A machine-learning algorithm for detecting seizure termination in scalp EEG

Epilepsy and Behavior

Volumn 22, Issue SUPPL. 1, 2011, Pages

  Shoeb, Ali ^a   Kharbouch, Alaa ^b   Soegaard, Jacqueline ^c   Schachter, Steven ^d   Guttag, John ^b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b Department of Electrical Engineering and Computer Science   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d Center for Integration of Medicine and Innovative Technology   (United States)

Author keywords

Machine learning; Postictal state; Seizure detection; Seizure termination

Indexed keywords

ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DATA BASE; ELECTROENCEPHALOGRAM; HUMAN; LEARNING ALGORITHM; MACHINE LEARNING; SCALP; SEIZURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN WAVES; ELECTROENCEPHALOGRAPHY; HUMANS; REGRESSION ANALYSIS; SCALP; SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 83455172742     PISSN: 15255050     EISSN: 15255069     Source Type: Journal    
DOI: 10.1016/j.yebeh.2011.08.040     Document Type: Article

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