A machine learning model for real-time asynchronous breathing monitoring

A machine learning model for real-time asynchronous breathing monitoring

The occurrence of asynchronous breathing (AB) during mechanical ventilation (MV) can have detrimental effect towards a patient's recovery. Hence, it is essential to develop an algorithm to automate AB detection in real-time. In this study, a method for AB detection using machine learning, in pa...

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Bibliographic Details
Main Authors: Loo, Nienloong, Chiew, Y. S., Tan, C. P., Arunachalam, Ganesaramachandran, Md Ralib, Azrina, Mat Nor, Mohd Basri
Format: Article
Language:English
English
Published: Elsevier B.V. 2018
Subjects:
R Medicine (General)
RC Internal medicine
RC803 Specialties of Internal Medicine-Diseases of The Digestive System. Gastroenterology
RD81 Anesthesiology
Online Access:http://irep.iium.edu.my/70025/
http://irep.iium.edu.my/70025/
http://irep.iium.edu.my/70025/
http://irep.iium.edu.my/70025/1/70025_A%20MACHINE%20LEARNING%20MODEL%20FOR%20REAL-TIME%20_article.pdf
http://irep.iium.edu.my/70025/2/70025_A%20MACHINE%20LEARNING%20MODEL%20FOR%20REAL-TIME%20_scopus.pdf

Internet

http://irep.iium.edu.my/70025/
http://irep.iium.edu.my/70025/
http://irep.iium.edu.my/70025/
http://irep.iium.edu.my/70025/1/70025_A%20MACHINE%20LEARNING%20MODEL%20FOR%20REAL-TIME%20_article.pdf
http://irep.iium.edu.my/70025/2/70025_A%20MACHINE%20LEARNING%20MODEL%20FOR%20REAL-TIME%20_scopus.pdf

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