Portable forced oscillation device for point-of-care pulmonary function testing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The forced oscillation technique (FOT) provides a simple and accurate approach for pulmonary function testing. However, most current devices are large and high cost, hence the test remains sparingly used. To address this problem, we verified the feasibility of a smart and portable forced oscillation device based on a small subwoofer and ultrasonic sensor that is targeted at point-of-care pulmonary function testing. In this paper, we first develop and optimize the signal processing algorithm for impedance estimation. Then we characterize the signal quality of programmable oscillatory waveforms with varying frequency, amplitude and duration. Finally, we evaluate the performance of the device against both mechanical models and human subjects. The results show that the coherence function is above 0.9 for all frequencies and the measurement error is less than 10%. The device yields good repeatability and satisfies the clinical diagnostic requirements.

Original languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2282-2286
Number of pages5
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2016-October
ISSN (Print)1557-170X

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country/TerritoryUnited States
CityOrlando
Period8/16/168/20/16

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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