Evolutionary Biomedical Signal Processing Techniques

Digital Signal Processing techniques constitute the basic scientific approach used in most of the current advances in medicine. In particular, the development of algorithms in order to extract, predict and model raw biomedical data series has revolutionized many routine, but data-intensive, areas of current medical practice. In this contribution, we present an evolutionary technique for modelling and analysing Non-linear Time Series (NLTS). The proposed methodology has been already used in two cases with great biomedical importance and we therefore explore its effectiveness on other biomedical signals.