How to apply nonlinear subspace techniques to univariate biomedical time series

IEEE Transactions on Instrumentation and Measurement

Volumn 58, Issue 8, 2009, Pages 2433-2443

  Teixeira, A R ^a   Tome A M ^a   Bohm M ^b   Puntonet, Carlos G ^c   Lang, Elmar W ^b  

^a UNIVERSITY OF AVEIRO   (Portugal)

^b UNIVERSITY OF REGENSBURG   (Germany)

^c UNIVERSITY OF GRANADA   (Spain)

Author keywords

Electroencephalogram (EEG); Electrooculogram (EOG); Kernel principal component analysis (KPCA); Local singular spectrum analysis (SSA); Removing artifacts; Subspace techniques

Indexed keywords

ELECTROENCEPHALOGRAM (EEG); ELECTROOCULOGRAM (EOG); KERNEL PRINCIPAL COMPONENT ANALYSIS (KPCA); LOCAL SINGULAR SPECTRUM ANALYSIS (SSA); REMOVING ARTIFACTS; SUBSPACE TECHNIQUES;

BIOELECTRIC PHENOMENA; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; INTERFEROMETRY; NONLINEAR ANALYSIS; OPTICAL SENSORS; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; TIME SERIES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 67949115716     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2009.2016385     Document Type: Conference Paper

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