Early detection of Alzheimer's disease by blind source separation, time frequency representation, and bump modeling of EEG signals

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3696 LNCS, Issue , 2005, Pages 683-692

  Vialatte, François ^a   Cichocki, Andrzej ^b   Dreyfus, Gérard ^a   Musha, Toshimitsu ^c   Shishkin, Sergei L ^b   Gervais, Rémi ^d  

^a CNRS   (France)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c Brain Functions Laboratory Inc   (Japan)

^d INSTITUT DES SCIENCES COGNITIVES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; DIAGNOSIS; ELECTROENCEPHALOGRAPHY; NEURAL NETWORKS; NEUROLOGY; SIGNAL PROCESSING;

ALZHEIMER'S DISEASE; MILD COGNITIVE IMPAIRMENT (MCI); SPATIO-TEMPORAL COMPONENTS; TIME FREQUENCY REPRESENTATION;

DISEASES;

EID: 33646174460     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11550822_106     Document Type: Conference Paper

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