EOG segmentation using fast algorithms

A new method is presented for segmentation of rapidly time-varying signals based on fast least squares algorithms, due to their low complexity. The detection test used is based on the likelihood variable which appears explicitly in the fast algorithms. In order to show the performances of the method, it is applied to E.O.G. (electrooculograms) signals.<
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