Classification of acute stress using linear and non-linear heart rate variability analysis derived from sternal ECG

George Tanev, Dorthe Bodholt Saadi, Karsten Hoppe, Helge Bjarup Dissing Sørensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Chronic stress detection is an important factor in predicting and reducing the risk of cardiovascular disease. This work is a pilot study with a focus on developing a method for detecting short-term psychophysiological changes through heart rate variability (HRV) features. The purpose of this pilot study is to establish and to gain insight on a set of features that could be used to detect psychophysiological changes that occur during chronic stress. This study elicited four different types of arousal by images, sounds, mental tasks and rest, and classified them using linear and non-linear HRV features from electrocardiograms (ECG) acquired by the wireless wearable ePatch® recorder. The highest recognition rates were acquired for the neutral stage (90%), the acute stress stage (80%) and the baseline stage (80%) by sample entropy, detrended fluctuation analysis and normalized high frequency features. Standardizing non-linear HRV features for each subject was found to be an important factor for the improvement of the classification results.
Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
Publication date2014
Pages3386-3389
DOIs
Publication statusPublished - 2014
Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
Duration: 26 Aug 201430 Aug 2014
Conference number: 36
http://embc.embs.org/2014/

Conference

Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number36
CountryUnited States
CityChicago, IL
Period26/08/201430/08/2014
Internet address

Keywords

  • Bioengineering
  • Educational institutions
  • Electrocardiography
  • Entropy
  • Heart rate variability
  • Standards
  • Stress
  • Videos

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