Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Virginia R. de Sa"'
Autor:
Virginia R. de Sa, Hooman Nezamfar, Büşra Tuğçe Susam, Kenneth D. Craig, Murat Akcakaya, Damaris Diaz, Jeannie S. Huang, Xiaojing Xu, Matthew S. Goodwin, Nathan T. Riek
Publikováno v:
IEEE Transactions on Biomedical Engineering. 69:422-431
Pain assessment in children continues to challenge clinicians and researchers, as subjective experiences of pain require inference through observable behaviors, both involuntary and deliberate. The presented approach supplements the subjective self-r
Publikováno v:
Frontiers in Human Neuroscience, Vol 12 (2018)
We used pattern classifiers to extract features related to recognition memory retrieval from the temporal information in single-trial electroencephalography (EEG) data during attempted memory retrieval. Two-class classification was conducted on corre
Externí odkaz:
https://doaj.org/article/f010364f41594557af831b2065a7f57e
Publikováno v:
2022 10th International Winter Conference on Brain-Computer Interface (BCI).
Autor:
Xiaojing, Xu, Virginia R, de Sa
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Pain is a personal, subjective experience, and the current gold standard to evaluate pain is the Visual Analog Scale (VAS), which is self-reported at the video level. One problem with the current automated pain detection systems is that the learned m
Autor:
David eTingley, Andrew S Alexander, Sean eKolbu, Virginia R de Sa, Andrea A Chiba, Douglas A Nitz
Publikováno v:
Frontiers in Systems Neuroscience, Vol 8 (2014)
Cortically projecting basal forebrain neurons play a critical role in learning and attention, and their degeneration accompanies age-related impairments in cognition. Despite the impressive anatomical and cell-type complexity of this system, currentl
Externí odkaz:
https://doaj.org/article/50a8360caafa4908b151d2849ed68d42
Autor:
Priya D Velu, Timothy eMullen, Eunho eNoh, Matthew eValdivia, Howard ePoizner, Yoram eBaram, Virginia R de Sa
Publikováno v:
Frontiers in Neurology, Vol 4 (2014)
Freezing of gait (FOG) is an elusive phenomenon that debilitates a large number of Parkinson’s disease (PD) patients regardless of stage of disease, medication status, or DBS implantation. Sensory cues, especially visual feedback cues, have been sh
Externí odkaz:
https://doaj.org/article/04cf587cb20543d0a9f2d2d369cf7944
Autor:
Mahta Mousavi, Virginia R. de Sa
Publikováno v:
NER
Brain-computer interface (BCI) systems read and infer the user brain activity directly from the brain providing a means of communication and rehabilitation for patients in need. However, brain signals are known to be non-stationary and existing syste
Autor:
Priya eVelu, Virginia R de Sa
Publikováno v:
Frontiers in Neuroscience, Vol 7 (2013)
Neuroimaging studies provide evidence of cortical involvement immediately before and during gait and during gait-related behaviors such as stepping in place or motor imagery of gait. Here we attempt to perform single-trial classification of gait inte
Externí odkaz:
https://doaj.org/article/ef842eb046fc4500b0d0dbacec38a9d9
Autor:
Virginia R. de Sa, Xiaojing Xu
Publikováno v:
FG
Although pain is widely recognized to be a multidimensional experience, it is typically measured by unidimensional patient self-reported visual analog scale (VAS). However, self-reported pain is subjective, difficult to interpret and sometimes imposs
Autor:
Mahta Mousavi, Virginia R. de Sa
Publikováno v:
EMBC
Brain-computer interface (BCI) systems are proposed as a means of communication for locked-in patients. One common BCI paradigm is motor imagery in which the user controls a BCI by imagining movements of different body parts. It is known that imagini