Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Dean J Krusienski"'
Autor:
Jeremy Saal, Maarten Christiaan Ottenhoff, Pieter L. Kubben, Albert J. Colon, Sophocles Goulis, Johannes P. van Dijk, Dean J. Krusienski, Christian Herff
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Automatic wheelchairs directly controlled by brain activity could provide autonomy to severely paralyzed individuals. Current approaches mostly rely on non-invasive measures of brain activity and translate individual commands into wheelchair
Externí odkaz:
https://doaj.org/article/58a9422ef7664a97b2f4eaf325fb5d29
Autor:
Pedram Z. Soroush, Christian Herff, Stephanie K. Ries, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski
Publikováno v:
NeuroImage, Vol 269, Iss , Pp 119913- (2023)
Recent studies have demonstrated that it is possible to decode and synthesize various aspects of acoustic speech directly from intracranial measurements of electrophysiological brain activity. In order to continue progressing toward the development o
Externí odkaz:
https://doaj.org/article/bfa3595a6efd440b8cbd03f15e0294cd
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2783-2792 (2022)
Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate deep learning into the processing pipeline. These models are typically opaque and can require significant computational resources for training and execution. A d
Externí odkaz:
https://doaj.org/article/9574530b262e459282786a97cbc6c465
Autor:
Srdjan Lesaja, Morgan Stuart, Jerry J. Shih, Pedram Z. Soroush, Tanja Schultz, Milos Manic, Dean J. Krusienski
Publikováno v:
IEEE Access, Vol 10, Pp 133526-133538 (2022)
Neuroprosthetics have demonstrated the potential to decode speech from intracranial brain signals, and hold promise for one day returning the ability to speak to those who have lost it. However, data in this domain is scarce, highly variable, and cos
Externí odkaz:
https://doaj.org/article/2b6f309118cf441bb49bf69379164351
Autor:
Miguel Angrick, Maarten C. Ottenhoff, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Sophocles Goulis, Jeremy Saal, Albert J. Colon, Louis Wagner, Dean J. Krusienski, Pieter L. Kubben, Tanja Schultz, Christian Herff
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Miguel Angrick et al. develop an intracranial EEG-based method to decode imagined speech from a human patient and translate it into audible speech in real-time. This report presents an important proof of concept that acoustic output can be reconstruc
Externí odkaz:
https://doaj.org/article/6889a47970bf4c32a7cfd367930fc291
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Externí odkaz:
https://doaj.org/article/07d0f1fee35240a3ac67c60c48a96ff3
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Stereotactic electroencephalogaphy (sEEG) utilizes localized, penetrating depth electrodes to measure electrophysiological brain activity. It is most commonly used in the identification of epileptogenic zones in cases of refractory epilepsy. The impl
Externí odkaz:
https://doaj.org/article/c2394d70b565432cac0d9dbd89484fdf
Autor:
Christoph Tremmel, Christian Herff, Tetsuya Sato, Krzysztof Rechowicz, Yusuke Yamani, Dean J. Krusienski
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is unlimited potential for applications ranging from education, to training, to entertainment, to fitness and beyond. As these interfaces continue to evolve, p
Externí odkaz:
https://doaj.org/article/9c8865e2652042f8ba64ef7eeb86261a
Autor:
Christian Herff, Lorenz Diener, Miguel Angrick, Emily Mugler, Matthew C. Tate, Matthew A. Goldrick, Dean J. Krusienski, Marc W. Slutzky, Tanja Schultz
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Neural interfaces that directly produce intelligible speech from brain activity would allow people with severe impairment from neurological disorders to communicate more naturally. Here, we record neural population activity in motor, premotor and inf
Externí odkaz:
https://doaj.org/article/4ff0e725610c4371b510166f5cf44000
Publikováno v:
Brain Comput Interfaces (Abingdon)