An automatic patient-specific seizure onset detection method using intracranial electroencephalography

Neuromodulation

Volumn 18, Issue 2, 2015, Pages 79-84

  Zheng, Yu Xin ^a   Zhu, Jun Ming ^a   Qi, Yu ^b   Zheng, Xiao Xiang ^b   Zhang, Jian Min ^a,c  

^a ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c HANGZHOU NORMAL UNIVERSITY   (China)

Author keywords

Empirical mode decomposition; epilepsy; intracranial EEG; seizure detection; support vector machine

Indexed keywords

ARTICLE; ARTIFACT; AUTOMATION; BRAIN DEPTH RECORDING; CLASSIFICATION ALGORITHM; CLASSIFIER; CLINICAL ARTICLE; CONTROLLED STUDY; DELAYED DIAGNOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE DURATION; EARLY DIAGNOSIS; ELECTROCORTICOGRAPHY; EMPIRICAL MODE DECOMPOSITION; FALSE POSITIVE RESULT; HUMAN; MEDICAL STAFF; SEIZURE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; ALGORITHM; ELECTROENCEPHALOGRAPHY; FEMALE; INFORMATION PROCESSING; MALE; PATHOPHYSIOLOGY; SEIZURES; TIME FACTOR;

ALGORITHMS; AUTOMATIC DATA PROCESSING; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; SEIZURES; SUPPORT VECTOR MACHINE; TIME FACTORS;

EID: 84923649144     PISSN: 10947159     EISSN: 15251403     Source Type: Journal    
DOI: 10.1111/ner.12214     Document Type: Article

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