• DocumentCode
    2820486
  • Title

    Apnea detection from 24-hour recordings of respiration in chronic heart failure patients

  • Author

    Varanini, M. ; Mortara, A. ; Raciti, M. ; La Rovere, Maria Teresa ; Maestri, R. ; Pinna, GD ; Bertinelli, M. ; Emdin, M.

  • Author_Institution
    Inst. of Clinical Physiol., CNR, Pisa, Italy
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    489
  • Lastpage
    492
  • Abstract
    Patients with heart failure may present periodic breathing and Cheyne-Stokes respiration during polygraphic laboratory monitoring. Free-living 24-hour respiratory ambulatory recording should improve detection of abnormal breathing pattern. To test this hypothesis 32 heart failure patients underwent both 20-minute laboratory short-term recording and long-term ambulatory recording of ECG and respiratory signal. Automatic apnea identification has been performed by a technique based on amplitude demodulation of a filtered and enhanced respiratory signal. Automatic detection was effective for the identification of apneas/hypopneas both at day- and nighttime, long-term recordings showed an improved diagnostic accuracy as compared to short-term ones
  • Keywords
    electrocardiography; medical signal detection; patient monitoring; pneumodynamics; 20 min; 24 h; 24-hour respiration recordings; abnormal breathing pattern detection; amplitude demodulation; chronic heart failure patients; daytime; filtered enhanced respiratory signal; hypopneas; improved diagnostic accuracy; long-term ambulatory recording; nighttime; polygraphic laboratory monitoring; Adaptive filters; Cardiology; Demodulation; Filtering; Heart; Interpolation; Laboratories; Signal processing; Time measurement; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2000
  • Conference_Location
    Cambridge, MA
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-6557-7
  • Type

    conf

  • DOI
    10.1109/CIC.2000.898564
  • Filename
    898564