Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81681
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorTseng, KK-
dc.creatorLiu, LL-
dc.creatorWang, C-
dc.creatorYung, KL-
dc.creatorIp, WH-
dc.creatorHsu, CY-
dc.date.accessioned2020-02-10T12:28:36Z-
dc.date.available2020-02-10T12:28:36Z-
dc.identifier.issn2169-3536-
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.spage111662-
dc.identifier.epage111677-
dc.identifier.volume7-
dc.identifier.doi10.1109/ACCESS.2019.2933851-
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.bibliographicCitationIEEE access, 2019, v. 7, p. 111662-111677-
dcterms.isPartOfIEEE access-
dcterms.issued2019-
dc.identifier.isiWOS:000484438400017-
dc.description.validate202002 bcrc-
dc.description.oapublished_final-
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