Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation

Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation

Continuous monitoring of ventilatory parameters such as tidal volume (TV) and minute ventilation (MV) has shown to be effective in the prevention of respiratory compromise events in hospitalized patients. However, the non-invasive estimation of respiratory volume in non-intubated patients remains an...

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Bibliographic Details
Main Authors: Daniel E. Hurtado, Javier A. P. Chavez, Roberto Mansilla, Roberto Lopez, Angel Abusleme
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Hypoventilation
machine learning
respiratory monitoring
ventilatory parameters
Online Access:https://ieeexplore.ieee.org/document/9296762/

Internet

https://ieeexplore.ieee.org/document/9296762/

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