• DocumentCode
    2393454
  • Title

    Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in copd patients

  • Author

    Sarlabous, Leonardo ; Torres, Abel ; Fiz, José A. ; Gea, Joaquim ; Martínez-Llorens, Juana M. ; Jané, Raimon

  • Author_Institution
    Dept. ESAII, Univ. Politec. de Catalunya, Barcelona, Spain
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3925
  • Lastpage
    3928
  • Abstract
    The study of mechanomyographic (MMG) signals of respiratory muscles is a promising technique in order to evaluate the respiratory muscular effort. In this work MMG signals from left and right hemidiaphragm (MMGl and MMGr, respectively) acquired during a respiratory protocol have been analyzed. The acquisition of both MMG signals was carried out by means of two capacitive accelerometers placed on both left and right sides of the costal wall. The signals were recorded in a group of six patients with Chronic Obstructive Pulmonary Disease (COPD). It has been observed that with the increase of inspiratory pressure it takes place an increase of the amplitude and a displacement toward low frequencies in both left and right MMG signals. Furthermore, it has been seen that the increase of amplitude and the decrease of frequency in MMG signals are more pronounced in severe COPD patients. This behaviour is similar for both MMGl and MMGr signals. Results suggest that the use of MMG signals could be potentially useful for the evaluation of the respiratory muscular function in COPD patients.
  • Keywords
    accelerometers; biomechanics; capacitive sensors; diseases; electromyography; medical signal detection; MMG signals; capacitive accelerometers; chronic obstructive pulmonary disease; electromyographic signal; inspiratory pressure; left hemidiaphragm; mechanomyographic signals; mechanomyography; respiratory muscular function; right hemidiaphragm; Acceleration; Aged; Algorithms; Biophysics; Diaphragm; Electromyography; Humans; Middle Aged; Muscle Contraction; Pressure; Pulmonary Disease, Chronic Obstructive; Respiration; Respiratory Mechanics; Respiratory Muscles; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333536
  • Filename
    5333536