Search Results for author: Andreas Schulze-Bonhage

Found 5 papers, 1 papers with code

Machine-Learning-Based Diagnostics of EEG Pathology

1 code implementation11 Feb 2020 Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball

The results demonstrate that the proposed feature-based decoding framework can achieve accuracies on the same level as state-of-the-art deep neural networks.

BIG-bench Machine Learning EEG +1

Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller

no code implementations12 Jun 2018 Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker

Most approaches for early seizure detection in the literature are, however, not optimized for implementation on ultra-low power microcontrollers required for long-term implantation.

EEG Electroencephalogram (EEG) +1

Intracranial Error Detection via Deep Learning

no code implementations4 May 2018 Martin Völker, Jiří Hammer, Robin T. Schirrmeister, Joos Behncke, Lukas D. J. Fiederer, Andreas Schulze-Bonhage, Petr Marusič, Wolfram Burgard, Tonio Ball

Deep learning techniques have revolutionized the field of machine learning and were recently successfully applied to various classification problems in noninvasive electroencephalography (EEG).

EEG Electroencephalogram (EEG)

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