Robots and Physical Computing

Use of evolutionary algorithms to select filters for evoked potential enhancement Scott Turner University of Leicester Published: 2000 http://hdl.handle.net/2381/29366 DOI: 10.13140/RG.2.1.3654.3204 Abstract Evoked potentials are electrical signals produced by the nervous system in response to a stimulus. In general these signals are noisy with a low signal to noise ratio. The aim was to investigate ways of extracting the evoked response within an evoked potential recording, achieving a similar signal to noise ratio as conventional averaging but with less repetitions per average. In this thesis, evolutionary algorithms were used in three ways to extract the evoked potentials from a noisy background. First, evolutionary algorithms selected the cut-off frequencies for a set of filters. A different filter or filter bank was produced for each data set. The noisy signal was passed through each filter in a bank of filters the filter bank output was a weighted sum of the individ...