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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