Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1292
Title: Smart saline management system
Authors: Amarasekara, C
Manage, R
Abeywickrama, C
Perera, R
Achchige, R. A. S. R
Wijekoon, J
Keywords: Poster Abstract
Smart Saline
Saline Management System
Issue Date: 11-Apr-2018
Publisher: IEEE
Citation: C. Amarasekara, R. Manage, C. Abeywickrama, R. Perera, R. A. S. R. Achchige and J. L. Wijekoon, "Poster Abstract: Smart Saline Management System," 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2018, pp. 108-109, doi: 10.1109/IPSN.2018.00017.
Series/Report no.: 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);Pages 108-109
Abstract: Supplying the correct amount of vital nutrition at the correct time is the most fundamental and important requirement for the hospitalized patients. Among those treatments, saline therapy is the most important treatment many patients receive from the hospitals. It is a fact that, in almost all hospitals of Sri Lanka, an assistant or a nurse, among other assigned health care duties, are responsible for monitoring the saline supplied for each patient. Unfortunately, there are some critical situations, i.e., patient's blood refluxing back into the saline tubing system, patients had to experience because of the observers' mistake due to their busy schedules. Nonetheless, the traditional method of supplying saline is also proven not accurate because the saline drop rate for a patient has been adjusted by looking at the drops falling speed in the drip chamber. The proposed system facilitates a sophisticated method of controlling saline drop rate by monitoring the saline system remotely by using IoT.
URI: http://rda.sliit.lk/handle/123456789/1292
ISBN: 978-1-5386-5298-5
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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