Classification of obsessive compulsive disorder by EEG complexity and hemispheric dependency measurements
In the present study, both single channel electroencephalography (EEG) complexity and two
channel interhemispheric dependency measurements have newly been examined for …
channel interhemispheric dependency measurements have newly been examined for …
[PDF][PDF] Author's Accepted Manuscript
Open source projects leverage a large number of people to review products and improve
code quality. Differences among participants are inevitable and important to this …
code quality. Differences among participants are inevitable and important to this …
Entropy-based estimation of event-related de/synchronization in motor imagery using vector-quantized patterns
L Velasquez-Martinez, J Caicedo-Acosta… - Entropy, 2020 - mdpi.com
Assessment of brain dynamics elicited by motor imagery (MI) tasks contributes to clinical and
learning applications. In this regard, Event-Related Desynchronization/Synchronization …
learning applications. In this regard, Event-Related Desynchronization/Synchronization …
Decoding covert motivations of free riding and cooperation from multi-feature pattern analysis of EEG signals
Cooperation and free riding are among the most frequently observed behaviors in human
social decision-making. In social interactions, the effects of strategic decision processes …
social decision-making. In social interactions, the effects of strategic decision processes …
Multi-channel EEG signal segmentation and feature extraction
A Procházka, M Mudrova, O Vyšata… - 2010 IEEE 14th …, 2010 - ieeexplore.ieee.org
Signal analysis of multi-channel data form a specific area of general digital signal
processing methods. The paper is devoted to application of these methods for …
processing methods. The paper is devoted to application of these methods for …
Stress detection based EEG under varying cognitive tasks using convolution neural network
One tool for promoting mental health is human stress detection through multitasks of
electroencephalography (EEG) recordings. This study proposed a short-term stress …
electroencephalography (EEG) recordings. This study proposed a short-term stress …
Dynamical nonstationarity analysis of resting EEGs in Alzheimer's disease
CFV Latchoumane, E Ifeachor, N Hudson… - … 2007, Kitakyushu, Japan …, 2008 - Springer
The understanding of nonstationarity, from both a dynamical and a statistical point of view,
has turned from a constraint on application of a specific type of analysis (eg spectral …
has turned from a constraint on application of a specific type of analysis (eg spectral …
Recent Advances in Intelligent Engineering Systems
This volume is a collection of 19 chapters on intelligent engineering systems written by
respectable experts of the fields. The book consists of three parts. The first part is devoted to …
respectable experts of the fields. The book consists of three parts. The first part is devoted to …
Discriminating mental states by extracting relevant spatial patterns under non-stationary and subject-independent constraints
LF Velásquez Martínez - 2023 - repositorio.unal.edu.co
Evaluation of brain dynamics elicited by motor imagery (MI) tasks can contribute to clinical
and learning applications. In this work, we propose four specific improvements for brain …
and learning applications. In this work, we propose four specific improvements for brain …
Electroencephalographic complexity and decreased randomness in drug-naive obsessive-compulsive patients
S Tan, S Aydin - DUSUNEN ADAM-JOURNAL OF …, 2017 - avesis.hacettepe.edu.tr
https://dusunenadamdergisi. org/storage/upload/pdfs/1585638731-en. pdfObjective: Studies
investigating the complexity in electroencephalography (EEG) in various neuropsychiatric …
investigating the complexity in electroencephalography (EEG) in various neuropsychiatric …