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CAREDAQ: Data acquisition device for mechanical ventilation waveform monitoring

Qing, Arn Ng and Yew, Christopher Shuen Ang and Yeong, Shiong Chiew and Wang, Xin and Chee, Pin Tan and Mat Nor, Mohd Basri and Damanhuri, Nor Salwa and Chase, Geoffrey (2022) CAREDAQ: Data acquisition device for mechanical ventilation waveform monitoring. HardwareX, 12 (358). pp. 1-13. ISSN 24680672

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Mechanical ventilation (MV) provides respiratory support for critically ill patients in the intensive care unit (ICU). Waveform data output by the ventilator provides valuable physiological and diagnostic information. However, existing systems do not provide full access to this information nor allow for real-time, non-invasive data collection. Therefore, large amounts of data are lost and analysis is limited to short samples of breathing cycles. This study presents a data acquisition device for acquiring and monitoring patient ventilation waveform data. Acquired data can be exported to other systems, allowing users to further analyse data and develop further clinically useful parameters. These parameters, together with other ventilatory information, can help personalise and guide MV treatment. The device is designed to be easily replicable, low-cost, and scalable according to the number of patient beds. Validation was carried out by assessing system performance and stability over prolonged periods of 7 days of continuous use. The device provides a platform for future integration of machine-learning or model-based modules, potentially allowing real-time, proactive, patient-specific MV guidance and decision support to improve the quality and productivity of care and outcomes.

Item Type: Article (Journal)
Uncontrolled Keywords: Mechanical ventilation (MV)
Subjects: 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: 19 Sep 2022 15:35
Last Modified: 19 Sep 2022 15:35
URI: http://irep.iium.edu.my/id/eprint/100065

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