A neuromorphic physiological signal processing system based on VO
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
21 06 2023
21 06 2023
Historique:
received:
21
01
2023
accepted:
08
06
2023
medline:
23
6
2023
pubmed:
22
6
2023
entrez:
21
6
2023
Statut:
epublish
Résumé
Physiological signal processing plays a key role in next-generation human-machine interfaces as physiological signals provide rich cognition- and health-related information. However, the explosion of physiological signal data presents challenges for traditional systems. Here, we propose a highly efficient neuromorphic physiological signal processing system based on VO
Identifiants
pubmed: 37344448
doi: 10.1038/s41467-023-39430-4
pii: 10.1038/s41467-023-39430-4
pmc: PMC10284901
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3695Informations de copyright
© 2023. The Author(s).
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