Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alexandra-Maria Tăuţan"'
Publikováno v:
Biomedizinische Technik. Biomedical engineeringReferences. 66(2)
Methods developed for automatic sleep stage detection make use of large amounts of data in the form of polysomnographic (PSG) recordings to build predictive models. In this study, we investigate the effect of several dimensionality reduction techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::130828e02a47a13cd499cbff1b5af220
https://pubmed.ncbi.nlm.nih.gov/33048831
https://pubmed.ncbi.nlm.nih.gov/33048831
Publikováno v:
Artificial Intelligence in Medicine. 117:102081
Neurodegenerative diseases have shown an increasing incidence in the older population in recent years. A significant amount of research has been conducted to characterize these diseases. Computational methods, and particularly machine learning techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd15788da417dd4aa06193d75112a35d
https://doi.org/10.1016/j.artmed.2021.102081
https://doi.org/10.1016/j.artmed.2021.102081
Autor:
Rodica Strungaru, G. Mihaela Neagu, Bogdan Hurezeanu, Alexandra-Maria Tăuţan, Ioana Mândruţă, Dragoş Daniel Ţarălungă, Ovidiu-Alexandru Băjenaru
Publikováno v:
IFMBE Proceedings ISBN: 9789811090370
Automatic detection of epileptic seizures has been extensively studied and documented in literature. However, the topic continues to be of interest as reliable algorithms for general use are still being investigated. The challenge comes from the comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c57930eb50b0c70a343d53e9a476099
https://doi.org/10.1007/978-981-10-9038-7_74
https://doi.org/10.1007/978-981-10-9038-7_74
