Abstract

We present an imaging-based method for noncontact spirometry. The method tracks the subtle respiratory-induced shoulder movement of a subject, builds a calibration curve, and determines the flow-volume spirometry curve and vital respiratory parameters, including forced expiratory volume in the first second, forced vital capacity, and peak expiratory flow rate. We validate the accuracy of the method by comparing the data with those simultaneously recorded with a gold standard reference method and examine the reliability of the noncontact spirometry with a pilot study including 16 subjects. This work demonstrates that the noncontact method can provide accurate and reliable spirometry tests with a webcam. Compared to the traditional spirometers, the present noncontact spirometry does not require using a spirometer, breathing into a mouthpiece, or wearing a nose clip, thus making spirometry test more easily accessible for the growing population of asthma and chronic obstructive pulmonary diseases.

Original languageEnglish (US)
Article number057002
JournalJournal of Biomedical Optics
Volume22
Issue number5
DOIs
StatePublished - 2017

Keywords

  • Mobile health
  • Remote sensing
  • Spirometry
  • Video analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Biomedical Engineering

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  • Cite this

    Liu, C., Yang, Y., Tsow, F., Shao, D., & Tao, N. (2017). Noncontact spirometry with a webcam. Journal of Biomedical Optics, 22(5), [057002]. https://doi.org/10.1117/1.JBO.22.5.057002