Title :
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
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;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273146