Kalman filter-based time-varying cortical connectivity analysis of newborn EEG

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

Volumn , Issue , 2011, Pages 1423-1426

  Omidvarnia, A H ^a   Mesbah, M ^a   Khlif, M S ^a   O'Toole, J M ^b   Colditz, P B ^a   Boashash, B ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF DEUSTO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONNECTIVITY ANALYSIS; DIRECTED TRANSFER FUNCTIONS; DUAL EXTENDED KALMAN FILTER; FILTER-BASED; GRANGER CAUSALITY; NEONATAL EEG; NON-LINEARITY; NON-STATIONARITIES; PARTIAL DIRECTED COHERENCE; SIMULATED DATA; TIME FREQUENCY DOMAIN; TIME VARYING; TRANSIENT CHANGES;

BRAIN; FREQUENCY DOMAIN ANALYSIS; KALMAN FILTERS;

TIME VARYING SYSTEMS;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; NEWBORN; NEWBORN SCREENING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; INFANT, NEWBORN; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEONATAL SCREENING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84862264754     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090335     Document Type: Conference Paper

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