Breathing rate monitoring using Doppler radar reflections
We propose a brathing rate classification method. The state of the subject is classified as unmoving state with normal breathing, unmoving state with no breathing or the state when the subject is moving before breathing estimation algorithms are applied.
I. Nejadgholi, H. Sadreazami, S. Rajan and M. Bolic, Classification of Doppler radar reflections as preprocessing for breathing rate monitoring, IET Signal Processing, vol. 13, no. 1, pp. 21-28, 2019.
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