Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Matthew S Fifer"'
Autor:
Katherine E. Kabotyanski, Han G. Yi, Rahul Hingorani, Brian S. Robinson, Hannah P. Cowley, Matthew S. Fifer, Brock A. Wester, Bishal Lamichhane, Ashutosh Sabharwal, Anusha B. Allawala, Sameer V. Rajesh, Nabeel Diab, Raissa K. Mathura, Victoria Pirtle, Joshua Adkinson, Andrew J. Watrous, Eleonora Bartoli, Jiayang Xiao, Garrett P. Banks, Sanjay J. Mathew, Wayne K. Goodman, Xaq Pitkow, Nader Pouratian, Benjamin Y. Hayden, Nicole R. Provenza, Sameer A. Sheth
Publikováno v:
Brain Stimulation, Vol 17, Iss 6, Pp 1208-1212 (2024)
Externí odkaz:
https://doaj.org/article/bb7ae1f6ce2a4fac85bdb6d41ef489e5
Autor:
Daniel N. Candrea, Samyak Shah, Shiyu Luo, Miguel Angrick, Qinwan Rabbani, Christopher Coogan, Griffin W. Milsap, Kevin C. Nathan, Brock A. Wester, William S. Anderson, Kathryn R. Rosenblatt, Alpa Uchil, Lora Clawson, Nicholas J. Maragakis, Mariska J. Vansteensel, Francesco V. Tenore, Nicolas F. Ramsey, Matthew S. Fifer, Nathan E. Crone
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract Background Brain-computer interfaces (BCIs) can restore communication for movement- and/or speech-impaired individuals by enabling neural control of computer typing applications. Single command click detectors provide a basic yet highly func
Externí odkaz:
https://doaj.org/article/5c5b61fc56574dd6b4b5cc7132cd8687
Autor:
Miguel Angrick, Shiyu Luo, Qinwan Rabbani, Daniel N. Candrea, Samyak Shah, Griffin W. Milsap, William S. Anderson, Chad R. Gordon, Kathryn R. Rosenblatt, Lora Clawson, Donna C. Tippett, Nicholas Maragakis, Francesco V. Tenore, Matthew S. Fifer, Hynek Hermansky, Nick F. Ramsey, Nathan E. Crone
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Brain–computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity recorded with intracranial electrodes may pave the way toward novel communication interfaces for people who have lost their ability to speak, or w
Externí odkaz:
https://doaj.org/article/09adf68dca834fb1a4a984cc35930b65
Autor:
Guy Hotson, Matthew S Fifer, Soumyadipta Acharya, Heather L Benz, William S Anderson, Nitish V Thakor, Nathan E Crone
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e115236 (2014)
In patients with unilateral upper limb paralysis from strokes and other brain lesions, strategies for functional recovery may eventually include brain-machine interfaces (BMIs) using control signals from residual sensorimotor systems in the damaged h
Externí odkaz:
https://doaj.org/article/3267b128f65242b1ba2071aabc613845
Autor:
Shiyu Luo, Miguel Angrick, Christopher Coogan, Daniel N. Candrea, Kimberley Wyse‐Sookoo, Samyak Shah, Qinwan Rabbani, Griffin W. Milsap, Alexander R. Weiss, William S. Anderson, Donna C. Tippett, Nicholas J. Maragakis, Lora L. Clawson, Mariska J. Vansteensel, Brock A. Wester, Francesco V. Tenore, Hynek Hermansky, Matthew S. Fifer, Nick F. Ramsey, Nathan E. Crone
Publikováno v:
Advanced Science, Vol 10, Iss 35, Pp n/a-n/a (2023)
Abstract Brain‐computer interfaces (BCIs) can be used to control assistive devices by patients with neurological disorders like amyotrophic lateral sclerosis (ALS) that limit speech and movement. For assistive control, it is desirable for BCI syste
Externí odkaz:
https://doaj.org/article/c2b5c3fff5c442deab0c55d497c7f907
Autor:
Robert W. Nickl, Manuel A. Anaya, Tessy M. Thomas, Matthew S. Fifer, Daniel N. Candrea, David P. McMullen, Margaret C. Thompson, Luke E. Osborn, William S. Anderson, Brock A. Wester, Francesco V. Tenore, Nathan E. Crone, Gabriela L. Cantarero, Pablo A. Celnik
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Understanding the cortical representations of movements and their stability can shed light on improved brain-machine interface (BMI) approaches to decode these representations without frequent recalibration. Here, we characterize the spatial
Externí odkaz:
https://doaj.org/article/6234b1aec87c4b3b9697c5cadccb537f
Autor:
David A. Handelman, Luke E. Osborn, Tessy M. Thomas, Andrew R. Badger, Margaret Thompson, Robert W. Nickl, Manuel A. Anaya, Jared M. Wormley, Gabriela L. Cantarero, David McMullen, Nathan E. Crone, Brock Wester, Pablo A. Celnik, Matthew S. Fifer, Francesco V. Tenore
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Advances in intelligent robotic systems and brain-machine interfaces (BMI) have helped restore functionality and independence to individuals living with sensorimotor deficits; however, tasks requiring bimanual coordination and fine manipulation conti
Externí odkaz:
https://doaj.org/article/b632445cc2124006bbcbf5eb1e2bbcd8
Autor:
Luke E. Osborn, Breanne Christie, Adam C.G. Crego, Dayann D'almeida, David P. McMullen, Robert W. Nickl, Ambarish S. Pawar, Jeremy D. Brown, Brock A. Wester, Chaz Firestone, Pablo A. Celnik, Matthew S. Fifer, Francesco V. Tenore
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36bb0a4a8b565eee017f8ca9cce58543
https://doi.org/10.1109/ner52421.2023.10123891
https://doi.org/10.1109/ner52421.2023.10123891
Autor:
Matthew S. Fifer, David P. McMullen, Luke E. Osborn, Tessy M. Thomas, Breanne Christie, Robert W. Nickl, Daniel N. Candrea, Eric A. Pohlmeyer, Margaret C. Thompson, Manuel A. Anaya, Wouter Schellekens, Nick F. Ramsey, Sliman J. Bensmaia, William S. Anderson, Brock A. Wester, Nathan E. Crone, Pablo A. Celnik, Gabriela L. Cantarero, Francesco V. Tenore
Publikováno v:
Neurology. 98:e679-e687
Background and ObjectivesThe restoration of touch to fingers and fingertips is critical to achieving dexterous neuroprosthetic control for individuals with sensorimotor dysfunction. However, localized fingertip sensations have not been evoked via int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::031686b275c938eaa40a52f2f054fadd
https://doi.org/10.1212/wnl.0000000000013173
https://doi.org/10.1212/wnl.0000000000013173
Autor:
Gyorgy Levay, Nitish V. Thakor, Joseph L. Betthauser, Rahul R. Kaliki, Matthew S. Fifer, Shain G. Bannowsky, John T. Krall
Publikováno v:
IEEE Transactions on Biomedical Engineering. 67:1707-1717
Prediction of movement intentions from electromyographic (EMG) signals is typically performed with a pattern recognition approach, wherein a short dataframe of raw EMG is compressed into an instantaneous feature-encoding that is meaningful for classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e61bb60e985bf6506c6cccab74d14bde
https://doi.org/10.1109/tbme.2019.2943309
https://doi.org/10.1109/tbme.2019.2943309