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We aim to improve the performance of the previously proposed signal decomposition matched filtering (SDMF) method <xref ref-type="bibr" rid="ref26">[26]</xref> for the detection of copy-number variations (CNV) in the human genome. Through simulations, we show that the modified SDMF is robust even at high noise levels and outperforms the original SDMF method, which indirectly...
Scalp encephalograms (EEG) are often contaminated by various types of biological and non-biological noise that affect the performance of source localization, signal decoding and/or event estimation methods. The statistics and structure of EEG noise are usually unknown and time-varying. As these characteristics may vary substantially between subjects, as well as within subjects both in time and space,...
Long-term neurophysiological recordings, such as scalp encephalograms (EEG), have been routinely used in studies that aim to characterize dynamic changes in brain activity associated with normal biological processes, such as sleep, but are also becoming increasingly common for clinical evaluation of patients with neurological disorders, such as epilepsy. Analysis of non-stationary recordings from...
A subspace signal processing approach is proposed for improved scalp EEG-based localization of broad-focus epileptic seizures, and estimation of the directions of source arrivals (DOA). Ictal scalp EEGs from adult and pediatric patients with broad-focus seizures were first decomposed into dominant signal modes, and signal and noise subspaces at each modal frequency, to improve the signal-to-noise...
Detection of precursory, seizure-related activity in electroencephalograms (EEG) is a clinically important and difficult problem in the field of epilepsy. Seizure detection methods often aim to identify specific features and correlations between preictal EEG signals that differentiate them from interictal/nonictal signals. Typically, these methods use information from nonictal EEGs to establish detection...
Allelic DNA aberrations across our genome have been associated with normal human genetic heterogeneity as well as with a number of diseases and disorders. When copy-number variations (CNVs) occur in gene-coding regions, known relationships between genes may help us understand correlations between CNVs. However, a large number of these aberrations occur in non-coding, extragenic regions and their correlations...
We have developed a multiscale approach for the estimation of neuronal network coordination in the epileptic brain, from continuous (long-term) non-invasive electroencephalograms (EEG). The proposed approach specifically assesses the effect of large-scale network behavior on local network coordination, at individual dominant frequencies (modes) of the EEG spectrum. For this purpose a set of conditional...
This paper presents a novel approach for the estimation of frequency-specific EEG scale modulations by the directional anisotropy of the brain, using the Mellin transform [1, 2, 3]. In the case of epileptic sources, the activity recorded by routine scalp EEG includes contributions not only from a seizure's primary propagation path but also from secondary paths and unrelated to the seizure activity...
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