Design and Test of Spatial Cognitive Training and Evaluation System based on Virtual Reality Head-mounted Display with EEG Recording
The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This study designed a home-based spatial cognitive training and evaluation system (SCTES), which ai...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on neural systems and rehabilitation engineering 2023-01, Vol.31, p.1-1 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | IEEE transactions on neural systems and rehabilitation engineering |
| container_volume | 31 |
| creator | Wen, Dong Yuan, Jingpeng Li, Jingjing Sun, Yue Wang, Xianpu Shi, Ruihang Wan, Xianglong Zhou, Yanhong Song, Haiqing Dong, Xianling Xu, Fangzhou Lan, Xifa Jung, Tzyy-Ping |
| description | The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This study designed a home-based spatial cognitive training and evaluation system (SCTES), which aimed to train subjects on spatial cognitive tasks for 20 days, and compared the brain activities before and after the training. This study also evaluated the feasibility of using a portable all-in-one prototype for cognitive training that combined a virtual reality (VR) head-mounted display with high-quality electroencephalogram (EEG) recording. During the course of training, the length of the navigation path and the distance between the starting position and the platform position revealed significant behavioral differences. In the testing sessions, the subjects showed significant behavioral differences in the time it took to complete the test task before and after training. After only four days of training, the subjects demonstrated significant differences in the Granger causality analysis (GCA) characteristics of brain regions in the δ, θ, α 1 , β 2 , and γ frequency bands of the EEG, as well as significant differences in the GCA of the EEG in the β 1 , β 2 , and γ frequency bands between the two test sessions. The proposed SCTES used a compact and all-in-one form factor to train and evaluate spatial cognition and collect EEG signals and behavioral data simultaneously. The recorded EEG data can be used to quantitatively assess the efficacy of spatial training in patients with spatial cognitive impairments. |
| doi_str_mv | 10.1109/TNSRE.2023.3283328 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_proquest_journals_2828006191</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10144784</ieee_id><doaj_id>oai_doaj_org_article_2ffa674fb40c47bbbecfb3293b8cf08e</doaj_id><sourcerecordid>2828006191</sourcerecordid><originalsourceid>FETCH-LOGICAL-c413t-7d032467326f7a1b5306b0cee0b518a2e3afc79e454a4c60137c65d76f643bd33</originalsourceid><addsrcrecordid>eNpdkV1v0zAUhiMEYqPwBxBClnbDTYq_YqeXqAvbpAmktXBr2c5xcZXExU6Ges8Px_1gQlxY9rGf88r2UxRvCZ4Tghcf119WD82cYsrmjNYsj2fFJamqusSU4OeHNeMlZxRfFK9S2mJMpKjky-KCSSoXhPHL4vc1JL8ZkB5atIY0ouDQaqdHrzu0DJvBj_4R0DpqP_hhc8SaR91NmQgDWu3TCD0yOkGLcv3dx3HKnQ-gOz_u0S3otuzDNIz5_NqnXaf36Jcff6CmucmUDbHNsa-LF053Cd6c51nx7XOzXt6W919v7paf7kvLCRtL2WJGuZCMCic1MRXDwmALgE1Fak2BaWflAnjFNbcCEyatqFopnODMtIzNirtTbhv0Vu2i73Xcq6C9Om6EuFE6jt52oKhzWkjuDMeWS2MMWGcYXTBTW4dryFkfTlm7GH5O-edU75OFrtMDhCkpWlNWYYGlzOjVf-g2THHILz1QNcaCZBmzgp4oG0NKEdzTBQlWB9_q6FsdfKuz79z0_hw9mR7ap5a_gjPw7gR4APgnkXAua87-AIEPrww</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2828006191</pqid></control><display><type>article</type><title>Design and Test of Spatial Cognitive Training and Evaluation System based on Virtual Reality Head-mounted Display with EEG Recording</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Wen, Dong ; Yuan, Jingpeng ; Li, Jingjing ; Sun, Yue ; Wang, Xianpu ; Shi, Ruihang ; Wan, Xianglong ; Zhou, Yanhong ; Song, Haiqing ; Dong, Xianling ; Xu, Fangzhou ; Lan, Xifa ; Jung, Tzyy-Ping</creator><creatorcontrib>Wen, Dong ; Yuan, Jingpeng ; Li, Jingjing ; Sun, Yue ; Wang, Xianpu ; Shi, Ruihang ; Wan, Xianglong ; Zhou, Yanhong ; Song, Haiqing ; Dong, Xianling ; Xu, Fangzhou ; Lan, Xifa ; Jung, Tzyy-Ping</creatorcontrib><description>The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This study designed a home-based spatial cognitive training and evaluation system (SCTES), which aimed to train subjects on spatial cognitive tasks for 20 days, and compared the brain activities before and after the training. This