New method to heart instantaneous frequency estimation

Author

Santos, Márcio ; Fonseca, João Viana ; Barros, Allan Kardec

Author_Institution

Departamento de Engenharia de Eletricidade, Universidade Federal do Maranhao

fYear

2004

fDate

Sept. 29 2004-Oct. 1 2004

Firstpage

473

Lastpage

480

Abstract

In this work, we propose a method for estimating the heart instantaneous frequency, which is a manner to estimate the heart rate variability, in an on-line fashion. We develop a driver function, which estimates the fundamental frequency of an ECG, based on a new autoregressive method called exponential autoregressive method. We also find new wavelet parameters to optimize the time-frequency resolution, allowing a more precise filtering of the electrocardiographic (ECG) signal. Simulations and real experiments show the efficiency of the proposed algorithm

Keywords

autoregressive processes; electrocardiography; filtering theory; frequency estimation; medical signal processing; optimisation; signal resolution; time-frequency analysis; wavelet transforms; driver function; electrocardiographic signal; exponential autoregressive method; heart instantaneous frequency estimation; optimization; signal filtering; time-frequency resolution; wavelet parameter; Band pass filters; Delay; Electrocardiography; Electronic mail; Filtering; Frequency estimation; Gabor filters; Heart rate variability; Signal resolution; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning for Signal Processing, 2004. Proceedings of the 2004 14th IEEE Signal Processing Society Workshop

Conference_Location

Sao Luis

ISSN

1551-2541

Print_ISBN

0-7803-8608-4

Type

conf

DOI

10.1109/MLSP.2004.1423008

Filename

1423008