Patient-ventilator interaction using autoencoder derived magnitude of asynchrony breathing

• Main Authors: Loo, Nien Loong, Chiew, Yeong Shiong, Shuen Ang, Christopher Yew, Tan, Chee Pin, Mat Nor, Mohd Basri
• Format: Proceeding Paper
• Language: English; English
• Published: International Federation of Automatic Control (IFAC) 2023
• Subjects: RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
• Online Access: http://irep.iium.edu.my/110341/7/110341_Patient-Ventilator%20interaction%20using%20Autoencoder%20derived%20Magnitude.pdf; http://irep.iium.edu.my/110341/13/110341_Patient-Ventilator%20Interaction%20using%20Autoencoder%20derived%20Magnitude%20of%20Asynchrony%20Breathing_Scopus.pdf; http://irep.iium.edu.my/110341/; https://www.sciencedirect.com/science/article/pii/S2405896323015094
• Institution: Universiti Islam Antarabangsa Malaysia

The occurrence of asynchronous breathing (AB) is prevalent during mechanical ventilation (MV) treatment. Despite studies being carried out to elucidate the impact of AB on MV patients, the asynchrony index, a metric to describe the patient-ventilator interaction, may not be sufficient to quantify th...