Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest.

Detalles Bibliográficos
Publicado en:Medical & Biological Engineering & Computing Vol. 62; no. 2; pp. 521 - 536
Autores principales: Zhang, Runkai, Rong, Rong, Gan, John Q., Xu, Yun, Wang, Haixian, Wang, Xiaoyun
Formato: Journal Article
Publicado: Springer Nature Feb2024
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174839913&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 174839913
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Feb2024
      vid: 62
      iid: 2
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        174839913
        173506578
        10.1007/s11517-023-02961-5
        174839913
      ppf: 521
      ppct: 15
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest.
      aug:
        au:
          Zhang, Runkai
          Rong, Rong
          Gan, John Q.
          Xu, Yun
          Wang, Haixian
          Wang, Xiaoyun
        affil: https://ror.org/04ct4d772 Key Laboratory of Child Development and Learning Science of Ministry of Education, School of Biological Science & Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, People's Republic of China
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N