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An Optimized EEG-Based Seizure Detection Algorithm for Implantable Devices
Evaluates electrode-selection methods and machine-learning seizure detectors for energy-efficient implantable epilepsy devices.
Dr. Farrokh Manzouri
,
Lakshay Khurana
,
Kristina Kravalis
,
Thomas Stieglitz
,
Andreas Schulze-Bonhage
,
Matthias Dümpelmann
Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection
Presents a microcontroller-based CNN for energy-efficient seizure detection in implantable closed-loop devices.
Simon Heller
,
Maria Hügle
,
Iman Nematollahi
,
Dr. Farrokh Manzouri
,
Matthias Dümpelmann
,
Andreas Schulze-Bonhage
,
Joschka Boedecker
,
Peter Woias
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller
Develops and compares a CNN for early seizure detection under low-power microcontroller constraints.
Maria Hügle
,
Simon Heller
,
Manuel Watter
,
Manuel Blum
,
Dr. Farrokh Manzouri
,
Matthias Dümpelmann
,
Andreas Schulze-Bonhage
,
Peter Woias
,
Joschka Boedecker
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