Results 61 to 70 of about 3,887,920 (279)

IDENTIFIKASI SINYAL ELEKTRODE ENCHEPALO GRAPH UNTUK MENGGERAKKAN KURSOR MENGGUNAKAN TEKNIK SAMPLING DAN JARINGAN SYARAF TIRUAN

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2011
This paper describe the application of backpropagation neural networks as classification and sampling technique (ST) for the extraction of features from the signal wave Electro Encephalo Graph (EEG).
Hindarto -, Moch. Hariadi, Mauridhi Hery Purnomo   +2 more
doaj   +2 more sources

An Intelligent EEG Classification Methodology Based on Sparse Representation Enhanced Deep Learning Networks

Frontiers in Neuroscience, 2020
The classification of electroencephalogram (EEG) signals is of significant importance in brain–computer interface (BCI) systems. Aiming to achieve intelligent classification of EEG types with high accuracy, a classification methodology using sparse ...
Jing-Shan Huang, Yang Li, Bin-Qiang Chen, Chuang Lin, Bin Yao   +4 more
doaj   +1 more source

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu, Changgeng Song, Dianwei Wu, Xiaoqian Niu, Jianmin Hao, Lijuan Liu, Xiaogang Kang, Wen Jiang   +7 more
wiley   +1 more source

The Performance of EEG-P300 Classification using Backpropagation Neural Networks

Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2013
Electroencephalogram (EEG) recordings signal provide an important function of brain-computer communication, but the accuracy of their classification is very limited in unforeseeable signal variations relating to artifacts.
Arjon Turnip, Demi Soetraprawata
doaj   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

Approximate entropy as an indicator of non-linearity in self paced voluntary finger movement EEG [PDF]

, 2013
This study investigates the indications of non-linear dynamic structures in electroencephalogram signals. The iterative amplitude adjusted surrogate data method along with seven non-linear test statistics namely the third order autocorrelation, asymmetry
Balli, Tugce, Ballı, Tuğçe, Palaniappan, Ramaswamy   +2 more
core   +1 more source

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato, Alessia Giugno, Miriam Sturniolo, Enrico Fratto, Pio Zoleo, Francesca Felicia Operto, Ilaria Sammarra, Antonio Gambardella   +7 more
wiley   +1 more source

Autism and mild epilepsy associated with a de novo missense pathogenic variant in the GTPase effector domain of DNM1

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView., 2023
Abstract Dynamin 1 is a GTPase protein involved in synaptic vesicle fission, which facilitates the exocytosis of neurotransmitters necessary for normal signaling. Pathogenic variants in the DNM1 gene are associated with intractable epilepsy, often manifested as infantile spasms at onset, developmental delay, and a movement disorder, and are located in ...
Davide Mei, Elena Parrini, Claudia Bianchini, Maria Luisa Ricci, Renzo Guerrini   +4 more
wiley   +1 more source

MNL-Network: A Multi-Scale Non-local Network for Epilepsy Detection From EEG Signals

Frontiers in Neuroscience, 2020
Epilepsy is a prevalent neurological disorder that threatens human health in the world. The most commonly used method to detect epilepsy is using the electroencephalogram (EEG).
Guokai Zhang, Le Yang, Boyang Li, Yiwen Lu, Qinyuan Liu, Wei Zhao, Tianhe Ren, Junsheng Zhou, Shui-Hua Wang, Shui-Hua Wang, Wenliang Che   +10 more
doaj   +1 more source

Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings

Sensors, 2023
Advances in signal processing and machine learning have expedited electroencephalogram (EEG)-based emotion recognition research, and numerous EEG signal features have been investigated to detect or characterize human emotions.
Rajamanickam Yuvaraj, Prasanth Thagavel, John Thomas, Jack Fogarty, Farhan Ali   +4 more
doaj   +1 more source