Fetal ECG extraction has an important role in the medical diagnosis during pregnancy. This problem can be modeled from the approach of blind source extraction. The mathematical modeling of fetal ECG extraction using ICA algorithm is described in this paper. It also proposes an efficient BSS method (FCOMBI) for the extraction of fetal ECG. This algorithm combines the strengths of non-Gaussianity...

Genome-wide landscapes of transcription factor (TF) binding sites (BSs) diverge during evolution, conferring species-specific transcriptional patterns. The rate of divergence varies in different metazoan lineages but has not been widely studied in plants. We identified the BSs and assessed the effects on transcription of FLOWERING LOCUS C (FLC) and PERPETUAL FLOWERING 1 (PEP1), two orthologous ...

Objectives: We investigated the prognostic accuracy of a standardized quantification of incomplete revascularization after percutaneous coronary intervention (PCI) of the unprotected left main coronary artery (ULMCA) named residual SYNTAX score (rSS). Background: Prognostic implications of coronary lesions left untreated after ULMCA PCI are confounded by the lack of a uniform definition of inco...

BACKGROUND The social valorisation of overweight in African populations could promote high-risk eating behaviours and therefore become a risk factor of obesity. However, existing scales to assess body image are usually not accurate enough to allow comparative studies of body weight perception in different African populations. This study aimed to develop and validate the Body Size Scale (BSS) to...

The Herault-Jutten (HJ) algorithm is a neuromimetic structure capable to perform blind source separation (BSS) of a linear mixture from an array of sensors without knowing the transmission characteristics of the channels, nor the inputs. The learning algorithm developed by Herault and Jutten is based on the generalized Hebb’s rule in such a way that each output signal will be proportional to on...

The blind source separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical independence between outputs. Since global maximization may be difficult without exhaustive search, criteria for which all the local maxima correspond to an acceptable solution of the BSS problem are of interest. It is known that some BSS criteria used in a deflation procedure ...

Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on second-order statistics, when dealing with signals that are localized in the time-frequency (t-f) domain. In this paper, we propose the use of STFD matrices for both whitening and recovery of the mixing matrix, which are two stages commo...

In this paper, we consider a novel cache-enabled heterogeneous network (HetNet), where macro base stations (BSs) with traditional sub-6 GHz are overlaid by dense millimeter wave (mmWave) pico BSs. These two-tier BSs, which are modeled as two independent homogeneous Poisson Point Processes, cache multimedia contents following the popularity rank. High-capacity backhauls are utilized between macr...

We consider the coordinated downlink beamforming problem in a cellular network with the base stations (BSs) equipped with multiple antennas, and with each user equipped with a single antenna. The BSs cooperate in sharing their local interference information, and they aim at maximizing the sum rate of the users in the network. A set of new lower bounds (one bound for each BS) of the non-convex s...