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Research Article | Open Access
Volume 3 | Issue 11 | Year 2016 | Article Id. IJECE-V3I11P111 | DOI : https://doi.org/10.14445/23488549/IJECE-V3I11P111

Fetal ECG Extraction using LMS Filter

S.V.Vinoth and S.Kumarganesh

Citation :

S.V.Vinoth and S.Kumarganesh, "Fetal ECG Extraction using LMS Filter," 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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