Autoregressive and eigenfrequency spectral analysis of magnetoenterographic signals

Author

Bradshaw, L.A. ; Wikswo, J.P., Jr.

Author_Institution

Dept. of Phys. & Astron., Vanderbilt Univ., Nashville, TN, USA

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

871

Abstract

To achieve adequate frequency resolution, conventional Fourier transform methods for frequency analysis of the magnetic signals associated with the basic electrical control activity of smooth muscle average data over unacceptably long time intervals. The authors explore the application of spectral analysis and temporal localization by means of parametric modeling and by analysis of eigenvalues of the autocorrelation matrix to magnetoenterographic (MENG) signals from smooth muscle of rabbit small intestine

Keywords

biomagnetism; medical signal processing; physiological models; spectral analysis; autocorrelation matrix; autoregressive analysis; basic electrical control activity; eigenfrequency spectral analysis; magnetoenterographic signals; parametric modeling; rabbit small intestine; smooth muscle; temporal localization; Autocorrelation; Eigenvalues and eigenfunctions; Fourier transforms; Frequency; Magnetic analysis; Muscles; Parametric statistics; Signal analysis; Signal resolution; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579246

Filename

579246