Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection

In light of the ongoing challenges posed by COVID-19 and the need for rapid diagnostic tools, we migrated our electrochemical potentiostat-based diagnostic tool from a desktop application to an iOS platform that is more portable and accessible. Our primary goal was to improve portability, enhance th...

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Published in:ICSIMA 2023 - 9th IEEE International Conference on Smart Instrumentation, Measurement and Applications
Main Author: Yamanaka K.; Rahim R.A.; Gunawan T.S.; Zain Z.M.; Nordin A.N.; Nur L.O.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183472312&doi=10.1109%2fICSIMA59853.2023.10373427&partnerID=40&md5=51dd1bbfbee0aec308b77bb3b017b1b2
id 2-s2.0-85183472312
spelling 2-s2.0-85183472312
Yamanaka K.; Rahim R.A.; Gunawan T.S.; Zain Z.M.; Nordin A.N.; Nur L.O.
Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
2023
ICSIMA 2023 - 9th IEEE International Conference on Smart Instrumentation, Measurement and Applications


10.1109/ICSIMA59853.2023.10373427
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183472312&doi=10.1109%2fICSIMA59853.2023.10373427&partnerID=40&md5=51dd1bbfbee0aec308b77bb3b017b1b2
In light of the ongoing challenges posed by COVID-19 and the need for rapid diagnostic tools, we migrated our electrochemical potentiostat-based diagnostic tool from a desktop application to an iOS platform that is more portable and accessible. Our primary goal was to improve portability, enhance the user experience, and expand accessibility. Figma was used to create the app's design blueprint, allowing for an intuitive and user-friendly interface. Integrated user feedback guided subsequent design refinements. The development then took place using MethodSCRIPT and Swift, explicitly tailored for MacBook OS and iPhone devices. The application's seamless integration with PalmSens-supported NACOTS devices guarantees accurate and real-time data acquisition. Essential functions include setting operator names and sample IDs, initiating scans of NACOTS devices, and reading samples using Differential Pulse Voltammetry (DPV), which provides rapid diagnostic results. Moreover, graphical representations of DPV signals and the ability to share results increase the application's utility. Early evaluations demonstrate the app's usability with minimal training, complemented by its insightful screenshots. With this iOS application, we contribute to global efforts to democratize rapid diagnostic solutions, which are essential in regions with limited diagnostic facilities. This initiative addresses the current COVID-19 scenario and lays the groundwork for addressing future health crises. © 2023 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
All Open Access; Green Open Access
author Yamanaka K.; Rahim R.A.; Gunawan T.S.; Zain Z.M.; Nordin A.N.; Nur L.O.
spellingShingle Yamanaka K.; Rahim R.A.; Gunawan T.S.; Zain Z.M.; Nordin A.N.; Nur L.O.
Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
author_facet Yamanaka K.; Rahim R.A.; Gunawan T.S.; Zain Z.M.; Nordin A.N.; Nur L.O.
author_sort Yamanaka K.; Rahim R.A.; Gunawan T.S.; Zain Z.M.; Nordin A.N.; Nur L.O.
title Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
title_short Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
title_full Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
title_fullStr Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
title_full_unstemmed Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
title_sort Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection
publishDate 2023
container_title ICSIMA 2023 - 9th IEEE International Conference on Smart Instrumentation, Measurement and Applications
container_volume
container_issue
doi_str_mv 10.1109/ICSIMA59853.2023.10373427
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183472312&doi=10.1109%2fICSIMA59853.2023.10373427&partnerID=40&md5=51dd1bbfbee0aec308b77bb3b017b1b2
description In light of the ongoing challenges posed by COVID-19 and the need for rapid diagnostic tools, we migrated our electrochemical potentiostat-based diagnostic tool from a desktop application to an iOS platform that is more portable and accessible. Our primary goal was to improve portability, enhance the user experience, and expand accessibility. Figma was used to create the app's design blueprint, allowing for an intuitive and user-friendly interface. Integrated user feedback guided subsequent design refinements. The development then took place using MethodSCRIPT and Swift, explicitly tailored for MacBook OS and iPhone devices. The application's seamless integration with PalmSens-supported NACOTS devices guarantees accurate and real-time data acquisition. Essential functions include setting operator names and sample IDs, initiating scans of NACOTS devices, and reading samples using Differential Pulse Voltammetry (DPV), which provides rapid diagnostic results. Moreover, graphical representations of DPV signals and the ability to share results increase the application's utility. Early evaluations demonstrate the app's usability with minimal training, complemented by its insightful screenshots. With this iOS application, we contribute to global efforts to democratize rapid diagnostic solutions, which are essential in regions with limited diagnostic facilities. This initiative addresses the current COVID-19 scenario and lays the groundwork for addressing future health crises. © 2023 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype All Open Access; Green Open Access
record_format scopus
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