Sleep analysis is usually done inside a sleep laboratory under close supervision of doctors with the help of cardiac rhythm using electro cardiography (ECG), breathing patterns, brain activities using electro encephalography (EEG), eye movement using electrooculography (EOG) and muscle activity during sleep. The data collected through these devices is thus utilized for further analysis and has ...

Electro-encephalography (EEG) is unique among functional brain imaging methods in that it promises a means of providing a cost-e cient, safe, portable and easy to use braincomputer interface (BCI) for both healthy users and the disabled. While an already extensive corpus of EEG-BCI experimental work has demonstrated that, to a degree, a person's mental states can be detected in single-trials us...

This paper presents our work using uniand multi-modal measures to infer and predict context and mental states of a person engaged in interactive information seeking. We describe our use of measures derived from eye-movement patterns in combination with interaction logs to infer dynamic user states (such as cognitive load), user context (such as task characteristics), and persistent user charact...

Accurate geometrical models of the head are necessary for solving the forward and inverse problems of magneto- and electro-encephalography (MEG/EEG). Boundary element methods (BEMs) require a geometrical model describing the interfaces between different tissue types. Classically, head models with a nested volume topology have been used. In this paper, we demonstrate how this constraint can be r...

Creutzfeldt-Jakob Disease (CJD) is a rare rapidly progressive neurodegenerative disease. The diagnosis of CJD based on magnetic resonance imaging (MRI) findings, electro-encephalography (EEG), or 14-3-3 protein detection. We report case previously-healthy 72 years old woman, with evidence coronavirus disease 2019 (COVID-19), who complained behavioral changes and dementia. While hospitalization,...

Classification algorithms help predict the qualitative properties of a subject's mental state by extracting useful information from the highly multivariate non-invasive recordings of his brain activity. In particular, applying them to Magneto-encephalography (MEG) and electro-encephalography (EEG) is a challenging and promising task with prominent practical applications to e.g. Brain Computer I...

Psychophysical and neuroimaging studies suggest that perceptual learning may affect activity in primary visual cortex (V1). Yet, it remains unclear whether such changes involve intrinsic V1 plasticity or feedback from later processing stages. Here we recorded high-density electro-encephalography in 24 volunteers, 24-h after training on a visual texture discrimination task in the upper or lower ...