Wavelet analysis of electrohysterography of women exhibiting clinical signs of high-risk pregnancy

Author

Rossi, J. ; Gondry, J. ; Baaklini, N. ; Naepels, P. ; Marque, C.

Author_Institution

Compiegne Univ., France

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1059

Abstract

A survey of uterine activity of seventy-four pregnant woman to date has revealed encouraging results regarding the feasibility of early screening for premature child birth by EHG monitoring. Wavelet theory has shown merits when confronted with the problem of temporal extraction of cellular discharge frequency patterns in relation to muscle tonus. A hybrid algorithm for noise reduction based on wavelet decomposition is proposed

Keywords

electromyography; medical signal processing; muscle; patient diagnosis; patient monitoring; wavelet transforms; cellular discharge frequency patterns; clinical signs; early screening; electrohysterography; high-risk pregnancy; hybrid algorithm; muscle tonus; noise reduction; premature child birth; temporal extraction; uterine activity; wavelet analysis; wavelet decomposition; wavelet theory; women; Biomedical electrodes; Epidermis; Frequency; Muscles; Noise reduction; Pregnancy; Signal analysis; Signal to noise ratio; Wavelet analysis; Wavelet transforms;

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.1995.579480

Filename

579480