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.
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Abstract
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.
Item Type: | Conference or Workshop Item (Other) |
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Uncontrolled Keywords: | Mechanical Ventilator (MV); Ventilator Waveform Data (VWD); Real-Time Data Acquisition |
Subjects: | R Medicine > R Medicine (General) R Medicine > RC Internal medicine > RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Medicine > Department of Anaesthesiology & Intensive Care |
Depositing User: | Dr. Mohd Basri Mat Nor |
Date Deposited: | 02 Mar 2022 10:15 |
Last Modified: | 02 Mar 2022 10:15 |
URI: | http://irep.iium.edu.my/id/eprint/96478 |
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