• DocumentCode
    561919
  • Title

    Deriving respiration from the pulse photoplethysmographic signal

  • Author

    Lázaro, Jesús ; Gil, Eduardo ; Bailón, Raquel ; Laguna, Pablo

  • Author_Institution
    Aragon Inst. for Eng. Res. (DA), Univ. of Zaragoza, Zaragoza, Spain
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    713
  • Lastpage
    716
  • Abstract
    A method for respiratory signal estimation from the pulse photoplethysmographic (PPG) signal is presented. The method is based on combination of three parameters present in this signal: pulse rate variability, pulse amplitude variability and pulse width variability. Evaluation is performed over a database containing electrocardiographic (ECG), PPG and respiratory signals simultaneously recorded in 17 subjects during a tilt table test, obtaining a respiratory rate estimation error of -0.26±7.30% (-2.11±14.49 mHz). These results are comparable or outperform those obtained from other methods which involve the ECG, so it is possible to have reliable respiration estimates from just the PPG.
  • Keywords
    cardiovascular system; electrocardiography; medical signal processing; photoplethysmography; ECG; electrocardiographic signals; pulse amplitude variability; pulse photoplethysmographic signal; pulse rate variability; pulse width variability; respiration derivation; respiratory rate estimation error; respiratory signal estimation; tilt table testing; Databases; Electrocardiography; Estimation; Frequency estimation; Sleep apnea; Spectral analysis; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2011
  • Conference_Location
    Hangzhou
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4577-0612-7
  • Type

    conf

  • Filename
    6164665