Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages

With the development of mobile and wearable devices with biosensors, various healthcare services in our life have been recently introduced. A significant issue that arises supports the smart interface among bio-signals developed by different vendors and different languages. Despite its importance fo...

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Main Authors: Moon-Il Joo, Satyabrata Aich, Hee-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/9/8/1016
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spelling doaj-c3425b0eeb2c483189fac8109882d9a92021-08-26T13:47:50ZengMDPI AGHealthcare2227-90322021-08-0191016101610.3390/healthcare9081016Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different LanguagesMoon-Il Joo0Satyabrata Aich1Hee-Cheol Kim2Institute of Digital Anti-Aging Healthcare, Inje University, Gimhae-si 50834, KoreaDepartment of Computer Engineering, Inje University, Gimhae-si 50834, KoreaInstitute of Digital Anti-Aging Healthcare, Inje University, Gimhae-si 50834, KoreaWith the development of mobile and wearable devices with biosensors, various healthcare services in our life have been recently introduced. A significant issue that arises supports the smart interface among bio-signals developed by different vendors and different languages. Despite its importance for convenient and effective development, however, it has been nearly unexplored. This paper focuses on the smart interface format among bio-signal data processing and mining algorithms implemented by different languages. We designed and implemented an advanced software structure where analysis algorithms implemented by different languages and tools would seem to work in one common environment, overcoming different developing language barriers. By presenting our design in this paper, we hope there will be much more chances for higher service-oriented developments utilizing bio-signals in the future.https://www.mdpi.com/2227-9032/9/8/1016data miningbio-signal analysisbio-signal repositoryexecution enginebio-signal monitoring
collection DOAJ
language English
format Article
sources DOAJ
author Moon-Il Joo
Satyabrata Aich
Hee-Cheol Kim
spellingShingle Moon-Il Joo
Satyabrata Aich
Hee-Cheol Kim
Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages
Healthcare
data mining
bio-signal analysis
bio-signal repository
execution engine
bio-signal monitoring
author_facet Moon-Il Joo
Satyabrata Aich
Hee-Cheol Kim
author_sort Moon-Il Joo
title Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages
title_short Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages
title_full Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages
title_fullStr Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages
title_full_unstemmed Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages
title_sort development of a system for storing and executing bio-signal analysis algorithms developed in different languages
publisher MDPI AG
series Healthcare
issn 2227-9032
publishDate 2021-08-01
description With the development of mobile and wearable devices with biosensors, various healthcare services in our life have been recently introduced. A significant issue that arises supports the smart interface among bio-signals developed by different vendors and different languages. Despite its importance for convenient and effective development, however, it has been nearly unexplored. This paper focuses on the smart interface format among bio-signal data processing and mining algorithms implemented by different languages. We designed and implemented an advanced software structure where analysis algorithms implemented by different languages and tools would seem to work in one common environment, overcoming different developing language barriers. By presenting our design in this paper, we hope there will be much more chances for higher service-oriented developments utilizing bio-signals in the future.
topic data mining
bio-signal analysis
bio-signal repository
execution engine
bio-signal monitoring
url https://www.mdpi.com/2227-9032/9/8/1016
work_keys_str_mv AT mooniljoo developmentofasystemforstoringandexecutingbiosignalanalysisalgorithmsdevelopedindifferentlanguages
AT satyabrataaich developmentofasystemforstoringandexecutingbiosignalanalysisalgorithmsdevelopedindifferentlanguages
AT heecheolkim developmentofasystemforstoringandexecutingbiosignalanalysisalgorithmsdevelopedindifferentlanguages
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