On the quantification of heart rate variability spectral parameters using time-frequency and time-varying methods

被引:74
|
作者
Mainardi, Luca T. [1 ]
机构
[1] Politecn Milan, Dipartimento Bioingn, I-20133 Milan, Italy
来源
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2009年 / 367卷 / 1887期
关键词
time-varying autoregressive models; time-frequency representations; Wigner-Ville distribution; wavelet transform; low-frequency and high-frequency spectral components; autonomic nervous system; INDUCED MYOCARDIAL-ISCHEMIA; WAVELET TRANSFORM ANALYSIS; CARDIOVASCULAR VARIABILITY; VENTILATORY THRESHOLDS; UP TILT; SLEEP; DECOMPOSITION; SERIES; IDENTIFICATION; DISTRIBUTIONS;
D O I
10.1098/rsta.2008.0188
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the last decades, one of the main challenges in the study of heart rate variability (HRV) signals has been the quanti. cation of the low-frequency (LF) and high-frequency (HF) components of the HRV spectrum during non-stationary events. At this regard, different time frequency and time-varying approaches have been proposed with the aim to track the modi. cation of the HRV spectra during ischaemic attacks, provocative stress testing, sleep or daily-life activities. The quantitative evaluation of power ( and frequencies) of the LF and HF components has been approached in various ways depending on the selected time frequency method. This paper is an excursus through the most common time frequency/time-varying representation of the HRV signal with a special emphasis on the algorithms employed for the reliable quanti. cation of the LF and HF parameters and their tracking.
引用
收藏
页码:255 / 275
页数:21
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