TY  - JOUR
T1  - A Multi-Stage Adaptive Singular Value Decomposition Approach for Fetal ECG Signal Extraction in Multichannel Input System for Prenatal Health Monitoring
AU - Selvaraj, Ravindrakumar AU - Kanagaraj, Bommannaraja 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 6
SP  - 1049
EP  - 1055
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1049.1055
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1049.1055
KW  - Singular value decomposition
KW  -affine projection
KW  -QR-decomposition
KW  -fetal ECG
KW  -maternal ECG
KW  -adaptive filtering
KW  -multistage filtering
KW  -wavelet transform
KW  -support vector machines
KW  -neural networks
AB  - A novel methodology for denoising and extraction of Fetal ECG signal is presented. The study is extended for the classification of the fetal ECG. A hybrid multistage adaptive filtering with singular value decomposition technique to remove the noise and to extract the Fetal Electrocardiogram signal from the abdominal signal is proposed. The proposed architecture is a combination of Singular Value Decomposition (SVD) method and Adaptive extraction method using QR-decomposition and affine projection algorithm. This method leads to enhancement of fetal ECG by canceling maternal ECG and noises in the first stage using SVD. The proposed method is applied to simulate and real time ECG signals to demonstrate its superior effectiveness. The Proposed methods are superior in its performance when compared to existing methods like independent component analysis, wavelet transform and others.
ER  -