Publication: Comparison of heart rate variability measures for mental stress detection
4
Issued Date
2011-12-01
Resource Type
ISSN
2325887X
23258861
23258861
Other identifier(s)
2-s2.0-84859989883
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Computing in Cardiology. Vol.38, (2011), 85-88
Suggested Citation
Sansanee Boonnithi, Sukanya Phongsuphap Comparison of heart rate variability measures for mental stress detection. Computing in Cardiology. Vol.38, (2011), 85-88. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/11750
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Comparison of heart rate variability measures for mental stress detection
Author(s)
Other Contributor(s)
Abstract
Mental stress is one of the well known major risk factors for many diseases such as hypertension, coronary artery disease, heart attack, etc. Conventionally, detecting mental stress in an individual is performed by interviews and/or questionnaires. In this study, we have investigated various heart rate variability (HRV) measures for detecting mental stress by using ultra short term HRV analysis. A number of HRV measures were investigated, e.g, Mean of heart rates (mHR), Mean of RR intervals (mRR), Power spectra in Very Low (VLF), Low (LF), and High (HF) frequency ranges, Symphatovagal balance index (SVI), etc. Experiments involved 60 segments of RR interval time series signals during mental stress state and normal state. Results revealed that the following HRV measures: mRR, mHR, normalized LF, difference between normalized LF and normalized HF, and SVI were effective measures for mental stress state and normal state classification. © 2011 CCAL.