Systems, subjects, sessions: To what extent do these factors influence EEG data?
A Melnik, P Legkov, K Izdebski, SM Kärcher… - Frontiers in human …, 2017 - frontiersin.org
Lab-based electroencephalography (EEG) techniques have matured over decades of
research and can produce high-quality scientific data. It is often assumed that the specific …
research and can produce high-quality scientific data. It is often assumed that the specific …
Review of wireless brain-computer interface systems
Over the past two decades, the study of the Brain Computer Interfaces (BCI) has grown dra‐-
matically. According to Scopus search engine, a search result with the keyword “Brain Com …
matically. According to Scopus search engine, a search result with the keyword “Brain Com …
Comparison of brain networks during interictal oscillations and spikes on magnetoencephalography and intracerebral EEG
Electromagnetic source localization in electroencephalography (EEG) and
magnetoencephalography (MEG) allows finding the generators of transient interictal …
magnetoencephalography (MEG) allows finding the generators of transient interictal …
Low-cost circuit design of EEG signal acquisition for the brain-computer interface system
L Zhang, X Guo, X Wu, B Zhou - 2013 6th International …, 2013 - ieeexplore.ieee.org
Increasing number of research activities and different types of studies in brain-computer
interface systems (BCIs) show potential in this young research area. However, BCIs have …
interface systems (BCIs) show potential in this young research area. However, BCIs have …
Graph Convolutional Neural Network with Multi-Scale Attention Mechanism for EEG-Based Motion Imagery Classification.
J Zhu, Q Liu, C Xu - International Journal of Pattern …, 2023 - search.ebscohost.com
Recently, deep learning has been widely used in the classification of EEG signals and
achieved satisfactory results. However, the correlation between EEG electrodes is rarely …
achieved satisfactory results. However, the correlation between EEG electrodes is rarely …
Efficient multichannel EEG compression by optimal tensor truncation
Electroencephalography (EEG) signal is a crucial biomedical signal that helps assess the
psychological, neural, and cognitive conditions of the human brain. However, the huge size …
psychological, neural, and cognitive conditions of the human brain. However, the huge size …
Design of portable multi-channel EEG signal acquisition system
L Zhu, H Chen, X Zhang, K Guo, S Wang… - 2009 2nd …, 2009 - ieeexplore.ieee.org
A portable multi-channel electroencephalography (EEG) signal acquisition system operated
by battery is designed in this paper. EEG is a recording of the electrical activity of the brain …
by battery is designed in this paper. EEG is a recording of the electrical activity of the brain …
Design and simulation of cost effective wireless EEG acquisition system for patient monitoring
The motive of this paper is to design a low cost wireless EEG acquisition system for easily
monitoring of the patient. Using local effort and low price employment, this system can be …
monitoring of the patient. Using local effort and low price employment, this system can be …
Single channel wireless EEG: Proposed application in train drivers
SD Ridwan, R Thompson, BT Jap… - 2008 Third …, 2008 - ieeexplore.ieee.org
Electroencephalography (EEG) can be used as an indicator of fatigue. Several studies have
shown that slow wave brain activities, delta (0-4 Hz) and theta (4-8 Hz), increase as an …
shown that slow wave brain activities, delta (0-4 Hz) and theta (4-8 Hz), increase as an …
NeuroMonitor: a low‐power, wireless, wearable EEG device with DRL‐less AFE
S Consul‐Pacareu, R Mahajan… - IET Circuits, Devices …, 2017 - Wiley Online Library
Electroencephalography (EEG) is an effective tool to non‐invasively capture brain
responses. Traditional EEG analogue front end (AFE) requires a driven right leg (DRL) …
responses. Traditional EEG analogue front end (AFE) requires a driven right leg (DRL) …