Automatic Detection of Asynchrony Levels of Mechanically Ventilated Patients-Reference-Cited by-同舟云学术

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Automatic Detection of Asynchrony Levels of Mechanically Ventilated Patients

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)
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Author:

Damanhuri Nor Salwa¹,Bakar Intan Ku Nurathirah Abu¹,Sauki Nur Sa’Adah Muhamad¹,Othman Nor Azlan²,Chiew Yeong Shiong³,Meng Belinda Chong Chiew¹

Affiliation:

1. Electrical Engineering Studies, College of Engineering Universiti Teknologi MARA, Cawangan Pulau Pinang,Permatang,Pauh,Pulau Pinang,13500

2. College of Engineering Universiti Teknologi MARA, Cawangan Pulau Pinang, Jalan Permatang Pauh,Center of Electrical Engineering Studies,Permatang,Pauh,Pulau Pinang,13500

3. Monash University Malaysia, Bandar Sunway,School of Engineering,Malaysia,47500

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10087343/10087366/10087410.pdf?arnumber=10087410

Reference19 articles.

1. Clinical Application of Respiratory Elastance (CARE Trial) for Mechanically Ventilated Respiratory Failure Patients: A Model-based Study

2. Automatic detection of patient-ventilator asynchrony by spectral analysis of airway flow

3. Assessing the Asynchrony Event Based on the Ventilation Mode for Mechanically Ventilated Patients in ICU

4. Time-Varying Respiratory Elastance for Spontaneously Breathing Patients

5. An automated and standardized neural index to quantify patient-ventilator interaction

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