├── LICENSE └── README.md /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 Mohsin Riad 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
2 |

Epileptic Seizure Recognition

3 |
4 |
5 | 6 | [![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/mohsin-riad/Epileptic-Seizure-Recognition/blob/main/LICENSE) 7 |
8 | 9 |
10 |

Introduction

11 | 12 | >Epilepsy is a serious brain illness that is an endemic neurological disorder all over the world. It is a clinical result that occurs with abnormal neurological electrical discharging of brain. Epileptic seizures represent the most common positive signs and symptoms of brain disturbance, and epilepsy is one of the most common primary brain disorders . Vascular causes, traumatic causes, infections and brain abscesses, brain tumors, nutritional deficiencies, pyridoxine deficiency, calcium metabolism disorders are lead causes for epilepsy. For in diagnosing epilepsy, research is needed for better understanding of mechanisms causing epileptic disorders. The evaluation and treatment of neurophysiologic disorders are diagnosed with the electroencephalogram (EEG). EEG is crucial for accurate classification of different forms of epilepsy . 13 | 14 |

Theoretical Background

15 | 16 | > The aim of this Research is to contribute to the diagnosis of epilepsy by taking advantage of the engineering. So, for diagnosing of epileptic seizures from EEG signals are transformed discrete wavelet and auto regressive models. After these transformations, extract data is applied input for Back-propagation, KNN, Linear SVM, SVM, ANN ,Logistic Regression. 17 | 18 |
19 | 20 | ---- 21 | ## Contents 22 | - [Notebook/ Source Code](https://github.com/mohsin-riad/Epileptic-Seizure-Recognition/blob/main/Source%20Code/main.ipynb) 23 | - [Dataset](https://github.com/mohsin-riad/Epileptic-Seizure-Recognition/blob/main/Dataset/Epileptic%20Seizure%20Recognition.csv) 24 | ## Reference 25 | 26 | - [Comparison Machine Learning Algorithms for 27 | Recognition of Epileptic Seizures](http://iwbbio.ugr.es/2014/papers/IWBBIO_2014_paper_1.pdf) --------------------------------------------------------------------------------