Synthetic database for testing algorithms of fetal ECG extraction from abdominal ECG
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Abstract
The fetal electrocardiogram can be obtained from
abdominal electrocardiogram using standard digital signal
processing. The algorithms designed for this purpose cannot be
evaluated by performance index, since the fetal
electrocardiogram is not known a priori. In this paper we review
the different models to generate synthetic or semi-synthetic
databases, and the performance index to evaluate algorithms. We
describe the development of a semi-synthetic database to measure
the performance of the jadeR algorithm and PCA algorithm,
before different combinations of signal to interference and signal
to noise, with Gaussian white noise and pink noise. It is found
that both algorithms are susceptible to noise, especially Gaussian
white noise. The PCA algorithm has a better performance in
cases of low noise and high maternal interference.
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Atribución-NoComercial-CompartirIgual 2.5 Colombia