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pro vyhledávání: '"Xinlin J. Chen"'
Autor:
Boyla O. Mainsah, Priyesh A. Patel, Xinlin J. Chen, Cameron Olsen, Leslie M. Collins, Ravi Karra
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 6 (2021)
Background Although technological advances to pump design have improved survival, left ventricular assist device (LVAD) recipients experience variable improvements in quality of life. Methods for optimizing LVAD support to improve quality of life are
Externí odkaz:
https://doaj.org/article/b7d2c51c9d0d455bacc8c3f025fe35db
Autor:
Emma T. LaPorte, Boyla O. Mainsah, Priyesh A. Patel, Ravi Karra, Cameron Olsen, Xinlin J. Chen, Leslie M. Collins
Publikováno v:
IEEE Transactions on Biomedical Engineering. 68:3009-3018
Objective: LVADs are surgically implanted mechanical pumps that improve survival rates of individuals with advanced heart failure. LVAD therapy is associated with high morbidity, which can be partially attributed to challenges with detecting LVAD com
Publikováno v:
Conf Proc IEEE Int Conf Syst Man Cybern
Brain-computer interfaces (BCIs), such as the P300 speller, can provide a means of communication for individuals with severe neuromuscular limitations. BCIs interpret electroencephalography (EEG) signals in order to translate embedded information abo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a3c30580db2830468dcc3825bc79e7
https://europepmc.org/articles/PMC9910722/
https://europepmc.org/articles/PMC9910722/
Publikováno v:
Annu Int Conf IEEE Eng Med Biol Soc
Stimulus-driven brain-computer interfaces (BCIs), such as the P300 speller, rely on using sensory stimuli to elicit specific neural signal components called event-related potentials (ERPs) to control external devices. However, psychophysical factors,
Publikováno v:
CinC
The left ventricular assist device (LVAD) has emerged as a bridge or alternative to heart transplant in individuals with advanced heart failure. However, the LVAD recipient population currently faces high rehospitalization rates. Remote analysis of p