Application of quantitative methods of signal processing to automatic classification of long-term EEG records

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

Volumn 3337, Issue , 2004, Pages 333-343

  Rieger, Josef ^a   Lhotska, Lenka ^a   Krajca, Vladimir ^b   Matousek, Milos ^c  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b UNIVERSITY HOSPITAL BULOVKA   (Czech Republic)

^c NATIONAL INSTITUTE OF MENTAL HEALTH   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FREQUENCY DOMAIN ANALYSIS; SIGNAL PROCESSING; SLEEP RESEARCH; TIME DOMAIN ANALYSIS;

ADAPTIVE SEGMENTATION; AUTOMATIC CLASSIFICATION; CENTRAL MOMENTS; EEG RECORDING; FREQUENCY DOMAINS; NEAREST NEIGHBOUR; QUANTITATIVE METHOD; TIME AND FREQUENCY DOMAINS;

BIOMEDICAL SIGNAL PROCESSING;

EID: 35048825796     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30547-7_34     Document Type: Article

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