Discrimination of types of seizure using brain rhythms based on markov transition field and deep learning

HIGHLIGHTS

• who: Rhythms Based on Markov and colleagues from the provided by the Temple University EEG dataset (TUH v15.2) has been taken into account. The proposed method has achieved have published the research work: Discrimination of Types of Seizure Using Brain Rhythms Based on Markov Transition Field and Deep Learning, in the Journal: (JOURNAL)
• what: This paper has been organized as follows: Section II describes the proposed method.
• how: In this work the 2D input images have been generated from four brain rhythms (δ θ α and β) have been used for the analysis of different types . . .
  

   

  

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