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    수액 및 소변 측정용 원격 모니터링 시스템 = Remote Monitoring System for Fluid and Urine Measurement

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    https://www.riss.kr/link?id=A109454875

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In this paper, we propose an IoT-based remote monitoring system designed for real-time tracking of fluid and urine output, with integrated hematuria detection. The system utilizes a load cell sensor to measure weight fluctuations in the bag and an RGB color sensor to monitor urine color, enabling immediate detection and alerts for hematuria. Additionally, the backend system compares the weights of the infusion and urine bags to assess fluid balance, using fuzzy logic to provide status updates. The compact, lightweight device design facilitates real-time data transmission and visualization via wireless protocols, supporting remote monitoring. Experimental results confirm the system's capability to detect weight changes as small as 5 ml and identify hematuria with 100% accuracy. Above all, it is expected to reduce the workload of medical staff for continuous monitoring and contribute to the rapid detection of abnormal fluid imbalances and hematuria.
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    In this paper, we propose an IoT-based remote monitoring system designed for real-time tracking of fluid and urine output, with integrated hematuria detection. The system utilizes a load cell sensor to measure weight fluctuations in the bag and an RGB...

    In this paper, we propose an IoT-based remote monitoring system designed for real-time tracking of fluid and urine output, with integrated hematuria detection. The system utilizes a load cell sensor to measure weight fluctuations in the bag and an RGB color sensor to monitor urine color, enabling immediate detection and alerts for hematuria. Additionally, the backend system compares the weights of the infusion and urine bags to assess fluid balance, using fuzzy logic to provide status updates. The compact, lightweight device design facilitates real-time data transmission and visualization via wireless protocols, supporting remote monitoring. Experimental results confirm the system's capability to detect weight changes as small as 5 ml and identify hematuria with 100% accuracy. Above all, it is expected to reduce the workload of medical staff for continuous monitoring and contribute to the rapid detection of abnormal fluid imbalances and hematuria.

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    참고문헌 (Reference)

    1 H. Chen, "Wi-Uro: Real-time Monitoring and Alarming for Urine Bags Using Commodity Wi-Fi" 3029-3034, 2022

    2 B. S. Abdulwahed, "Urine Color Analysis Using Random Forest Algorithm" 79-83, 2022

    3 R. Belasco, "The Effect of Hydration on Urine Color Objectively Evaluated in CIE L* a* b* Color Space" 7 : 2020

    4 S. Kang, "Survey on the Demand for Adoption of Internet of Things(IoT)-based Services in Hospitals : Investigation of Nurses' Perception in a Tertiary University Hospital" 47 : 18-23, 2019

    5 R. Arshad, "Smart IoTs Based Urine Measurement System" Bournemouth University 2018

    6 G. Reis, "Safe Hb Concentration Measurement During Bladder Irrigation Using Artificial Intelligence" 21 (21): 5723-, 2021

    7 송영애 ; 이현정 ; 김현정, "Nursing, Robotics, Technological Revolution: Robotics to Support Nursing Work" 20 (20): 144-153, 2018

    8 이한빛 ; 문우종 ; 김슬아 ; 이진희 ; 장옥주, "Exploring the Applicability of Artificial Intelligence for the Improvement of Nursing Practice in Korea" 29 (29): 564-576, 2023

    9 J. L. Lafuente, "Development of a Urinometer for Automatic Measurement of Urine Flow in Catheterized Patients" 18 (18): e0290319-, 2023

    10 A. Sanguansri, "Development of a Prototype Sensor-integrated Urine Bag for Real-time Measuring" Bournemouth University 2016

    1 H. Chen, "Wi-Uro: Real-time Monitoring and Alarming for Urine Bags Using Commodity Wi-Fi" 3029-3034, 2022

    2 B. S. Abdulwahed, "Urine Color Analysis Using Random Forest Algorithm" 79-83, 2022

    3 R. Belasco, "The Effect of Hydration on Urine Color Objectively Evaluated in CIE L* a* b* Color Space" 7 : 2020

    4 S. Kang, "Survey on the Demand for Adoption of Internet of Things(IoT)-based Services in Hospitals : Investigation of Nurses' Perception in a Tertiary University Hospital" 47 : 18-23, 2019

    5 R. Arshad, "Smart IoTs Based Urine Measurement System" Bournemouth University 2018

    6 G. Reis, "Safe Hb Concentration Measurement During Bladder Irrigation Using Artificial Intelligence" 21 (21): 5723-, 2021

    7 송영애 ; 이현정 ; 김현정, "Nursing, Robotics, Technological Revolution: Robotics to Support Nursing Work" 20 (20): 144-153, 2018

    8 이한빛 ; 문우종 ; 김슬아 ; 이진희 ; 장옥주, "Exploring the Applicability of Artificial Intelligence for the Improvement of Nursing Practice in Korea" 29 (29): 564-576, 2023

    9 J. L. Lafuente, "Development of a Urinometer for Automatic Measurement of Urine Flow in Catheterized Patients" 18 (18): e0290319-, 2023

    10 A. Sanguansri, "Development of a Prototype Sensor-integrated Urine Bag for Real-time Measuring" Bournemouth University 2016

    11 A. A. Gunawan, "Development of Urine Hydration System Based on Urine Color and Support Vector Machine" 135 : 481-489, 2018

    12 조중재 ; 유준혁, "Check4Urine : Smartphone-based Portable Urine-analysis System" 10 (10): 13-23, 2015

    13 M. Chidera, "An LDR Based Colour Sensor for Urine Analysis : A Review" 8 (8): 7704-7711, 2020

    14 A. Lee, "An IoT-Based Automatic and Continuous Urine Measurement System" 3 (3): 446-454, 2023

    15 A. Otero, "An Automatic Critical Care Urine Meter" 12 (12): 13109-13125, 2012

    16 A. Otero, "A Device for Automatically Measuring and Supervising the Critical Care Patient’s Urine Output" 10 (10): 934-951, 2010

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