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
Link To Document :
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