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An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection. (2024)

First Author: Ercan R

Attributed to: Next Generation Rehabilitation Technologies funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tvlsi.2024.3356161

PubMed Identifier: 38765316

Publication URI: http://europepmc.org/abstract/MED/38765316

Type: Journal Article/Review

Volume: 32

Parent Publication: IEEE transactions on very large scale integration (VLSI) systems

Issue: 4

ISSN: 1063-8210