BEST LECTURE NOTES ON BIOMEDICAL SIGNAL PROCESSING

Introduction to biomedical signals and their processing

Recapitulation of essential techniques

Frequency domain analysis

Signal modeling

Analysis of non-stationary signals

Removal of artifacts and interference

Event detection

Artificial neural networks

Wavelet techniques

Nonlinear dynamics and measures of complexity

Preprocessing and feature extraction

Evaluation and assessment of methods

Case: Measuring depth of anesthesia

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