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Berdakh Abibullaev

Laboratory for Noninvasive Brain-Machine Interface Systems,
Department of Electrical and Computer Engineering,
Laboratory for Noninvasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering

University of Houston

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PUBLICATIONS

A new QRS detection method using wavelets and artificial neural networks.

Journal of medical systems Aug, 2011 | Pubmed ID: 20703782

Seizure detection in temporal lobe epileptic EEGs using the best basis wavelet functions.

Journal of medical systems Aug, 2010 | Pubmed ID: 20703931

Decision support algorithm for diagnosis of ADHD using electroencephalograms.

Journal of medical systems Aug, 2012 | Pubmed ID: 21671069

Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms.

Medical engineering & physics Dec, 2012 | Pubmed ID: 22310482

Minimizing inter-subject variability in fNIRS-based brain-computer interfaces via multiple-kernel support vector learning.

Medical engineering & physics Dec, 2013 | Pubmed ID: 24054981

Cortical activation pattern for grasping during observation, imagery, execution, FES, and observation-FES integrated BCI: an fNIRS pilot study.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference , 2013 | Pubmed ID: 24111192

EEG Source Imaging in Partial Epilepsy in Comparison with Presurgical Evaluation and Magnetoencephalography.

Journal of clinical neurology (Seoul, Korea) Oct, 2015 | Pubmed ID: 25749824

INSTITUTIONS

University of Houston

JOVE ARTICLES

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Jesus G. Cruz-Garza¹,

Zachery R. Hernandez¹,

Teresa Tse^1,2,3,

Eunice Caducoy^1,3,

Berdakh Abibullaev¹,

Jose L. Contreras-Vidal^1,2

¹Laboratory for Noninvasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering, University of Houston,

²Department of Biomedical Engineering, University of Houston,

³Department of Biology and Biochemistry, University of Houston

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Berdakh Abibullaev

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Laboratory for Noninvasive Brain-Machine Interface Systems,Department of Electrical and Computer Engineering,Laboratory for Noninvasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering

University of Houston

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Laboratory for Noninvasive Brain-Machine Interface Systems,
Department of Electrical and Computer Engineering,
Laboratory for Noninvasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering