The week's pick
Reseach Article
An Efficient Approach for Fetal ECG Extraction
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 33 |
| Year of Publication: 2018 |
| Authors: Abdullah Mohammed Kaleem, Rajendra D. Kokate |
10.5120/ijca2018918258
|
Abdullah Mohammed Kaleem, Rajendra D. Kokate . An Efficient Approach for Fetal ECG Extraction. International Journal of Computer Applications. 182, 33 ( Dec 2018), 1-5. DOI=10.5120/ijca2018918258
Abstract
Fetal ECG contains precise knowledge that may aid doctor in creating well-suited choices throughout pregnancy and labor. Authentic FECG signal is still extraordinarily complicated and very contaminated by outer disturbances. Hence extraction of clean fetal ECG is extraordinarily crucial for fetal surveillance. This is often accomplished by putting electrodes on mother’s abdomen. Anyway it is tainted with varied sources of noise. This paper compares LMS adaptive filter for FECG extraction with neural network based adaptive filter. Real fetal ECG database was used. Experimental results validated superiority of later scheme in terms of SNR and MSE.
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