Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohammad Badri Ahmadi"'
Autor:
Hamid Fekri Azgomi, Alexander Craik, Sankalp Parekh, Joseph T. Francis, Alexander G. Steele, Jose L. Contreras-Vidal, Rose T. Faghih, Sandipan Pati, Mohammad Badri Ahmadi
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Real-time continuous tracking of seizure state is necessary to develop feedback neuromodulation therapy that can prevent or terminate a seizure early. Due to its high temporal resolution, high scalp coverage, and non-invasive applicability, electroen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f59d61e56d013105be5bd11813bc8d0
https://pubmed.ncbi.nlm.nih.gov/34543199
https://pubmed.ncbi.nlm.nih.gov/34543199
Autor:
Hamid Fekri Azgomi, Mohammad Badri Ahmadi, Jose L. Contreras-Vidal, Joseph T. Francis, Rose T. Faghih, Alexander Craik
Publikováno v:
ACSSC
Accurate and cost-effective seizure severity tracking is an important step towards limiting the negative effects of seizures in epileptic patients. Electroencephalography (EEG) is employed as a means to track seizures due to its high temporal resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a011b4df5581d3903b4b13c9ddca468
https://doi.org/10.1109/ieeeconf44664.2019.9048990
https://doi.org/10.1109/ieeeconf44664.2019.9048990
Autor:
Yingchun Zhang, Paul E. Schulz, Sudhakar Selvaraj, Pietro Antonio Cicalese, Mohammad Badri Ahmadi, Chushan Wang, Joseph T. Francis, Rihui Li
Publikováno v:
J Neurosci Methods
Background Alzheimer's disease (AD) is projected to become one of the most expensive diseases in modern history, and yet diagnostic uncertainties exist that can only be confirmed by postmortem brain examination. Machine Learning (ML) algorithms have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfab85bef447c1ccee0ec678f0f0a16f
https://doi.org/10.1016/j.jneumeth.2020.108618
https://doi.org/10.1016/j.jneumeth.2020.108618
Autor:
Junmo An, Taruna Yadav, Joseph T. Francis, Mohammad Badri Ahmadi, Venkata S Aditya Tarigoppula
Publikováno v:
EMBC
We are developing an autonomously updating brain machine interface (BMI) utilizing reinforcement learning principles. One aspect of this system is a neural critic that determines reward expectations from neural activity. This critic is then used to u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46392e5d56685c94fe7b4243a549a881
https://doi.org/10.1109/embc.2018.8512274
https://doi.org/10.1109/embc.2018.8512274