Describing the nonstationarity level of neurological signals based on quantifications of time-frequency representation

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 10, 2007, Pages 1780-1785

  Tong, Shanbao ^a   Li, Zhengjun ^a   Zhu, Yisheng ^a   Thakor, Nitish V ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Electroencephalogram (EEG); Kullback Leibler distance; Shannon entropy; Stationarity; Time frequency representation (TFR)

Indexed keywords

BIOELECTRIC POTENTIALS; ELECTRIC FIELD EFFECTS; NEUROLOGY; SIGNAL PROCESSING;

KULLBACK-LEIBLER DISTANCES; SHANNON ENTROPY; STATIONARITY; TIME-FREQUENCY REPRESENTATION (TFR);

ELECTROENCEPHALOGRAPHY;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BETA RHYTHM; BRAIN HYPOXIA; BRAIN INJURY; BRAIN ISCHEMIA; DELTA RHYTHM; ELECTRIC POTENTIAL; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; ELECTRONEUROLOGY; ENTROPY; EVOKED RESPONSE; NONHUMAN; QUANTITATIVE ANALYSIS; QUANTITATIVE STUDY; RAT; SIGNAL DETECTION; SIGNAL PROCESSING; THETA RHYTHM; TIME FREQUENCY REPRESENTATION;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; HYPOXIA, BRAIN; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 34548828889     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.893497     Document Type: Article

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