Signal processing of systolic arterial blood pressure and heart rate variability in conscious rats

Author

Tang, X. ; Reisman, S. ; Guo, W. ; Soldan, S.A.

Author_Institution

Dept. of Veterans Affairs, New Jersey Inst. of Technol., Newark, NJ, USA

fYear

1997

fDate

21-22 May 1997

Firstpage

31

Lastpage

32

Abstract

A signal processing algorithm to derive spectra of systolic blood pressure (SBP) and heart rate variability (HRV) in conscious rats is reported. In this algorithm, the carotid arterial blood pressure is acquired and the rhythmic fluctuations in SBP and HRV are analyzed with a spectral technique based on the fast Fourier transform. Three major components were examined in the spectra of both SBP and HRV, a high frequency component (HF) synchronized by respiration, a low-frequency component (LF) at a frequency of ~0.5 Hz and a very low-frequency component (VLF) at frequencies below 0.5 Hz

Keywords

biological techniques; biology computing; cardiology; electrocardiography; fast Fourier transforms; haemodynamics; medical signal processing; pneumodynamics; spectral analysis; 0.5 Hz; carotid arterial blood pressure; conscious rats; fast Fourier transform; heart rate variability; high frequency component; low-frequency component; respiration; rhythmic fluctuations; signal processing algorithm; spectral technique; systolic arterial blood pressure; very low-frequency component; Algorithm design and analysis; Arterial blood pressure; Blood pressure; Fluctuations; Frequency; Heart rate variability; Rats; Signal processing; Signal processing algorithms; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1997., Proceedings of the IEEE 1997 23rd Northeast

Conference_Location

Durham, NH

Print_ISBN

0-7803-3848-0

Type

conf

DOI

10.1109/NEBC.1997.594943

Filename

594943