study also evaluated the feasibility of using a portable all-in-one prototype for cognitive training that combined a virtual reality (VR) head-mounted display with high-quality electroencephalogram (EEG) recording. During the course of training, the length of the navigation path and the distance between the starting position and the platform position revealed significant behavioral differences. In the testing sessions, the subjects showed significant behavioral differences in the time it took to complete the test task before and after training. After only four days of training, the subjects demonstrated significant differences in the Granger causality analysis (GCA) characteristics of brain regions in the δ, θ, α 1 , β 2 , and γ frequency bands of the EEG, as well as significant differences in the GCA of the EEG in the β 1 , β 2 , and γ frequency bands between the two test sessions. The proposed SCTES used a compact and all-in-one form factor to train and evaluate spatial cognition and collect EEG signals and behavioral data simultaneously. The recorded EEG data can be used to quantitatively assess the efficacy of spatial training in patients with spatial cognitive impairments.</description><identifier>ISSN: 1534-4320</identifier><identifier>EISSN: 1558-0210</identifier><identifier>DOI: 10.1109/TNSRE.2023.3283328</identifier><identifier>PMID: 37279134</identifier><identifier>CODEN: ITNSB3</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Brain ; Cognition ; Cognitive ability ; Cognitive tasks ; Computer applications ; EEG ; Electroencephalography ; Feasibility studies ; Form factors ; Frequencies ; Helmet mounted displays ; Navigation ; Protocols ; Recording ; Spatial Cognition Training and Evaluation System ; Task analysis ; Time series analysis ; Training ; Virtual reality ; Virtual Reality Head-mounted Display</subject><ispartof>IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c413t-7d032467326f7a1b5306b0cee0b518a2e3afc79e454a4c60137c65d76f643bd33</cites><orcidid>0000-0001-7660-1206 ; 0000-0001-8094-2863 ; 0000-0001-8572-2632 ; 0000-0002-8377-2166 ; 0000-0002-9478-6088</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,2096,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37279134$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wen, Dong</creatorcontrib><creatorcontrib>Yuan, Jingpeng</creatorcontrib><creatorcontrib>Li, Jingjing</creatorcontrib><creatorcontrib>Sun, Yue</creatorcontrib><creatorcontrib>Wang, Xianpu</creatorcontrib><creatorcontrib>Shi, Ruihang</creatorcontrib><creatorcontrib>Wan, Xianglong</creatorcontrib><creatorcontrib>Zhou, Yanhong</creatorcontrib><creatorcontrib>Song, Haiqing</creatorcontrib><creatorcontrib>Dong, Xianling</creatorcontrib><creatorcontrib>Xu, Fangzhou</creatorcontrib><creatorcontrib>Lan, Xifa</creatorcontrib><creatorcontrib>Jung, Tzyy-Ping</creatorcontrib><title>Design and Test of Spatial Cognitive Training and Evaluation System based on Virtual Reality Head-mounted Display with EEG Recording</title><title>IEEE transactions on neural systems and rehabilitation engineering</title><addtitle>TNSRE</addtitle><addtitle>IEEE Trans Neural Syst Rehabil Eng</addtitle><description>The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This study designed a home-based spatial cognitive training and evaluation system (SCTES), which aimed to train subjects on spatial cognitive tasks for 20 days, and compared the brain activities before and after the training. This study also evaluated the feasibility of using a portable all-in-one prototype for cognitive training that combined a virtual reality (VR) head-mounted display with high-quality electroencephalogram (EEG) recording. During the course of training, the length of the navigation path and the distance between the starting position and the platform position revealed significant behavioral differences. In the testing sessions, the subjects showed significant behavioral differences in the time it took to complete the test task before and after training. After only four days of training, the subjects demonstrated significant differences in the Granger causality analysis (GCA) characteristics of brain regions in the δ, θ, α 1 , β 2 , and γ frequency bands of the EEG, as well as significant differences in the GCA of the EEG in the β 1 , β 2 , and γ frequency bands between the two test sessions. The proposed SCTES used a compact and all-in-one form factor to train and evaluate spatial cognition and collect EEG signals and behavioral data simultaneously. The recorded EEG data can be used to quantitatively assess the efficacy of spatial training in patients with spatial cognitive impairments.