Frontiers in Neuroscience (Mar 2022)
Corrigendum: The NMT Scalp EEG Dataset: An Open-Source Annotated Dataset of Healthy and Pathological EEG Recordings for Predictive Modeling
- Hassan Aqeel Khan,
- Rahat Ul Ain,
- Awais Mehmood Kamboh,
- Awais Mehmood Kamboh,
- Hammad Tanveer Butt,
- Hammad Tanveer Butt,
- Saima Shafait,
- Wasim Alamgir,
- Didier Stricker,
- Didier Stricker,
- Faisal Shafait,
- Faisal Shafait
Affiliations
- Hassan Aqeel Khan
- College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
- Rahat Ul Ain
- School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan
- Awais Mehmood Kamboh
- College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
- Awais Mehmood Kamboh
- School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan
- Hammad Tanveer Butt
- Department of Computer Science, University of Kaiserslautern, Kaiserslautern, Germany
- Hammad Tanveer Butt
- College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan
- Saima Shafait
- Pak-Emirates Military Hospital, Rawalpindi, Pakistan
- Wasim Alamgir
- Pak-Emirates Military Hospital, Rawalpindi, Pakistan
- Didier Stricker
- Department of Computer Science, University of Kaiserslautern, Kaiserslautern, Germany
- Didier Stricker
- German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
- Faisal Shafait
- School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan
- Faisal Shafait
- Deep Learning Laboratory, National Center of Artificial Intelligence, Islamabad, Pakistan
- DOI
- https://doi.org/10.3389/fnins.2022.877868
- Journal volume & issue
-
Vol. 16
Abstract
No abstracts available.Keywords
- open-source EEG dataset
- automated EEG analytics
- pre-diagnostic EEG screening
- computer aided diagnosis
- computational neurology
- convolutional neural networks