Biomedical Signal Processing

Interactive application of LMS/RLS-based adaptive filters on biomedical signals.

Comparative noise removal methods for ECG, EEG and EMG signals.

An interactive exploration of biomedical data visualization methods.

Comparison of baseline drift/detrending methods for ECG and other biosignals.

Interactive demonstration of sources and removal methods of ECG artifacts.

The effect of EEG reference and ground electrode selection on the signal.

Interactive simulation of SNR gain by averaging event-related potentials.

Group delay and phase distortion in FIR (linear phase) and IIR (non-linear phase) filters.

Interactive signal decomposition simulation with Wavelet, EMD and ICA methods.

Biomedical signal separation laboratory with PCA, ICA and related methods.

Layer-by-layer representation of a typical biomedical signal processing pipeline.

Comparison of moving average, Gaussian, Savitzky-Golay and median filters on biosignal samples.

Alternative interactive representation of MA, Gaussian, Savitzky-Golay and median smoothing filters.

Interactive review of smoothing filters on different sample signals.

Demonstration of low-pass, high-pass, band-pass and notch spectral filters on ECG.