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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |