Fetal Electrocardiogram Extraction by Sequential Source Separation in the Wavelet Domain

Fetal Electrocardiogram Extraction by Blind Subspace Separation

Fetal Electrocardiogram Extraction by Source Subspace Separation Proceedings Ieee Sp / Athos Workshop on Higher-order Statistics Fetal Electrocardiogram Extraction by Source Subspace Separation

A high-precision method is presented for the extraction of the fetal electrocardiogram from multi-channel potential recordings on the mother's skin. First the problem is appropriately formulated in terms of blind source separation, where the sources can have a multi-dimensional nature. As a summary of preceding work it is shown how the fetal electrocardiogram can be reconstructed by means of se...

Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation

Fetal electrocardiogram (FECG) extraction is a vital issue in biomedical signal processing and analysis. A promising approach is blind (semi-blind) source extraction. In this paper, we develop an objective function for extraction of temporally correlated sources. The objective function is based on the non-Gaussianity and the autocorrelations of source signals, and it contains the well-known mea...

Fetal Electrocardiogram Extraction and Analysis

Ischemia detection by electrocardiogram in wavelet domain using entropy measure

BACKGROUND Ischemic heart disease is one of the common fatal diseases in advanced countries. Because signal perturbation in healthy people is less than signal perturbation in patients, entropy measure can be used as an appropriate feature for ischemia detection. METHODS Four entropy-based methods comprising of using electrocardiogram (ECG) signal directly, wavelet sub-bands of ECG signals, ex...