Performances of surface mechanomyography using a parasternal patch to detect inspiratory effort during spontaneous breathing and mechanical ventilation

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Background: Monitoring respiratory muscle activity is crucial in respiratory distress. Current methods [esophageal pressure(Pes)/diaphragmatic electrical activity(Eadi)] are invasive and require specialized training. Surface mechanomyography (sMMG) offers a promising non-invasive alternative. Aim: This study evaluated sMMG's effectiveness in detecting inspiratory effort onset compared to EAdi and Pes in healthy volunteers. Methods: Participants were equipped with a parasternal sMMG sensor and a nasogastric Pes/EAdi probe connected to a ventilator. Respiratory flow, airway pressure, EAdi, Pes, and sMMG data were recorded during various ventilation modalities. Flow transition to 0 L/min defined inspiration start. Two operators independently analyzed EAdi, Pes, and sMMG, identifying inspiratory effort onset for each respiratry cycle. Delays between the onset of inspiraton indentified by the flow (reference) and the onset inspiratory effort detected by EAdi (ΔT EAdi-flow), Pes (ΔT Pes-flow) and sMMG (ΔT EAdi-flow) were calculated for each respiratory cycle. Results: Ten subjects were analyzed. Median delays for ΔT sMMG-flow, ΔT Pes-flow, and ΔT EAdi-flow were 6ms (IQR 294), -44ms (IQR 160), and -46ms (IQR 230), respectively (Figure 1). Conclusion: These preliminary results suggest sMMG may offer a valuable non-invasive method for detecting inspiratory effort initiation. erj;66/suppl_69/OA6544/F1 F1 F1

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