Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81681
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorTseng, KKen_US
dc.creatorLiu, LLen_US
dc.creatorWang, Cen_US
dc.creatorYung, KLen_US
dc.creatorIp, WHen_US
dc.creatorHsu, CYen_US
dc.date.accessioned2020-02-10T12:28:36Z-
dc.date.available2020-02-10T12:28:36Z-
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://hdl.handle.net/10397/81681-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0en_US
dc.rightsThe following publication K. Tseng, L. Liu, C. Wang, K. L. Yung, W. H. Ip and C. Hsu, "Robust Multistage ECG Identification for Astronaut Spacesuits With IoT Applications," in IEEE Access, vol. 7, pp. 111662-111677, 2019 is available at https://dx.doi.org/10.1109/ACCESS.2019.2933851en_US
dc.subjectECG signalen_US
dc.subjectMultistage identification algorithmen_US
dc.subjectStoring polymorphic average templateen_US
dc.subjectSpacesuiten_US
dc.subjectMIT-BIH databaseen_US
dc.titleRobust multistage ECG identification for astronaut spacesuits with IoT applicationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage111662en_US
dc.identifier.epage111677en_US
dc.identifier.volume7en_US
dc.identifier.doi10.1109/ACCESS.2019.2933851en_US
dcterms.abstractToday, the Internet of Things (JOT) concept is gaining much attention and popularity; The related technologies as spacesuits and embedded ECG acquisition device is already existed. However, there are important issues to be resolved when an application is in a space environment. The ECG signal may be measured by different mobile conditions when embedded in spacesuits, requiring a more robust algorithm to remove exercise and noise issues. Thus, we propose a more complete architecture with a new storing polymorphic average template (SPAT) and a multistage identification algorithm (MIA) to improve the robustness of ECG identification in motion. In addition, we select better combinations of de-noising and feature extractions to create a better and more complete architecture. According to our experimental results, our proposed architecture offers better performance than previous adaptive boosting (AdaBoost) methods; thus, it is also suitable for application in astronaut spacesuits.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE access, 2019, v. 7, p. 111662-111677en_US
dcterms.isPartOfIEEE accessen_US
dcterms.issued2019-
dc.identifier.isiWOS:000484438400017-
dc.identifier.scopus2-s2.0-85097419810-
dc.description.validate202002 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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