Sparse Granger Causality Analysis Model Based on Sensors Correlation for Emotion Recognition Classification in Electroencephalography

  1. Chen, Dongwei
  2. Miao, Rui
  3. Deng, Zhaoyong
  4. Han, Na
  5. Deng, Chunjian

Download
fncom-15-684373.pdf 1,34MB
WeightNameValue
1000 Titel
  • Sparse Granger Causality Analysis Model Based on Sensors Correlation for Emotion Recognition Classification in Electroencephalography
1000 Autor/in
  1. Chen, Dongwei |
  2. Miao, Rui |
  3. Deng, Zhaoyong |
  4. Han, Na |
  5. Deng, Chunjian |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-29
1000 Erschienen in
1000 Quellenangabe
  • 15
1000 Copyrightjahr
  • 2021
1000 Embargo
  • 2022-01-31
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fncom.2021.684373 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358835/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Abstract/Summary
  • In recent years, affective computing based on electroencephalogram (EEG) data has attracted increased attention. As a classic EEG feature extraction model, Granger causality analysis has been widely used in emotion classification models, which construct a brain network by calculating the causal relationships between EEG sensors and select the key EEG features. Traditional EEG Granger causality analysis uses the
1000 Sacherschließung
lokal Neuroscience
lokal granger causality analysis
lokal SC-SGA
lokal L1/2-based sparse granger causality analysis
lokal L2 norm logistic regression
lokal LASSO
lokal EEG sensors
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Q2hlbiwgRG9uZ3dlaQ==|https://frl.publisso.de/adhoc/uri/TWlhbywgUnVp|https://frl.publisso.de/adhoc/uri/RGVuZywgWmhhb3lvbmc=|https://frl.publisso.de/adhoc/uri/SGFuLCBOYQ==|https://frl.publisso.de/adhoc/uri/RGVuZywgQ2h1bmppYW4=
1000 Hinweis
  • DeepGreen-ID: 19bb8f9bd8024e488d16c6db2334676d ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6474664.rdf
1000 Erstellt am 2024-04-11T11:52:47.028+0200
1000 Erstellt von 322
1000 beschreibt frl:6474664
1000 Zuletzt bearbeitet 2024-05-07T12:33:03.068+0200
1000 Objekt bearb. Tue May 07 12:33:03 CEST 2024
1000 Vgl. frl:6474664
1000 Oai Id
  1. oai:frl.publisso.de:frl:6474664 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source