Results 41 to 50 of about 89,345 (245)

A Survey in Implementation and Applications of Electroencephalograph (EEG)-Based Brain-Computer Interface [PDF]

Engineering and Technology Journal, 2021
A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves
Samaa Abdulwahab, Hussain Khleaf, Manal Jasim   +2 more
doaj   +1 more source

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features [PDF]

, 2017
Riemannian geometry has been successfully used in many brain-computer interface (BCI) classification problems and demonstrated superior performance. In this paper, for the first time, it is applied to BCI regression problems, an important category of BCI
Gordon, Stephen, Jung, Tzyy-Ping, Lance, Brent J., Lawhern, Vernon J., Lin, Chin-Teng, Wu, Dongrui   +5 more
core   +1 more source

Novel dry electrode EEG headbands for home use: Comparing performance and comfort

Current Directions in Biomedical Engineering, 2020
Monitoring brain activity at home using electroencephalography (EEG) is an increasing trend for both medical and non-medical applications. Gel-based electrodes are not suitable due to the gel application requiring extensive preparation and cleaning ...
Haueisen Jens, Fiedler Patrique, Bernhardt Anna, Gonçalves Ricardo, Fonseca Carlos   +4 more
doaj   +1 more source

Experimental Investigation of Displacer Seal Geometry Effects in Stirling Cycle Machines

Energies, 2019
This contribution deals with an experimental investigation of the optimization potential of Stirling engines and similar regenerative machines by an enhanced design of the cylinder liner and the seal.
Jan Sauer, Hans-Detlev Kühl
doaj   +1 more source

Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks

IEEE Access
This paper introduces a novel application of functional neural networks (FNNs) in the domain of electroencephalography-based (EEG-based) brain-computer interfaces (BCIs), targeting self-paced motor execution (ME) and motor imagery (MI).
Mavin Heim, Florian Heinrichs, Michael Hueppe, Fran Nunez, Alexander Szameitat, Muriel Reuter, Stefan M. Goetz, Corinna Weber   +7 more
doaj   +1 more source

Usability of a Hybrid System Combining P300-Based Brain-Computer Interface and Commercial Assistive Technologies to Enhance Communication in People With Multiple Sclerosis

Frontiers in Human Neuroscience, 2022
Brain-computer interface (BCI) can provide people with motor disabilities with an alternative channel to access assistive technology (AT) software for communication and environmental interaction.
Angela Riccio, Angela Riccio, Francesca Schettini, Francesca Schettini, Valentina Galiotta, Enrico Giraldi, Maria Grazia Grasso, Febo Cincotti, Donatella Mattia, Donatella Mattia   +9 more
doaj   +1 more source

Full-Field Imaging for Evaluating Mode-II Fracture Toughness in CFRP Laminates

Proceedings
To replicate delaminations at the coupon and substructural scales, simulated defects are often introduced into test specimens; therefore, understanding their behaviour within the laminate is essential.
Riccardo Cappello, Rafael Ruiz-Iglesias, Spyros Spyridonidis, Neha Chandarana, Janice M. Dulieu-Barton   +4 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, Palaniappan, Ramaswamy   +1 more
core   +1 more source

On the stimulus duty cycle in steady state visual evoked potential [PDF]

, 2014
Brain-computer interfaces (BCI) are useful devices that allow direct control of external devices using thoughts, i.e. brain's electrical activity. There are several BCI paradigms, of which steady state visual evoked potential (SSVEP) is the most commonly
Palaniappan, Ramaswamy, Wilson, John J.
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, Masanja, Honorati, Rumisha, Susan F, Smith, Thomas A, Vounatsou, Penelope   +4 more
core   +2 more sources