Respiratory-phase Domain Analysis of Heart Rate Variability Can Accurately Estimate Cardiac Vagal Activity during a Mental Arithmetic Task

K. Kotani; M. Tachibana; K. Takamasu

doi:10.1160/ME0352

Methods of Information in Medicine, Inhaltsverzeichnis

Methods Inf Med 2007; 46(03): 376-385
DOI: 10.1160/ME0352

paper

Schattauer GmbH

Respiratory-phase Domain Analysis of Heart Rate Variability Can Accurately Estimate Cardiac Vagal Activity during a Mental Arithmetic Task

K. Kotani

¹Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

,

M. Tachibana

²Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

,

K. Takamasu

²Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

› Institutsangaben

Abstract

Summary

Objectives: The objectives of this paper were to present a method to extract the amplitude of RSA in the respiratory-phase domain, to compare that with subjective or objective indices of the MWL (mental workload), and to compare that with a conventional frequencyanalysis in terms of its accuracy during a mental arithmetic task.

Methods: HRV (heart rate variability), ILV (instantaneous lung volume), and motion of the throat were measured under a mental arithmetic experiment and subjective and objective indices were also obtained. The amplitude of RSA was extracted in the respiratory-phase domain, and its correlation with the load level was compared with the results of the frequencydomain analysis, which is the standard analysis of the HRV.

Results: The subjective and objective indices decreased as the load level increased, showing that the experimental protocol was appropriate. Then, the amplitude of RSA in the respiratory-phase domain also decreased with the increase in the load level. The results of the correlation analysis showed that the respiratory-phase domain analysis has higher negative correlations, −0.84 and −0.82, with the load level as determined bysimplecorrelation and rankcorrelation, respectively, than does frequencyanalysis, for which the correlations were found to be −0.54 and −0.63, respectively. In addition, it was demonstrated thatthe proposed method could be applied to the short-term extraction of RSA amplitude.

Conclusions: We proposed a simple and effective method to extract the amplitude of the respiratory sinus arrhythmia (RSA) in the respiratory-phase domain and the results show that this method can estimate cardiac vagal activity more accurately than frequency analysis.

Keywords

Heart rate variability - Hilbert transform - respiratory phase - respiratory sinus arrhythmia

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