coherency and sharpness measures by using ica algorithms:an investigation for alzheimer's disease discrimination

BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing

Volumn , Issue , 2009, Pages 468-475

  Sole Casals, Jordi ^a   Vialatte, Francois ^b   Chen, Zhe ^c   Cichocki, Andrzej ^b  

^a UNIVERSITY OF VIC CENTRAL UNIVERSITY OF CATALONIA   (Spain)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Alzheimer disease; BSS; EEG; Feature extraction; ICA

Indexed keywords

ALZHEIMER DISEASE; ALZHEIMER'S DISEASE; BSS; COMPREHENSIVE STUDIES; DECISION PROCESS; EARLY DETECTION; EEG; ELECTROENCEPHALOGRAM SIGNALS; HIGH FREQUENCY BANDS; ICA; ICA ALGORITHMS; NOISE REDUCTIONS; OPTIMUM NUMBER;

APARTMENT HOUSES; BLIND SOURCE SEPARATION; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; FREQUENCY BANDS; HEMODYNAMICS; SIGNAL PROCESSING; SPEECH ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 67650516882     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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