Research progress of quantitative analysis for respiratory sinus arrhythmia.
- Author:
Congcong SUN
1
;
Zhengbo ZHANG
;
Buqing WANG
;
Hongyun LIU
;
Qing ANG
;
Weidong WANG
Author Information
1. School of Information and Electronics, University of Beijing for Science and Technology, Beijing 100081, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Arrhythmia, Sinus;
physiopathology;
Artifacts;
Calibration;
Electrocardiography;
methods;
Humans;
Respiration;
Signal Processing, Computer-Assisted;
Tidal Volume;
physiology;
Vagus Nerve;
physiology
- From:
Journal of Biomedical Engineering
2011;28(6):1227-1231
- CountryChina
- Language:Chinese
-
Abstract:
Respiratory sinus arrhythmia (RSA) is known as fluctuations of heart rate associated with breathing. It has been increasingly used as a noninvasive index of cardiac vagal tone in psychophysiological research recently. Its analysis is often influenced or distorted by respiratory parameters, posture and action, etc. This paper reviews five methods of quantification, including the root mean square of successive differences (RMSSD), peak valley RSA (pvRSA), cosinor fitting, spectral analysis, and joint timing-frequency analysis (JTFA). Paced breathing, analysis of covariance, residua method and msRSA per liter tidal volume are adjustment strategies of measurement and analysis of RSA in this article as well. At last, some prospects of solutions of the problems of RSA research are given.
