📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A systematic review on artifact removal and classification techniques for enhanced MEG-based BCI systems (2023)

First Author: Susan Philip B

Attributed to: Upgrading Magnetoencephalography (MEG) system with Internal Helium Recycler (IHR) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/2326263x.2023.2233368

Publication URI: http://dx.doi.org/10.1080/2326263x.2023.2233368

Type: Journal Article/Review

Parent Publication: Brain-Computer Interfaces

Issue: 2-4