Reliable measurement of cortical flow patterns using complex independent component analysis of electroencephalographic signals

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

Volumn 3195, Issue , 2004, Pages 1009-1016

  Anemüller, Jörn ^a,b   Sejnowski, Terrence J ^a,b   Makeig, Scott ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; ELECTROENCEPHALOGRAPHY; FREQUENCY BANDS; FREQUENCY DOMAIN ANALYSIS; TIME DOMAIN ANALYSIS;

CORTICAL POTENTIALS; ELECTROENCEPHALOGRAPHIC (EEG); ELECTROENCEPHALOGRAPHIC SIGNALS; INDEPENDENT COMPONENT ANALYSIS(ICA); NON- INVASIVE MEASUREMENTS; RELIABLE MEASUREMENT; SELECTIVE ATTENTION; SPATIO-TEMPORAL DYNAMICS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 31344451200     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_127     Document Type: Article

References (7)

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