Automatic detection and quantification of sleep apnea using heart rate variability.

Detalles Bibliográficos
Publicado en:Journal of Electrocardiology Vol. 43; no. 6; pp. 535 - 542
Autores principales: Babaeizadeh S, White DP, Pittman SD, Zhou SH
Formato: research Journal Article
Publicado: W B Saunders Nov2010
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=104937450&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 104937450
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        00220736
        1276
      jtl: Journal of Electrocardiology
      issn: 00220736
      maglogo: N
    pubinfo:
      dt: Nov2010
      vid: 43
      iid: 6
      pid: 1351
      pub: W B Saunders
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        104937450
        2010848673
        10.1016/j.jelectrocard.2010.07.003
        NLM20719334
        104937450
      ppf: 535
      ppct: 7
      formats:
      tig:
        atl: Automatic detection and quantification of sleep apnea using heart rate variability.
      aug:
        au:
          Babaeizadeh S
          White DP
          Pittman SD
          Zhou SH
        affil: Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA.
      sug:
        subj:
          Algorithms
          Arrhythmia Diagnosis
          Diagnosis, Computer Assisted Methods
          Electrocardiography Methods
          Heart Rate
          Physics Methods
          Sleep Apnea Syndromes Diagnosis
          Adult
          Arrhythmia Complications
          Artificial Intelligence
          Female
          Human
          Male
          Middle Age
          Reproducibility of Results
          Sensitivity and Specificity
          Sleep Apnea Syndromes Complications
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N