16 papers · ranked by Valyu relevance
Raheel Zafar, Sarat C. Dass, Aamir Saeed Malik, Bin He
Electroencephalogram (EEG)-based decoding human brain activity is challenging, owing to the low spatial resolution of EEG. However, EEG is an important technique, especially for brain-computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated with different types…
Jasper E. Hajonides, Anna C. Nobre, Freek van Ede, Mark G. Stokes
Recent advances have made it possible to decode various aspects of visually presented stimuli from patterns of scalp EEG measurements. As of recently, such multivariate methods have been commonly used to decode visual-spatial features such as location, orientation, or spatial frequency. In the current study, we show…
Andrew Y. Paek, Harshavardhan A. Agashe, José L. Contreras-Vidal
We investigated how well repetitive finger tapping movements can be decoded from scalp electroencephalography (EEG) signals. A linear decoder with memory was used to infer continuous index finger angular velocities from the low-pass filtered fluctuations of the amplitude of a plurality of EEG signals distributed across…
Yijia Wu, Yanjing Mao, Kaiqiang Feng, Donglai Wei + 2 more
'Jude Hemanth'] RGB color is a basic visual feature. Here we use machine learning and visual evoked potential (VEP) of electroencephalogram (EEG) data to investigate the decoding features of the time courses and space location that extract it, and whether they depend on a common brain cortex channel. We show that RGB…
Ksenia Volkova, Mikhail A. Lebedev, Alexander Kaplan, Alexei Ossadtchi
'Alexei Ossadtchi'] Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for people suffering from neurological disabilities. This recording technique combines adequate temporal and spatial resolution with the lower risks of medical complications compared to the other invasive…
Xiaoqian Mao, Mengfan Li, Wei Li, Linwei Niu + 3 more
'Genshe Chen'] The most popular noninvasive Brain Robot Interaction (BRI) technology uses the electroencephalogram- (EEG-) based Brain Computer Interface (BCI), to serve as an additional communication channel, for robot control via brainwaves. This technology is promising for elderly or disabled patient assistance with…
Christos Orovas, Theodosios Sapounidis, Christina Volioti, Euclid Keramopoulos + 1 more
'Euclid Keramopoulos' 'Francesco Carlo Morabito'] Education is an activity that involves great cognitive load for learning, understanding, concentrating, and other high-level cognitive tasks. The use of the electroencephalogram (EEG) and other brain imaging techniques in education has opened the scientific field of…
Ahmad Chaddad, Yihang Wu, Reem Kateb, Ahmed Bouridane + 2 more
The electroencephalography (EEG) signal is a noninvasive and complex signal that has numerous applications in biomedical fields, including sleep and the brain-computer interface. Given its complexity, researchers have proposed several advanced preprocessing and feature extraction methods to analyze EEG signals. In this…
Sebastian Nagel, Martin Spüler, William Speier
Visual evoked potentials (VEPs) can be measured in the EEG as response to a visual stimulus. Commonly, VEPs are displayed by averaging multiple responses to a certain stimulus or a classifier is trained to identify the response to a certain stimulus. While the traditional approach is limited to a set of predefined…
Benjamin Wittevrongel, Elvira Khachatryan, Mansoureh Fahimi Hnazaee, Flavio Camarrone + 6 more
'Flavio Camarrone' 'Evelien Carrette' 'Leen De Taeye' 'Alfred Meurs' 'Paul Boon' 'Dirk Van Roost' 'Marc M. Van Hulle'] We report on a unique electrocorticography (ECoG) experiment in which Steady-State Visual Evoked Potentials (SSVEPs) to frequency- and phase-tagged stimuli were recorded from a large subdural grid…
Soo-In Choi, Chang-Hee Han, Ga-Young Choi, Jaeyoung Shin + 3 more
'Kwang Soup Song' 'Chang-Hwan Im' 'Han-Jeong Hwang'] Brain-computer interface (BCI) studies based on electroencephalography (EEG) measured around the ears (ear-EEGs) have mostly used exogenous paradigms involving brain activity evoked by external stimuli. The objective of this study is to investigate the feasibility of…
Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros + 5 more
'Khosrow Behbehani' 'Radana Kahankova' 'Aleksandra Kawala-Sterniuk' 'Sung-Phil Kim' 'Yvonne Tran'] As it was mentioned in the previous part of this work (Part I)-the advanced signal processing methods are one of the quickest and the most dynamically developing scientific areas of biomedical engineering with their…
K. Sheela sobana Rani, S Pravinth Raja, M. Sinthuja, B Vidhya Banu + 2 more
EEG, or Electroencephalogram, is an instrument that examines the brain's functions while it is executing any activity. EEG signals to aid in the identification of brain processes and movements and are thus useful in the detection of neurobiological illnesses. Pulses have a very weak magnitude and are recorded from peak…
Pedro M. R. Reis, Felix Hebenstreit, Florian Gabsteiger, Vinzenz von Tscharner + 1 more
EEG involves the recording, analysis, and interpretation of voltages recorded on the human scalp which originate from brain gray matter. EEG is one of the most popular methods of studying and understanding the processes that underlie behavior. This is so, because EEG is relatively cheap, easy to wear, light weight and…
Chama Belkhiria, Vsevolod Peysakhovich
Electro-encephalography (EEG) and electro-oculography (EOG) are methods of electrophysiological monitoring that have potentially fruitful applications in neuroscience, clinical exploration, the aeronautical industry, and other sectors. These methods are often the most straightforward way of evaluating brain…
Jeehoon Kim, Jeongsu Lee, Chungmin Han, Kwangsuk Park
We developed a new type of electroencephalogram (EEG) headset system with comb-shaped electrodes that enables the wearer to quickly don and utilize it in daily life. Two models that can measure EEG signals using up to eight channels have been implemented. The electrodes implemented in the headsets are similar to a comb…