Ontology highlight
ABSTRACT:
SUBMITTER: Blum S
PROVIDER: S-EPMC6499032 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Frontiers in human neuroscience 20190426
Artifact Subspace Reconstruction (ASR) is an adaptive method for the online or offline correction of artifacts comprising multichannel electroencephalography (EEG) recordings. It repeatedly computes a principal component analysis (PCA) on covariance matrices to detect artifacts based on their statistical properties in the component subspace. We adapted the existing ASR implementation by using Riemannian geometry for covariance matrix processing. EEG data that were recorded on smartphone in both ...[more]