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...
Main Authors: | Olufemi Adeluyi, Miguel A. Risco-Castillo, María Liz Crespo, Andres Cicuttin, Jeong-A Lee |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/22/6461 |
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