Improving mental task classification by adding high frequency band information

Journal of Medical Systems

Volumn 34, Issue 1, 2010, Pages 51-60

  Zhang, Li ^a   He, Wei ^a   He, Chuanhong ^a   Wang, Ping ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

BCI; EEG; EMG; High frequency band; Mental task

Indexed keywords

ACCURACY; ALPHA RHYTHM; ARTICLE; ARTIFACT REDUCTION; BETA RHYTHM; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DELTA RHYTHM; DIAGNOSTIC VALUE; DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; ELECTROOCULOGRAPHY; FREQUENCY MODULATION; GAMMA RHYTHM; HUMAN; MENTAL TASK; SIGNAL DETECTION; TASK PERFORMANCE; THETA RHYTHM;

ARTIFACTS; ARTIFICIAL INTELLIGENCE; BRAIN; ELECTROENCEPHALOGRAPHY; HUMANS; MENTAL PROCESSES; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 77949266090     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-008-9215-z     Document Type: Article

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