@article{MAKHILLJEAS2020152119475,
    title = {Fetal Electrocardiogram Separation Based on Single-Channel by Using Wavelet and Non-
Negative Matrix Factorization NMF},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {21},
    pages = {3581-3585},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.3581.3585},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.3581.3585},
    author = {Ziani and},
    keywords = {continuous wavelet,fetal electrocardiogram,Blind source separation,transform CWT,non-negative matrix,factorization},
    abstract = {The present study aims to validate a new
approach for blind source separation of fetal
electrocardiogram signal FECG and maternal
electrocardiogram signal MECG when given only a single
channel recording. Most studies have only focused on
statistical methods which impose several conditions on
the sources and this is not always obvious. The proposed
method by combining continuous wavelet transform CWT
and non-negative matrix factorization NMF, allows the
extraction of the FECG signal with a greater
characterization of the QRS complex. This technique can
be illustrated by means of a real-life example.}
    }