Abstract / truncated to 115 words (read the full abstract)

The purpose of this thesis is to describe novel signal processing methodologies and analog integrated circuit techniques for low-power biomedical systems. Physiological signals, such as the electrocardiogram (ECG), the electroencephalogram (EEG) and the electromyogram (EMG) are mostly non-stationary. The main difficulty in dealing with biomedical signal processing is that the information of interest is often a combination of features that are well localized temporally (e.g., spikes) and others that are more diffuse (e.g., small oscillations). This requires the use of analysis methods sufficiently versatile to handle events that can be at opposite extremes in terms of their time-frequency localization. Wavelet Transform (WT) has been extensively used in biomedical signal processing, mainly due to the versatility ... toggle 12 keywords

biomedical systems – pacemakers – wavelet transform – analog signal processing – analog wavelet filters – low-power analog integrators – translinear circuits – log-domain filters – gmc filters – class ab sinh integrators – analog integrated circuits – electronics

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