A 1.83 μj/Classification, 8-Channel, Patient-Specific Epileptic Seizure Classification SoC Using a Non-Linear Support Vector Machine

IEEE Transactions on Biomedical Circuits and Systems

Volumn 10, Issue 1, 2016, Pages 49-60

  Bin Altaf, Muhammad Awais ^a   Yoo, Jerald ^a  

^a KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

classification processor; Continuous health monitoring; electroencephalogram (EEG); epilepsy; machine learning; neurological disorder; seizure detection; support vector machine (SVM)

Indexed keywords

BANDPASS FILTERS; CHOPPERS (CIRCUITS); CMOS INTEGRATED CIRCUITS; DATA ACQUISITION; DIGITAL STORAGE; ENERGY UTILIZATION; ENGINES; ERRORS; FEATURE EXTRACTION; PROGRAMMABLE LOGIC CONTROLLERS; READOUT SYSTEMS; STATIC RANDOM ACCESS STORAGE; SUPPORT VECTOR MACHINES; TIME DIVISION MULTIPLEXING;

EPILEPTIC PATIENTS; EPILEPTIC SEIZURES; FALSE ALARM RATE; GAUSSIAN BASIS FUNCTIONS; HIGH DYNAMIC RANGE; ON-CHIP INTEGRATION; PATTERN DETECTION; READ-OUT CIRCUIT;

SYSTEM-ON-CHIP;

ALGORITHM; DEVICES; ELECTROENCEPHALOGRAPHY; EPILEPSY; FACTUAL DATABASE; HUMAN; PATHOPHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE;

ALGORITHMS; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINE;

EID: 84923073568     PISSN: 19324545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBCAS.2014.2386891     Document Type: Article

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