Results 1 to 10 of about 96,100 (116)

A study on quality assessment of the surface EEG signal based on fuzzy comprehensive evaluation method

Computer Assisted Surgery, 2019
Surface EEG (Electroencephalography) signal is vulnerable to interference due to its characteristics and sampling methods. So it is of great importance to evaluate the collected EEG signal prior to use.
Dan Liu, Qisong Wang, Yan Zhang, Xin Liu, Jingyang Lu, Jinwei Sun   +5 more
doaj   +2 more sources

Embedding Dimension Selection for Adaptive Singular Spectrum Analysis of EEG Signal

Sensors, 2018
The recorded electroencephalography (EEG) signal is often contaminated with different kinds of artifacts and noise. Singular spectrum analysis (SSA) is a powerful tool for extracting the brain rhythm from a noisy EEG signal.
Shanzhi Xu, Hai Hu, Linhong Ji, Peng Wang   +3 more
doaj   +3 more sources

A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification

IEEE Access, 2019
Nowadays, motor imagery (MI) electroencephalogram (EEG) signal classification has become a hotspot in the research field of brain computer interface (BCI).
Gaowei Xu, Xiaoang Shen, Sirui Chen, Yongshuo Zong, Canyang Zhang, Hongyang Yue, Min Liu, Fei Chen, Wenliang Che   +8 more
doaj   +3 more sources

Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series

Frontiers in Systems Neuroscience, 2021
The detection of causal effects among simultaneous observations provides knowledge about the underlying network, and is a topic of interests in many scientific areas.
Jolan Heyse, Laurent Sheybani, Serge Vulliémoz, Pieter van Mierlo   +3 more
doaj   +1 more source

Changes of interictal epileptiform discharges during medication withdrawal and seizures: A scalp EEG marker of epileptogenicity

Clinical Neurophysiology Practice, 2022
Objective: To determine the influence of antiseizure medication (ASM) withdrawal on interictal epileptogenic discharges (IEDs) in scalp-EEG and seizure propensity.
Pia De Stefano, Eric Ménétré, Serge Vulliémoz, Pieter Van Mierlo, Margitta Seeck   +4 more
doaj   +1 more source

An Efficient Method for Classification of Alcoholic and Normal Electroencephalogram Signals Based on Selection of an Appropriate Feature

Journal of Medical Signals and Sensors, 2023
Background: Alcohol addiction contributes to disorders in brain's normal patterns. Analysis of electroencephalogram (EEG) signal helps to diagnose and classify alcoholic and normal EEG signal.
Maryam Dorvashi, Neda Behzadfar, Ghazanfar Shahgholian   +2 more
doaj   +1 more source

The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods

Bioengineering, 2023
The influence of the coupled electroencephalography (EEG) signal in electrooculography (EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and prefrontal EEG are collected at close range, it is not clear whether EEG couples in EOG ...
Hangyu Zhu, Cong Fu, Feng Shu, Huan Yu, Chen Chen, Wei Chen   +5 more
doaj   +1 more source

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

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.
Ahmad Chaddad, Yihang Wu, Reem Kateb, Ahmed Bouridane   +3 more
doaj   +1 more source

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network

Frontiers in Neuroscience, 2021
Brain computer interaction (BCI) based on EEG can help patients with limb dyskinesia to carry out daily life and rehabilitation training. However, due to the low signal-to-noise ratio and large individual differences, EEG feature extraction and ...
Xiongliang Xiao, Yuee Fang
doaj   +1 more source

Eye-blink artifact removal from single channel EEG with k-means and SSA

Scientific Reports, 2021
In recent years, the usage of portable electroencephalogram (EEG) devices are becoming popular for both clinical and non-clinical applications. In order to provide more comfort to the subject and measure the EEG signals for several hours, these devices ...
Ajay Kumar Maddirala, Kalyana C Veluvolu
doaj   +1 more source