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Fetal ECG Extraction using LMS Filter

International Journal of Electronics and Communication Engineering
© 2016 by SSRG - IJECE Journal
Volume 3 Issue 11
Year of Publication : 2016
Authors : S.V.Vinoth and S.Kumarganesh
10.14445/23488549/IJECE-V3I11P111
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How to Cite?

S.V.Vinoth and S.Kumarganesh, "Fetal ECG Extraction using LMS Filter," SSRG International Journal of Electronics and Communication Engineering, vol. 3,  no. 11, pp. 3-5, 2016. Crossref, https://doi.org/10.14445/23488549/IJECE-V3I11P111

Abstract:

In this project, proposed a new method for fetal ECG extraction based on wavelet analysis, the least mean square(LMS) adaptive filtering algorithm, and the spatially selective noise filtration (SSNF) algorithm. First, abdominal signal sand thoracic signals were processed by stationary wavelet transform (SWT),and the wavelet coefficients a teach scale were obtained. For each scale, the detail coefficients were processed by the LMS algorithm. The coefficient of the abdominal signal was taken as the original input of the LMS adaptive filtering system, and the coefficient of the thoracic signal as the reference input. Then, correlations of the processed wavelet coefficients were computed. The threshold was set and noise components were removed with the SSNF algorithm.

Keywords:

The threshold was set and noise components were removed with the SSNF algorithm.

References:

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