ECG Electrode Settling Detection for Rapid Noise-Qualified Acquisition
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Solution Overview
Problem
Current ECG monitoring systems require significant clinician involvement and time to determine when electrode settling is complete, leading to delays and potential retests due to premature data acquisition.
Innovation Solution
An ECG monitoring system that automatically monitors electrode impedance and noise levels to determine when reliable data is available, allowing for rapid acquisition and analysis without clinician intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If automatic monitoring of electrode impedance and noise levels is implemented, then ECG acquisition speed is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary monitoring of electrode impedance and noise levels before initiating the ECG recording. This advance assessment ensures that data quality criteria are met before acquisition begins, enabling rapid reliable ECG collection without requiring manual clinician evaluation of electrode settling status
Solution Approach 2:
The system continuously monitors impedance and noise levels during the acquisition process and provides real-time feedback to determine when reliable ECG data is available. This automated feedback mechanism replaces manual clinician assessment, speeding up acquisition while the automation software manages the increased complexity
2Measurement precision
If manual clinician assessment of electrode settling is used, then measurement precision is maintained, but loss of time increases
Solution Approach 1:
The system performs self-assessment of electrode settling by automatically monitoring its own impedance and noise level parameters. This self-service capability replaces manual clinician evaluation, maintaining measurement precision through objective criteria while eliminating the time loss associated with clinician assessment
Solution Approach 2:
The manual mechanical assessment process by clinicians is replaced with an automated electronic monitoring system that continuously measures impedance and noise levels. This substitution maintains measurement precision through consistent objective criteria while dramatically reducing the time clinicians spend assessing electrode settling
3Productivity
If rapid ECG acquisition is implemented, then productivity is improved, but reliability may worsen due to premature data acquisition
Solution Approach 1:
The system performs preliminary checks of impedance and noise levels before initiating ECG recording to ensure data quality criteria are met. This preliminary assessment enables rapid acquisition while preventing premature data collection, as the system verifies reliability conditions are satisfied before starting the timer
Solution Approach 2:
Continuous feedback monitoring of impedance and noise levels during acquisition ensures data reliability is maintained throughout the process. The system only confirms completion when predefined quality thresholds are met, providing rapid acquisition with guaranteed reliability through real-time quality assessment
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
Facilitates quick and reliable ECG data collection, reducing clinician time and minimizing the need for retests by ensuring high-quality data is obtained efficiently.
Implementation Method 1
two or more electrodes configured to record cardiac potentials from a patient
Implementation Method 2
determine that an impedance of each electrode is less than an impedance threshold
Data Source
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AI summary
In one embodiment, an ECG monitoring system includes two or more electrodes configured to record cardiac potentials from a patient, at least one processor, and a rapid acquisition module executable on the at least one processor to: determine that an impedance of each electrode is less than an impedance threshold; record initial ECG lead data based on the cardiac potentials; determine that a noise level in each ECG lead of the initial ECG data is less than a noise threshold; start a recording timer once the noise level is below the noise threshold; record an ECG dataset while the noise level is maintained below the noise threshold until the recording timer reaches a predetermined test duration; store the ECG dataset and provide a completion alert.