Artifact Removal from EEG Signals
Electroencephalographic (EEG) recordings are often contaminated with several artifacts. Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as durin...
Gespeichert in:
Veröffentlicht in: | International journal of computer applications 2013-01, Vol.77 (13), p.17-19 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 19 |
---|---|
container_issue | 13 |
container_start_page | 17 |
container_title | International journal of computer applications |
container_volume | 77 |
creator | Reddy, A Guruva Narava, Srilatha |
description | Electroencephalographic (EEG) recordings are often contaminated with several artifacts. Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common sources of noise and review methods for prevention and removal of noise in EEG recording ,including elimination of noise sources. |
doi_str_mv | 10.5120/13543-1175 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1464548641</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3098838041</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1735-b90ac2846a3d79638085f9f65a1a573b2de4794d4fbc3bd956a722d0fe70462f3</originalsourceid><addsrcrecordid>eNpdkEtLw0AUhQdRsNRu_AURNyJE53HntSwlrUJB8LEeJpMZSUmaOpMI_nsT60K8m3MXH4fDh9AlwXecUHxPGAeWEyL5CZphLXmulJKnf_5ztEhph8djmgoNM3S1jH0drOuzZ992n7bJQuzarCg22Uv9vrdNukBnYQy_-M05elsXr6uHfPu0eVwtt7kjkvG81Ng6qkBYVkktmMKKBx0Et8RyyUpaeZAaKgilY2WlubCS0goHLzEIGtgc3Rx7D7H7GHzqTVsn55vG7n03JENAAAclgIzo9T901w1xGjtSQJRiUuiRuj1SLnYpRR_MIdatjV-GYDMJMz_CzCSMfQPYbFja</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1441883769</pqid></control><display><type>article</type><title>Artifact Removal from EEG Signals</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Reddy, A Guruva ; Narava, Srilatha</creator><creatorcontrib>Reddy, A Guruva ; Narava, Srilatha</creatorcontrib><description>Electroencephalographic (EEG) recordings are often contaminated with several artifacts. Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common sources of noise and review methods for prevention and removal of noise in EEG recording ,including elimination of noise sources.</description><identifier>ISSN: 0975-8887</identifier><identifier>EISSN: 0975-8887</identifier><identifier>DOI: 10.5120/13543-1175</identifier><language>eng</language><publisher>New York: Foundation of Computer Science</publisher><subject>Contamination ; Interference ; Noise ; Patients ; Preprocessing ; Recording ; Strategy</subject><ispartof>International journal of computer applications, 2013-01, Vol.77 (13), p.17-19</ispartof><rights>Copyright Foundation of Computer Science 2013</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1735-b90ac2846a3d79638085f9f65a1a573b2de4794d4fbc3bd956a722d0fe70462f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Reddy, A Guruva</creatorcontrib><creatorcontrib>Narava, Srilatha</creatorcontrib><title>Artifact Removal from EEG Signals</title><title>International journal of computer applications</title><description>Electroencephalographic (EEG) recordings are often contaminated with several artifacts. Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common sources of noise and review methods for prevention and removal of noise in EEG recording ,including elimination of noise sources.</description><subject>Contamination</subject><subject>Interference</subject><subject>Noise</subject><subject>Patients</subject><subject>Preprocessing</subject><subject>Recording</subject><subject>Strategy</subject><issn>0975-8887</issn><issn>0975-8887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNpdkEtLw0AUhQdRsNRu_AURNyJE53HntSwlrUJB8LEeJpMZSUmaOpMI_nsT60K8m3MXH4fDh9AlwXecUHxPGAeWEyL5CZphLXmulJKnf_5ztEhph8djmgoNM3S1jH0drOuzZ992n7bJQuzarCg22Uv9vrdNukBnYQy_-M05elsXr6uHfPu0eVwtt7kjkvG81Ng6qkBYVkktmMKKBx0Et8RyyUpaeZAaKgilY2WlubCS0goHLzEIGtgc3Rx7D7H7GHzqTVsn55vG7n03JENAAAclgIzo9T901w1xGjtSQJRiUuiRuj1SLnYpRR_MIdatjV-GYDMJMz_CzCSMfQPYbFja</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Reddy, A Guruva</creator><creator>Narava, Srilatha</creator><general>Foundation of Computer Science</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20130101</creationdate><title>Artifact Removal from EEG Signals</title><author>Reddy, A Guruva ; Narava, Srilatha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1735-b90ac2846a3d79638085f9f65a1a573b2de4794d4fbc3bd956a722d0fe70462f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Contamination</topic><topic>Interference</topic><topic>Noise</topic><topic>Patients</topic><topic>Preprocessing</topic><topic>Recording</topic><topic>Strategy</topic><toplevel>online_resources</toplevel><creatorcontrib>Reddy, A Guruva</creatorcontrib><creatorcontrib>Narava, Srilatha</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</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>International journal of computer applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reddy, A Guruva</au><au>Narava, Srilatha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artifact Removal from EEG Signals</atitle><jtitle>International journal of computer applications</jtitle><date>2013-01-01</date><risdate>2013</risdate><volume>77</volume><issue>13</issue><spage>17</spage><epage>19</epage><pages>17-19</pages><issn>0975-8887</issn><eissn>0975-8887</eissn><abstract>Electroencephalographic (EEG) recordings are often contaminated with several artifacts. Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common sources of noise and review methods for prevention and removal of noise in EEG recording ,including elimination of noise sources.</abstract><cop>New York</cop><pub>Foundation of Computer Science</pub><doi>10.5120/13543-1175</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0975-8887 |
ispartof | International journal of computer applications, 2013-01, Vol.77 (13), p.17-19 |
issn | 0975-8887 0975-8887 |
language | eng |
recordid | cdi_proquest_miscellaneous_1464548641 |
source | EZB-FREE-00999 freely available EZB journals |
subjects | Contamination Interference Noise Patients Preprocessing Recording Strategy |
title | Artifact Removal from EEG Signals |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T12%3A16%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Artifact%20Removal%20from%20EEG%20Signals&rft.jtitle=International%20journal%20of%20computer%20applications&rft.au=Reddy,%20A%20Guruva&rft.date=2013-01-01&rft.volume=77&rft.issue=13&rft.spage=17&rft.epage=19&rft.pages=17-19&rft.issn=0975-8887&rft.eissn=0975-8887&rft_id=info:doi/10.5120/13543-1175&rft_dat=%3Cproquest_cross%3E3098838041%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1441883769&rft_id=info:pmid/&rfr_iscdi=true |