Search Results for author: Thomas Strypsteen

Found 3 papers, 0 papers with code

A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks

no code implementations16 Aug 2023 Thomas Strypsteen, Alexander Bertrand

We then show how we can use this dynamic selection to increase the lifetime of a wireless sensor network (WSN) by imposing constraints on how often each node is allowed to transmit.

EEG

Bandwidth-efficient distributed neural network architectures with application to body sensor networks

no code implementations14 Oct 2022 Thomas Strypsteen, Alexander Bertrand

In this paper, we describe a conceptual design methodology to design distributed neural network architectures that can perform efficient inference within sensor networks with communication bandwidth constraints.

Classification EEG +2

End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax

no code implementations11 Feb 2021 Thomas Strypsteen, Alexander Bertrand

Many electroencephalography (EEG) applications rely on channel selection methods to remove the least informative channels, e. g., to reduce the amount of electrodes to be mounted, to decrease the computational load, or to reduce overfitting effects and improve performance.

EEG Electroencephalogram (EEG)

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