Evaluation of EEG features in decoding individual finger movements from one hand

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Xiao, Ran ^a   Ding, Lei ^a,b  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECODING; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; SIGNAL PROCESSING;

CONTROL SIGNAL; DIRECT USE; ELECTROCORTICOGRAPHY (ECOG); FINGER MOVEMENTS; MODERN SIGNAL PROCESSING; SPECTRAL FEATURE; SPECTRAL POWER; TEMPORAL DATA;

BRAIN COMPUTER INTERFACE;

ACCURACY; ADULT; ALPHA RHYTHM; ARTICLE; BETA RHYTHM; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; HAND MOVEMENT; HUMAN; INDIVIDUAL FINGER MOVEMENT; MOTION ANALYSIS SYSTEM; POWER SPECTRUM; PRINCIPAL COMPONENT ANALYSIS; BIOLOGICAL MODEL; BIOLOGY; BRAIN COMPUTER INTERFACE; EVALUATION STUDY; FINGER; HAND; MOVEMENT (PHYSIOLOGY); SIGNAL PROCESSING; STATISTICS; YOUNG ADULT; STATISTICS AND NUMERICAL DATA;

ADULT; BRAIN-COMPUTER INTERFACES; COMPUTATIONAL BIOLOGY; ELECTROENCEPHALOGRAPHY; FINGERS; HAND; HUMANS; MODELS, NEUROLOGICAL; MOVEMENT; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 84877945425     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/243257     Document Type: Article

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