Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter
Surgical procedures involve major risks, as pathogens can enter the body unhindered. To prevent this, most surgical instruments and implants are sterilized. However, ensuring that this process is carried out safely and according to the normative requirements is not a trivial task. This study aims to...
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doaj-0742cac3a3e5492283cb8a65f5150fba2021-01-14T00:00:47ZengMDPI AGSensors1424-82202021-01-012151051010.3390/s21020510Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure CounterLukas Boehler0Mateusz Daniol1Ryszard Sroka2Dominik Osinski3Anton Keller4Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, PL-30-059 Krakow, PolandFaculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, PL-30-059 Krakow, PolandFaculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, PL-30-059 Krakow, PolandDepartment of Electronic Systems, Norwegian University of Science and Technology, NO-7491 Trondheim, NorwayB.Braun Aesculap AG, D-78532 Tuttlingen, GermanySurgical procedures involve major risks, as pathogens can enter the body unhindered. To prevent this, most surgical instruments and implants are sterilized. However, ensuring that this process is carried out safely and according to the normative requirements is not a trivial task. This study aims to develop a sensor system that can automatically detect successful steam sterilization on the basis of the measured temperature profiles. This can be achieved only when the relationship between the temperature on the surface of the tool and the temperature at the measurement point inside the tool is known. To find this relationship, the thermodynamic model of the system has been developed. Simulated results of thermal simulations were compared with the acquired temperature profiles to verify the correctness of the model. Simulated temperature profiles are in accordance with the measured temperature profiles, thus the developed model can be used in the process of further development of the system as well as for the development of algorithms for automated evaluation of the sterilization process. Although the developed sensor system proved that the detection of sterilization cycles can be automated, further studies that address the possibility of optimization of the system in terms of geometrical dimensions, used materials, and processing algorithms will be of significant importance for the potential commercialization of the presented solution.https://www.mdpi.com/1424-8220/21/2/510sterilizationInternet of Thingssensorssimulationinternet of medical things |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lukas Boehler Mateusz Daniol Ryszard Sroka Dominik Osinski Anton Keller |
spellingShingle |
Lukas Boehler Mateusz Daniol Ryszard Sroka Dominik Osinski Anton Keller Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter Sensors sterilization Internet of Things sensors simulation internet of medical things |
author_facet |
Lukas Boehler Mateusz Daniol Ryszard Sroka Dominik Osinski Anton Keller |
author_sort |
Lukas Boehler |
title |
Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter |
title_short |
Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter |
title_full |
Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter |
title_fullStr |
Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter |
title_full_unstemmed |
Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter |
title_sort |
sensors in the autoclave-modelling and implementation of the iot steam sterilization procedure counter |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-01-01 |
description |
Surgical procedures involve major risks, as pathogens can enter the body unhindered. To prevent this, most surgical instruments and implants are sterilized. However, ensuring that this process is carried out safely and according to the normative requirements is not a trivial task. This study aims to develop a sensor system that can automatically detect successful steam sterilization on the basis of the measured temperature profiles. This can be achieved only when the relationship between the temperature on the surface of the tool and the temperature at the measurement point inside the tool is known. To find this relationship, the thermodynamic model of the system has been developed. Simulated results of thermal simulations were compared with the acquired temperature profiles to verify the correctness of the model. Simulated temperature profiles are in accordance with the measured temperature profiles, thus the developed model can be used in the process of further development of the system as well as for the development of algorithms for automated evaluation of the sterilization process. Although the developed sensor system proved that the detection of sterilization cycles can be automated, further studies that address the possibility of optimization of the system in terms of geometrical dimensions, used materials, and processing algorithms will be of significant importance for the potential commercialization of the presented solution. |
topic |
sterilization Internet of Things sensors simulation internet of medical things |
url |
https://www.mdpi.com/1424-8220/21/2/510 |
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