Browse by ORCID

Group by: Item Type | No Grouping
Number of items: 2.

Journal article

MAJUMDAR, S., AL-HABAIBEH, A., OMURTAG, A., SHAKMAK, B. and ASRAR, M., 2023. A novel approach for communicating with patients suffering from completely locked-in-syndrome (CLIS) via thoughts: brain computer interface system using EEG signals and artificial intelligence. Neuroscience Informatics, 3 (2): 100126. ISSN 2772-5286

Thesis

MAJUMDAR, S., 2024. The use of artificial intelligence to identify thought messages via non-invasive EEG brain signals. PhD, Nottingham Trent University.

This list was generated on Thu Jul 17 10:41:08 2025 UTC.