Concept

Intraoperative neurophysiological monitoring

Publications associées (215)

Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study

In hemiparetic stroke, functional recovery of paretic limb may occur with the reorganization of neural networks in the brain. Neuroimaging techniques, such as magnetic resonance imaging (MRI), have a high spatial resolution which can be used to reveal anat ...

2018

Deep Learning of Human Perception in Audio Event Classification

Samuel Denys Beuret, Yi Yu

In this paper, we introduce our recent studies on human perception in audio event classification. In particular, the pre-trained model VGGish is used as feature extractor to process audio data, and DenseNet is trained by and used as feature extractor for o ...

IEEE2018

Analysing Vibrotactually Stimulated EEG Signals to Comprehend Object Shapes

Anwesha Khasnobish

Tactile feedback has the capability of reducing the workload on the visual channel, during visual feedback in brain-computer interfaces (BCIs). It is requisite to analyse the brain signals corresponding to the tactile stimulations. This work is aimed at an ...

IEEE2018

A Multifaceted Approach to Covert Attention Brain-Computer Interfaces

Christoph Schneider

Over the last years, brain-computer interfaces (BCIs) have shown their value for assistive technology and neurorehabilitation. Recently, a BCI-approach for the rehabilitation of hemispatial neglect has been proposed on the basis of covert visuospatial atte ...

EPFL2018

A Novel Short-term Event Extraction Algorithm for Biomedical Signals

Jean-Marc Vesin, Sasan Yazdani, Sibylle Fallet

In this paper we propose a fast novel non-linear filtering method named Relative-Energy (Rel-En), for robust short-term event extraction from biomedical signals. We developed an algorithm that extracts short- and long-term energies in a signal and provides ...

2018

Visual backward masking in siblings of schizophrenia patients: evidence for a compensation mechanism

Michael Herzog, Maya Roinishvili, Patricia Figueiredo

Visual backward masking (VBM) is a very sensitive endophenotype of schizophrenia. Masking deficits are highly correlated with reduced EEG amplitudes. In VBM, a target stimulus is followed by a mask, which decreases performance on the target. Here, we inves ...

2017

Detecting EEG correlates during preparation of complex driving maneuvers

Lucian Andrei Gheorghe

The main focus of this research is the development of real-time recording and analysis devices and algorithms for detecting Electroencephalography (EEG) correlates of steering actions. First, offline analysis where performed in a high fidelity driving simu ...

EPFL2017

Neural correlates of visual backward masking in psychosis

Michael Herzog, Christine Mohr, Maya Roinishvili, Ophélie Gladys Favrod

In visual backward masking (VBM), a target is followed by a mask, which deteriorates performance on the target. Schizophrenia and first episodes patients show strong behavioral deficits, reflected in strongly reduced amplitudes of the EEG as compared to co ...

2017

An EEG-based brain-computer interface for gait training

José del Rocio Millán Ruiz, Kyuhwa Lee, Dong Liu

This work presents an electroencephalography (EEG)-based Brain-computer Interface (BCI) that decodes cerebral activities to control a lower-limb gait training exoskeleton. Motor imagery (MI) of flexion and extension of both legs was distinguished from the ...

2017

EEG paradigms as a supplemental tool to behavioral assessments of DOC

José del Rocio Millán Ruiz, Andrea Serino, Serafeim Perdikis, Jean-Paul Noel

Introduction Diagnosis and prediction of recovery in the acute phase of disorders of consciousness (DOC) are critical for subsequent medical decisions. However, reliable assessment remains elusive due to the inability of current validated clinical scales t ...

2017

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