Table 1 Average removal performance of different artifacts at different signal-to-noise ratio levels.

From: A novel EEG artifact removal algorithm based on an advanced attention mechanism

Artifact type

Method

Loss

SNR

RRMSEt

RRMSEf

CC

EMG

1D-ResCNN

0.096

7.474

0.393

0.444

0.891

NovelCNN

0.069

11.570

0.342

0.319

0.934

DuoCL

0.061

11.670

0.286

0.308

0.933

CLEnet

0.059

11.929

0.283

0.300

0.935

EOG

1D-ResCNN

0.062

11.410

0.311

0.309

0.936

NovelCNN

0.084

11.344

0.356

0.338

0.921

DuoCL

0.059

12.881

0.270

0.284

0.939

CLEnet

0.060

12.337

0.274

0.287

0.934

EMG + EOG

1D-ResCNN

0.098

7.383

0.403

0.447

0.889

NovelCNN

0.084

10.950

0.372

0.346

0.917

DuoCL

0.070

11.388

0.307

0.320

0.925

CLEnet

0.068

11.498

0.300

0.319

0.925