Real-time epileptic seizure detection from EEG signals via random subspace ensemble learning

Proceedings - 2016 IEEE International Conference on Autonomic Computing, ICAC 2016

Volumn , Issue , 2016, Pages 209-218

  Hosseini, Mohammad Parsa ^a   Hajisami, Abolfazl ^a   Pompili, Dario ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

Brain Computer Interface; Cloud Computing; Electroencephalogram; Epileptic Seizures; Pervasive Computing

Indexed keywords

BRAIN COMPUTER INTERFACE; CLOUD COMPUTING; COMPUTER ARCHITECTURE; ELECTROENCEPHALOGRAPHY; INDEPENDENT COMPONENT ANALYSIS; INTERFACES (COMPUTER); NEURODEGENERATIVE DISEASES; NEUROPHYSIOLOGY; STATISTICAL METHODS; SUPPORT VECTOR MACHINES; UBIQUITOUS COMPUTING; VECTOR SPACES; VECTORS;

CLOUD COMPUTING ARCHITECTURES; EPILEPTIC SEIZURE DETECTION; EPILEPTIC SEIZURES; FALSE POSITIVE AND FALSE NEGATIVES; FEATURE SELECTION AND CLASSIFICATION; LEAVE-ONE-OUT CROSS VALIDATIONS; RANDOM SUBSPACE ENSEMBLES; REAL-TIME DETECTION;

FEATURE EXTRACTION;

EID: 84991627852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAC.2016.57     Document Type: Conference Paper

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