A Computerized Bioinspired Methodology for Lightweight and Reliable Neural Telemetry

Personalized health monitoring of neural signals usually results in a very large dataset, the processing and transmission of which require considerable energy, storage, and processing time. We present bioinspired electroceptive compressive sensing (BeCoS) as an approach for minimizing these penaltie...

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Detalles Bibliográficos
Autores principales: Adeluyi, Olufemi, Risco-Castillo, Miguel A., Liz Crespo, María, Cicuttin, Andres, Lee, Jeong-A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696551/
https://www.ncbi.nlm.nih.gov/pubmed/33198191
http://dx.doi.org/10.3390/s20226461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696551/
https://www.ncbi.nlm.nih.gov/pubmed/33198191
http://dx.doi.org/10.3390/s20226461

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