Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation

Artificial Intelligence in Medicine

Volumn 43, Issue 1, 2008, Pages 75-85

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

^a UNIVERSITY OF VALLADOLID   (Spain)

^b UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Algorithm for multiple unknown signals extraction (AMUSE); Alzheimer's disease; Blind source separation (BSS); Magnetoencephalogram (MEG); Median frequency; Spectral entropy

Indexed keywords

BLIND SOURCE SEPARATION; DISEASE CONTROL; MAGNETOENCEPHALOGRAPHY; MAGNETOMETERS;

ALGORITHM FOR MULTIPLE UNKNOWN SIGNALS EXTRACTION (AMUSE); ALZHEIMER'S DISEASE; MEDIAN FREQUENCY; SPECTRAL ENTROPY;

PATIENT TREATMENT;

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; CLINICAL ARTICLE; CONTROL GROUP; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; MAGNETOENCEPHALOGRAPHY; MALE; PATIENT ASSESSMENT; PILOT STUDY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

AGED; ALGORITHMS; ALZHEIMER DISEASE; CASE-CONTROL STUDIES; FEMALE; HUMANS; MAGNETOENCEPHALOGRAPHY; MALE; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 42749096404     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2008.01.001     Document Type: Article

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