Fetal ECG Extraction via Maternal Signal Coherence Attenuation
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Solution Overview
Problem
Current methods for extracting a fetal electrocardiogram (ECG) from external measurements are hindered by the overlap and interference from the maternal ECG, lacking a clinical standard for accurate and efficient isolation of the fetal ECG signal, which is crucial for monitoring fetal cardiac activity and detecting arrhythmias.
Innovation Solution
A method involving processing circuitry to determine coherence between maternal and abdominal ECGs, attenuate the maternal ECG, and extract the fetal ECG based on this coherence, using frequency domain analysis and machine learning for optimal parameter identification and signal enhancement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If external ECG measurements are used to monitor fetal cardiac activity, then non-invasive monitoring is achieved, but the fetal ECG signal is obscured by overlap and interference from the maternal ECG
Solution Approach 1:
The patent segments the mixed abdominal ECG signal into maternal and fetal components by determining coherence between maternal and abdominal ECGs in the frequency domain. This separation allows independent analysis and attenuation of the maternal ECG component, isolating the fetal ECG signal for accurate monitoring.
Solution Approach 2:
The patent extracts the fetal ECG signal from the composite abdominal ECG by first identifying and removing the maternal ECG component. The coherence-based attenuation method specifically targets and removes the maternal contribution, leaving the extracted fetal ECG for clinical analysis.
2Measurement precision
If traditional signal processing methods are used to separate fetal ECG from maternal ECG, then processing simplicity is maintained, but extraction accuracy and sensitivity are insufficient
Solution Approach 1:
The patent employs an iterative feedback mechanism where the extracted fetal ECG is continuously refined by recalculating coherence and adjusting attenuation parameters. This feedback loop improves extraction accuracy by progressively eliminating residual maternal ECG components and enhancing the fetal signal quality.
Solution Approach 2:
The patent changes processing parameters dynamically by determining coherence across different frequency bands and adjusting attenuation levels based on the calculated coherence values. This adaptive parameter adjustment optimizes the separation between maternal and fetal ECG components while maintaining processing efficiency.
3Reliability
If fetal ECG monitoring is performed to detect arrhythmias early, then fetal health outcomes can be improved, but the lack of clinical standard makes accurate isolation difficult
Solution Approach 1:
The patent performs preliminary coherence analysis and maternal ECG attenuation before final fetal ECG extraction and arrhythmia detection. This preliminary processing establishes a standardized workflow that improves reliability by ensuring consistent signal quality before clinical interpretation, while the automated nature maintains ease of implementation.
Data Source
AI summary
A method for extracting a fetal electrocardiogram (ECG). comprising determining, via processing circuitry, a coherence between a maternal ECG and an abdominal ECG, attenuating, via the processing circuitry, the maternal ECG independent of the coherence, and extracting, via the processing circuitry, the fetal ECG from the abdominal ECG based on the coherence and the attenuated maternal ECG.