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  1. No Access

    Article

    Epileptic seizures detection in EEGs blending frequency domain with information gain technique

    This paper proposes a new algorithm which combines the information in frequency domain with the Information Gain (InfoGain) technique for the detection of epileptic seizures from electroencephalogram (EEG) dat...

    Hadi Ratham Al Ghayab, Yan Li, Siuly Siuly, Shahab Abdulla in Soft Computing (2019)

  2. No Access

    Chapter and Conference Paper

    Develo** a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extraction

    Brain signals refer to electroencephalogram (EEG) data that contain the most important information in the human brain, which are non-stationary and nonlinear in nature. EEG signals are a mixture of sustained ...

    Hadi Ratham Al Ghayab, Yan Li, Siuly, Shahab Abdulla… in Health Information Science (2017)

  3. Article

    Open Access

    Classification of epileptic EEG signals based on simple random sampling and sequential feature selection

    Electroencephalogram (EEG) signals are used broadly in the medical fields. The main applications of EEG signals are the diagnosis and treatment of diseases such as epilepsy, Alzheimer, sleep problems and so on...

    Hadi Ratham Al Ghayab, Yan Li, Shahab Abdulla, Mohammed Diykh… in Brain Informatics (2016)

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