Detection of hypovolemia using short-time Fourier transform analysis of S1 heart sounds

Author

Fan, Wensheng ; Brooks, Dana H. ; Mandel, J. ; Calalang, I. ; Philip, J.H.

Author_Institution

Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

fYear

1995

fDate

22-23 May 1995

Firstpage

116

Lastpage

117

Abstract

We present preliminary findings from applying the short-time spectral analysis to intra-operatively recorded heart sound signals. The goal is to detect hypovolemia as revealed by changes in the S1 and S4 heart sound. We present a statistic based on the temporal distribution of energy bursts as a candidate classification feature

Keywords

Fourier transforms; acoustic signal processing; bioacoustics; cardiology; medical signal processing; patient monitoring; pattern classification; spectral analysis; surgery; S1 heart sounds; S4 heart sound; acoustically monitored heart sounds; anesthesia; candidate classification feature; energy bursts; hypovolemia detection; intra-operatively recorded heart sound signals; short-time Fourier transform analysis; short-time spectral analysis; statistic; temporal distribution; Acoustic signal detection; Anesthesia; Discrete Fourier transforms; Fourier transforms; Frequency estimation; Heart; Humans; Signal analysis; Spectral analysis; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1995., Proceedings of the 1995 IEEE 21st Annual Northeast

Conference_Location

Bar Harbor, ME

Print_ISBN

0-7803-2692-X

Type

conf

DOI

10.1109/NEBC.1995.513755

Filename

513755