Use of Heart Rate Variability Analysis for Quantitatively Assessing Operator´s Mental Workload

Author

Zhang, Jian-Hua ; Wang, Xing-Yu ; Mahfouf, M. ; Linkens, D.A.

Author_Institution

Dept. of Autom., East China Univ. of Sci. & Technol., Shanghai

Volume

1

fYear

2008

fDate

27-30 May 2008

Firstpage

668

Lastpage

672

Abstract

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.

Keywords

autoregressive processes; cardiology; electroencephalography; frequency-domain analysis; medical signal processing; psychology; spectral analysis; autoregressive modeling algorithm; electroencephalography; frequency-domain analysis; heart rate variability analysis; mental workload; power spectral analysis; psychophysiological interpretations; spectral analysis method; Automatic control; Automation; Frequency conversion; Heart rate; Heart rate variability; Management training; Mathematical model; Process control; Psychology; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on

Conference_Location

Sanya

Print_ISBN

978-0-7695-3118-2

Type

conf

DOI

10.1109/BMEI.2008.180

Filename

4548754