Removing eye blink artefacts from EEG-A single-channel physiology-based method.
J Neurosci Methods
; 291: 213-220, 2017 11 01.
Article
em En
| MEDLINE
| ID: mdl-28860078
ABSTRACT
BACKGROUND:
EEG signals are often contaminated with artefacts, particularly with large signals generated by eye blinks. Deletion of artefact can lose valuable data. Current methods of removing the eye blink component to leave residual EEG, such as blind source component removal, require multichannel recording, are computationally intensive, and can alter the original EEG signal. NEWMETHOD:
Here we describe a novel single-channel method using a model based on the ballistic physiological components of the eye blink. This removes the blink component, leaving uncontaminated EEG largely unchanged. Processing time allows its use in real-time applications such as neurofeedback training.RESULTS:
Blink removal had a success rate of over 90% recovered variance of original EEG when removing synthesised eye blink components. Fronto-lateral sites were poorer (â¼80%) than most other sites (92-96%), with poor fronto-polar results (67%). COMPARISONS WITH EXISTINGMETHODS:
When compared with three popular independent component analysis (ICA) methods, our method was only slightly (1%) better at frontal midline sites but significantly (>20%) better at lateral sites with an overall advantage of â¼10%.CONCLUSIONS:
With few recording channels and real-time processing, our method shows clear advantages over ICA for removing eye blinks. It should be particularly suited for use in portable brain-computer-interfaces and in neurofeedback training.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Piscadela
/
Processamento de Sinais Assistido por Computador
/
Encéfalo
/
Artefatos
/
Eletroencefalografia
Tipo de estudo:
Clinical_trials
Limite:
Adolescent
/
Adult
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
J Neurosci Methods
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Nova Zelândia