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

Publication URI: http://dx.doi.org/10.1109/tvlsi.2024.3356161

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Issue: 4