Automated characterization of patient–ventilator interaction using surface electromyography
Julia Sauer,
Jan Graßhoff,
Niklas M. Carbon
et al.
Abstract:Background
Characterizing patient–ventilator interaction in critically ill patients is time-consuming and requires trained staff to evaluate the behavior of the ventilated patient.
Methods
In this study, we recorded surface electromyography ($$\textrm{sEMG}$$
sEMG
) signals from the diaphragm and intercostal muscles and esophageal pressure ($$P_{\textrm{es}}$$
P
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