Cover Image

Mechanical ventilation monitoring: development of a network data acquisition system

Mechanical ventilator (MV) is a vital life support machine for respiratory failure patients in Intensive Care Unit (ICU). Critical and beneficial information on patient’s breathing pattern can be obtained from the ventilator for research studies in a form of ventilator waveform data (VWD). However,...

Full description

Saved in:
Bibliographic Details
Main Authors: Ng, Qing Arn, Loo, Nien Loong, Chiew, Yeong Shiong, Md Ralib, Azrina, Mat Nor, Mohd Basri
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
R Medicine (General)
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
Online Access:http://irep.iium.edu.my/96478/7/96478_Mechanical%20ventilation%20monitoring.pdf
http://irep.iium.edu.my/96478/
https://www.sciencedirect.com/science/article/pii/S2405896320305693
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.96478
record_format dspace
spelling my.iium.irep.964782022-03-02T02:15:04Z http://irep.iium.edu.my/96478/ Mechanical ventilation monitoring: development of a network data acquisition system Ng, Qing Arn Loo, Nien Loong Chiew, Yeong Shiong Md Ralib, Azrina Mat Nor, Mohd Basri R Medicine (General) RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid Mechanical ventilator (MV) is a vital life support machine for respiratory failure patients in Intensive Care Unit (ICU). Critical and beneficial information on patient’s breathing pattern can be obtained from the ventilator for research studies in a form of ventilator waveform data (VWD). However, imperfect data collection system and lack of Electronic Health Record system integration has deterred the study of VWD to improve patient’s treatment. Furthermore, data acquisition of VWD is not easily accessible and cost-prohibitive to deploy. Therefore, current studies are limited to small samples of breathing cycle, despite continuously changing patient’s respiratory state during the day. Hence, this proposed system allows constant monitoring of patient’s ventilation data and real-time VWD visualization on mobile devices. This system consists of a data acquisition device (DAQ) to acquire VWD and a mobile web application to display patient’s breathing condition in real time. In addition, the collected VWD data are stored securely in network attached storage and onto cloud storage to prevent data loss. This framework has been successfully tested with MV attached with test lung. This proposed system can potentially expedite research studies by providing a better data collection and management specifically in the clinical environment. 2020 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/96478/7/96478_Mechanical%20ventilation%20monitoring.pdf Ng, Qing Arn and Loo, Nien Loong and Chiew, Yeong Shiong and Md Ralib, Azrina and Mat Nor, Mohd Basri (2020) Mechanical ventilation monitoring: development of a network data acquisition system. In: 21st IFAC World Congress, Berlin, Germany. https://www.sciencedirect.com/science/article/pii/S2405896320305693 10.1016/j.ifacol.2020.12.290
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic R Medicine (General)
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
spellingShingle R Medicine (General)
RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
Ng, Qing Arn
Loo, Nien Loong
Chiew, Yeong Shiong
Md Ralib, Azrina
Mat Nor, Mohd Basri
Mechanical ventilation monitoring: development of a network data acquisition system
description Mechanical ventilator (MV) is a vital life support machine for respiratory failure patients in Intensive Care Unit (ICU). Critical and beneficial information on patient’s breathing pattern can be obtained from the ventilator for research studies in a form of ventilator waveform data (VWD). However, imperfect data collection system and lack of Electronic Health Record system integration has deterred the study of VWD to improve patient’s treatment. Furthermore, data acquisition of VWD is not easily accessible and cost-prohibitive to deploy. Therefore, current studies are limited to small samples of breathing cycle, despite continuously changing patient’s respiratory state during the day. Hence, this proposed system allows constant monitoring of patient’s ventilation data and real-time VWD visualization on mobile devices. This system consists of a data acquisition device (DAQ) to acquire VWD and a mobile web application to display patient’s breathing condition in real time. In addition, the collected VWD data are stored securely in network attached storage and onto cloud storage to prevent data loss. This framework has been successfully tested with MV attached with test lung. This proposed system can potentially expedite research studies by providing a better data collection and management specifically in the clinical environment.
format Conference or Workshop Item
author Ng, Qing Arn
Loo, Nien Loong
Chiew, Yeong Shiong
Md Ralib, Azrina
Mat Nor, Mohd Basri
author_facet Ng, Qing Arn
Loo, Nien Loong
Chiew, Yeong Shiong
Md Ralib, Azrina
Mat Nor, Mohd Basri
author_sort Ng, Qing Arn
title Mechanical ventilation monitoring: development of a network data acquisition system
title_short Mechanical ventilation monitoring: development of a network data acquisition system
title_full Mechanical ventilation monitoring: development of a network data acquisition system
title_fullStr Mechanical ventilation monitoring: development of a network data acquisition system
title_full_unstemmed Mechanical ventilation monitoring: development of a network data acquisition system
title_sort mechanical ventilation monitoring: development of a network data acquisition system
publishDate 2020
url http://irep.iium.edu.my/96478/7/96478_Mechanical%20ventilation%20monitoring.pdf
http://irep.iium.edu.my/96478/
https://www.sciencedirect.com/science/article/pii/S2405896320305693
_version_ 1726791268432871424
score 13.211869

Similar Items