Phase-Locked Time-Shift Data Augmentation Method for SSVEP Brain-Computer Interfaces

Phase-Locked Time-Shift Data Augmentation Method for SSVEP Brain-Computer Interfaces

Steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) have achieved an information transfer rate (ITR) of over 300 bits/min, but abundant training data is required. The performance of SSVEP algorithms deteriorates greatly under limited data, and the existing time-shift...

Full description

Bibliographic Details
Main Authors: Ximing Mai, Jikun Ai, Yuxuan Wei, Xiangyang Zhu, Jianjun Meng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain-computer interfaces (BCIs)
data augmentation
phase-locked time-shift (PLTS)
steady-state visual evoked potential (SSVEP)
Online Access:https://ieeexplore.ieee.org/document/10275122/

Internet

https://ieeexplore.ieee.org/document/10275122/

Similar Items