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Fig. 3 | Annals of Intensive Care

Fig. 3

From: Automated characterization of patient–ventilator interaction using surface electromyography

Fig. 3

Waveforms and segmentation example. From top to bottom, this figure shows the airway pressure \(P_{\textrm{aw}}\) with the segmented ventilator support, the esophageal pressure \(P_{\textrm{es}}\) after cardiac artifact removal with black lines representing annotated inspiration starts, the muscular pressure \(P_{\textrm{mus}}\) derived from \(P_{\textrm{es}}\) which is used for finalizing the reference segmentation of patient inspiratory effort, the electrical muscle activity \(\textrm{sEMG}\) with automated segmentation results and finally the summary of all segmented inspirations in \(P_{\textrm{aw}}\), \(P_{\textrm{es}}\) and \(\textrm{sEMG}\). Based on the segmentation results, the asynchrony classification and the asynchrony index calculation are performed. During annotation of \(P_{\textrm{es}}\) the experts were blinded towards each other, the \(\textrm{sEMG}\) signal and the automated segmentation results

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