Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3174528
Abstract: Brain-computer interface (BCI) actively translates the brain signals into executable actions by establishing direct communication between the human brain and external devices. Recording brain activity through electroencephalography (EEG) is generally contaminated with both physiological and… read more here.
Keywords: bci; artifact subspace; asr; anti hebbian ... See more keywords
A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2019.00141
Abstract: 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… read more here.
Keywords: artifact; riemannian modification; subspace reconstruction; subspace ... See more keywords