Biomedical Engineering Reference
In-Depth Information
The recorded breathing motions of 448 patients include regular and irregular
patterns in our testbed. With the proposed method, the breathing patterns can be
divided into regular/irregular breathing patterns based on the regular ratio
ðÞ
of
the true negative range to the period of observation. The experimental results
validated that our proposed irregular breathing classifier can successfully detect
irregular breathing patterns based on the ratio, and that the breathing cycles of any
given patient with a minimum length of 900 s can be classified reliably enough to
adjust the safety margin prior to therapy in the proposed classification.
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