Results 81 to 90 of about 9,577 (247)

Overcoming Inter-Subject Variability in BCI Using EEG-Based Identification [PDF]

, 2014
The high dependency of the Brain Computer Interface (BCI) system performance on the BCI user is a well-known issue of many BCI devices. This contribution presents a new way to overcome this problem using a synergy between a BCI device and an EEG-based ...
Kostilek, M., Sovka, Pavel, Šťastný, Jakub   +2 more
core   +1 more source

Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks

, 2019
The effectiveness of biosignal generation and data augmentation with biosignal generative models based on generative adversarial networks (GANs), which are a type of deep learning technique, was demonstrated in our previous paper.
Harada, Shota, Hayashi, Hideaki, Uchida, Seiichi   +2 more
core  

Marine silicon for biomedical sustainability

BMEMat, EarlyView.
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han, Zhibo Yang, Wei Xia, Chengtie Wu   +3 more
wiley   +1 more source

Erratum

, 2021
VIEW, EarlyView.
wiley   +1 more source

Biosignals as an Advanced Man-Machine Interface [PDF]

, 2009
As is known for centuries, humans exhibit an electrical profile. This profile is altered through various physiological processes, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA).
Broek, Egon L. van den, Lisy, Viliam, Schut, Marleen H., Tuinenbreijer, Kees, Westerink, Joyce H.D.M.   +4 more
core   +4 more sources

A call for ethical, equitable, and effective artificial intelligence to improve care for all people with epilepsy: A roadmap. A report by the ILAE Global Advocacy Council and Big Data Commission

Epilepsia, EarlyView.
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson, Sandor Beniczky, Spiros Denaxas, Akio Ikeda, Lara Jehi, Angelina Kakooza Mwesige, Nathalie Jette, Gabriel Davis Jones, Philippe Ryvlin, Arjune Sen, Chahnez Charfi Triki, Gabriella Waters, Alla Guekht, J. Helen Cross   +13 more
wiley   +1 more source

Timing is everything: Expert opinion on researching epilepsy rhythms by the ILAE Task Force on Chronobiology

Epilepsia, EarlyView.
Abstract Recurrent seizures, the hallmark of epilepsy, are influenced by rhythms operating over multiple timescales. Chronobiology is the study of biological timing that aims to explain temporal patterns of events like seizures. Fueled by recent advances in genetics, computational modeling, and device engineering, the chronobiology of epilepsy is now a
Maxime O. Baud, Christophe Bernard, Birgit Frauscher, Philippa J. Karoly, Vikram R. Rao   +4 more
wiley   +1 more source

Evolution of the European Medicines Agency clinical guidelines for epilepsy drug development between 2010 and 2025: A comparative analysis by the ILAE Task Force on Regulatory Affairs

Epilepsia, EarlyView.
Abstract Objective The latest European Medicines Agency (EMA) guideline on the clinical investigation of medicines to treat epileptic disorders was adopted by the EMA Committee for Medicinal Products for Human Use in 2025. We compared this guideline with the previous version (2010), highlighting areas where significant revisions were introduced ...
Stéphane Auvin, Alexis Arzimanoglou, Jacqueline French, Kelly G. Knupp, Lieven Lagae, Eugen Trinka, Dennis Dlugos, Emilio Perucca   +7 more
wiley   +1 more source

Introducing MOSAIC: A Modular, Open-Source Suite for Assistive Intelligent Control

IEEE Access
Modern assistive technologies, including prosthetic limbs, orthotic devices, and rehabilitation robots, are increasingly being driven by biosignal-based control systems.
Hannah Braun, Marek Sierotowicz, Fabio Egle, Marc-Anton Scheidl, Silvana Miranda Montenegro, Sabine Thuerauf, Claudio Castellini   +6 more
doaj   +1 more source

PENGOLAHAN SIGNAL ELEKTROMIOGRAFI PADA LENGAN UNTUK MENGGERAKKAN LENGAN ROBOT DENGAN 3 DOF [PDF]

, 2010
Muscle is a part of human body that has function in human movement system. The function of electromyography in the muscle is to detect the electric potential produced by the muscle in contraction and relaxation that can be used to control a system.
., Kemalasari, Basri, Safarudin, Rokhana, Rika, Wardana, Paulus Susetyo   +3 more
core