Applying Dimensionality Reduction Techniques in Source-Space Electroencephalography via Template and Magnetic Resonance Imaging-Derived Head Models to Continuously Decode Hand Trajectories
Several studies showed evidence supporting the possibility of hand trajectory decoding from low-frequency electroencephalography (EEG). However, the decoding in the source space via source localization is scarcely investigated. In this study, we tried to tackle the problem of collinearity due to the...
Main Authors: | Nitikorn Srisrisawang, Gernot R. Müller-Putz |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-03-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2022.830221/full |
Similar Items
-
Transfer Learning in Trajectory Decoding: Sensor or Source Space?
by: Nitikorn Srisrisawang, et al.
Published: (2023-03-01) -
Prognosis of comatose patients with reduced EEG montage by combining quantitative EEG features in various domains
by: Tao Tao, et al.
Published: (2023-12-01) -
Methods for motion artifact reduction in online brain-computer interface experiments: a systematic review
by: Mathias Schmoigl-Tonis, et al.
Published: (2023-10-01) -
Continuous error processing during a closed-loop 2D tracking task
by: Pulferer Hannah S., et al.
Published: (2022-09-01) -
Getting off track: Cortical feedback processing network modulated by continuous error signal during target-feedback mismatch
by: Hannah S. Pulferer, et al.
Published: (2023-07-01)