Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Single Shot Reversible GAN for BCG artifact removal in simultaneous
  EEG-fMRI   Simultaneous EEG-fMRI acquisition and analysis technology has been widely
used in various research fields of brain science. However, how to remove the
ballistocardiogram (BCG) artifacts in this scenario remains a huge challenge.
Because it is impossible to obtain clean and BCG-contaminated EEG signals at
the same time, BCG artifact removal is a typical unpaired signal-to-signal
problem. To solve this problem, this paper proposed a new GAN training model -
Single Shot Reversible GAN (SSRGAN). The model is allowing bidirectional input
to better combine the characteristics of the two types of signals, instead of
using two independent models for bidirectional conversion as in the past.
Furthermore, the model is decomposed into multiple independent convolutional
blocks with specific functions. Through additional training of the blocks, the
local representation ability of the model is improved, thereby improving the
overall model performance. Experimental results show that, compared with
existing methods, the method proposed in this paper can remove BCG artifacts
more effectively and retain the useful EEG information.

28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph