A novel real-time patient-specific seizure diagnosis algorithm based on analysis of EEG and ECG signals using spectral and spatial features and improved particle swarm optimization classifier

Computers in Biology and Medicine

Volumn 42, Issue 8, 2012, Pages 848-856

  Nasehi, Saadat ^a   Pourghassem, Hossein ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

ECG; EEG; Epilepsy; Gabor functions; Improved particle swarm optimization (IPSO); Principal component analysis (PCA); Seizure detection

Indexed keywords

DATA SETS; DECISION BOUNDARY; DETECTION RATES; DIAGNOSIS ALGORITHMS; ECG SIGNALS; EEG SIGNALS; ELECTROCARDIOGRAM SIGNAL; EPILEPSY; FORM FEATURES; GABOR FUNCTION; HEART RATES; MINIMUM DELAY; NEURAL NETWORK CLASSIFIER; SEIZURE DETECTION; SEIZURE ONSET; SPATIAL FEATURES;

ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; LEARNING ALGORITHMS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PRINCIPAL COMPONENT ANALYSIS; REACTIVE POWER;

SIGNAL DETECTION;

ARTICLE; CLINICAL ARTICLE; ELECTROCARDIOGRAM; ELECTROENCEPHALOGRAM; HEART RATE; HUMAN; IMPROVED PARTICLE SWARM OPTIMIZATION; LEARNING ALGORITHM; NERVE CELL NETWORK; PARAMETERS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SEIZURE;

ALGORITHMS; COMPUTER SYSTEMS; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; HUMANS; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84864130977     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2012.06.008     Document Type: Article

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