Results 91 to 100 of about 14,058 (232)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

, 2013
The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a joystick can serve as a platform for a brain computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses,
Aminaka, Daiki, Kono, Shota, Makino, Shoji, Rutkowski, Tomasz M.   +3 more
core   +1 more source

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

Epilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli, Natela Okujava, Nikoloz Malashkhia, Tamar Sakvarelidze   +3 more
wiley   +1 more source

Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding

, 2017
Recently, there is increasing interest and research on the interpretability of machine learning models, for example how they transform and internally represent EEG signals in Brain-Computer Interface (BCI) applications.
Ball, Tonio, Hartmann, Kay Gregor, Schirrmeister, Robin Tibor   +2 more
core   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

Epilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana, Matthew McWilliam, Andrea Biondi, Jesus Servando Medel‐Matus, Naoto Kuroda, Giulia Sofia Cereda, Aristea S. Galanopoulou   +6 more
wiley   +1 more source

Widening participation in the International League Against Epilepsy: Looking to the future

Epilepsia Open, EarlyView.
Abstract The International League Against Epilepsy (ILAE) is a global organization dedicated to improving the lives of people with epilepsy through education, research, and advocacy. Recognizing the need for broader engagement and multidisciplinary collaboration, the ILAE has established five sections: Young Epilepsy Section (YES), Nursing, Social Work
J. Helen Cross, Lauren Coleman, Sebastian Oritz, Alina Ivaniuk, Cecilie Gjessing nome, Eugenia Roza, Patricia O. Shafer, Jane von Gaudecker, Chris Ryan, Benjamin H. Brinkmann, Caroline Neuray, Tim Welty, Samuel Wiebe, Alla Guekht   +13 more
wiley   +1 more source

Enhancing spatial cognition through origami training: Insights from brain connectomes

Journal of Intelligent Medicine, EarlyView.
Origami training enhances spatial cognition via measurable brain network changes (EEG/eye‐tracking). The mental rotation and folding tasks validate these gains. This low‐cost method offers a scalable intervention for cognitive decline. Abstract Spatial cognition is a key ability of human cognition and intelligence.
Xiuyun Liu, Chunyang Li, Yuning Zhen, Zofia Czosnyka, Peter Smielewski, Marek Czosnyka, Huijie Yu, Fang Guo, Yongqi Du, Yilin Liu, Jinze Li, Lei Zhang, Runnan He, Tzyy‐Ping Jung   +13 more
wiley   +1 more source

Documented End‐of‐Life Preferences of People With Parkinson's Disease or Parkinsonism Across Europe

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Parkinson's disease and atypical parkinsonism are characterized by motor and non‐motor symptoms. As the disease advances, planning for end‐of‐life (EoL) care becomes increasingly important. However, consensus‐based European guidelines for advance care planning and documentation of EoL care preferences for parkinsonism are lacking ...
Bauke W. Dijkstra, Catharina Muente, Michela Garon, Kristina Rosqvist, Monica Scharfenort, Katharina M. Lex, Philip Poku, Eirini Nixina, Pille Taba, Ülle Krikmann, Katrin Sikk, Katie Flanagan, Anette E. Schrag, Spyros Konitsiotis, Miltiadis Makrydimas, Stefan Lorenzl, Per Odin, David J. Pedrosa, Kris C.P. Vissers, Marieke M. Groot, Bastiaan R. Bloem, Marjan J. Meinders, Angelo Antonini, the PD_Pal consortium, Argyri Tsakanika, Dhaval Trivedi, Dimitri Gatsios, Dimitrios Fotiadis, K. Ray Chaudhuri, Nikolaos Moschos, Piret Paal   +30 more
wiley   +1 more source

Identifying Neurotechnology Challenges at NeuroCAS [PDF]

IEEE Pulse, 2019
The second NeuroCAS event held 20-21 October 2018 in Cleveland, OH, USA, was attended by researchers and entrepreneurs across the fields of biosignals and neurotechnology. On the heels of the IEEE BioCAS Conference, the intent of this collaborative workshop was to offer an opportunity for those within the larger biomedical circuits and systems ...
openaire   +2 more sources

Prolonged ictal and post‐ictal central apnea in an epileptic seizure

Epileptic Disorders, EarlyView.
Wei Zhao, Alena Berkhamova, Rabeha Noor, Abdulrahman Alwaki, Elli Allen   +4 more
wiley   +1 more source