Publications by authors named "De-Xing Huang"
IEEE Trans Cybern
October 2024
Article Synopsis
- Current studies on brain-muscle modulation mainly focus on specific aspects of electrophysiological signals, leading to an incomplete understanding of their interaction.
- This article introduces a cross-modal generative model that translates brain activity (EEG) into muscle responses (EMG) to better understand this relationship.
- The model uses a two-stage process, with contrastive learning to identify shared movement-related information and generative adversarial networks (GANs) to improve EMG generation, showing promising results compared to traditional methods.
