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- W2108709962 abstract "Introduction: The ECG Bayesian filtering framework has been shown to be a promising method to extract the foetal electrocardiogram (FECG) from abdominal recordings. This framework requires an estimation of the ECG morphology, which is obtained by approximating an average beat with a number of Gaussian kernels. This approximation results in a high dimensional nonlinear optimization problem (finding ideal positions, width and height for these kernels)." @default.
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- W2108709962 date "2014-09-07" @default.
- W2108709962 modified "2023-09-26" @default.
- W2108709962 title "Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform" @default.
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