A tool for time-frequency analysis of heart rate variability

被引：19
|
作者：
Carvalho, JLA [1 ]
Rocha, AF [1 ]
Junqueira, LF [1 ]
Neto, JS [1 ]
Santos, I [1 ]
Nascimento, FAO [1 ]
机构：
[1] Univ Brasilia, Dept Elect Engn, Brasilia, DF, Brazil
来源：
PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH | 2003年 / 25卷
关键词：
AR model; auto-regressive spectrogram; CWT; heart period; HRV; RR; STFT; time-frequency analysis;
D O I：
10.1109/IEMBS.2003.1280441
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
The analysis of heart rate variability (HRV) signals is an important tool for studying the autonomic nervous system, as it allows the evaluation of the balance between the sympathetic and parasympathetic influences on heart rhythm. Time-frequency analysis of HRV makes it easier to evaluate how this balance varies with time. This work presents a tool for time-frequency analysis of heart rate variability (HRV) developed in Matlab 6.5 Three techniques are available: Short-Time Fourier Transform, Continuous Wavelet Transform Scalogram and Time-Variant Auto-Regressive Modeling.
引用
收藏
页码：2574 / 2577
页数：4
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