EEG Data Processing with Machine Learning
Electroencephalography (EEG) has emerged as a powerful tool for monitoring and understanding brain activity. In recent years, the use of machine learning techniques has significantly enhanced the analysis of EEG data, offering valuable insights into neurological conditions, cognitive processes, and...
Saved in:
| Published in | 2024 23rd International Symposium on Electrical Apparatus and Technologies (SIELA) pp. 1 - 6 |
|---|---|
| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
12.06.2024
|
| Subjects | |
| Online Access | Get full text |
| DOI | 10.1109/SIELA61056.2024.10637835 |
Cover
| Abstract | Electroencephalography (EEG) has emerged as a powerful tool for monitoring and understanding brain activity. In recent years, the use of machine learning techniques has significantly enhanced the analysis of EEG data, offering valuable insights into neurological conditions, cognitive processes, and mental states. This paper presents a series of experiments where various machine learning techniques were used for processing real EEG data at different stages of the pipeline. To test the data obtained during visual stimulation session with human subjects, Independent Component Analysis, clustering and autoencoders were the chosen techniques. Analysis and evaluation of tested methods is provided. |
|---|---|
| AbstractList | Electroencephalography (EEG) has emerged as a powerful tool for monitoring and understanding brain activity. In recent years, the use of machine learning techniques has significantly enhanced the analysis of EEG data, offering valuable insights into neurological conditions, cognitive processes, and mental states. This paper presents a series of experiments where various machine learning techniques were used for processing real EEG data at different stages of the pipeline. To test the data obtained during visual stimulation session with human subjects, Independent Component Analysis, clustering and autoencoders were the chosen techniques. Analysis and evaluation of tested methods is provided. |
| Author | Ivanov, Aleksandar Cerbulescu, Cristina |
| Author_xml | – sequence: 1 givenname: Aleksandar surname: Ivanov fullname: Ivanov, Aleksandar email: alex.ivanov@bfu.bg organization: Burgas Free University,Burgas,Bulgaria – sequence: 2 givenname: Cristina surname: Cerbulescu fullname: Cerbulescu, Cristina email: cristina.cerbulescu@umfcv.ro organization: University of Craiova,Craiova,Romania |
| BookMark | eNo1j8FOwzAQRI0EByj9Aw6-ckhYZ712fKxKKJWCWoneK9vZUEvgoiQS4u-JBJxm9A6jNzfiMp8zCyEVlEqBe3jdNu3KKCBTVlDpUoFBWyNdiKWzbi6AdYWGrsV902zko5-83A_nyOOY8pv8StNJvvh4Splly37IM70VV71_H3n5lwtxeGoO6-ei3W2261VbJKemourrAJVDRk2KjIHOcoimR4pogrZBq7rzjjuMmkKM1DnsQ_CWiABmx4W4-51NzHz8HNKHH76P_wfwB4utPqs |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/SIELA61056.2024.10637835 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798350382365 |
| EndPage | 6 |
| ExternalDocumentID | 10637835 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i91t-2f8b0293e34515660d7ebc6f35c36b47b418da9ed3c45bcc5d93fbba755500783 |
| IEDL.DBID | RIE |
| IngestDate | Wed Sep 04 05:53:22 EDT 2024 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i91t-2f8b0293e34515660d7ebc6f35c36b47b418da9ed3c45bcc5d93fbba755500783 |
| PageCount | 6 |
| ParticipantIDs | ieee_primary_10637835 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-June-12 |
| PublicationDateYYYYMMDD | 2024-06-12 |
| PublicationDate_xml | – month: 06 year: 2024 text: 2024-June-12 day: 12 |
| PublicationDecade | 2020 |
| PublicationTitle | 2024 23rd International Symposium on Electrical Apparatus and Technologies (SIELA) |
| PublicationTitleAbbrev | SIELA |
| PublicationYear | 2024 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.8748237 |
| Snippet | Electroencephalography (EEG) has emerged as a powerful tool for monitoring and understanding brain activity. In recent years, the use of machine learning... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 1 |
| SubjectTerms | Data processing EEG Electroencephalography Independent component analysis Machine learning Neural activity Pipelines Visualization |
| Title | EEG Data Processing with Machine Learning |
| URI | https://ieeexplore.ieee.org/document/10637835 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LS8QwEA7unjypWPFNDl48pLZN2iZH0a6ruIvgCntb8piICF2R9uKvN0lbRUHwFpJCXg0f38w3MwidKem4cerd7qW0hBnBiHS4ThRYLpiVNAnpGGbzYvrE7pb5sg9WD7EwABDEZxD7ZvDlm7VuvanMvfCCekvFCI3cf9YFaw3qnERcPN5W95eFLyXveF_G4uHzH4VTAm5MttB8mLGTi7zGbaNi_fErGeO_l7SNou8QPfzwBT47aAPqXXReVTf4WjYS9_p_N4S9pRXPgmYScJ9O9TlCi0m1uJqSvhYCeRFpQzLLVeKQGSjLPeNKTAlKF5bmmhaKlYql3EgBhmqWK61zI6hV7iJyx0C8p24Pjet1DfvutGTGeDB0UMUElVwmDGxqslI7NsPNAYr8NldvXbaL1bDDwz_6j9CmP20S6vkco3Hz3sKJA-pGnYYL-gRE_5F3 |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LSwMxEA5aD3pSseLbPXjxkHV3M9ndHEVXW22LYIXeSh4TEaEV2V789SbprqIgeAsJIS_Cxzcz3wwhZ0o6bpx6t3shLQUjgEqH61ShLQVYyZKQjmE4yntPcDfhk0asHrQwiBiCzzD2zeDLN3O98KYy98Nz5i0Vq2TNAT_wpVyrjc9JxMVjvxpc5r6YvGN-GcTthB-lUwJy3GySUbvmMmDkNV7UKtYfv9Ix_ntTW6T7LdKLHr7gZ5us4GyHnFfVbXQtaxk1CgA3FHlbazQMUZMYNQlVn7tkfFONr3q0qYZAX0Ra08yWKnHYjAy451yJKVDp3DKuWa6gUJCWRgo0TANXWnMjmFXuKbjjIN5Xt0s6s_kM99xtyQzKYOpgCgSTpUwAbWqyQjs-U5p90vXHnL4t811M2xMe_NF_StZ74-FgOuiP7g_Jhr95Gqr7HJFO_b7AYwfbtToJj_UJGeGUxA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2024+23rd+International+Symposium+on+Electrical+Apparatus+and+Technologies+%28SIELA%29&rft.atitle=EEG+Data+Processing+with+Machine+Learning&rft.au=Ivanov%2C+Aleksandar&rft.au=Cerbulescu%2C+Cristina&rft.date=2024-06-12&rft.pub=IEEE&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FSIELA61056.2024.10637835&rft.externalDocID=10637835 |