Complex networks in brain electrical activity
, 2005 We analyze the complex networks associated with brain electrical activity. Multichannel EEG measurements are first processed to obtain 3D voxel activations using the tomographic algorithm LORETA.
Fuentemilla, L. +4 more
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A Hidden Markov Factor Analysis Framework for Seizure Detection in Epilepsy Patients [PDF]
, 2019 Approximately 1% of the world population suffers from epilepsy. Continuous long-term electroencephalographic (EEG) monitoring is the gold-standard for recording epileptic seizures and assisting in the diagnosis and treatment of patients with epilepsy ...
Madadi, Mahboubeh
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Automatic Diagnosis of Epileptic Seizure in Electroencephalography Signals Using Nonlinear Dynamics Features [PDF]
, 2019 Shanen Chen +3 more
openalex +1 more source
An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach
, 2018 Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach. Manual inspection of EEG brain signals is a time-consuming and laborious process, which puts heavy burden on neurologists and affects ...
Aboalsamh, Hatim +3 more
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Generating time series reference models based on event analysis [PDF]
, 2010 Creating a reference model that represents a given set of time series is a relevant problem as it can be applied to a wide range of tasks like diagnosis, decision support, fraud detection, etc. In some domains, like seismography or medicine, the relevant
Caraça-Valente Hernández, Juan Pedro +2 more
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Electroencephalography: electrode arrays in dogs
Frontiers in Veterinary ScienceElectroencephalography (EEG) is the gold standard for confirming epileptic seizures in both human and veterinary patients. Despite idiopathic epilepsy being one of the most common neurological conditions in dogs, our understanding of it in veterinary ...
Stephen Everest +5 more
doaj +1 more source
Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory
, 1999 This paper focuses on how bottom-up neocortical models can be developed into eigenfunction expansions of probability distributions appropriate to describe short-term memory in the context of scalp EEG. The mathematics of eigenfunctions are similar to the
Ingber, Lester
core
The influence of distraction on speech processing: How selective is selective attention?
, 2019 -* indicates shared first authorship - The present study investigated the effects of selective attention on the processing of morphosyntactic errors in unattended parts of speech.
Ebersberg*, M. +6 more
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Fast and Slow Rhythms of Naturalistic Reading Revealed by Combined Eye-Tracking and Electroencephalography [PDF]
, 2023 Lena Henke, Ashley Lewis, Lars Meyer
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A Wireless Future: performance art, interaction and the brain-computer interfaces [PDF]
, 2014 Although the use of Brain-Computer Interfaces (BCIs) in the arts originates in the 1960s, there is a limited number of known applications in the context of real-time audio-visual and mixed-media performances and accordingly the knowledge base of this ...
Chapman, Paul +3 more
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