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@article{150951,
        author = {Dr.k.HelenPrabha and Preethi M and Pancheti Jyostna and Mogili Hymavathi Mohana},
        title = {Fetal ECG Extraction From Noisy Environment},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {11},
        pages = {343-346},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150951},
        abstract = {The extraction of this fetal electrocargram (FECG) signal from non-invasive ECG recordings to obtain the fetal heart rate and to eliminate noise from it remains a big challenge. Non-invasive fetal electrocardiogram is emerging as a low cost and high-accuracy technology for fetal cardiac monitoring. The fetal ECG records the electrical movement of the heart. The signal contains precise information that can help doctors during pregnancy and labour. Fetal means the baby that will be in the mother womb during the pregnancy. The proposed system for ectracting the signal, processing it and detecting heart rate of it was implemented in Matlab. The extracted FECG signal is a noise free signal. The present approach is based on the using of Fast ICA algorithm for FECG extraction. In order to improve FECG extraction performance, it was applied here with a Fast Fourier Transform (FFT) ,Inverse Fast Fouridioer Transform(IFFT) algorithm. The peaks of T/QRS ratio and QT interval could be estimated from FECG post-processed signals of two patients and the heart rate of the baby can be calculated based on the results.},
        keywords = {},
        month = {},
        }