Results 31 to 40 of about 140,309 (333)

Review on Emotion Recognition Based on Electroencephalography

Frontiers in Computational Neuroscience, 2021
Emotions are closely related to human behavior, family, and society. Changes in emotions can cause differences in electroencephalography (EEG) signals, which show different emotional states and are not easy to disguise.
Haoran Liu, Ying Zhang, Yujun Li, Xiangyi Kong   +3 more
semanticscholar   +1 more source

Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices [PDF]

IEEE Signal Processing Magazine, 2020
People suffering from hearing impairment often have difficulties participating in conversations in so-called cocktail party scenarios where multiple individuals are simultaneously talking.
Simon Geirnaert, Servaas Vandecappelle, E. Alickovic, A. de Cheveigné, E. Lalor, B. Meyer, Sina Miran, T. Francart, A. Bertrand   +8 more
semanticscholar   +1 more source

Comparative Effectiveness of Stereotactic Electroencephalography Versus Subdural Grids in Epilepsy Surgery

Annals of Neurology, 2021
The aim was to compare the outcomes of subdural electrode (SDE) implantations versus stereotactic electroencephalography (SEEG), the 2 predominant methods of intracranial electroencephalography (iEEG) performed in difficult‐to‐localize drug‐resistant ...
L. Jehi, M. Morita-Sherman, T. Love, F. Bartolomei, W. Bingaman, K. Braun, R. Busch, J. Duncan, W. Hader, G. Luan, J. Rolston, S. Schuele, L. Tassi, Sumeet Vadera, Shehryar R Sheikh, I. Najm, A. Arain, Justin Bingaman, B. Diehl, Jane de Tisi, M. Rados, P. van Eijsden, Sandra Wahby, Xiongfei Wang, S. Wiebe   +24 more
semanticscholar   +1 more source

A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks

Scientific Data, 2022
Measurement(s) brain activity and eye movements measurement Technology Type(s) electroencephalography and eye-tracking Factor Type(s) electroencephalography (EEG) • eye-tracking (ET) Sample Characteristic - Organism Human Sample Characteristic - Location
Xinzhen Pei, Guiying Xu, Yunhui Zhou, Luna Tao, Xiaozhu Cui, Zhenyu Wang, Bingru Xu, An-Li Wang, Xi Zhao, Haijun Dong, Yan An, Yang Cao, Ruxue Li, Honglin Hu, Yuguo Yu   +14 more
doaj   +1 more source

Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements

Scientific Reports, 2021
Compared to the abilities of the animal brain, many Artificial Intelligence systems have limitations which emphasise the need for a Brain-Inspired Artificial Intelligence paradigm. This paper proposes a novel Brain-Inspired Spiking Neural Network (BI-SNN)
Kaushalya Kumarasinghe, N. Kasabov, Denise Taylor   +2 more
semanticscholar   +1 more source

Electroencephalography-based monitors

Journal of Neuroanaesthesiology and Critical Care, 2015
An electroencephalogram (EEG), detects changes and abnormalities in the electrical activity of the brain and thus provides a way to dynamically assess brain function. EEG may be used to diagnose and manage a number of clinical conditions such as epilepsy,
Nidhi Gupta, Gyaninder P Singh
doaj   +1 more source

Altered frontal electroencephalography as a potential correlate of acute dissociation in dissociative disorders: novel findings from a mirror confrontation study

BJPsych Open, 2022
People suffering from chronic dissociation often experience stress and detachment during self-perception. We tested 18 people with dissociative disorders not otherwise specified (DDNOS; compared with a matched sample of 18 healthy controls) undergoing a ...
Eva Schäflein, Yoki Linn Mertens, Nena Lejko, Sarah Beutler, Heribert Sattel, Martin Sack   +5 more
doaj   +1 more source

Identification of psychiatric-disorder subtypes from functional-connectivity patterns in resting-state electroencephalography

Nature Biomedical Engineering, 2020
The understanding and treatment of psychiatric disorders, which are known to be neurobiologically and clinically heterogeneous, could benefit from the data-driven identification of disease subtypes.
Yu Zhang, Wei Wu, R. Toll, S. Naparstek, A. Maron-Katz, Mallissa Watts, Joseph Gordon, Jisoo Jeong, L. Astolfi, Emmanuel Shpigel, Parker Longwell, K. Sarhadi, Dawlat El-Said, Yuanqing Li, Crystal M. Cooper, Cherise Chin-Fatt, M. Arns, Madeleine S. Goodkind, M. Trivedi, C. Marmar, A. Etkin   +20 more
semanticscholar   +1 more source

Applicability of long-term electroencephalography in pre-mortem diagnosis of Creutzfeldt–Jakob disease: A case report

SAGE Open Medical Case Reports, 2017
Creutzfeldt–Jakob disease accounts for more than 90% of all sporadic prion disease cases. The molecular MM2 genotype has been divided into cortical and thalamic subtypes based on structures involved and is characterized clinically by progressive dementia
Sanaz Attaripour Isfahani, Michelle Dougherty, Gediminas Peter Gliebus   +2 more
doaj   +1 more source

EEG-BIDS, an extension to the brain imaging data structure for electroencephalography

Scientific Data, 2019
The Brain Imaging Data Structure (BIDS) project is a rapidly evolving effort in the human brain imaging research community to create standards allowing researchers to readily organize and share study data within and between laboratories.
C. Pernet, S. Appelhoff, Krzysztof J. Gorgolewski, G. Flandin, C. Phillips, A. Delorme, R. Oostenveld   +6 more
semanticscholar   +1 more source