Heart rate variability characterization:: Time-frequency representation and nonlinear analysis

被引：1
|
作者：
Vallverdú, M [1 ]
Clariá, F [1 ]
Carvajal, R [1 ]
Martínez, P [1 ]
Alonso, JL [1 ]
Zareba, W [1 ]
Viñolas, X [1 ]
de Luna, AB [1 ]
Caminal, P [1 ]
机构：
[1] UPC, Dep ESAII, Ctr Recerca Engn Biomed, Barcelona 08028, Spain
来源：
COMPUTERS IN CARDIOLOGY 1999, VOL 26 | 1999年 / 26卷
关键词：
D O I：
10.1109/CIC.1999.825955
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Time-frequency representation (TFR) and complexity measures based on correlation dimension are applied to the characterization of the Heart Rate Variability (HRV). For this study 117 subjects are analyzed from the IDEAL database: 53 patients with idiopathic dilated cardiomyopathy (IDC); 64 normal subjects (NRM). IDC patients are classified by means of their ejection fraction. The RR series al-e analyzed during night period. Choi-Williams distribution is used for the TFR analysis and three spectral bands are selected: Low frequency band (0-0.07 Hz), mid frequency band (0.07-0.15), and high frequency band (0.15-0.45 Hz). The Correlation Dimension CD index is calculated determining its optimal parameters, time delay and embedding dimension. A new Dck index is introduced. A statistical analysis of the results using one-way analysis of variance (ANOVA) is applied.
引用
收藏
页码：257 / 260
页数：4
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