Blood Leakage Detection System in Hemodialysis Machine Filtration Process

Mohammad Maulana Damaringrat; Mohammad Nuh; Muhammad Hilman Fatoni; Tri Arief Sardjono

doi:10.1109/CENIM56801.2022.10037441

Blood Leakage Detection System in Hemodialysis Machine Filtration Process

Mohammad Maulana Damaringrat, Mohammad Nuh, Muhammad Hilman Fatoni, Tri Arief Sardjono

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Chronic kidney disease worldwide is currently on the rise and is a serious health problem. One of the important components that must be monitored is the Blood Leak Detector (BLD). In hemodialysis machines, BLD has an important role to protect patients from blood loss and unsterile dialysate infusion due to rupture of the dialyser membrane. In this study, a detection system was designed that aims to detect blood leakage using a turbidity sensor and a TCS3200 color sensor. The detection method in this system uses a fuzzy logic system with RGB input from the TCS3200 color sensor which will be uploaded to the microcontroller and the turbidity sensor will detect the amount of blood that is leaking. After testing, the BLD instrumentation system has 100% succeeded in detecting blood leakage with a minimum blood leakage of 1.5 mL.

Original language	English
Title of host publication	Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	139-143
Number of pages	5
ISBN (Electronic)	9781665476508
DOIs	https://doi.org/10.1109/CENIM56801.2022.10037441
Publication status	Published - 2022
Event	2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022 - Surabaya, Indonesia Duration: 22 Nov 2022 → 23 Nov 2022

Publication series

Name	Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022

Conference

Conference	2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Country/Territory	Indonesia
City	Surabaya
Period	22/11/22 → 23/11/22

Keywords

Chronic Kidney Disease
Fuzzy Logic System
Hemodialysis
Turbidity Sensor and TCS3200 Color Sensor

Access to Document

10.1109/CENIM56801.2022.10037441

Cite this

Damaringrat, M. M., Nuh, M., Fatoni, M. H., & Sardjono, T. A. (2022). Blood Leakage Detection System in Hemodialysis Machine Filtration Process. In Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022 (pp. 139-143). (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENIM56801.2022.10037441

Damaringrat, Mohammad Maulana ; Nuh, Mohammad ; Fatoni, Muhammad Hilman et al. / Blood Leakage Detection System in Hemodialysis Machine Filtration Process. Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 139-143 (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022).

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title = "Blood Leakage Detection System in Hemodialysis Machine Filtration Process",

abstract = "Chronic kidney disease worldwide is currently on the rise and is a serious health problem. One of the important components that must be monitored is the Blood Leak Detector (BLD). In hemodialysis machines, BLD has an important role to protect patients from blood loss and unsterile dialysate infusion due to rupture of the dialyser membrane. In this study, a detection system was designed that aims to detect blood leakage using a turbidity sensor and a TCS3200 color sensor. The detection method in this system uses a fuzzy logic system with RGB input from the TCS3200 color sensor which will be uploaded to the microcontroller and the turbidity sensor will detect the amount of blood that is leaking. After testing, the BLD instrumentation system has 100% succeeded in detecting blood leakage with a minimum blood leakage of 1.5 mL.",

keywords = "Chronic Kidney Disease, Fuzzy Logic System, Hemodialysis, Turbidity Sensor and TCS3200 Color Sensor",

author = "Damaringrat, {Mohammad Maulana} and Mohammad Nuh and Fatoni, {Muhammad Hilman} and Sardjono, {Tri Arief}",

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year = "2022",

doi = "10.1109/CENIM56801.2022.10037441",

language = "English",

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Damaringrat, MM, Nuh, M , Fatoni, MH & Sardjono, TA 2022, Blood Leakage Detection System in Hemodialysis Machine Filtration Process. in Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022, Institute of Electrical and Electronics Engineers Inc., pp. 139-143, 2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022, Surabaya, Indonesia, 22/11/22. https://doi.org/10.1109/CENIM56801.2022.10037441

Blood Leakage Detection System in Hemodialysis Machine Filtration Process. / Damaringrat, Mohammad Maulana; Nuh, Mohammad ; Fatoni, Muhammad Hilman et al.
Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 139-143 (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Blood Leakage Detection System in Hemodialysis Machine Filtration Process

AU - Damaringrat, Mohammad Maulana

AU - Nuh, Mohammad

AU - Fatoni, Muhammad Hilman

AU - Sardjono, Tri Arief

PY - 2022

Y1 - 2022

N2 - Chronic kidney disease worldwide is currently on the rise and is a serious health problem. One of the important components that must be monitored is the Blood Leak Detector (BLD). In hemodialysis machines, BLD has an important role to protect patients from blood loss and unsterile dialysate infusion due to rupture of the dialyser membrane. In this study, a detection system was designed that aims to detect blood leakage using a turbidity sensor and a TCS3200 color sensor. The detection method in this system uses a fuzzy logic system with RGB input from the TCS3200 color sensor which will be uploaded to the microcontroller and the turbidity sensor will detect the amount of blood that is leaking. After testing, the BLD instrumentation system has 100% succeeded in detecting blood leakage with a minimum blood leakage of 1.5 mL.

AB - Chronic kidney disease worldwide is currently on the rise and is a serious health problem. One of the important components that must be monitored is the Blood Leak Detector (BLD). In hemodialysis machines, BLD has an important role to protect patients from blood loss and unsterile dialysate infusion due to rupture of the dialyser membrane. In this study, a detection system was designed that aims to detect blood leakage using a turbidity sensor and a TCS3200 color sensor. The detection method in this system uses a fuzzy logic system with RGB input from the TCS3200 color sensor which will be uploaded to the microcontroller and the turbidity sensor will detect the amount of blood that is leaking. After testing, the BLD instrumentation system has 100% succeeded in detecting blood leakage with a minimum blood leakage of 1.5 mL.

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KW - Fuzzy Logic System

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KW - Turbidity Sensor and TCS3200 Color Sensor

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DO - 10.1109/CENIM56801.2022.10037441

M3 - Conference contribution

AN - SCOPUS:85149109339

T3 - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022

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BT - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022

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Y2 - 22 November 2022 through 23 November 2022

ER -

Damaringrat MM, Nuh M , Fatoni MH , Sardjono TA. Blood Leakage Detection System in Hemodialysis Machine Filtration Process. In Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 139-143. (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022). doi: 10.1109/CENIM56801.2022.10037441

Blood Leakage Detection System in Hemodialysis Machine Filtration Process

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