• DocumentCode
    1408769
  • Title

    Properties of Occlusional Devices in Extended Time–Frequency Analysis of Post-Interrupter Respiratory Signals

  • Author

    Jablonski, Ireneusz

  • Author_Institution
    Dept. of Electron., Wroclaw Univ. of Technol., Wroclaw, Poland
  • Volume
    12
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    504
  • Lastpage
    511
  • Abstract
    The usefulness of popular occlusional heads to extended, time-frequency analysis of post-interrupter respiratory data was tested in this study. A portable mobile interrupter module, designed to acquire (also in telemedical system) raw signals of mouth pressure (Qao) and airflow (Pao), enabled flexible valve operation during normal breathing and flow induced by the airflow generator. The potential for algorithmic development of data processing procedures and hardware limitations of the shutter-type valve by Jaeger and Micro Medical is depicted here. The power spectrum density of Pao and input interrupter impedance (Zint), calculated by the Micro Medical interrupter, were sensitive indices of respiratory mechanics measurement, but problematic natural oscillations and leakage during valve closing reduced the clinical relevance of the assessments. These hardware specifications represent prerequisites for prospective research in a sensing technology domain on an optimal valve-transducer unit design.
  • Keywords
    biomedical measurement; biomedical transducers; medical signal detection; pneumodynamics; time-frequency analysis; airflow generator; breathing; data processing procedure; extended time-frequency analysis; input interrupter impedance; micromedical interrupter; mouth pressure; occlusional device; optimal valve-transducer unit design; portable mobile interrupter module; post-interrupter respiratory signal; power spectrum density; raw signal acquisation; respiratory mechanics measurement; shutter-type valve; Hardware; Head; Interrupters; Medical diagnostic imaging; Time frequency analysis; Valves; Biomedical monitoring; leak detection; sensor phenomena and characterization; time–frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2010.2101059
  • Filename
    5672569