Results 61 to 70 of about 49,364 (181)

Mobile Device Applications for the Visualization of Functional Connectivity Networks and EEG electrodes: iBraiN and iBraiNEEG.

Frontiers in Neuroinformatics, 2016
Multiple fMRI-based functional connectivity networks were obtained by Yeo et al., and the visualization of these complex networks is a difficult task. Also, the combination of functional connectivity networks determined by fMRI with EEG data could be a ...
Gonzalo Mauricio Rojas, Gonzalo Mauricio Rojas, Jorge Fuentes, Marcelo Gálvez, Marcelo Gálvez   +4 more
doaj   +1 more source

Deep Transfer Learning for Error Decoding from Non-Invasive EEG

, 2018
We recorded high-density EEG in a flanker task experiment (31 subjects) and an online BCI control paradigm (4 subjects). On these datasets, we evaluated the use of transfer learning for error decoding with deep convolutional neural networks (deep ...
Ball, Tonio, Burgard, Wolfram, Fiederer, Lukas D. J., Schirrmeister, Robin T., Völker, Martin   +4 more
core   +1 more source

Age-sensitive effects of enduring work with alternating cognitive and physical load. A study applying mobile EEG in a real life working scenario

Frontiers in Human Neuroscience, 2016
Ergonomic assessment of a workplace requires the evaluation of physical as well as cognitive aspects of a particular working situation. In particular the latter is hardly possible without interfering in the natural setting.
Edmund eWascher, Holger eHeppner, Sven Oliver Kobald, Stefan eArnau, Stephan eGetzmann, Tina eMöckel   +5 more
doaj   +1 more source

Mobile bound states of Rydberg excitations in a lattice

, 2017
Spin lattice models play central role in the studies of quantum magnetism and non-equilibrium dynamics of spin excitations -- magnons. We show that a spin lattice with strong nearest-neighbor interactions and tunable long-range hopping of excitations can
Letscher, Fabian, Petrosyan, David
core   +1 more source

Mobile brain–body imaging data set of indoor treadmill walking and outdoor walking with a visual search task

Data in Brief
To fully understand brain processes in the real world, it is necessary to record and quantitatively analyse brain processes during real world human experiences.
Grant M. Hanada, Marija Kalabic, Daniel P. Ferris   +2 more
doaj   +1 more source

Implementasi Kontrol Mobile Robot menggunakan Sinyal EEG dengan Algoritma Behaviour-based [PDF]

, 2009
Penggunaan sinyal EEG sebagai sinyal kontrol untuk mobile robot adalah hal yang menarik untuk dipelajari. Namun pengolahan sinyal EEG tersebut memerlukan waktu yang relatif lama untuk menghasilkan sinyal perintah ke robot, maka dikhawatirkan robot akan ...
Alasiry, Ali Husein, Ardiansyah, Ardiansyah, Dewantara, Bima Sena Bayu, Setiaji, One, Virnanda, Virnanda   +4 more
core  

Patient-Independent Epileptic Seizure Detection with Reduced EEG Channels and Deep Recurrent Neural Networks

Information
Epileptic seizures affect around 1% of people worldwide and have an enormous impact on the quality of life as well as the health of each patient. Electroencephalography (EEG) is widely used to diagnose epilepsy and detect seizures.
Nadine El-Dajani, Tim Friedrich Lutz Wilhelm, Jan Baumann, Rainer Surges, Bernd T. Meyer   +4 more
doaj   +1 more source

Evaluating the mobile MUSE EEG headband for studying resting state EEG and event-related potentials

, 2023
We examined whether and how tactile EEG experiments could be done through self-assessments by participants at home or through online experiments with consumer-grade mobile EEG devices. As a first step towards this aim, we performed a Flanker task in an online scenario with a MUSE headband and similarly a conventional lab experiment with a standard EEG ...
openaire   +1 more source

The effects of human brainwave signals due to mobile phone radio frequency exposure using artificial neural network / Roshakimah Mohd Isa [PDF]

, 2018
The frequency content of recorded electroencephalogram (EEG) signals plays an important role in describing the signals and also the state of the brain. It is found that the emitted of radiofrequency (RF) radiation energy due to the usage of mobile phones
Mohd Isa, Roshakimah
core  

Target Speaker Detection with Concealed EEG around the Ear

Frontiers in Neuroscience, 2016
Target speaker identification is essential for speech enhancement algorithms in assistive devices aimed towards helping the hearing impaired.
Bojana Mirkovic, Bojana Mirkovic, Martin Georg Bleichner, Martin Georg Bleichner, Maarten De Vos, Stefan Debener, Stefan Debener, Stefan Debener   +7 more
doaj   +1 more source