Application of linear and nonlinear characteristics of heart rate variability in assessment of autonomic nervous system activity.
- Author:
Ping SHI
;
Hongliu YU
- Publication Type:Journal Article
- MeSH:
Autonomic Nervous System;
physiology;
Heart Rate;
Humans;
Linear Models;
Nonlinear Dynamics
- From:
Journal of Biomedical Engineering
2014;31(2):302-307
- CountryChina
- Language:Chinese
-
Abstract:
Calculation of linear parameters, such as time-domain and frequency-domain analysis of heart rate variability (HRV), is a conventional method for assessment of autonomic nervous system activity. Nonlinear phenomena are certainly involved in the genesis of HRV. In a seemingly random signal the Poincaré plot can easily demonstrate whether there is an underlying determinism in the signal. Linear and nonlinear analysis methods were applied in the computer words inputting experiments in this study for physiological measurement. This study therefore demonstrated that Poincaré plot was a simple but powerful graphical tool to describe the dynamics of a system.
