• DocumentCode
    1740683
  • Title

    Analysis of stationarity and statistical changes in myographic signals from respiratory muscles

  • Author

    Mañanas, M.A. ; Guillén, M. ; Fiz, Jose A. ; Morera, J. ; Caminal, P.

  • Author_Institution
    Dept. of Syst. Eng. & Autom., Tech. Univ. of Catalonia, Barcelona, Spain
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1337
  • Abstract
    Spectral analysis of myographic signals from respiratory muscles is a promising non-invasive technique to study respiratory diseases. However, it requires that the signal be at least weakly stationary. Electromyographic (EMG) and vibromyographic (VMG) signals are related to electrical and mechanical activity, respectively. Local stationarity of the signals from an accessory respiratory muscle is evaluated by means of the reverse arrangement test. A methodology for change detection and to analyze the evolution of the stationarity during the respiratory cycle in myographic signals is also presented. These studies are performed in healthy subjects and patients with chronic obstructive pulmonary disease. Local stationarity decreases with the increase of the level of ventilation and when a maintained exercise goes forward. High levels of ventilation and respiratory muscle fatigue produce statistical changes in myographic signals
  • Keywords
    diseases; electromyography; medical signal processing; muscle; pneumodynamics; spectral analysis; statistical analysis; EMG; VMG; accessory respiratory muscle; change detection; chronic obstructive pulmonary disease; electrical activity; electromyographic signals; healthy subjects; local stationarity; maintained exercise; mechanical activity; myographic signals; noninvasive technique; respiratory cycle; respiratory diseases; respiratory muscle fatigue; respiratory muscles; reverse arrangement test; spectral analysis; stationarity; statistical changes; ventilation levels; vibromyographic signals; Diseases; Electromyography; Fatigue; Frequency; Muscles; Optical fiber sensors; Signal analysis; Spectral analysis; Testing; Ventilation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.897985
  • Filename
    897985