</description><subject>Brain</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Cognitive tasks</subject><subject>Computer applications</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Feasibility studies</subject><subject>Form factors</subject><subject>Frequencies</subject><subject>Helmet mounted displays</subject><subject>Navigation</subject><subject>Protocols</subject><subject>Recording</subject><subject>Spatial Cognition Training and Evaluation System</subject><subject>Task analysis</subject><subject>Time series analysis</subject><subject>Training</subject><subject>Virtual reality</subject><subject>Virtual Reality Head-mounted Display</subject><issn>1534-4320</issn><issn>1558-0210</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpdkV1v0zAUhiMEYqPwBxBClnbDTYq_YqeXqAvbpAmktXBr2c5xcZXExU6Ges8Px_1gQlxY9rGf88r2UxRvCZ4Tghcf119WD82cYsrmjNYsj2fFJamqusSU4OeHNeMlZxRfFK9S2mJMpKjky-KCSSoXhPHL4vc1JL8ZkB5atIY0ouDQaqdHrzu0DJvBj_4R0DpqP_hhc8SaR91NmQgDWu3TCD0yOkGLcv3dx3HKnQ-gOz_u0S3otuzDNIz5_NqnXaf36Jcff6CmucmUDbHNsa-LF053Cd6c51nx7XOzXt6W919v7paf7kvLCRtL2WJGuZCMCic1MRXDwmALgE1Fak2BaWflAnjFNbcCEyatqFopnODMtIzNirtTbhv0Vu2i73Xcq6C9Om6EuFE6jt52oKhzWkjuDMeWS2MMWGcYXTBTW4dryFkfTlm7GH5O-edU75OFrtMDhCkpWlNWYYGlzOjVf-g2THHILz1QNcaCZBmzgp4oG0NKEdzTBQlWB9_q6FsdfKuz79z0_hw9mR7ap5a_gjPw7gR4APgnkXAua87-AIEPrww</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Wen, Dong</creator><creator>Yuan, Jingpeng</creator><creator>Li, Jingjing</creator><creator>Sun, Yue</creator><creator>Wang, Xianpu</creator><creator>Shi, Ruihang</creator><creator>Wan, Xianglong</creator><creator>Zhou, Yanhong</creator><creator>Song, Haiqing</creator><creator>Dong, Xianling</creator><creator>Xu, Fangzhou</creator><creator>Lan, Xifa</creator><creator>Jung, Tzyy-Ping</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7660-1206</orcidid><orcidid>https://orcid.org/0000-0001-8094-2863</orcidid><orcidid>https://orcid.org/0000-0001-8572-2632</orcidid><orcidid>https://orcid.org/0000-0002-8377-2166</orcidid><orcidid>https://orcid.org/0000-0002-9478-6088</orcidid></search><sort><creationdate>20230101</creationdate><title>Design and Test of Spatial Cognitive Training and Evaluation System based on Virtual Reality Head-mounted Display with EEG Recording</title><author>Wen, Dong ; Yuan, Jingpeng ; Li, Jingjing ; Sun, Yue ; Wang, Xianpu ; Shi, Ruihang ; Wan, Xianglong ; Zhou, Yanhong ; Song, Haiqing ; Dong, Xianling ; Xu, Fangzhou ; Lan, Xifa ; Jung, Tzyy-Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-7d032467326f7a1b5306b0cee0b518a2e3afc79e454a4c60137c65d76f643bd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Brain</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>Cognitive tasks</topic><topic>Computer applications</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Feasibility studies</topic><topic>Form factors</topic><topic>Frequencies</topic><topic>Helmet mounted displays</topic><topic>Navigation</topic><topic>Protocols</topic><topic>Recording</topic><topic>Spatial Cognition Training and Evaluation System</topic><topic>Task analysis</topic><topic>Time series analysis</topic><topic>Training</topic><topic>Virtual reality</topic><topic>Virtual Reality Head-mounted Display</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wen, Dong</creatorcontrib><creatorcontrib>Yuan, Jingpeng</creatorcontrib><creatorcontrib>Li, Jingjing</creatorcontrib><creatorcontrib>Sun, Yue</creatorcontrib><creatorcontrib>Wang, Xianpu</creatorcontrib><creatorcontrib>Shi, Ruihang</creatorcontrib><creatorcontrib>Wan, Xianglong</creatorcontrib><creatorcontrib>Zhou, Yanhong</creatorcontrib><creatorcontrib>Song, Haiqing</creatorcontrib><creatorcontrib>Dong, Xianling</creatorcontrib><creatorcontrib>Xu, Fangzhou</creatorcontrib><creatorcontrib>Lan, Xifa</creatorcontrib><creatorcontrib>Jung, Tzyy-Ping</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE transactions on neural systems and rehabilitation engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wen, Dong</au><au>Yuan, Jingpeng</au><au>Li, Jingjing</au><au>Sun, Yue</au><au>Wang, Xianpu</au><au>Shi, Ruihang</au><au>Wan, Xianglong</au><au>Zhou, Yanhong</au><au>Song, Haiqing</au><au>Dong, Xianling</au><au>Xu, Fangzhou</au><au>Lan, Xifa</au><au>Jung, Tzyy-Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design and Test of Spatial Cognitive Training and Evaluation System based on Virtual Reality Head-mounted Display with EEG Recording</atitle><jtitle>IEEE transactions on neural systems and rehabilitation engineering</jtitle><stitle>TNSRE</stitle><addtitle>IEEE Trans Neural Syst Rehabil Eng</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>31</volume><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>1534-4320</issn><eissn>1558-0210</eissn><coden>ITNSB3</coden><abstract>The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This study designed a home-based spatial cognitive training and evaluation system (SCTES), which aimed to train subjects on spatial cognitive tasks for 20 days, and compared the brain activities before and after the training. This study also evaluated the feasibility of using a portable all-in-one prototype for cognitive training that combined a virtual reality (VR) head-mounted display with high-quality electroencephalogram (EEG) recording. During the course of training, the length of the navigation path and the distance between the starting position and the platform position revealed significant behavioral differences. In the testing sessions, the subjects showed significant behavioral differences in the time it took to complete the test task before and after training. After only four days of training, the subjects demonstrated significant differences in the Granger causality analysis (GCA) characteristics of brain regions in the δ, θ, α 1 , β 2 , and γ frequency bands of the EEG, as well as significant differences in the GCA of the EEG in the β 1 , β 2 , and γ frequency bands between the two test sessions. The proposed SCTES used a compact and all-in-one form factor to train and evaluate spatial cognition and collect EEG signals and behavioral data simultaneously. The recorded EEG data can be used to quantitatively assess the efficacy of spatial training in patients with spatial cognitive impairments.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>37279134</pmid><doi>10.1109/TNSRE.2023.3283328</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-7660-1206</orcidid><orcidid>https://orcid.org/0000-0001-8094-2863</orcidid><orcidid>https://orcid.org/0000-0001-8572-2632</orcidid><orcidid>https://orcid.org/0000-0002-8377-2166</orcidid><orcidid>https://orcid.org/0000-0002-9478-6088</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1534-4320 |
| ispartof | IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1 |
| issn | 1534-4320 1558-0210 |
| language | eng |
| recordid | cdi_proquest_journals_2828006191 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Brain Cognition Cognitive ability Cognitive tasks Computer applications EEG Electroencephalography Feasibility studies Form factors Frequencies Helmet mounted displays Navigation Protocols Recording Spatial Cognition Training and Evaluation System Task analysis Time series analysis Training Virtual reality Virtual Reality Head-mounted Display |
| title | Design and Test of Spatial Cognitive Training and Evaluation System based on Virtual Reality Head-mounted Display with EEG Recording |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T13%3A48%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Design%20and%20Test%20of%20Spatial%20Cognitive%20Training%20and%20Evaluation%20System%20based%20on%20Virtual%20Reality%20Head-mounted%20Display%20with%20EEG%20Recording&rft.jtitle=IEEE%20transactions%20on%20neural%20systems%20and%20rehabilitation%20engineering&rft.au=Wen,%20Dong&rft.date=2023-01-01&rft.volume=31&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=1534-4320&rft.eissn=1558-0210&rft.coden=ITNSB3&rft_id=info:doi/10.1109/TNSRE.2023.3283328&rft_dat=%3Cproquest_doaj_%3E2828006191%3C/proquest_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2828006191&rft_id=info:pmid/37279134&rft_ieee_id=10144784&rft_doaj_id=oai_doaj_org_article_2ffa674fb40c47bbbecfb3293b8cf08e&rfr_iscdi=true |