Auto-Mode Shifting: A Machine Learning-Based Automatic Ventilation Mode Selection Technique Personalized to Physiological Characteristics of Intubated Patients
Author:
Affiliation:
1. Indian Institute of Technology,Mandi,Himachal Pradesh,India
2. Vardhman Mahavir Medical College and Safdarjung Hospital,New Delhi,India
Funder
Indian Institute of Technology Mandi
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149892/10149896/10150025.pdf?arnumber=10150025
Reference12 articles.
1. Advanced closed loops during mechanical ventilation (PAV, NAVA, ASV, SmartCare)
2. Neurally adjusted ventilatory assist: a new approach to mechanically ventilated infants
3. Predicting Ventilator Modes To maintain Blood Oxygen Saturation of Post Surgical Patients Within Desired Limit Using Weighted KNN Classification Algorithm
4. Managing Initial Mechanical Ventilation in the Emergency Department
5. A Dual Closed-Loop Control System for Mechanical Ventilation
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