Work

Motor-Imagery-Classification: WGAN-GP Data Augmentation for MI-EEG Classification

Year: 2026

Type: software

Abstract: Code accompanying "Motor Imagery Classification Performance Enhancement with EEG Data Augmentation via Wasserstein Generative Adversarial Networks". Implements a WGAN-GP-based augmentation pipeline for BCI Competition IV 2a motor-imagery EEG classification, using continuous wavelet transform (CWT) scalograms and a CNN classifier under a leakage-controlled within-subject evaluation protocol.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22870347

Authors: Mann, Mukesh, Badoni, Rakesh P., Sharma, Alok, Chaganti, Venkatarami Reddy, Stanimirović, Predrag S., Panwar, Deepak

Institutions: Indian Institute of Information Technology, Sonepat, Mahindra University, University of Nis, Manipal University Jaipur

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7213865397

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