Magnetoencephalogram blind source separation and component selection procedure to improve the diagnosis of Alzheimer's disease patients

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5437-5440

  Escudero, Javier ^a,b   Hornero, Roberto ^a,b   Abasólo, Daniel ^a,b   Fernández, Alberto ^c   Poza, Jesús ^a,b  

^a IEEE

^b UNIVERSITY OF VALLADOLID   (Spain)

^c UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTERIZATION; DISCRIMINANT ANALYSIS; MAGNETOENCEPHALOGRAPHY; PATIENT TREATMENT;

ALZHEIMER'S DISEASE (AD); MAGNETOENCEPHALOGRAM; SIGNALS EXTRACTION; SPECTRAL ENTROPY;

DISEASES;

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; FEMALE; HUMAN; MAGNETOENCEPHALOGRAPHY; MALE; METHODOLOGY; PATHOPHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGED; ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MAGNETOENCEPHALOGRAPHY; MALE; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 57649180520     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353575     Document Type: Conference Paper

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