for dual purposes: both traditional EP signal acquisition and geometric reconstruction of electrode placement. By analyzing relationships between signals already being collected for clinical monitoring, the system adds placement verification and correction capabilities without requiring separate dedicated sensors or systems, thus managing complexity while enhancing reliability.
Data Source
AI summary
Methods, systems, and media are disclosed for reconstructing bioelectronic lead placement. In some embodiments, the disclosed system can include a processor configured to determine relationships between EP signals of one or more pairs of a plurality of electrodes over one or more sampling time periods, wherein the plurality electrodes are separately placed on a patient's body for collecting the EP signals, and to reconstruct geometry of the plurality of electrodes based on the relationships between the EP signals.