Arduino-based devices in healthcare and environmental monitoring
Abstract Rapid increases in diseases and pandemics over the past years have led to the development of more affordable and accessible biosensing equipment, especially in underdeveloped regions. One of the open-source hardware that has the potential to develop advanced health equipment is the Arduino...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer
2025-04-01
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| Series: | Discover Internet of Things |
| Online Access: | https://doi.org/10.1007/s43926-025-00139-z |
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| _version_ | 1850139404929073152 |
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| author | Nkgaphe T. Tsebesebe Kelvin Mpofu Sudesh Sivarasu Patience Mthunzi-Kufa |
| author_facet | Nkgaphe T. Tsebesebe Kelvin Mpofu Sudesh Sivarasu Patience Mthunzi-Kufa |
| author_sort | Nkgaphe T. Tsebesebe |
| collection | DOAJ |
| description | Abstract Rapid increases in diseases and pandemics over the past years have led to the development of more affordable and accessible biosensing equipment, especially in underdeveloped regions. One of the open-source hardware that has the potential to develop advanced health equipment is the Arduino platform. This review emphasizes the importance of open-source technology, specifically the Atmel family of microcontrollers used in the Arduino development board, and the applications of the Arduino platform in biosensing technologies to advance PoC devices. Furthermore, the review highlights the use of machine learning algorithms to enhance the functionality of user-defined prototypes, aiming to realize PoC devices. It also addresses the successes and limitations of microcontrollers and machine learning in the development of PoC devices using open-source technology. The primary purpose of this paper is to investigate how the Arduino platform can be leveraged to create effective and affordable biosensing solutions, by examining the integration of Arduino with various types of biosensors. The review showcases the potential of Arduino to democratize and innovate biosensor technology. Lastly, this paper extends the investigation of applications of Arduino to general health care and environmental monitoring. |
| format | Article |
| id | doaj-art-b4c3c3e4d1534973a41c60a1ef2bcee1 |
| institution | OA Journals |
| issn | 2730-7239 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Internet of Things |
| spelling | doaj-art-b4c3c3e4d1534973a41c60a1ef2bcee12025-08-20T02:30:18ZengSpringerDiscover Internet of Things2730-72392025-04-015113110.1007/s43926-025-00139-zArduino-based devices in healthcare and environmental monitoringNkgaphe T. Tsebesebe0Kelvin Mpofu1Sudesh Sivarasu2Patience Mthunzi-Kufa3Biophotonics, Council for Scientific and Industrial Research, National Laser CentreBiophotonics, Council for Scientific and Industrial Research, National Laser CentreDivision of Biomedical Engineering, Department of Human Biology, University of Cape TownBiophotonics, Council for Scientific and Industrial Research, National Laser CentreAbstract Rapid increases in diseases and pandemics over the past years have led to the development of more affordable and accessible biosensing equipment, especially in underdeveloped regions. One of the open-source hardware that has the potential to develop advanced health equipment is the Arduino platform. This review emphasizes the importance of open-source technology, specifically the Atmel family of microcontrollers used in the Arduino development board, and the applications of the Arduino platform in biosensing technologies to advance PoC devices. Furthermore, the review highlights the use of machine learning algorithms to enhance the functionality of user-defined prototypes, aiming to realize PoC devices. It also addresses the successes and limitations of microcontrollers and machine learning in the development of PoC devices using open-source technology. The primary purpose of this paper is to investigate how the Arduino platform can be leveraged to create effective and affordable biosensing solutions, by examining the integration of Arduino with various types of biosensors. The review showcases the potential of Arduino to democratize and innovate biosensor technology. Lastly, this paper extends the investigation of applications of Arduino to general health care and environmental monitoring.https://doi.org/10.1007/s43926-025-00139-z |
| spellingShingle | Nkgaphe T. Tsebesebe Kelvin Mpofu Sudesh Sivarasu Patience Mthunzi-Kufa Arduino-based devices in healthcare and environmental monitoring Discover Internet of Things |
| title | Arduino-based devices in healthcare and environmental monitoring |
| title_full | Arduino-based devices in healthcare and environmental monitoring |
| title_fullStr | Arduino-based devices in healthcare and environmental monitoring |
| title_full_unstemmed | Arduino-based devices in healthcare and environmental monitoring |
| title_short | Arduino-based devices in healthcare and environmental monitoring |
| title_sort | arduino based devices in healthcare and environmental monitoring |
| url | https://doi.org/10.1007/s43926-025-00139-z |
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