• DocumentCode
    566311
  • Title

    HRV patterns and exacerbations of COPD patients following routine controls: A preliminary study

  • Author

    Lado, María J. ; Méndez, Arturo J. ; Vila, X.A. ; Rodríguez-Liñares, Leandro ; Félix, Paulo

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Vigo., Ourense, Spain
  • fYear
    2012
  • fDate
    20-23 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Chronic Obstructive Pulmonary Disease (COPD) is usually related to cardiovascular risk and sudden death. An effective tool for the diagnosis of exacerbations in COPD patients is the heart rate variability (HRV) analysis of polysomnograms, corresponding to patients which must be monitored in a clinical center. As an alternative, we present an ambulatory electrocardiography technique to control the COPD patients at home, by studying patients´s ECGs (Electrocardiogram) in distinct periods of time, to extract possible differences in two situations: 1) previous to the exacerbation and 2) during acute episodes. Results indicate that the spectral parameters experiment important differences when they are measured in an exacerbation episode, compared to the values obtained in the ECG recordings obtained one or two months before.
  • Keywords
    diseases; electrocardiography; medical signal processing; patient monitoring; risk analysis; spectral analysis; COPD patients; HRV patterns; ambulatory electrocardiography technique; cardiovascular risk; chronic obstructive pulmonary disease; exacerbation episode; heart rate variability analysis; patients ECG; polysomnograms; routine controls; spectral parameters; sudden death; Diseases; Electrocardiography; Hafnium; Heart rate variability; Indexes; Spectral analysis; Chronic Obstructive Pulmonary Disease (COPD); Electrocardiogram (ECG); Heart Rate Variability (HRV); Spectral Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on
  • Conference_Location
    Madrid
  • ISSN
    2166-0727
  • Print_ISBN
    978-1-4673-2843-2
  • Type

    conf

  • Filename
    6263066