eprintid: 17362
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/73/62
datestamp: 2023-12-19 03:23:46
lastmod: 2023-12-19 03:23:46
status_changed: 2023-12-19 03:07:55
type: article
metadata_visibility: show
creators_name: Prabakar, S.
creators_name: Samson Isaac, J.
creators_name: Karthikeyan, R.
creators_name: Porkumaran, K.
creators_name: Kannan, R.
title: An Agile System for FiO2 Regulation in Ventilators
ispublished: pub
keywords: Intensive care units; Patient rehabilitation; Ventilation, Agile systems; Automatic intelligence; Blende correction; FiO2; Half the difference; ICU ventilator; Mechanical ventilation; Respiratory failure; SpO2, Blending
note: cited By 0; Conference of 1st International Conference on Artificial Intelligence for Smart Community, AISC 2020 ; Conference Date: 17 December 2020 Through 18 December 2020; Conference Code:286319
abstract: Respiratory failure cases are many flowing and filling the ICUs of the hospitals at any point of time. In cases of respiratory failure, either short-term or long-term ventilation is required for the patient for survival. Maintaining of O2 saturation in patients is of prime objective in mechanical ventilation which in turn contributes for their recovery. Patients connected to the ventilator are constantly monitored for O2 saturation. Any fall in O2 saturation requires immediate intervention of clinician to introspect the problem and sort out the issues. One of the main reasons for low O2saturation is low value FiO2 settings on the ventilator. This FiO2 setting has to be increased or decreased manually as per monitored SpO2 analyzer. There are always possibilities that exist, that patient on ventilators may go unnoticed or get less attention during emergencies cases entering the ICU. In this project we approached to automatically blend Air/O2 mixer of an ICU ventilator to maintain a target SpO2 Saturation on the patient, say 98. Algorithm mechanism is designed in such a way, continuous FiO2 changes will lead to achieve targeted SpO2 level of the patient. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
date: 2022
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142767068&doi=10.1007%2f978-981-16-2183-3_70&partnerID=40&md5=8e3d43ea56f444b7c2374b46a405cc34
id_number: 10.1007/978-981-16-2183-3₇₀
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 758
pagerange: 725-733
refereed: TRUE
isbn: 9789811621826
issn: 18761100
citation:   Prabakar, S. and Samson Isaac, J. and Karthikeyan, R. and Porkumaran, K. and Kannan, R.  (2022) An Agile System for FiO2 Regulation in Ventilators.  Lecture Notes in Electrical Engineering, 758.  pp. 725-733.  ISSN 18761100