TY - GEN
T1 - Implementation of Fuzzy Logic Control on the ESP32 Microcontroller for an Automatic Infusion Monitoring System
AU - Pamungkas, Yuri
AU - Cahya Romadhona, Nathania
AU - Satria Alam Syahputra, Zulfikar
AU - Nazwa Rayhani, Kireina
AU - Sakti Wibowo, Ahmadha
AU - Akbar Parinduri, Faiz
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Infusion is a crucial instrument in patient care in hospitals. Infusion is given when the patient needs medicines quickly absorbed by the body. However, the method of administering and monitoring infusions to patients is currently still mostly done conventionally. Medical staff have to go back and forth to the patient's room to check the capacity and rate of the infusion drip. So, in this research, an automatic infusion monitoring system based on the Fuzzy Logic Control method is proposed using the ESP32 microcontroller. The system created has several advantages, namely measuring liquid volume, drip rate, and having a notification system (when the liquid is below a predetermined threshold). The fluid volume can be determined by using a load cell sensor, and the rate of infusion fluid can be controlled remotely using an application that has been integrated with the ESP32 microcontroller device. Apart from that, an infrared photodiode sensor is used to detect the rate of infusion drops, and a servo motor as a controller. All measurements are carried out automatically, and the data is sent via the ESP32 microcontroller to the patient database. In this way, users only need to observe the percentage of infusion volume without having to go to the infusion location and only come to the location when the infusion fluid has run out or when a new one is replaced. It is hoped that this system can increase the effectiveness of medical personnel in monitoring infusions quickly with accurate results.
AB - Infusion is a crucial instrument in patient care in hospitals. Infusion is given when the patient needs medicines quickly absorbed by the body. However, the method of administering and monitoring infusions to patients is currently still mostly done conventionally. Medical staff have to go back and forth to the patient's room to check the capacity and rate of the infusion drip. So, in this research, an automatic infusion monitoring system based on the Fuzzy Logic Control method is proposed using the ESP32 microcontroller. The system created has several advantages, namely measuring liquid volume, drip rate, and having a notification system (when the liquid is below a predetermined threshold). The fluid volume can be determined by using a load cell sensor, and the rate of infusion fluid can be controlled remotely using an application that has been integrated with the ESP32 microcontroller device. Apart from that, an infrared photodiode sensor is used to detect the rate of infusion drops, and a servo motor as a controller. All measurements are carried out automatically, and the data is sent via the ESP32 microcontroller to the patient database. In this way, users only need to observe the percentage of infusion volume without having to go to the infusion location and only come to the location when the infusion fluid has run out or when a new one is replaced. It is hoped that this system can increase the effectiveness of medical personnel in monitoring infusions quickly with accurate results.
KW - ESP32 Microcontroller
KW - Fuzzy Logic Control
KW - Infusion Monitoring System
KW - Load Cell Sensor
KW - Photodiode
UR - http://www.scopus.com/inward/record.url?scp=85189749703&partnerID=8YFLogxK
U2 - 10.1109/ICMERALDA60125.2023.10458205
DO - 10.1109/ICMERALDA60125.2023.10458205
M3 - Conference contribution
AN - SCOPUS:85189749703
T3 - Proceedings: ICMERALDA 2023 - International Conference on Modeling and E-Information Research, Artificial Learning and Digital Applications
SP - 289
EP - 294
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Modeling and E-Information Research, Artificial Learning and Digital Applications, ICMERALDA 2023
Y2 - 24 November 2023 through 24 November 2023
ER -