Paediatric Catheter Location via ECG Signal Analysis

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Solution Overview

Problem

Conventional methods for inserting central venous catheters in pediatric patients often result in incorrect placement, ineffective treatments, and physical injuries due to blind procedures and catheter migration, with existing ECG-based systems being unreliable, especially in newborns and young children where anatomical changes and heart rate variability pose significant challenges.

Innovation Solution

A data processing apparatus and method that utilizes ECG signal analysis to determine the location of a catheter tip by identifying R-wave and P-wave peaks, employing machine learning algorithms and normalization techniques to account for patient-specific and age-related variations, providing real-time feedback for accurate catheter placement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If ECG-based systems are used to determine catheter location, then measurement precision is improved, but reliability deteriorates in newborns and young children due to anatomical changes and heart rate variability

Engineering Contradiction:
Improvecatheter location determination accuracyVSAvoidsystem reliability in pediatric patients
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system dynamically adjusts analysis parameters including time window durations, amplitude thresholds, and frequency bands based on detected heart rate and patient age. This allows the ECG analysis to adapt to the varying physiological characteristics of pediatric patients, maintaining measurement precision across different developmental stages while improving reliability.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system implements dynamic adaptation by continuously monitoring heart rate and adjusting the ECG signal analysis parameters in real-time. The time windows for wave detection, amplitude thresholds for peak identification, and filtering parameters are automatically modified based on the current heart rate and patient characteristics, enabling the system to remain reliable across varying physiological conditions.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If blind catheter insertion procedures are used, then ease of operation is improved, but object-affected harmful factors increase due to incorrect placement and physical injury

Engineering Contradiction:
Improvecatheter insertion simplicityVSAvoidphysical injury and incorrect placement
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The system provides real-time feedback during catheter insertion by continuously analyzing ECG signals and displaying catheter location information. This feedback loop allows operators to monitor catheter advancement and adjust insertion depth based on electrical signal changes, maintaining procedural simplicity while eliminating the harmful effects of blind insertion through immediate location verification.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system replaces mechanical blind insertion with an electrical field-based guidance system. Instead of relying solely on physical landmarks and tactile feedback, the system uses ECG signal analysis to provide electrical field guidance for catheter placement, reducing physical injury risks while maintaining ease of operation through non-invasive monitoring.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Device complexity

If conventional ECG analysis methods are used, then device complexity is reduced, but measurement precision deteriorates due to inability to account for patient-specific variations

Engineering Contradiction:
Improvesignal processing complexityVSAvoidcatheter location accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system performs preliminary characterization of patient-specific ECG patterns before catheter insertion and during the procedure. By establishing baseline parameters and patient-specific signal characteristics in advance, the system can maintain relatively simple processing algorithms while achieving high measurement precision through pre-acquired physiological data.

Inventive Principle:
Principle #10Preliminary action

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 and accurate determination of catheter location, reducing the risk of misplacement and physical injuries by using ECG signal analysis and machine learning to account for individual and age-related variations, thereby improving treatment efficacy and safety in pediatric patients.

Implementation Method 1

receiving an electrocardiogram (ECG) signal from a tip of a catheter inserted in a paediatric patient

Methodology Applied
Scientific EffectElectrocardiography: Electric Field

Data Source

PatentEP3687394B1Catheter location determination in paediatric patients
Publication Date: 2024.08.21 NAVI MEDICAL TECH PTY LTD
  • EP3687394B1 patent drawingFigure 1~2
  • EP3687394B1 patent drawingFigure 3a
  • EP3687394B1 patent drawingFigure 3b

AI summary

When inserting a catheter or other medical equipment into a child or adolescent or other paediatric patient, ECG signals may be recorded from the catheter and the location of the catheter determined by analysing the ECG signals. A signal processor and user interface may receive recorded signals in real-time from the catheter while the catheter is inserted into the paediatric patient. The signal processor may analyse the ECG signals to determine the location of the catheter in the paediatric patient. The user interface may display the location of the catheter and other pertinent information to a user while the user is inserting the catheter. One method for determining the location may include determining R-wave and P-wave peaks of the ECG signal and determining the location from an average location of the R-wave and P-wave peaks in the ECG signal.