Fetal electrocardiography (fECG) is a promising alternative to cardiotocography continuous
fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal …

Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart
activity. The signals produced by the fetal heart carry valuable information about fetal health …

In this paper, a Hierarchical Polynomial (HP) classifier is proposed to automatically classify
M-PSK and M-QAM signals in Additive White Gaussian Noise (AWGN) and slow flat fading …

In this paper, we investigate the use of adaptive neuro-fuzzy inference systems (ANFIS) for
fetal electrocardiogram (FECG) extraction from two ECG signals recorded at the thoracic and …

Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …

Electrocardiogram (ECG) signal is a direct and effective way to find cardiovascular disease
timely, which can intuitively reflect changes of the heart beat and activities of different parts …

The existence of Electrocardiography (ECG) came to light over a century ago, yet the
acquisition and elicitation of non-invasive foetal electrocardiogram (fECG) is still in infancy …

This paper introduces an automated methodology for the extraction of fetal heart rate from
cutaneous potential abdominal electrocardiogram (abdECG) recordings. A three-stage …

This study focuses on the design, implementation and subsequent verification of a new type
of hybrid extraction system for noninvasive fetal electrocardiogram (NI-fECG) processing …

This paper proposes a five-stage based methodology to extract the fetal electrocardiogram
(FECG) from the single channel abdominal ECG using differential evolution (DE) algorithm …