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Optimization of bi-directional digital filtering for drift suppression in electrocardiogram signals
1Centre of Biomedical Engineering, Bulgarian Academy of Sciences, Sofia. iadoc@argo.bas.bg
Journal of Medical Engineering & Technology
|September 17, 2004
Summary
Baseline drift hinders electrocardiogram (ECG) analysis. We developed adaptable high-pass filtering to suppress drift while preserving crucial ECG waveform features for accurate interpretation.
Area of Science:
- Biomedical Engineering
- Signal Processing
Background:
- Baseline wander is a common artifact in electrocardiogram (ECG) signals.
- Existing drift suppression techniques often fail to preserve critical waveform morphology.
- This limitation impacts the accuracy of automated ECG measurement and interpretation.
Purpose of the Study:
- To introduce an advanced drift suppression method for ECG signals.
- To maintain the integrity of ECG waveform parameters during artifact removal.
- To improve the reliability of automated ECG analysis.
Main Methods:
- Proposing a high-pass filtering technique with an adaptable cut-off frequency.
- Implementing a method to control RS amplitude variations below a defined threshold.
- Ensuring ST segment shape remains within acceptable physiological limits.
Main Results:
- The adaptable filter effectively suppresses baseline drift.
- RS amplitude changes are maintained below the selectable threshold.
- ST segment morphology is preserved, ensuring signal fidelity.
Conclusions:
- The proposed adaptable high-pass filtering method offers superior drift suppression for ECGs.
- This technique enhances the accuracy of automated ECG interpretation by preserving key waveform features.
- It provides a robust solution for improving the quality of clinical ECG data.