A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs
Gespeichert in:
| Veröffentlicht in: | Journal of neural engineering 2021-08, Vol.18 (4), p.460 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 4 |
| container_start_page | 460 |
| container_title | Journal of neural engineering |
| container_volume | 18 |
| creator | Zang, Boyu Lin, Yanfei Liu, Zhiwen Gao, Xiaorong |
| description | |
| doi_str_mv | 10.1088/1741-2552/ac1610 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1088_1741_2552_ac1610</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2553820723</sourcerecordid><originalsourceid>FETCH-LOGICAL-c345t-771cd31d0a30891a3174754ed92dc4b2f9dc06a276312d237280c9424430c6003</originalsourceid><addsrcrecordid>eNp9UMtOwzAQjBBIlMKdo29wIHT9yOtYVaEgIVGVx9VybQdckjjYyYG_x1FQT4jT7s7OrHYmii4x3GLI8wXOGI5JkpCFkDjFcBTNDtDxoU_hNDrzfg9AcVbALOqWSGndoVoL15r2HTW6_7AKVdYhH-Zax70zokZluUayFt6bykjRG9si06Lt89sG9cJ_op3wWqGA-m7c9rrprAu6Sot-cNojW6Fyu_Hn0Uklaq8vfus8er0rX1b38ePT-mG1fIwlZUkfZxmWimIFgkJeYBHeZVnCtCqIkmxHqkJJSAXJUoqJIjQjOciCEcYoyDTYm0fX093O2a9B-543xktd16LVdvA85EJzAhmhgQoTVTrrvdMV75xphPvmGPgYLh_TGxWET-EGyc0kMbbjezu4Nnj5j371B33fao5zzjiwFGTOO1XRHwnPhlA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2553820723</pqid></control><display><type>article</type><title>A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs</title><source>IOP Publishing Journals</source><source>Institute of Physics (IOP) Journals - HEAL-Link</source><creator>Zang, Boyu ; Lin, Yanfei ; Liu, Zhiwen ; Gao, Xiaorong</creator><creatorcontrib>Zang, Boyu ; Lin, Yanfei ; Liu, Zhiwen ; Gao, Xiaorong</creatorcontrib><identifier>ISSN: 1741-2560</identifier><identifier>EISSN: 1741-2552</identifier><identifier>DOI: 10.1088/1741-2552/ac1610</identifier><identifier>CODEN: JNEIEZ</identifier><language>eng</language><publisher>IOP Publishing</publisher><subject>convolutional neural network ; deep learning ; EEG ; event-related potential ; RSVP</subject><ispartof>Journal of neural engineering, 2021-08, Vol.18 (4), p.460</ispartof><rights>2021 IOP Publishing Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c345t-771cd31d0a30891a3174754ed92dc4b2f9dc06a276312d237280c9424430c6003</citedby><cites>FETCH-LOGICAL-c345t-771cd31d0a30891a3174754ed92dc4b2f9dc06a276312d237280c9424430c6003</cites><orcidid>0000-0001-8874-1986</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1741-2552/ac1610/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,780,784,27924,27925,53846,53893</link.rule.ids></links><search><creatorcontrib>Zang, Boyu</creatorcontrib><creatorcontrib>Lin, Yanfei</creatorcontrib><creatorcontrib>Liu, Zhiwen</creatorcontrib><creatorcontrib>Gao, Xiaorong</creatorcontrib><title>A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs</title><title>Journal of neural engineering</title><addtitle>JNE</addtitle><addtitle>J. Neural Eng</addtitle><subject>convolutional neural network</subject><subject>deep learning</subject><subject>EEG</subject><subject>event-related potential</subject><subject>RSVP</subject><issn>1741-2560</issn><issn>1741-2552</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9UMtOwzAQjBBIlMKdo29wIHT9yOtYVaEgIVGVx9VybQdckjjYyYG_x1FQT4jT7s7OrHYmii4x3GLI8wXOGI5JkpCFkDjFcBTNDtDxoU_hNDrzfg9AcVbALOqWSGndoVoL15r2HTW6_7AKVdYhH-Zax70zokZluUayFt6bykjRG9si06Lt89sG9cJ_op3wWqGA-m7c9rrprAu6Sot-cNojW6Fyu_Hn0Uklaq8vfus8er0rX1b38ePT-mG1fIwlZUkfZxmWimIFgkJeYBHeZVnCtCqIkmxHqkJJSAXJUoqJIjQjOciCEcYoyDTYm0fX093O2a9B-543xktd16LVdvA85EJzAhmhgQoTVTrrvdMV75xphPvmGPgYLh_TGxWET-EGyc0kMbbjezu4Nnj5j371B33fao5zzjiwFGTOO1XRHwnPhlA</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Zang, Boyu</creator><creator>Lin, Yanfei</creator><creator>Liu, Zhiwen</creator><creator>Gao, Xiaorong</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8874-1986</orcidid></search><sort><creationdate>20210801</creationdate><title>A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs</title><author>Zang, Boyu ; Lin, Yanfei ; Liu, Zhiwen ; Gao, Xiaorong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c345t-771cd31d0a30891a3174754ed92dc4b2f9dc06a276312d237280c9424430c6003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>convolutional neural network</topic><topic>deep learning</topic><topic>EEG</topic><topic>event-related potential</topic><topic>RSVP</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zang, Boyu</creatorcontrib><creatorcontrib>Lin, Yanfei</creatorcontrib><creatorcontrib>Liu, Zhiwen</creatorcontrib><creatorcontrib>Gao, Xiaorong</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neural engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zang, Boyu</au><au>Lin, Yanfei</au><au>Liu, Zhiwen</au><au>Gao, Xiaorong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs</atitle><jtitle>Journal of neural engineering</jtitle><stitle>JNE</stitle><addtitle>J. Neural Eng</addtitle><date>2021-08-01</date><risdate>2021</risdate><volume>18</volume><issue>4</issue><spage>460</spage><pages>460-</pages><issn>1741-2560</issn><eissn>1741-2552</eissn><coden>JNEIEZ</coden><pub>IOP Publishing</pub><doi>10.1088/1741-2552/ac1610</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8874-1986</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1741-2560 |
| ispartof | Journal of neural engineering, 2021-08, Vol.18 (4), p.460 |
| issn | 1741-2560 1741-2552 |
| language | eng |
| recordid | cdi_crossref_primary_10_1088_1741_2552_ac1610 |
| source | IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link |
| subjects | convolutional neural network deep learning EEG event-related potential RSVP |
| title | A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T06%3A02%3A09IST&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=A%20deep%20learning%20method%20for%20single-trial%20EEG%20classification%20in%20RSVP%20task%20based%20on%20spatiotemporal%20features%20of%20ERPs&rft.jtitle=Journal%20of%20neural%20engineering&rft.au=Zang,%20Boyu&rft.date=2021-08-01&rft.volume=18&rft.issue=4&rft.spage=460&rft.pages=460-&rft.issn=1741-2560&rft.eissn=1741-2552&rft.coden=JNEIEZ&rft_id=info:doi/10.1088/1741-2552/ac1610&rft_dat=%3Cproquest_cross%3E2553820723%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=2553820723&rft_id=info:pmid/&rfr_iscdi=true |