📉 ECG Detrending Methods
Compare different detrending methods to remove baseline drift
🎓 What is Detrending and Why is it Important?
Baseline driftare slow, low-frequency fluctuations in the ECG signal.
It is caused by factors such as breathing, patient movement, or electrode placement.
Detrending obtains a clean ECG by estimating this trend component and subtracting it from the signal.
📏 Linear Detrending
- The simplest method
- Trend forecast with straight line
- Fast and clear
- For linear trends only
📐 Polynomial Detrending
- Higher order curves
- For complex trends
- Derece ayarlanabilir (2-6)
- Overfitting riski var
🎯 Cubic Spline
- Piecewise cubic interpolation
- Flexibility with knot points
- Smooth and continuous
- Lokal adaptasyon
⚡ Smoothness Priors
- Penalized least squares
- Smoothness control with Lambda
- Optimal trend-noise dengesi
- Whittaker smoother benzeri
📏 Linear Detrending
💡 Tip: The simplest method. It only removes the trend with a straight line.
📐 Polynomial Detrending
💡 Tip: Captures highly complex trends but risk of overfitting!
🎯 Cubic Spline Interpolation
💡 Tip: More knots = more flexible trend but can be extremely choppy.
⚡ Smoothness Priors
💡 Tip: Low lambda = smoother, high lambda = more detail.
📊 Comparison of All Detrending Methods
📈 Predicted Trends
📏 Linear Detrending
📐 Polynomial Detrending
🎯 Cubic Spline
⚡ Smoothness Priors
🔍 Detailed View - Detrending Effect