Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Nicholas V. Annetta"'
Autor:
Mingming Zhang, Michael A. Schwemmer, Jordyn E. Ting, Connor E. Majstorovic, David A. Friedenberg, Marcia A. Bockbrader, W. Jerry Mysiw, Ali R. Rezai, Nicholas V. Annetta, Chad E. Bouton, Herbert S. Bresler, Gaurav Sharma
Publikováno v:
Bioelectronic Medicine, Vol 4, Iss 1, Pp 1-14 (2018)
Abstract Background Understanding the long-term behavior of intracortically-recorded signals is essential for improving the performance of Brain Computer Interfaces. However, few studies have systematically investigated chronic neural recordings from
Externí odkaz:
https://doaj.org/article/a4caca485fdf4076887d319d5a0cf865
Autor:
David A. Friedenberg, Michael A. Schwemmer, Andrew J. Landgraf, Nicholas V. Annetta, Marcia A. Bockbrader, Chad E. Bouton, Mingming Zhang, Ali R. Rezai, W. Jerry Mysiw, Herbert S. Bresler, Gaurav Sharma
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Abstract Neuroprosthetics that combine a brain computer interface (BCI) with functional electrical stimulation (FES) can restore voluntary control of a patients’ own paralyzed limbs. To date, human studies have demonstrated an “all-or-none” typ
Externí odkaz:
https://doaj.org/article/d59a282e6e5741bd9dc9de34844ee611
Autor:
Samuel C. Colachis, Marcie A. Bockbrader, Mingming Zhang, David A. Friedenberg, Nicholas V. Annetta, Michael A. Schwemmer, Nicholas D. Skomrock, Walter J. Mysiw, Ali R. Rezai, Herbert S. Bresler, Gaurav Sharma
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Individuals with tetraplegia identify restoration of hand function as a critical, unmet need to regain their independence and improve quality of life. Brain-Computer Interface (BCI)-controlled Functional Electrical Stimulation (FES) technology addres
Externí odkaz:
https://doaj.org/article/be880f0356b649518a700aae1d8ef689
Autor:
Nicholas V. Annetta, Jordyn E Ting, Dario Farina, Jennifer L. Collinger, Alessandro Del Vecchio, Douglas J. Weber, Samuel C. Colachis, Nikhil Verma, Devapratim Sarma
Publikováno v:
J Neurophysiol
Motor neurons convey information about motor intent that can be extracted and interpreted to control assistive devices. However, most methods for measuring the firing activity of single neurons rely on implanted microelectrodes. Although intracortica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cabfea2f4546761584cc46c9e799cc5
https://europepmc.org/articles/PMC8715052/
https://europepmc.org/articles/PMC8715052/
Autor:
Dario Farina, Jordyn E Ting, Devapratim Sarma, Jennifer L. Collinger, Douglas J. Weber, Nikhil Verma, Nicholas V. Annetta, Alessandro Del Vecchio
Publikováno v:
Integrated Sensors for Biological and Neural Sensing
Action potentials generated by motor neurons in the brain and spinal cord carry information about intended and ongoing movement. These biopotentials are typically measured with sensors placed in close proximity to the neurons, providing a direct read
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042c712b3b07262a75fe8afe3ee38b7f
http://hdl.handle.net/10044/1/90712
http://hdl.handle.net/10044/1/90712
Autor:
Jordyn E Ting, Dario Farina, Alessandro Del Vecchio, Douglas J. Weber, Jennifer L. Collinger, Samuel C. Colachis, Nicholas V. Annetta, Devapratim Sarma
Motor neurons in the brain and spinal cord convey information about motor intent that can be extracted and interpreted to control assistive devices, such as computers, wheelchairs, and robotic manipulators. However, most methods for measuring the fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca7f95dd01b59e51b48317d8eef68676
https://doi.org/10.1101/2021.02.24.21250962
https://doi.org/10.1101/2021.02.24.21250962
Long-term intracortical microelectrode array performance in a human: a 5 year retrospective analysis
Autor:
Collin F. Dunlap, Samuel C. Colachis, Sanjay M. Tamrakar, David A. Friedenberg, Nicholas V. Annetta, Marcia A. Bockbrader
Publikováno v:
Journal of neural engineering. 18(4)
Objective. Brain-computer interfaces (BCIs) that record neural activity using intracortical microelectrode arrays (MEAs) have shown promise for mitigating disability associated with neurological injuries and disorders. While the chronic performance a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b3dcde14980a702433607236d21e834
https://pubmed.ncbi.nlm.nih.gov/34352736
https://pubmed.ncbi.nlm.nih.gov/34352736
Autor:
Gaurav Sharma, Patrick D. Ganzer, Kaitlyn Eipel, Samuel C. Colachis, Dimitar Petrov Filev, Luke Bird, Robert Franklin, Marcus Gerhardt, Ali Hassani, Marcia A. Bockbrader, Aniruddh Ravindran, Collin F. Dunlap, Florian Solzbacher, Nicholas V. Annetta, David A. Friedenberg, Ian Burkhart
Publikováno v:
SMC
Objective: Individuals with paralysis often have mobility and dexterity impairments that limit their ability to operate motor vehicle controls. Integrating brain-machine interface (BMI) neurotechnology with vehicle control systems (VCS) provides a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cfcfc506e7bde92f30d70917f2947fe
https://doi.org/10.1109/smc.2019.8914317
https://doi.org/10.1109/smc.2019.8914317
Publikováno v:
Journal of Applied Polymer Science. 137:48998
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2a1947f4164a15c73149f0edd93373b
https://doi.org/10.1002/app.48998
https://doi.org/10.1002/app.48998
Autor:
Jordyn E Ting, Gaurav Sharma, Marcia A. Bockbrader, Mingming Zhang, Connor Majstorovic, Nicholas V. Annetta, Herbert S. Bresler, David A. Friedenberg, Michael A. Schwemmer, W. Jerry Mysiw, Ali R. Rezai, Chad E. Bouton
Publikováno v:
Bioelectronic Medicine
Bioelectronic Medicine, Vol 4, Iss 1, Pp 1-14 (2018)
Bioelectronic Medicine, Vol 4, Iss 1, Pp 1-14 (2018)
Background Understanding the long-term behavior of intracortically-recorded signals is essential for improving the performance of Brain Computer Interfaces. However, few studies have systematically investigated chronic neural recordings from an impla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcc78878190218f7f172eef1f7d300f6
https://doi.org/10.1186/s42234-018-0011-x
https://doi.org/10.1186/s42234-018-0011-x