A tool for time-frequency analysis of heart rate variability

Author

Carvalho, J.L.A. ; Rocha, A.F. ; Junqueira, L.F. ; Neto, Jose Sergio ; Santos, I. ; Nascimento, F.A.O.

Author_Institution

Dept. of Electr. Eng., Brasilia Univ., Brazil

Volume

3

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

2574

Abstract

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.

Keywords

Fourier transforms; cardiology; medical signal processing; neurophysiology; patient monitoring; time-frequency analysis; wavelet transforms; Matlab 6.5; autonomic nervous system; continuous wavelet transform scalogram; heart rate variability; parasympathetic influences; short-time Fourier transform; time-frequency analysis; time-variant autoregressive modeling; Continuous wavelet transforms; Discrete Fourier transforms; Heart rate variability; Nervous system; Rhythm; Signal analysis; Signal sampling; Spectral analysis; Spectrogram; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1280441

Filename

1280441