A 3D machine vision method for non-invasive assessment of respiratory function.

@article{Smith2016A3M,
  title={A 3D machine vision method for non-invasive assessment of respiratory function.},
  author={Lyndon N. Smith and Mark F. L. Smith and Margaret E Fletcher and A. Henderson},
  journal={The international journal of medical robotics + computer assisted surgery : MRCAS},
  year={2016},
  volume={12 2},
  pages={
          179-88
        }
}
BACKGROUND Respiratory function testing is important for detecting and monitoring illness, however, it is difficult for some patients, such as the young and severely ill, to perform conventional tests that require cooperation and/or patient contact. METHOD A new method was developed for non-contact breathing measurement, employing photometric stereo to capture the surface topography of the torso of an unconstrained subject. The surface is integrated to calculate time-dependent volume changes… CONTINUE READING
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