Výsledky vyhledávání - "Theta Rhythm/classification"

A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements

Autoři: Melissant, Co Ypma, Alexander Frietman, Edward E E a další

Zdroj: Melissant, C, Ypma, A, Frietman, E E E & Stam, C J 2005, 'A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements', Artificial Intelligence in Medicine, vol. 33, no. 3, pp. 209-222. https://doi.org/10.1016/j.artmed.2004.07.003

Témata: Alzheimer Disease/diagnosis, Automated, Male, Time Factors, 02 engineering and technology, Pattern Recognition, Theta Rhythm/classification, Pattern Recognition, Automated, 03 medical and health sciences, Computer-Assisted, 0302 clinical medicine, Alzheimer Disease, 0202 electrical engineering, electronic engineering, information engineering, Humans, Theta Rhythm, Memory Disorders, Electroencephalography, Signal Processing, Computer-Assisted, Neural Networks (Computer), Middle Aged, 3. Good health, Memory Disorders/diagnosis, Signal Processing, Female, Neural Networks, Computer, Electroencephalography/classification, Artifacts, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/15811786
https://dl.acm.org/citation.cfm?id=2232780
http://www.tnw.tudelft.nl/fileadmin/Faculteit/TNW/Over_de_faculteit/Afdelingen/Imaging_Science_and_Technology/Research/Research_Groups/Quantitative_Imaging/Publications/List_Publications/doc/Melissant.pdf
http://www.ncbi.nlm.nih.gov/pubmed/15811786
https://pubmed.ncbi.nlm.nih.gov/15811786/
https://europepmc.org/abstract/MED/15811786
https://dblp.uni-trier.de/db/journals/artmed/artmed33.html#MelissantYFS05
https://research.vumc.nl/en/publications/377c4d6b-744e-42ee-891b-0c6426b8aabb
https://hdl.handle.net/1871/26657