Results 1 to 10 of about 232,861 (370)

Electroencephalography source localization [PDF]

Clinical and Experimental Pediatrics, 2023
Electroencephalography (EEG) has been and is still widely used in brain function research. EEG has advantages over other neuroimaging modalities. First, it not only directly images the electrical activity of neurons; it has a higher temporal resolution ...
Tae-Hoon Eom
doaj   +1 more source

Continuous heart rate variability and electroencephalography monitoring in severe acute brain injury: a preliminary study [PDF]

Acute and Critical Care, 2021
Background Decreases in heart rate variability have been shown to be associated with poor outcomes in severe acute brain injury. However, it is unknown whether the changes in heart rate variability precede neurological deterioration in such patients.
Hyunjo Lee, Sang-Beom Jeon, Kwang-Soo Lee   +2 more
doaj   +1 more source

Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques

Italian National Conference on Sensors, 2023
The electroencephalography (EEG) signal is a noninvasive and complex signal that has numerous applications in biomedical fields, including sleep and the brain–computer interface.
A. Chaddad, Yihang Wu, Reem Kateb, A. Bouridane   +3 more
semanticscholar   +1 more source

Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification [PDF]

AAAI Conference on Artificial Intelligence, 2021
State-of-the-art brain-to-text systems have achieved great success in decoding language directly from brain signals using neural networks. However, current approaches are limited to small closed vocabularies which are far from enough for natural ...
Zhenhailong Wang, Heng Ji
semanticscholar   +1 more source

Considerate motion imagination classification method using deep learning.

PLoS ONE, 2022
In order to improve the classification accuracy of motion imagination, a considerate motion imagination classification method using deep learning is proposed.
Zhaokun Yan, Xiangquan Yang, Yu Jin
doaj   +2 more sources

Associations Between Infant Screen Use, Electroencephalography Markers, and Cognitive Outcomes

JAMA pediatrics, 2023
This cohort study analyzes data for children from the population-based study Growing Up in Singapore Toward Healthy Outcomes (GUSTO) to examine the associations between infant screen time, electroencephalography markers, and school-age cognitive outcomes
Law Ec, Han Mx, Lai Z, Lim S, Ong Zy, Ng V, Gabard-Durnam Lj, Wilkinson Cl, Levin Ar, Rifkin-Graboi A, Daniel Lm, Gluckman Pd, Chong Ys, Meaney Mj, Nelson Ca   +14 more
semanticscholar   +1 more source

The International Cardiac Arrest Research Consortium Electroencephalography Database

Critical Care Medicine, 2023
OBJECTIVES: To develop the International Cardiac Arrest Research (I-CARE), a harmonized multicenter clinical and electroencephalography database for acute hypoxic-ischemic brain injury research involving patients with cardiac arrest.
MD Edilberto Amorim, PhD Wei-Long Zheng, PhD Mohammad M. Ghassemi, MSc Mahsa Aghaeeaval, PhD Pravinkumar Kandhare, Vishnu Karukonda, Ba, MD PhD Jong Woo Lee, MD Susan T. Herman, MD Adithya Sivaraju, MD PhD Nicolas Gaspard, MD PhD Jeannette Hofmeijer, MD PhD Michel J. A. M. van Putten, PhD Reza Sameni, PhD Matthew A. Reyna, DPhil Gari D. Clifford, M. P. M. Brandon Westover   +16 more
semanticscholar   +1 more source

Deep learning-based electroencephalography analysis: a systematic review [PDF]

Journal of Neural Engineering, 2019
Context. Electroencephalography (EEG) is a complex signal and can require several years of training, as well as advanced signal processing and feature extraction methodologies to be correctly interpreted.
Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, T. Falk, J. Faubert   +5 more
semanticscholar   +1 more source

Adhesive Wearable Sensors for Electroencephalography from Hairy Scalp

Advanced Healthcare Materials, 2023
Electroencephalography has garnered interest for applications in mobile healthcare, human–machine interfaces, and Internet of Things. Conventional electroencephalography relies on wet and dry electrodes.
A. Zhang, Abhijith Balamuraleekrishna Shyam, Alexandra Cunningham, Chris Williams, Amanda J Brissenden, Alex Bartley, B. Amsden, A. Docoslis, M. Kontopoulou, S. K. Ameri   +9 more
semanticscholar   +1 more source

The Future of Neuroscience: Flexible and Wireless Implantable Neural Electronics

Advanced Science, 2021
Neurological diseases are a prevalent cause of global mortality and are of growing concern when considering an ageing global population. Traditional treatments are accompanied by serious side effects including repeated treatment sessions, invasive ...
Eve McGlynn, Vahid Nabaei, Elisa Ren, Gabriel Galeote‐Checa, Rupam Das, Giulia Curia, Hadi Heidari   +6 more
doaj   +1 more source