Detection of eye blink artifacts from single prefrontal channel electroencephalogram
Highlights • A novel method to detect eye blink artifacts from a single-channel frontal EEG signal was proposed. • Overall accuracy of detecting epochs contaminated by eye blink artifacts was markedly increased. • An online experiment showed that our method is useful for headband-type wearable EEG a...
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Veröffentlicht in: | Computer methods and programs in biomedicine 2016-02, Vol.124, p.19-30 |
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container_title | Computer methods and programs in biomedicine |
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creator | Chang, Won-Du Cha, Ho-Seung Kim, Kiwoong Im, Chang-Hwan |
description | Highlights • A novel method to detect eye blink artifacts from a single-channel frontal EEG signal was proposed. • Overall accuracy of detecting epochs contaminated by eye blink artifacts was markedly increased. • An online experiment showed that our method is useful for headband-type wearable EEG applications. • A MATLAB package of our library and sample data is open for free download. |
doi_str_mv | 10.1016/j.cmpb.2015.10.011 |
format | Article |
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Cha, Ho-Seung ; Kim, Kiwoong ; Im, Chang-Hwan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c543t-7f81969727183f1eb2038158e884ef5cefad0e21c16595a61fe2356dd27988223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>Artifact detection</topic><topic>Blinking - physiology</topic><topic>Brain - physiology</topic><topic>Channels</topic><topic>Diagnosis, Computer-Assisted</topic><topic>Digital filters</topic><topic>Electroencephalogram (EEG)</topic><topic>Electroencephalography</topic><topic>Electroencephalography - methods</topic><topic>Electrooculogram (EOG)</topic><topic>Electrooculograms</topic><topic>Eye blink</topic><topic>Eyes</topic><topic>Female</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Matlab</topic><topic>Other</topic><topic>Packages</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Reference Values</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Won-Du</creatorcontrib><creatorcontrib>Cha, Ho-Seung</creatorcontrib><creatorcontrib>Kim, Kiwoong</creatorcontrib><creatorcontrib>Im, Chang-Hwan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computer methods and programs in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Won-Du</au><au>Cha, Ho-Seung</au><au>Kim, Kiwoong</au><au>Im, Chang-Hwan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of eye blink artifacts from single prefrontal channel electroencephalogram</atitle><jtitle>Computer methods and programs in biomedicine</jtitle><addtitle>Comput Methods Programs Biomed</addtitle><date>2016-02-01</date><risdate>2016</risdate><volume>124</volume><spage>19</spage><epage>30</epage><pages>19-30</pages><issn>0169-2607</issn><eissn>1872-7565</eissn><abstract>Highlights • A novel method to detect eye blink artifacts from a single-channel frontal EEG signal was proposed. • Overall accuracy of detecting epochs contaminated by eye blink artifacts was markedly increased. • An online experiment showed that our method is useful for headband-type wearable EEG applications. • A MATLAB package of our library and sample data is open for free download.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>26560852</pmid><doi>10.1016/j.cmpb.2015.10.011</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-7437-4211</orcidid></addata></record> |
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subjects | Adult Algorithms Artifact detection Blinking - physiology Brain - physiology Channels Diagnosis, Computer-Assisted Digital filters Electroencephalogram (EEG) Electroencephalography Electroencephalography - methods Electrooculogram (EOG) Electrooculograms Eye blink Eyes Female Humans Internal Medicine Male Matlab Other Packages Pattern Recognition, Automated - methods Reference Values Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Young Adult |
title | Detection of eye blink artifacts from single prefrontal channel electroencephalogram |
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