Detection of epileptic seizure in EEG signals using linear least squares preprocessing

Computer Methods and Programs in Biomedicine

Volumn 133, Issue , 2016, Pages 95-109

  Roshan Zamir, Z ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Biological signal classification; Data analysis; EEG seizure detection; Feature extraction; Linear least squares problems; Signal approximation

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DATA REDUCTION; EXTRACTION; FEATURE EXTRACTION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; NEURODEGENERATIVE DISEASES; NEUROPHYSIOLOGY; SIGNAL DETECTION; SURFACE RECONSTRUCTION; WAVELET TRANSFORMS;

BIOLOGICAL SIGNALS; CLASSIFICATION ACCURACY; FEATURE EXTRACTION METHODS; LINEAR LEAST SQUARES PROBLEMS; POLYNOMIAL FUNCTIONS; SEIZURE DETECTION; SIGNAL APPROXIMATION; STATISTICAL MEASURES;

CLASSIFICATION (OF INFORMATION);

ARTICLE; CLASSIFICATION ALGORITHM; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; ELECTROENCEPHALOGRAM; INFORMATION PROCESSING; LINEAR SYSTEM; MODEL; NERVOUS SYSTEM PARAMETERS; SEIZURE; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMAN; LEAST SQUARE ANALYSIS; PATHOPHYSIOLOGY; PROCEDURES; THEORETICAL MODEL;

ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, THEORETICAL;

EID: 84973115755     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2016.05.002     Document Type: Article

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