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http://hdl.handle.net/10397/81681
Title: | Robust multistage ECG identification for astronaut spacesuits with IoT applications | Authors: | Tseng, KK Liu, LL Wang, C Yung, KL Ip, WH Hsu, CY |
Issue Date: | 2019 | Source: | IEEE access, 2019, v. 7, p. 111662-111677 | Abstract: | Today, 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. | Keywords: | ECG signal Multistage identification algorithm Storing polymorphic average template Spacesuit MIT-BIH database |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE access | ISSN: | 2169-3536 | DOI: | 10.1109/ACCESS.2019.2933851 | Rights: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0 The 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.2019.2933851 |
Appears in Collections: | Journal/Magazine Article |
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Tseng_Multistage_ECG_Astronaut.pdf | 1.83 MB | Adobe PDF | View/Open |
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