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Tejaswy Pailla
University of California, San Diego
4Publications
2H-index
10Citations
Publications 4
Newest
Published on Jul 25, 2019in Journal of Neural Engineering4.55
Paolo Gabriel1
Estimated H-index: 1
,
Kenny Chen1
Estimated H-index: 1
+ 11 AuthorsThomas Thesen24
Estimated H-index: 24
Published on Feb 1, 2019in Journal of Neural Engineering4.55
Tejaswy Pailla2
Estimated H-index: 2
(UCSD: University of California, San Diego),
Kai J. Miller39
Estimated H-index: 39
(Stanford University),
Vikash Gilja21
Estimated H-index: 21
(UCSD: University of California, San Diego)
Published on Oct 1, 2017in Advanced Healthcare Materials6.27
Kaiping Wang1
Estimated H-index: 1
(UCSD: University of California, San Diego),
Udit Parekh2
Estimated H-index: 2
(UCSD: University of California, San Diego)
+ 3 AuthorsTse Nga Ng20
Estimated H-index: 20
(UCSD: University of California, San Diego)
The multichannel concentric-ring electrodes are stencil printed on stretchable elastomers modified to improve adhesion to skin and minimize motion artifacts for electrophysiological recordings of electroencephalography, electromyography, and electrocardiography. These dry electrodes with a poly(3,4-ethylenedioxythiophene) polystyrene sulfonate interface layer are optimized to show lower noise level than that of commercial gel disc electrodes. The concentric ring geometry enables Laplacian filter...
Published on Aug 1, 2016 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Tejaswy Pailla2
Estimated H-index: 2
(UCSD: University of California, San Diego),
Werner Jiang1
Estimated H-index: 1
(UCSD: University of California, San Diego)
+ 2 AuthorsVikash Gilja21
Estimated H-index: 21
(UCSD: University of California, San Diego)
Brain Computer Interfaces (BCIs) assist individuals with motor disabilities by enabling them to control prosthetic devices with their neural activity. Performance of closed-loop BCI systems can be improved by using design strategies that leverage structured and task-relevant neural activity. We use data from high density electrocorticography (ECoG) grids implanted in three subjects to study sensory-motor activity during an instructed speech task in which the subjects vocalized three cardinal vow...
Published on Aug 1, 2016 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Werner Jiang1
Estimated H-index: 1
(UCSD: University of California, San Diego),
Tejaswy Pailla2
Estimated H-index: 2
(UCSD: University of California, San Diego)
+ 2 AuthorsVikash Gilja21
Estimated H-index: 21
(UCSD: University of California, San Diego)
Brain-machine interfaces (BMIs) have great potential for applications that restore and assist communication for paralyzed individuals. Recently, BMIs decoding speech have gained considerable attention due to their potential for high information transfer rates. In this study, we propose a novel decoding approach based on hidden Markov models (HMMs) that uses the timing of neural signal changes to decode speech. We tested the decoder's performance by predicting vowels from electrocorticographic (E...
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