Results 61 to 70 of about 90,513 (199)
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. +2 more
core +1 more source
Relationship Between Child Survival and Malaria Transmission: An Analysis of the Malaria Transmission Intensity and Mortality Burden Across Africa (MTIMBA) Project Data in Rufiji Demographic Surveillance System, Tanzania. [PDF]
, 2014 The precise nature of the relationship between malaria mortality and levels of transmission is unclear. Due to methodological limitations, earlier efforts to assess the linkage have lead to inconclusive results.
Abdulla, Salim +4 more
core +2 more sources
International Journal of Mathematics and Mathematical Sciences, 2012 We associate a graph to any subsetYof aBCI-algebraXand denote it byG(Y). Then we find the set of all connected components ofG(X)and verify the relation betweenXandG(X), whenXis commutativeBCI-algebra orG(X)is complete graph orn-star graph. Finally, we attempt to investigate the relation between some operations on graph and some operations onBCI ...
Omid Zahiri, Rajab Ali Borzooei
openaire +2 more sources
Sensors, 2020 Optimizing neurofeedback (NF) and brain–computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user’s control ability from ...
Mareike Daeglau +5 more
doaj +1 more source
, 2012 The paper presents a pilot study conducted with spatial visual, audiovisual and auditory brain-computer-interface (BCI) based speller paradigms. The psychophysical experiments are conducted with healthy subjects in order to evaluate a difficulty and a ...
Cai, Zhenyu +4 more
core +1 more source
Наука и инновации в медицине, 2016 Aim - to develop a hardware-software complex with combined command-proportional control of robotic devices based on electromyography (EMG) and electroencephalography (EEG) signals. Materials and methods.
S Yu Gordleeva +8 more
doaj +1 more source
Using EEG and NIRS for brain-computer interface and cognitive performance measures: a pilot study [PDF]
, 2013 This study addresses two important problem statements, namely, selection of training datasets for online Brain-Computer Interface (BCI) classifier training and determination of participant concentration levels during an experiment.
Gupta, Cota Navin +1 more
core +1 more source
Toward smarter BCIs: extending BCIs through hybridization and intelligent control [PDF]
Journal of Neural Engineering, 2011 This paper summarizes two novel ways to extend brain-computer interface (BCI) systems. One way involves hybrid BCIs. A hybrid BCI is a system that combines a BCI with another device to help people send information. Different types of hybrid BCIs are discussed, along with challenges and issues.
B Z, Allison +6 more
openaire +2 more sources
Finding Optimal Frequency and Spatial Filters Accompanying Blind Signal Separation of EEG Data for SSVEP-based BCI [PDF]
International Journal of Electronics and Telecommunications, 2018 Brain-computer interface (BCI) is a device which allows paralyzed people to navigate a robot, prosthesis or wheelchair using only their own brains reactions.
Marcin Jukiewicz +2 more
doaj +1 more source
Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots [PDF]
, 2018 This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot.
Antonello, Morris +4 more
core +2 more sources