Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models
Thomas Tveitstøl,
Mats Tveter,
Ana S. Pérez T.
et al.
Abstract:IntroductionA challenge when applying an artificial intelligence (AI) deep learning (DL) approach to novel electroencephalography (EEG) data, is the DL architecture's lack of adaptability to changing numbers of EEG channels. That is, the number of channels cannot vary neither in the training data, nor upon deployment. Such highly specific hardware constraints put major limitations on the clinical usability and scalability of the DL models.MethodsIn this work, we propose a technique for handling such varied num… Show more
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