A new framework based on recurrence quantification analysis for epileptic seizure detection

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 3, 2013, Pages 572-578

  Niknazar, M ^a   Mousavi, S R ^a   Vosoughi Vahdat, B ^a   Sayyah, M ^b  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^b PASTEUR INSTITUTE OF IRAN   (Iran)

Author keywords

EEG subbands; Epileptic seizure detection; Phase space reconstruction; Recurrence quantification analysis (RQA); Wavelet decomposition

Indexed keywords

CLASSIFICATION (OF INFORMATION); DYNAMICAL SYSTEMS; MULTIVARIABLE CONTROL SYSTEMS; NEURODEGENERATIVE DISEASES; NEUROPHYSIOLOGY; WAVELET DECOMPOSITION;

EPILEPTIC SEIZURE DETECTION; HEALTHY SUBJECTS; HIGH-ACCURACY; ORIGINAL SIGNAL; OVERALL ACCURACIES; PHASE SPACE RECONSTRUCTION; RECURRENCE QUANTIFICATION ANALYSIS; SUBBANDS;

BIOMEDICAL SIGNAL PROCESSING;

ALGORITHM; ARTICLE; CASE CONTROL STUDY; ELECTROENCEPHALOGRAPHY; EPILEPSY; FACTUAL DATABASE; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; WAVELET ANALYSIS;

ALGORITHMS; CASE-CONTROL STUDIES; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; WAVELET ANALYSIS;

EID: 84885161446     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2255132     Document Type: Article

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