TY - GEN
T1 - Design and Implementation of IoT-based Monitoring System for Multi Infusion Liquid Level
AU - Tan, Yamato
AU - Hidayat, Muhammad Fajar
AU - Waryani,
AU - MacHdi, Agustini Rodiah
AU - Yunus, Mochamad
AU - Jazidie, Achmad
AU - Rahayu, Novelita
AU - Herfiah, Shita
AU - Munir, Achmad
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Basically the kind of internet of things (IoT) in healthcare and medical sector can take many forms such as smart health services and medical devices. This paper deals with the design and implementation of IoT-based medical device in a form of system for monitoring multi infusion liquid level. The proposed device is designed to provide ease in the healthcare industry, particularly for hospital patients and medical staff. The monitoring system is intended to read indicators from the sensors mounted on the object, including infusion volume indicators and infusion drop indicators. This device transforms the voltage value from the load cell sensor to the infusion volume. When wholly charged in a 500 ml infusion, the load cell sensor voltage is 4.9 V, which lowers as the infusion volume declines. This figure is subsequently transmitted under control via a web service that can be viewed from a smartphone or personal computer (PC), allowing nurses to determine the amount of infusion in the patient.
AB - Basically the kind of internet of things (IoT) in healthcare and medical sector can take many forms such as smart health services and medical devices. This paper deals with the design and implementation of IoT-based medical device in a form of system for monitoring multi infusion liquid level. The proposed device is designed to provide ease in the healthcare industry, particularly for hospital patients and medical staff. The monitoring system is intended to read indicators from the sensors mounted on the object, including infusion volume indicators and infusion drop indicators. This device transforms the voltage value from the load cell sensor to the infusion volume. When wholly charged in a 500 ml infusion, the load cell sensor voltage is 4.9 V, which lowers as the infusion volume declines. This figure is subsequently transmitted under control via a web service that can be viewed from a smartphone or personal computer (PC), allowing nurses to determine the amount of infusion in the patient.
KW - Internet of Things (IoT)
KW - level monitoring
KW - liquid level
KW - load cell sensor
KW - multi infusion
UR - http://www.scopus.com/inward/record.url?scp=85192512014&partnerID=8YFLogxK
U2 - 10.1109/ic-ETITE58242.2024.10493832
DO - 10.1109/ic-ETITE58242.2024.10493832
M3 - Conference contribution
AN - SCOPUS:85192512014
T3 - 2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024
BT - 2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024
Y2 - 22 February 2024 through 23 February 2024
ER -