• A User-centered Smartphone Application for Wireless EEG and its Role in Epilepsy 

      Ahufinger, Sofía; Balugo, Paloma; González, María Mercedes; Pequeño, Elías; González, Henar; Herrero, Pilar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      Electroencephalography is well-known for its importance in the diagnosis and treatment of mental and neurological disorders and abnormalities, being especially noted in critically ill patients who suffer a variety of ...
    • An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing 

      Qiu, Shi; Cheng, Keyang; Zhou, Tao; Tahir, Rabia; Ting, Liang (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Epilepsy is one kind of brain diseases, and its sudden unpredictability is the main cause of disability and even death. Thus, it is of great significance to identify electroencephalogram (EEG) during the seizure quickly ...
    • EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls 

      Perera, Perera, Harshani Harshani; Shiratuddin, Mohd Fairuz; Wong, Kok Wai; Fullarton, Kelly (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological ...
    • User Identification and Verification from a Pair of Simultaneous EEG Channels Using Transform Based Features 

      George, Loay; Hadi, Hend (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In this study, the approach of combined features from two simultaneous Electroencephalogram (EEG) channels when a user is performing a certain mental task is discussed to increase the discrimination degree among subject ...