Statistical approach to quantify the presence of phase coupling using the bispectrum

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 5, 2008, Pages 1512-1520

  Siu, Kin L ^a   Ahn, Jae M ^b   Ju, Kihwan ^a   Lee, Myoungho ^c   Shin, Kunsoo ^d   Chon, Ki H ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b Hallym University   (South Korea)

^c Yonsei University   (South Korea)

^d Samsung Advanced Institute of Technology (SAIT)   (South Korea)

Author keywords

Bicoherence; Bispectrum; Cross bispectrum; Nonlinear interactions; Quadratic phase coupling; Surrogate data

Indexed keywords

PHASE METERS; SPECTRUM ANALYSIS; STATISTICAL METHODS;

BICOHERENCE; BISPECTRUM; CROSS BISPECTRUM; NONLINEAR INTERACTIONS; QUADRATIC PHASE COUPLING;

BIOMEDICAL ENGINEERING;

ACCURACY; ARTICLE; COMPUTER SIMULATION; KIDNEY BLOOD FLOW; METHODOLOGY; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SPECTROSCOPY; STATISTICAL ANALYSIS;

ANIMALS; ARTIFACTS; BLOOD PRESSURE DETERMINATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; HYPERTENSION, RENAL; MANOMETRY; RATS; RATS, INBRED SHR; RATS, WISTAR;

EID: 42249083233     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.913418     Document Type: Article

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