Multi-Modal Feature Fusion-Based Machine Learning to Detect Abnormal Mechanical Ventilation

Multi-Modal Feature Fusion-Based Machine Learning to Detect Abnormal Mechanical Ventilation

Mechanical ventilation (MV) is a critical life-supportive technique for saving patients with acute respiratory failure. Abnormal ventilation happens frequently due to patient-ventilator dyssynchrony (PVD), condensation in the circuit, increased airway resistance, and so on. The previous studies that...

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Bibliographic Details
Main Authors: Huaqing Zhang, Lizhu Wang, Jianfeng Xu, Yan Xiang, Zhaocai Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Patient-ventilator dyssynchrony
condensation
expiratory flow limit
multi-modal features
random forest
Online Access:https://ieeexplore.ieee.org/document/10278422/

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