A Lasso quantile periodogram based feature extraction for EEG-based motor imagery.

Background: The extraction of relevant and distinct features from the electroencephalogram (EEG) signals is one of the most challenging task when implementing Brain Computer Interface (BCI) based systems. Frequency analysis techniques are recognised as one of the most suitable methods to have distinct information from EEG signals. However, existing studies use mostly classical approaches assuming that the signal is Gaussian, stationary and linear.

Molecular screening of deafness in Algeria: high genetic heterogeneity involving DFNB1 and the Usher loci, DFNB2/USH1B, DFNB12/USH1D and DFNB23/USH1F.

A systematic approach, involving haplotyping and genotyping, to the molecular diagnosis of non-syndromic deafness within 50 families and 9 sporadic cases from Algeria is described. Mutations at the DFNB1 locus (encompassing the GJB2 and GJB6 genes) are responsible for more than half of autosomal recessive prelingual non-syndromic deafness in various populations. A c.

Frequency of the 35delG allele causing nonsyndromic recessive deafness in the Algerian patients.

Deafness is a heterogeneous disorder showing different patterns of inheritance and involving a multitude of different genes. Mutations in the GJB2 gene encoding connexin 26 (Cx26) protein are a major cause for non-syndromic autosomal recessive and sporadic deafness. Among these mutations, the c.