Now showing items 1-4 of 4

    • An approach to detect epileptic seizure using XAI and machine learning 

      Bijoy, Emam Hasan; Rahman, Md. Hasibur; Ahmed, Sabbir; Laskor, Md. Shifat (Brac University, 2022-05)
      One of the most common neurological disorder in health sector is Epileptic Seizure (ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million people in the whole world are suffering from Epileptic ...
    • A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning 

      Sarmi, Kaniz Fatima; Rahman, Shaikh Mahmudur; Sultana, Nusrat Jahan; Anzoom Shanto, Khandaker MD. Asef (Brac University, 2021-10)
      Depression and mental health issues (stress, nervousness, panic attacks, anxiety attacks etc.) are nowadays a major issue in the whole world. It is a common cause of mental illness that has been linked to an increased ...
    • Detection of mind wandering using EEG signals 

      Tasika, Nadia Jebin; Alam, Salwa; Rimo, Mohsena Begum; Haque, Mohtasim Al; Haque, Mohammad Hasibul (Brac University, 2020-01)
      Mind Wandering (MW) is the recurrent occurrence in which our mind gets disengaged from the immediate task and focused on internal trains of thought. In terms of intelligent interfaces MW can both have good as well as ...
    • Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods 

      Uddin, Md.Tousif; Hossain, Mohammed Imaad; Khan, Shakik; Hoque, Tajwar-ul; Ahsan, Md.Jabid (Brac University, 2020-10)
      Individuals are free to articulate thousands of emotions. Emotion can be associated with feelings articulated by or observable by voice intonation, a facial expression of body language, an initial response from one’s mood ...