Methods for simultaneous EEG-fMRI: an introductory review
The simultaneous recording and analysis of electroencephalography (EEG) and fMRI data
in human systems, cognitive and clinical neurosciences is rapidly evolving and has received …
in human systems, cognitive and clinical neurosciences is rapidly evolving and has received …
EEG-based brain-computer interfaces: a thorough literature survey
Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …
helping disabled people communicate with the outside world using brain signals. In …
Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy
E Combrisson, K Jerbi - Journal of neuroscience methods, 2015 - Elsevier
Abstract Machine learning techniques are increasingly used in neuroscience to classify
brain signals. Decoding performance is reflected by how much the classification results …
brain signals. Decoding performance is reflected by how much the classification results …
Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines
T Lajnef, S Chaibi, P Ruby, PE Aguera… - Journal of neuroscience …, 2015 - Elsevier
Background Sleep staging is a critical step in a range of electrophysiological signal
processing pipelines used in clinical routine as well as in sleep research. Although the …
processing pipelines used in clinical routine as well as in sleep research. Although the …
Role of EEG as biomarker in the early detection and classification of dementia
The early detection and classification of dementia are important clinical support tasks for
medical practitioners in customizing patient treatment programs to better manage the …
medical practitioners in customizing patient treatment programs to better manage the …
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
Predicting biomedical outcomes from Magnetoencephalography and
Electroencephalography (M/EEG) is central to applications like decoding, brain-computer …
Electroencephalography (M/EEG) is central to applications like decoding, brain-computer …
Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain …
According to Cognitive Load Theory (CLT), one of the crucial factors for successful learning
is the type and amount of working-memory load (WML) learners experience while studying …
is the type and amount of working-memory load (WML) learners experience while studying …
Early seizure detection algorithm based on intracranial EEG and random forest classification
C Donos, M Dümpelmann… - International journal of …, 2015 - World Scientific
The goal of this study is to provide a seizure detection algorithm that is relatively simple to
implement on a microcontroller, so it can be used for an implantable closed loop stimulation …
implement on a microcontroller, so it can be used for an implantable closed loop stimulation …
Brain-computer interface based on generation of visual images
P Bobrov, A Frolov, C Cantor, I Fedulova, M Bakhnyan… - PloS one, 2011 - journals.plos.org
This paper examines the task of recognizing EEG patterns that correspond to performing
three mental tasks: relaxation and imagining of two types of pictures: faces and houses. The …
three mental tasks: relaxation and imagining of two types of pictures: faces and houses. The …
Guidelines for the recording and evaluation of pharmaco-EEG data in man: the International Pharmaco-EEG Society (IPEG)
M Jobert, FJ Wilson, GSF Ruigt, M Brunovsky… - …, 2012 - karger.com
Abstract The International Pharmaco-EEG Society (IPEG) presents updated guidelines
summarising the requirements for the recording and computerised evaluation of pharmaco …
summarising the requirements for the recording and computerised evaluation of pharmaco …