Crossmark

MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network

Crossref DOI link: https://doi.org/10.1007/s00521-022-08111-6

Published Online: 2022-12-21

Published Print: 2023-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mahmud, Sakib

Hossain, Md Shafayet

Chowdhury, Muhammad E. H. https://orcid.org/0000-0003-0744-8206
Reaz, Mamun Bin Ibne
Funding

Funding for this research was provided by:

Qatar National Research Fund (NPRP12S-0227-190164)

International Research Collaboration Co-Fund (IRCC-2021-001)

Universiti Kebangsaan Malaysia (GUP-2021-019)

Universiti Kebangsaan Malaysia (DIP-2020-004)

Qatar University
License Information

Text and Data Mining valid from 2022-12-21

Version of Record valid from 2022-12-21
More Information

Article History

Received: 17 June 2022

Accepted: 22 November 2022

First Online: 21 December 2022

Declarations

:

: The authors declare that they have no conflict of interest.

Document is current

Any future updates will be listed below