Advanced maternal ECG removal and noise reduction for application of fetal QRS detection

Author

Lipponen, J.A. ; Tarvainen, Mika P.

Author_Institution

Dept. of Appl. Phys., Univ. of Eastern Finland, Kuopio, Finland

fYear

2013

fDate

22-25 Sept. 2013

Firstpage

161

Lastpage

164

Abstract

The fetal heart rate (fHR) is commonly used as an indirect indicators of fetal condition. Noninvasive fHR monitoring uses electrodes placed on the mother´s abdomen. However it is challenging to detect fetal QRS (fQRS) complexes from the signals measured in this way because of different types of noise and overlapping frequencies between maternal and fetal ECG. In this paper, we introduce an augmented multi-lead principal component regression (PCR) approach for maternal ECG removal and multichannel correlation based fHR detector. Using this method we participated to Computing in Cardiology, PhysioNet Challenge - and final results were for event 4: 28.893 bpm² and event 5: 4.844 ms. The proposed algorithm succeeded to remove maternal ECG from the abdomen signals with high accuracy.

Keywords

biomedical electrodes; electrocardiography; medical signal detection; obstetrics; patient monitoring; principal component analysis; regression analysis; signal denoising; Computing in Cardiology; PCR; PhysioNet Challenge; abdomen signals; advanced maternal ECG removal; augmented multilead principal component regression approach; electrodes; fetal ECG; fetal QRS complex detection; fetal condition indirect indicator; fetal heart rate; mother abdomen; multichannel correlation based fHR detector; noise reduction; noninvasive fHR monitoring; overlapping frequencies; Abstracts; Estimation; Fetal heart rate; Materials;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing in Cardiology Conference (CinC), 2013

Conference_Location

Zaragoza

ISSN

2325-8861

Print_ISBN

978-1-4799-0884-4

Type

conf

Filename

6712436