Adaptive rule based fetal QRS complex detection using hilbert transform

Author

Ulusar, Umit D. ; Govindan, R.B. ; Wilson, James D. ; Lowery, Curtis L. ; Preissl, Hubert ; Eswaran, Hari

Author_Institution

Grad. Inst. of Technol., Univ. of Arkansas at Little Rock, Little Rock, AR, USA

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

4666

Lastpage

4669

Abstract

In this paper we introduce an adaptive rule based QRS detection algorithm using the Hilbert transform (adHQRS) for fetal magnetocardiography processing. Hilbert transform is used to combine multiple channel measurements and the adaptive rule based decision process is used to eliminate spurious beats. The algorithm has been tested with a large number of datasets and promising results were obtained.

Keywords

Hilbert transforms; adaptive signal detection; magnetocardiography; medical signal detection; obstetrics; Hilbert transform; adaptive rule based decision process; adaptive rule based fetal QRS complex detection; cardiac signal detection; fetal magnetocardiography processing; heart beat detection; multiple channel measurement; Algorithms; Female; Fetal Heart; Fetal Monitoring; Humans; Magnetocardiography; Pregnancy; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5334180

Filename

5334180