Empirical mode decomposition improves detection of SSVEP

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 3901-3904

  Huang, Liya ^a,b   Huang, Xiaoxia ^b   Wang, Yu Te ^c   Wang, Yijun ^c   Jung, Tzyy Ping ^c   Cheng, Chung Kuan ^c  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b SHANGHAI MARITIME UNIVERSITY   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL CORRELATION ANALYSIS; DETECTION ACCURACY; ELECTROENCEPHALOGRAM SIGNALS; EMPIRICAL MODE DECOMPOSITION; INTRINSIC MODE FUNCTIONS; RECOGNITION ACCURACY; STEADY STATE VISUAL EVOKED POTENTIAL (SSVEPS); TARGET FREQUENCIES;

ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; NEURONS;

SIGNAL PROCESSING;

ALGORITHM; BRAIN COMPUTER INTERFACE; COMPUTER PROGRAM; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; HUMAN; NORMAL DISTRIBUTION; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SIGNAL PROCESSING;

ALGORITHMS; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; HUMANS; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 84886518777     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610397     Document Type: Conference Paper

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