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

Content Provider	IEEE Xplore Digital Library
Author	Tanev, G. Saadi, D.B. Hoppe, K. Sorensen, H.B.D.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark (Tanev, G.; Saadi, D.B.; Sorensen, H.B.D.) \|\| Body Sensors Dept., DELTA, Horsholm, Denmark (Hoppe, K.)
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.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	3386
Ending Page	3389
File Size	817866
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stress Heart rate variability Videos Electrocardiography Entropy Standards Educational institutions
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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