Title :
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
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;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
Print_ISBN :
978-1-4799-0884-4
