Ethan K Murphy, Justice Amoh, Saaid H Arshad, Ryan J Halter, Kofi Odame
Machine Learning algorithms trained on electrical-impedance tomography data are presented for portable cardiac monitoring. The approach was validated on a simulated thorax and a measured tank experiment.
In this paper, we consider two different approaches of using deep neural networks for cough detection. The cough detection task is cast as a visual recognition problem and as a sequence-to-sequence labeling problem.