Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm
The study demonstrates the potential of EEG data for reliable seizure detection while emphasizing the need for further development of more practical and non-invasive monitoring systems for real-world applications.
Authors
- Mosleh Hmoud Al-Adhaileh (ORCID: https://orcid.org/0000-0002-3519-1121)
- Alhasan Ali Alharbi (ORCID: https://orcid.org/0000-0002-7511-6193)
- Sultan Ahmad (ORCID: https://orcid.org/0000-0002-3198-7974)
- Mukta Dhopeshwarkar (ORCID: https://orcid.org/0009-0000-4856-8533)
- Theyazn H. H. Aldhyani (ORCID: https://orcid.org/0000-0003-1822-1357)
- Mohammed Alarfaj (ORCID: https://orcid.org/0000-0001-6089-9319)
Institutions
- Prince Sattam Bin Abdulaziz University (SA)
- Dr. Babasaheb Ambedkar Marathwada University (IN)
- King Salman Center for Disability Research (SA)
- King Faisal University (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-05-20
- DOI
- https://doi.org/10.3389/fmed.2025.1577474
- Citations
- 2
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- King Salman Center for Disability Research