Cargando…

SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals

Recently, the use of portable electroencephalogram (EEG) devices to record brain signals in both health care monitoring and in other applications, such as fatigue detection in drivers, has been increased due to its low cost and ease of use. However, the measured EEG signals always mix with the elect...

Descripción completa

Detalles Bibliográficos
Autores principales: Maddirala, Ajay Kumar, Veluvolu, Kalyana C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838657/
https://www.ncbi.nlm.nih.gov/pubmed/35161676
http://dx.doi.org/10.3390/s22030931
_version_ 1784650180261314560
author Maddirala, Ajay Kumar
Veluvolu, Kalyana C.
author_facet Maddirala, Ajay Kumar
Veluvolu, Kalyana C.
author_sort Maddirala, Ajay Kumar
collection PubMed
description Recently, the use of portable electroencephalogram (EEG) devices to record brain signals in both health care monitoring and in other applications, such as fatigue detection in drivers, has been increased due to its low cost and ease of use. However, the measured EEG signals always mix with the electrooculogram (EOG), which are results due to eyelid blinking or eye movements. The eye-blinking/movement is an uncontrollable activity that results in a high-amplitude slow-time varying component that is mixed in the measured EEG signal. The presence of these artifacts misled our understanding of the underlying brain state. As the portable EEG devices comprise few EEG channels or sometimes a single EEG channel, classical artifact removal techniques such as blind source separation methods cannot be used to remove these artifacts from a single-channel EEG signal. Hence, there is a demand for the development of new single-channel-based artifact removal techniques. Singular spectrum analysis (SSA) has been widely used as a single-channel-based eye-blink artifact removal technique. However, while removing the artifact, the low-frequency components from the non-artifact region of the EEG signal are also removed by SSA. To preserve these low-frequency components, in this paper, we have proposed a new methodology by integrating the SSA with continuous wavelet transform (CWT) and the k-means clustering algorithm that removes the eye-blink artifact from the single-channel EEG signals without altering the low frequencies of the EEG signal. The proposed method is evaluated on both synthetic and real EEG signals. The results also show the superiority of the proposed method over the existing methods.
format Online
Article
Text
id pubmed-8838657
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88386572022-02-13 SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals Maddirala, Ajay Kumar Veluvolu, Kalyana C. Sensors (Basel) Article Recently, the use of portable electroencephalogram (EEG) devices to record brain signals in both health care monitoring and in other applications, such as fatigue detection in drivers, has been increased due to its low cost and ease of use. However, the measured EEG signals always mix with the electrooculogram (EOG), which are results due to eyelid blinking or eye movements. The eye-blinking/movement is an uncontrollable activity that results in a high-amplitude slow-time varying component that is mixed in the measured EEG signal. The presence of these artifacts misled our understanding of the underlying brain state. As the portable EEG devices comprise few EEG channels or sometimes a single EEG channel, classical artifact removal techniques such as blind source separation methods cannot be used to remove these artifacts from a single-channel EEG signal. Hence, there is a demand for the development of new single-channel-based artifact removal techniques. Singular spectrum analysis (SSA) has been widely used as a single-channel-based eye-blink artifact removal technique. However, while removing the artifact, the low-frequency components from the non-artifact region of the EEG signal are also removed by SSA. To preserve these low-frequency components, in this paper, we have proposed a new methodology by integrating the SSA with continuous wavelet transform (CWT) and the k-means clustering algorithm that removes the eye-blink artifact from the single-channel EEG signals without altering the low frequencies of the EEG signal. The proposed method is evaluated on both synthetic and real EEG signals. The results also show the superiority of the proposed method over the existing methods. MDPI 2022-01-25 /pmc/articles/PMC8838657/ /pubmed/35161676 http://dx.doi.org/10.3390/s22030931 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Maddirala, Ajay Kumar
Veluvolu, Kalyana C.
SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals
title SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals
title_full SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals
title_fullStr SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals
title_full_unstemmed SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals
title_short SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals
title_sort ssa with cwt and k-means for eye-blink artifact removal from single-channel eeg signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838657/
https://www.ncbi.nlm.nih.gov/pubmed/35161676
http://dx.doi.org/10.3390/s22030931
work_keys_str_mv AT maddiralaajaykumar ssawithcwtandkmeansforeyeblinkartifactremovalfromsinglechanneleegsignals
AT veluvolukalyanac ssawithcwtandkmeansforeyeblinkartifactremovalfromsinglechanneleegsignals