EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease

Clinical Neurophysiology

Volumn 116, Issue 3, 2005, Pages 729-737

  Cichocki, Andrzej ^a,b   Shishkin, Sergei L ^a   Musha, Toshimitsu ^c   Leonowicz, Zbigniew ^a,d   Asada, Takashi ^e   Kurachi, Takayoshi ^c  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^c Brain Functions Laboratory Inc   (Japan)

^d WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^e UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

Alzheimer's disease; AMUSE; Blind Source Separation; Diagnosis; EEG; Filtering

Indexed keywords

AGED; ALGORITHM; ALPHA RHYTHM; ALZHEIMER DISEASE; ANALYTIC METHOD; ARTICLE; ARTIFACT; BETA RHYTHM; BLIND SOURCE SEPARATION; CLINICAL ARTICLE; COGNITIVE DEFECT; CONTROLLED STUDY; DATA ANALYSIS; DELTA RHYTHM; DISCRIMINANT ANALYSIS; DISEASE COURSE; DISEASE SEVERITY; ELECTROENCEPHALOGRAPHY; HUMAN; NEUROLOGIC DISEASE; PATIENT; PATIENT CODING; PREDICTION; PRIORITY JOURNAL; RECORDING; SENSITIVITY AND SPECIFICITY; TECHNIQUE; THETA RHYTHM; TIME; VALIDATION PROCESS;

EID: 13844297492     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2004.09.017     Document Type: Article

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