EEG Signal Analysis
Epilepsy, a disorder that affects millions of people worldwide, often goes undiagnosed or misdiagnosed due to the unpredictable nature of seizures and the difficulty in monitoring brain activity over extended periods. Traditional methods of seizure detection, such as manual inspection of EEG signals by medical professionals, can be time-consuming and flat to errors. In contrast, this move towards utilizes EEG data, which captures the electrical activity of the brain, and applies CNNs to automatically detect seizures with high accuracy
Authors
- M. M. Kamble
Institutions
- Dr. Babasaheb Ambedkar Technological University (IN)
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-06-29
- DOI
- https://doi.org/10.22214/ijraset.2025.72844
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00