Statistical performance analysis of signal variance-based dipole models for MEG/EEG source localization and detection

IEEE Transactions on Biomedical Engineering

Volumn 50, Issue 2, 2003, Pages 137-149

  Rodríguez Rivera, Alberto ^a   Van Veen, Barry D ^a   Wakai, Ronald T ^b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Evoked experiments; Hypothesis testing; MEG EEG; Parameter estimation; Signal detection; Signal related variance; Source localization

Indexed keywords

BIOMEDICAL ENGINEERING; ERROR ANALYSIS; SIGNAL DETECTION; STATISTICAL METHODS;

DIPOLE FITTING;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; DIPOLE; ELECTROENCEPHALOGRAM; HYPOTHESIS; MATHEMATICAL MODEL; PERFORMANCE; PROBABILITY; PROBLEM SOLVING; REVIEW; SIGNAL DETECTION; SIMULATION; SPIKE WAVE; STATISTICAL ANALYSIS;

ACTION POTENTIALS; ALGORITHMS; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; ELECTROMAGNETIC FIELDS; EPILEPSY; FALSE POSITIVE REACTIONS; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES;

EID: 17144447149     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2002.807661     Document Type: Review

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