Therefore, a preprocessing step to remove artifacts is extremely important. This paper presents an effective artifact removal algorithm, based on Independent ...
removal. N. Nicolaou et al propose an artifact removal algorithm via hierarchical clustering based on auto-mutual information [6]. M. Milanesi et al utilize ...
Therefore, a preprocessing step to remove artifacts is extremely important. This paper presents an effective artifact removal algorithm, based on Independent ...
Dive into the research topics of 'Automatic EEG artifact removal based on ICA and hierarchical clustering'. Together they form a unique fingerprint. Sort by ...
Automatic Identification of Artifact-related Independent ... - NCBI
www.ncbi.nlm.nih.gov › PMC5309922
Nov 13, 2014 · Therefore, a generalized automatic ICA-based algorithm for identification of all artifact-related ICs in the EEG recordings is proposed here.
People also ask
How to remove artifacts from an EEG signal?
How to identify artifacts in EEG?
Feb 26, 2019 · Another method known as ICA, assuming that signal sources are instantaneously linear mixtures of cerebral and artifactual sources, can decompose ...
Therefore, identifying and removing artifacts is an important step. Researchers often clean EEG recordings with assistance from independent component analysis ( ...
Feb 13, 2018 · In this paper, a novel ICA-based technique is introduced for removing the BCG artifacts. The clustering algorithm is adopted, making the BCG ...
LeVan et al. A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification. Clin ...
This paper introduces a hybrid system to automatically remove eye-blink artifacts from the EEG by combining several methods, such as Independent Component ...