• DocumentCode
    2089928
  • Title

    Biophotogrammetry model of respiratory motion analysis applied to children

  • Author

    Ripka, W.L. ; Ricieri, Denise da V. ; Ulbricht, L. ; Neves, E.B. ; Stadnik, A.M.W. ; Romaneli, E.F.R.

  • Author_Institution
    Electr. Eng. & Ind. Comput. Program, Fed. Univ. of Technol. - Parana, Paraná, Brazil
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    2404
  • Lastpage
    2407
  • Abstract
    This study aimed to test a protocol of measurements based on Biophotogrammetry to Analysis of Respiratory Mechanics (BARM) in healthy children. Seventeen normal spirometric children (six male and 11 female) were tested. Their performed maneuvers of forced inspiratory vital capacity were recorded in the supine position. The images were acquired by a digital camera, laterally placed to the trunk. Surface markers allowed that the files, exported to CorelDraw® software, were processed by irregular trapezoids paths. Compartments were defined in the thoracic (TX), abdominal (AB) and the chest wall (CW). They were defined at the end of an inspiration and expiration, both maximum, controlled by a digital spirometer. The result showed that the measured areas at the inspiratory and expiratory periods were statistically different (p<;0.05). It reflects the mobility of CW and compartments. In conclusion, the proposed method can identify the breathing pattern of the measured subject using images in two dimensions (2D).
  • Keywords
    biomechanics; biomedical optical imaging; paediatrics; photogrammetry; pneumodynamics; BARM; CorelDraw software; abdominal; biophotogrammetry model; biophotogrammetry to analysis of respiratory mechanics; breathing pattern identification; chest wall; digital camera; expiration; forced inspiratory vital capacity; inspiration; measurement protocol; normal spirometric children; respiratory motion analysis; supine position; thoracic; Biological system modeling; Educational institutions; Lungs; Member and Geographic Activities Board committees; Muscles; Pediatrics; Surface treatment; chest wall respiratory movements; children; photogrammetry; respiratory mechanics; Child; Child, Preschool; Computer Simulation; Female; Humans; Image Interpretation, Computer-Assisted; Male; Models, Biological; Photogrammetry; Respiratory Mechanics; Thoracic Wall;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346448
  • Filename
    6346448