A knowledge discovery methodology from EEG data for cyclic alternating pattern detection.
Fátima MachadoFrancisco SalesClara SantosAntónio DouradoCésar TeixeiraPublished in: Biomedical engineering online (2018)
We describe a KDD that, to the best of our knowledge, was for the first time applied to CAP scoring. In particular, the fully discrimination of the three different A-phases subtypes is a new perspective, since past works tried multi-class approaches but based on grouping of different sub-types. We also considered the weighted accuracy, in addition to simple accuracy, resulting in a more trustworthy performance assessment. Globally, better subtype sensitivities than other published approaches were achieved.