Robust multistage ECG identification for astronaut spacesuits with iot applications

Kuo Kun Tseng, Linlin Liu, Chao Wang, K. L. Yung, W. H. Ip, Chih Yu Hsu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Today, the Internet of Things (IOT) 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.

Original languageEnglish
Article number2933851
Pages (from-to)111662-111677
Number of pages16
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019

Keywords

  • ECG signal
  • MIT-BIH database
  • Multistage identification algorithm
  • Spacesuit
  • Storing polymorphic average template

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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