Rnn and bilstm fusion for accurate automatic epileptic seizure diagnosis using eeg signals

HIGHLIGHTS

• who: Nagwan Abdel Samee and colleagues from the Department of Information, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia have published the article: RNN and BiLSTM Fusion for Accurate Automatic Epileptic Seizure Diagnosis Using EEG Signals, in the Journal: Life 2022, 1946 of /2022/
• what: As a consequence of this, the objective of the hybrid deep learning model that is proposed in this paper is to improve the performance of previously developed EEG seizure classifiers. The following is a list of the most important findings from the study: A . . .
  

   

  

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