Classification patient-ventilator asynchrony with dual-input convolutional neural network

• Main Authors: Chong, Thern Chang, Loo, Nien Loong, Chiew, Yeong Shiong, Mat Nor, Mohd Basri, Md Ralib, Azrina
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: Elsevier B.V. 2021
• Subjects: R Medicine (General); RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
• Online Access: http://irep.iium.edu.my/96477/7/96477_Classification%20patient-ventilator%20asynchrony_WoS.pdf; http://irep.iium.edu.my/96477/8/96477_Classification%20patient-ventilator%20asynchrony_SCOPUS.pdf; http://irep.iium.edu.my/96477/9/96477_Classification%20patient-ventilator%20asynchrony.pdf; http://irep.iium.edu.my/96477/; https://www.sciencedirect.com/science/article/pii/S2405896321016797
• Institution: Universiti Islam Antarabangsa Malaysia

Mechanical ventilated respiratory failure patients may experience asynchronous breathing (AB). Frequent occurrence of AB may impose detrimental effect towards patient’s condition, however, there is lack of autonomous AB detection approach impedes the explication of aetiology of AB causing underestim...