• DocumentCode
    2721034
  • Title

    Monitoring respiratory rate based on tracheal sounds. First experiences

  • Author

    Sierra, G. ; Telfort, V. ; Popov, B. ; Durand, L.-G. ; Agarwal, R. ; Lanzo, V.

  • Author_Institution
    Andromed Inc., Montreal, Que., Canada
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    The objective was to develop a non-invasive method for continuously monitoring respiratory rate (RR) based on tracheal sounds. 25 volunteers and 36 patients with chronic pulmonary diseases were enrolled in a clinical study. Tracheal sounds were acquired using a contact piezoelectric sensor placed on the examinee´s throat and analyzed using a combined investigation of the sound envelope and frequency content. RR estimates were compared to reference measurements taken from a pneumotachometer coupled to a face mask worn by the examinee. RR was also manually counted by a respiratory technician. Two types of breathing (mouth and nose) and three different positions were studied (fowler, semi-fowler and supine). RR estimated in volunteers had a success rate (SR) of 96%, a correlation coefficient (r) of 0.99 and a standard error of the estimate (SEE) of 0.56. The RR estimated in patients was comparable or slightly better (SR = 85%, r = 0.93 and SEE = 1.49) than those obtained by manual count (SR = 82%, r = 0.91, SEE = 1.58), which is the method widely used in clinical settings. No significant difference in the capacity to estimate RR was found related to posture and breathing type, making this method useful for continuous monitoring.
  • Keywords
    bioacoustics; diseases; lung; medical signal processing; patient monitoring; piezoelectric transducers; pneumodynamics; sensors; breathing; chronic pulmonary diseases; contact piezoelectric sensor; fowler position; mouth; nose; pneumotachometer; respiratory rate monitoring; semifowler position; supine position; throat; tracheal sounds; Acoustic sensors; Acoustic signal processing; Computer displays; Diseases; Frequency; Mouth; Nose; Pathology; Patient monitoring; Strontium; Respiratory rate; signal processing; tracheal sound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403156
  • Filename
    1403156