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In this paper, we propose a data-driven framework to objectively evaluate the dynamics of brain functional connectivity, during task execution, from electroencephalography (EEG) recordings. The proposed framework consists of two main steps: first, EEG recordings, in the sensor space, are segmented into intervals during which the spatial distribution of functionally connected networks, in the source...
Analysis of electroencephalographic recordings (EEG) often requires the solution of a forward problem, where the scalp potentials created by a known source are determined. Most current solution methods are based on the Geselowitz formulation that solves a boundary integral equation for the potential. We show that the problem can also be reformulated as an integral equation for the accumulated charge...
The P300 speller is a brain-computer interface that enables people with neuromuscular disorders to communicate based on eliciting event-related potentials (ERP) in electroencephalography (EEG) measurements. One challenge to reliable communication is the presence of refractory effects in the P300 ERP that induces temporal dependence in the user's EEG responses. We propose a model for the P300 speller...
This paper presents a novel patient-specific algorithm for prediction of seizures in epileptic patients. Spectral power features, including relative spectral powers and spectral power ratios, and cross correlation coefficients between all pairs of electrodes, are extracted as two independent feature sets. Both feature sets are selected independently in a patient-specific manner by classification and...
Brain-computer interfaces (BCIs) promise to promote a novel access channel for functional independence for individuals with severe speech and physical impairment (SSPI) that can occur as a result of numerous neurological diseases and injuries. Current BCI systems lack the robustness and accuracy to allow individuals with SSPI to complete tasks required for independent living (e.g. communication or...
Biological and biomedical signals, when adequately analyzed and processed, can be used to impart quantitative diagnosis during primary health care consultation to improve patient adherence to recommended treatments. For example, analyzing neural recordings from neurostimulators implanted in patients with neurological disorders can be used by a physician to adjust detrimental stimulation parameters...
Despite the phenomenal advances in the computational power of electronic systems, human-machine interaction has been largely limited to simple control panels, such as keyboards and mice, which only use physical senses. Consequently, these systems either rely critically on close human guidance or operate almost independently. A richer experience can be achieved if cognitive inputs are used in addition...
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