Title :
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
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;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.180
