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A Hybrid Rule-Based and Deep Learning Framework for Ventilator Waveform Segmentation and Delineation
2026-01-25
respiratory medicine
Title + abstract only
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1Accurate assessment of patient-ventilator interaction is critical for optimizing respiratory support and detecting harmful dyssynchronies linked to adverse outcomes, including ventilator-induced lung injury and prolonged ICU stays. This requires precise, breath-by-breath segmentation and phase delineation of ventilator waveforms, specifically pressure, flow, and volume. Current reliance on manual annotation limits scalability and consistency, particularly given the variability of waveforms acro...
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