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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
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
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
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