د. محمد أبوزيد البرواني

Biosignal Processing

Signal processing is concerned with the representation, manipulation, and transformation of signals and the information that they carry.  For example, we may wish to enhance a signal by reducing the noise or some other interference.  Or process the signal to extract some information such as the words in a speech signal, the identity of a person in a photograph, or the classification of a target in a radar signal. 

Biomedical signal processing is concerned with the analysis of physiological signals such as the electroencephalogram (EEG), the blood pressure wave, the electrocardiogram (ECG), …etc.  The most beneficial aspect of this analysis is to extract information from these signals.  This information can be used in automated interpretation and classification of the case or to facilitate, accelerate and support clinical decision-making.  Examples of the tools used in signal processing techniques include linear and non-linear filtering, power spectral analysis, time frequency analysis, higher-order statistics and neural networks.

                                       (under construction)        More to be added later ..............