no code implementations • 6 May 2023 • Mekia Shigute Gaso, Selcuk Cankurt, Abdulhamit Subasi
Having implemented this model, an accuracy of 99 percent is achieved on the test data set.
no code implementations • 20 Jun 2022 • Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Roohallah Alizadehsani, Juan M. Gorriz, Sara A Abdulla, U. Rajendra Acharya
We review several CADS that have been developed using ML techniques for the automated diagnosis of ASD using MRI modalities.
no code implementations • 6 Sep 2021 • Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, J. Manuel Gorriz
The tunable-Q wavelet transform (TQWT) is employed to decompose the EEG signals into different sub-bands.
no code implementations • 18 Dec 2020 • Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi, Amitava Datta
In this paper, we present an automatic binary classification framework for brain signals in multichannel EEG recordings.