In-sensor neural network for high energy efficiency analog-to-information conversion

This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-dimensional computing based on reservoir-computing paradigm to process electrocardiograph (ECG) signals locally in-sensor and reduce radio frequency transmission by more than three orders-of-magnitude...

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Detalles Bibliográficos
Autores principales: Sadasivuni, Sudarsan, Bhanushali, Sumukh Prashant, Banerjee, Imon, Sanyal, Arindam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617885/
https://www.ncbi.nlm.nih.gov/pubmed/36309584
http://dx.doi.org/10.1038/s41598-022-23100-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617885/
https://www.ncbi.nlm.nih.gov/pubmed/36309584
http://dx.doi.org/10.1038/s41598-022-23100-4

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