Fast monitoring of epileptic seizures using recurrence time statistics of electroencephalography

Frontiers in Computational Neuroscience

Volumn , Issue OCT, 2013, Pages

  Gao, Jianbo ^a,b   Hu, Jing ^a,b  

^a GUANGXI UNIVERSITY   (China)

^b PMB Intelligence LLC   (United States)

Author keywords

Brain complexity; EEG; Recurrence time; Seizure detection; Seizure propagation

Indexed keywords

BRAIN ELECTRICAL ACTIVITY; EPILEPTIC SEIZURES; INFORMATION DIMENSIONS; KOLMOGOROV ENTROPIES; REAL TIME MONITORING; RECURRENCE TIME; RECURRENCE TIME STATISTICS; SEIZURE DETECTION;

DYNAMICAL SYSTEMS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; NEUROPHYSIOLOGY; SIGNAL DETECTION;

LYAPUNOV METHODS;

ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; ENTROPY; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MATHEMATICAL PARAMETERS; RECURRENCE TIME METHOD; SEIZURE; SENSITIVITY ANALYSIS; SHORT TIME LARGEST LYAPUNOV EXPONENT;

EID: 84886286081     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2013.00122     Document Type: Article

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