Cargando…
Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network
The treatment of refractory epilepsy via closed-loop implantable devices that act on seizures either by drug release or electrostimulation is a highly attractive option. For such implantable medical devices, efficient and low energy consumption, small size, and efficient processing architectures are...
Autores principales: | Bahr, Andreas, Schneider, Matthias, Francis, Maria Avitha, Lehmann, Hendrik M., Barg, Igor, Buschhoff, Anna-Sophia, Wulff, Peer, Strunskus, Thomas, Faupel, Franz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301882/ https://www.ncbi.nlm.nih.gov/pubmed/34201480 http://dx.doi.org/10.3390/bios11070203 |
Ejemplares similares
-
High Performance CISC, RISC and VLIW Processors
por: Rao, G S
Publicado: (1992) -
ECC Memory for Fault Tolerant RISC-V Processors
por: Dörflinger, Alexander, et al.
Publicado: (2020) -
Reward-based learning under hardware constraints—using a RISC processor embedded in a neuromorphic substrate
por: Friedmann, Simon, et al.
Publicado: (2013) -
A blocked implementation of level 3 BLAS for RISC processors
por: Daydé, M J, et al.
Publicado: (1996) -
CISC vs RISC: Bridging the Processor ArchitectuSoftware Gap
por: Vajda, F
Publicado: (1995)