# An automated system for epilepsy detection using EEG brain signals based on deep learning approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-automated-system-for-epilepsy-detection-using-eeg-brain-signals-based-on-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ihsan Ullah,Muhammad Hussain,Emad-ul-Haq Qazi,Hatim Aboalsamh |
| Citations | 26 |
| DOI | 10.1016/j.eswa.2018.04.021 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1801.05412 |
| OpenAlex ID | https://openalex.org/W2783678721 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Ihsan Ullah](https://scholariq.org/researchers/ihsan-ullah/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)
- [Epilepsy research and treatment](https://scholariq.org/topics/epilepsy-research-and-treatment/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.