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Nonlinear high pass filter for R-wave detection in ECG signal
L Keselbrener1, M Keselbrener, S Akselrod
1Abramsom Center for Medical Physics, Sackler Faculty of Exact Sciences, Tel Aviv University, Israel.
Medical Engineering & Physics
|July 1, 1997
Summary
This study introduces a straightforward method for detecting R-waves in electrocardiogram (ECG) signals using a nonlinear median filter. The technique effectively isolates R-waves, even with baseline drift, enabling accurate ECG analysis.
Area of Science:
- Biomedical Engineering
- Signal Processing
Background:
- Electrocardiogram (ECG) signal analysis is crucial for diagnosing cardiac conditions.
- Accurate R-wave detection is fundamental for calculating heart rate and rhythm.
- Existing methods can be sensitive to baseline wander and signal noise.
Purpose of the Study:
- To develop a simple and robust method for R-wave detection in ECG signals.
- To minimize the impact of baseline drift on R-wave detection accuracy.
- To provide a reliable tool for automated ECG analysis.
Main Methods:
- A nonlinear median filter is applied to the raw ECG signal to create a smoothed version.
- The smoothed signal is subtracted from the original ECG signal.
- The resulting signal, free from baseline drift, allows for R-wave identification.
- A simple thresholding technique is used for final R-wave detection.
Main Results:
- The method successfully isolated undistorted R-waves from ECG signals.
- Simulated and real experimental data demonstrated high accuracy, with average errors around 10(-8)s for 1-second RR intervals.
- The technique proved effective even in the presence of significant baseline drift and signal shape variations.
Conclusions:
- The proposed method offers a simple, accurate, and robust approach for R-wave detection in ECG.
- This technique is suitable for automated analysis of ECG signals, even those with challenging baseline characteristics.
- The method has potential applications in clinical diagnostics and remote patient monitoring.