Convolutional long short-term memory neural network integrated with classifier in classifying type of asynchrony breathing in mechanically ventilated patients

Background and objective: Asynchronous breathing (AB) occurs when a mechanically ventilated patient’s breathing does not align with the mechanical ventilator (MV). Asynchrony can negatively impact recovery and outcome, and/or hinder MV management. A model-based method to accurately classify differ...

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Bibliographic Details

Main Authors:	Muhamad Sauki, Nur Sa’adah, Damanhuri, Nor Salwa, Othman, Nor Azlan, Yeong, Shiong Chiew, Chong, Belinda Chiew Meng, Mat Nor, Mohd Basri, Chase, J․Geoffrey
Format:	Article
Language:	en en
Published:	Elsevier Ireland Ltd. 2025
Subjects:	RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/123474/2/123474_Convolutional%20long%20short-term%20memory%20neural%20network.pdf http://irep.iium.edu.my/123474/3/123474_Convolutional%20long%20short-term%20memory%20neural%20network_Scopus.pdf http://irep.iium.edu.my/123474/ https://www.sciencedirect.com/science/article/abs/pii/S0169260725000975
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