Autoregressive (AR) based power spectral analysis of heart rate time series signal (HRTS signal)

Author

Naidu, V.P.S. ; Reddy, M.R.S.

Author_Institution

Div. of Biomedical Engg., Indian Inst. of Technol., Chennai, India

Volume

4

fYear

2003

fDate

15-17 Oct. 2003

Firstpage

1391

Abstract

Heart rate time series (HRTS) signal has been studied using auto-regressive (AR) based power spectrum. Twenty-five controls and twenty-five MI patients were taken for this study. From HRTS signal, 480 epochs of 32 seconds overlapping by a 31 seconds are extracted. Power spectrum is computed epoch-by-epoch and frequency domain HRTS signal parameters arc derived. These parameters show the discrimination between the controls and MI patients. The statistical results arc shown in the table below. From this study it can be concluded that the analysis of HRTS signal may lead to detection of MI in advance.

Keywords

autoregressive processes; electrocardiography; medical signal processing; patient diagnosis; auto-regressive; fast Fourier transform; heart rate time series signal; myocardial infarction; power spectral analysis; Electrocardiography; Frequency domain analysis; Heart rate; Nervous system; Sampling methods; Signal analysis; Signal processing; Signal resolution; Spectral analysis; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region

Print_ISBN

0-7803-8162-9

Type

conf

DOI

10.1109/TENCON.2003.1273146

Filename

1273146