Robust deep network with maximum correntropy criterion for seizure detection

BioMed Research International

Volumn 2014, Issue , 2014, Pages

  Qi, Yu ^a,b   Wang, Yueming ^a,b   Zhang, Jianmin ^c   Zhu, Junming ^c   Zheng, Xiaoxiang ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c THE SECOND AFFILIATED HOSPITAL OF ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFACT; CLINICAL ARTICLE; DIAGNOSTIC TEST ACCURACY STUDY; ELECTROENCEPHALOGRAM; ELECTROMYOGRAM; FEMALE; HUMAN; KERNEL METHOD; LEARNING; MALE; NOISE; SEIZURE; SENSITIVITY AND SPECIFICITY; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAPHY; PATHOPHYSIOLOGY; SEIZURES; SIGNAL PROCESSING;

ARTIFICIAL INTELLIGENCE; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; NEURAL NETWORKS (COMPUTER); SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84904803161     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2014/703816     Document Type: Article

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