Browsing by Author Dinh, Van Viet

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  • Authors: Le, Thanh Xuyen; Le, Trung Thanh; Dinh, Van Viet; Tran, Quoc Long; Nguyen, Linh Trung; Nguyen, Duc Thuan (2017)

  • In the clinical diagnosis of epilepsy using electroencephalogram (EEG) data, an accurate automatic epileptic spikes detection system is highly useful and meaningful in that the conventional manual process is not only very tedious and time-consuming, but also subjective since it depends on the knowledge and experience of the doctors. In this paper, motivated by significant advantages and lots of achieved successes of deep learning in data mining, we apply Deep Belief Network (DBN), which is one of the breakthrough models laid the foundation for deep learning, to detect epileptic spikes in EEG data. It is really useful in practice because the promising quality evaluation of the spike de...

Browsing by Author Dinh, Van Viet

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 1 of 1
  • c33.2.1.pdf.jpg
  • Article


  • Authors: Le, Thanh Xuyen; Le, Trung Thanh; Dinh, Van Viet; Tran, Quoc Long; Nguyen, Linh Trung; Nguyen, Duc Thuan (2017)

  • In the clinical diagnosis of epilepsy using electroencephalogram (EEG) data, an accurate automatic epileptic spikes detection system is highly useful and meaningful in that the conventional manual process is not only very tedious and time-consuming, but also subjective since it depends on the knowledge and experience of the doctors. In this paper, motivated by significant advantages and lots of achieved successes of deep learning in data mining, we apply Deep Belief Network (DBN), which is one of the breakthrough models laid the foundation for deep learning, to detect epileptic spikes in EEG data. It is really useful in practice because the promising quality evaluation of the spike de...