Please use this identifier to cite or link to this item: 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
Keywords: ECG signal
Multistage identification algorithm
Storing polymorphic average template
Spacesuit
MIT-BIH database
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE access, 2019, v. 7, p. 111662-111677 How to cite?
Journal: IEEE access 
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.
URI: http://hdl.handle.net/10397/81681
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
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