Results 221 to 230 of about 141,484 (301)

Detection of focal impaired awareness seizures using a biometric shirt

Epilepsia Open, EarlyView.
Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean, Oumayma Gharbi, Dènahin Hinnoutondji Toffa, Thi Phuoc Yen Tran, Manon Robert, Dang Khoa Nguyen, Elie Bou Assi   +6 more
wiley   +1 more source

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

Epilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning. [PDF]

PeerJ Comput Sci
Hu X, Xie Y, Zhao H, Sheng G, Lai KW, Zhang Y.   +5 more
europepmc   +1 more source

Epileptic drop attacks: More than just atonic seizures

Epilepsia Open, EarlyView.
Abstract “Drop attacks” are not officially defined by the International League Against Epilepsy. Seizures are characterized by a sudden loss of control over the trunk and posture, leading to falls and injuries, and resolving within a few seconds. Accurately diagnosing the type of seizure is usually difficult due to limitations in clinical documentation
Tomonori Ono, Kazuaki Sato, Ryoko Honda, Hiroshi Otsubo   +3 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Disabled users accessing off-the-shelf software using a button interface [PDF]

, 2011
Gnanayutham, Paul, Good, Alice
core  

The multiple hit model of infantile and epileptic spasms: The 2025 update

Epilepsia Open, EarlyView.
Abstract Objective Infantile and epileptic spasms syndrome (IESS) is a developmental and epileptic encephalopathy manifesting with epileptic spasms and poor neurodevelopmental outcomes. There is an urgent need for the development of more effective and tolerated therapies.
Aristea S. Galanopoulou, Wenzhu B. Mowrey, Wei Liu, Anna Maria Katsarou, Qianyun Li, Oleksii Shandra, Solomon L. Moshé   +6 more
wiley   +1 more source

Detection of interictal epileptiform discharges using multiple bilateral insertions of a newly developed microcatheter‐compatible endovascular electroencephalogram electrode: A clinical feasibility trial

Epilepsia Open, EarlyView.
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki, Yosuke Masuda, Ayataka Fujimoto, Mitsuyo Nishimura, Hisayuki Hosoo, Hiroki Ishida, Takashi Enokizono, Kensuke Kawai, Eiichi Ishikawa, Yuji Matsumaru   +9 more
wiley   +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

Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback. [PDF]

Bosn J Basic Med Sci, 2019
Omejc N, Rojc B, Battaglini PP, Marusic U.   +3 more
europepmc   +1 more source