Catheter Impedance Model for Tissue Localization

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Solution Overview

Problem

Accurately identifying and targeting specific tissue types within the body during medical procedures using catheter-based systems is challenging due to the variability of tissue properties, especially in environments like the heart, where precise localization and characterization are invasive and difficult.

Innovation Solution

A catheter assembly with a plurality of electrodes arranged in constraint pairs, a processor, and memory that generates relative configurations, records voltage data, maps impedance metrics, and creates an impedance model to facilitate precise tissue identification and treatment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If catheter-based systems are used to identify and target specific tissue types, then the ability to perform minimally invasive procedures is improved, but the precision of tissue localization and characterization deteriorates due to tissue property variability

Engineering Contradiction:
Improveminimally invasive capabilityVSAvoidtissue localization precision
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The catheter tip is segmented into multiple electrodes arranged in constraint pairs, allowing the system to divide the measurement task into multiple localized impedance measurements. This segmentation enables precise tissue characterization by collecting data from multiple discrete points while maintaining the minimally invasive catheter-based approach.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system measures electrical impedance parameters to characterize tissue properties. By changing the measurement parameters (impedance metrics) and analyzing variations in electrical properties across different tissue types, the system achieves precise tissue localization and characterization without requiring more invasive procedures.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If multiple electrodes are used to improve tissue characterization accuracy, then the measurement precision is improved, but the device complexity increases

Engineering Contradiction:
Improvetissue characterization accuracyVSAvoidcatheter structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Multiple electrodes are merged into a single catheter assembly with integrated circuitry. The electrodes, constraint pairs, and processing components are combined into one unified device, allowing improved tissue characterization through multiple measurements while avoiding the complexity of multiple separate devices or procedures.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The catheter assembly is designed with multi-functionality, serving both as a delivery mechanism and a measurement platform. The same catheter structure that delivers therapy also performs impedance measurements and tissue characterization, eliminating the need for separate diagnostic and therapeutic devices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If impedance modeling is performed to differentiate tissue types, then the diagnostic accuracy is improved, but the processing time and computational requirements increase

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidmodel generation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary impedance measurements and data collection during the catheter insertion and positioning phase. By gathering measurement data early in the procedure and continuously updating the impedance model as the catheter moves, the system reduces the time required for final tissue characterization and treatment planning.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The impedance modeling system uses feedback from real-time measurements to continuously refine tissue characterization. As the catheter moves and new impedance data is collected, the model is updated iteratively, allowing accurate tissue differentiation without requiring lengthy offline processing or additional measurement phases.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The solution enables precise localization and characterization of tissues, improving the accuracy and safety of medical procedures by generating an impedance model that differentiates between various tissue types based on their electrical properties, aiding in targeted therapeutic interventions.

Implementation Method 1

map a plurality of impedance metrics for each relative configuration as a function of the voltage data

Methodology Applied
Scientific EffectElectrical Impedance: Electrical Resistance

Data Source

PatentUS12198572B1Apparatus and a method for the generation of an impedance model of a biological chamber
Publication Date: 2025.01.14 ANUMANA INC
  • US12198572B1 patent drawing
  • US12198572B1 patent drawing
  • US12198572B1 patent drawing

AI summary

An apparatus for the generation of an impedance model of a biological chamber is disclosed. The apparatus includes a catheter assembly comprising a plurality of electrodes arranged into one or more constraint pairs. The apparatus includes a processor and a memory communicatively connected to the processor. The memory instructs the processor to receive tank data. The memory instructs the processor to generate a plurality of relative configurations of the plurality of electrodes as a function of the tank data using a compliant configuration generator. The memory instructs the processor to record voltage data from the plurality of electrodes within a biological chamber as a function of the plurality of relative configurations. The memory instructs the processor to map a plurality of impedance metrics for each relative configuration as a function of the voltage data. The memory instructs the processor to generate an impedance model as a function of the map.