Detecting Sleep Apnea by Heart Rate Variability Analysis: Assessing the Validity of Databases and Algorithms.

Bibliographic Details
Published in:Journal of Medical Systems Vol. 35; no. 4; pp. 473 - 482
Main Authors: Lado, María, Vila, Xosé, Rodríguez-Liñares, Leandro, Méndez, Arturo, Olivieri, David, Félix, Paulo
Format: research tables/charts Journal Article
Published: Springer Nature Aug2011
Online Access:View this record in EBSCOhost
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        atl: Detecting Sleep Apnea by Heart Rate Variability Analysis: Assessing the Validity of Databases and Algorithms.
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          Lado, María
          Vila, Xosé
          Rodríguez-Liñares, Leandro
          Méndez, Arturo
          Olivieri, David
          Félix, Paulo
        affil: Department of Computer Science, ESEI, University of Vigo, Campus As Lagoas 32004 Ourense Spain
      sug:
        subj:
          Sleep Apnea, Obstructive Diagnosis
          Heart Rate Variability
          Human
          Electrocardiography
          Signal Processing, Computer Assisted
          Funding Source
          T-Tests
          Descriptive Statistics
          Data Analysis Software
          Confidence Intervals
          Male
          Female
          Adolescence
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Algorithms
          Sensitivity and Specificity
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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