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2008 International Conference on BioMedical Engineering and Informatics
Use of Heart Rate Variability Analysis for Quantitatively Assessing Operator's Mental Workload
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
x 
 
Jian-Hua Zhang, Xing-Yu Wang, M. Mahfouf, D.A. Linkens, "Use of Heart Rate Variability Analysis for Quantitatively Assessing Operator's Mental Workload," BioMedical Engineering and Informatics, International Conference on, vol. 1, pp. 668-672, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.180,
author = {Jian-Hua Zhang and Xing-Yu Wang and M. Mahfouf and D.A. Linkens},
title = {Use of Heart Rate Variability Analysis for Quantitatively Assessing Operator's Mental Workload},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {1},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {668-672},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.180},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Use of Heart Rate Variability Analysis for Quantitatively Assessing Operator's Mental Workload
SN - 978-0-7695-3118-2
SP668
EP672
A1 - Jian-Hua Zhang,
A1 - Xing-Yu Wang,
A1 - M. Mahfouf,
A1 - D.A. Linkens,
PY - 2008
KW - null
VL - 1
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
In this paper, the autoregressive modeling based spectral analysis method is described and its application to spectral analysis of heart rate variability (HRV) signal is evaluated. The assessment of heart rate (HR) spectra aimed at providing meaningful measure of mental workload is also discussed. This work may provide insight into the effect of mental workload on the HRV spectral characteristics.
Citation:
Jian-Hua Zhang, Xing-Yu Wang, M. Mahfouf, D.A. Linkens, "Use of Heart Rate Variability Analysis for Quantitatively Assessing Operator's Mental Workload," bmei, vol. 1, pp.668-672, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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