Biomedical engineering notes – Biomedical signal processing

Recall general signal processing aspects, introduce new methods and examine various clinical and research application fields. Methods. From deterministic to stochastic filtering: the Wiener filter. Stochastic parametric analysis: mono and multi-variate AR/MA/ARMA models and parametric spectral analysis. Principal component analysis. Entropy in signal processing. Applications. Automatic analysis and classification of the electrocardiographic signal (ECG). The autonomic nervous system, cardiovascular variability signals, and cardiorespiratory interactions. Foetal ECG signal. High resolution ECG and late ventricular potentials. The central nervous system: processing of the electroencephalographic signal (EEG).


Biomedical engineering notes

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