IOT System for Detecting Epileptic Seizures Based on Fuzzy Logic
Epilepsy affects around 50 million people globally and is marked by unpredictable seizures due to abnormal neural activities in the brain. With nearly 30% of epilepsy patients experiencing drug-resistant seizures, there is a crucial need for effective seizure detection. This paper focuses on the ch...
Saved in:
| Main Authors: | Jehan A. abbas, Manaf K. Hussei, Riyadh A. Abbas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wasit University
2025-06-01
|
| Series: | Wasit Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/587 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Definition and classification of epilepsy. Classification of epileptic seizures 2016
by: K. Yu. Mukhin
Published: (2017-04-01) -
Management of patients with single and rare epileptic seizures
by: A. S. Kotov
Published: (2020-09-01) -
The Level of Public’s Practical Skills in Provision of First Aid to Patients with Major Epileptic Seizure
by: Mária Šupínová, et al.
Published: (2019-06-01) -
Symptomatic Epileptic Seizures in Patients with Brain Gliomas
by: D. I. Abzalova, et al.
Published: (2021-11-01) -
Effective Epileptic Seizure Detection with Hybrid Feature Selection and SMOTE-Based Data Balancing Using SVM Classifier
by: Hany F. Atlam, et al.
Published: (2025-04-01)