2 papers
cs.LG2021
On the interpretation of linear Riemannian tangent space model parameters in M/EEG
Reinmar J. Kobler, Jun-Ichiro Hirayama, Lea Hehenberger Catarina Lopes-Dias +2
Riemannian tangent space methods offer state-of-the-art performance in magnetoencephalography (MEG) and electroencephalography (EEG) based applications such as brain-computer inter…
eess.SP2019
HEAR to remove pops and drifts: the high-variance electrode artifact removal (HEAR) algorithm
Reinmar J. Kobler, Andreea I. Sburlea, Valeria Mondini +1
A high fraction of artifact-free signals is highly desirable in functional neuroimaging and brain-computer interfacing (BCI). We present the high-variance electrode artifact remova…