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A Hybrid Rule-Based and Deep Learning Framework for Ventilator Waveform Segmentation and Delineation

2026-01-25

Abstract excerpt

1 Accurate 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 limi...

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Literature Corpus work
dedbfd00-ad69-507b-8f70-f8f711e0bc73
DOI
10.64898/2026.01.24.26344749
Open publication

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A Hybrid Rule-Based and Deep Learning Framework for Ventilator Waveform Segmentation and DelineationDOI 10.64898/2026.01.24.26344749
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