English
Related papers

Related papers: Synthetic Epileptic Brain Activities Using Generat…

200 papers

Epilepsy is one of the most occurring neurological diseases. The main characteristic of this disease is a frequent seizure, which is an electrical imbalance in the brain. It is generally accompanied by shaking of body parts and even leads…

Machine Learning · Computer Science 2023-03-22 Shivam Gupta , Virender Ranga , Priyansh Agrawal

Automated epileptic seizure detection from electroencephalogram (EEG) remains challenging due to significant individual differences in EEG patterns across patients. While existing studies achieve high accuracy with patient-specific…

Signal Processing · Electrical Eng. & Systems 2025-05-22 Rina Tazaki , Tomoyuki Akiyama , Akira Furui

In recent years, machine learning has become an increasingly powerful tool for supporting seizure detection and monitoring in epilepsy care. Traditional approaches focus on identifying seizures only after they begin, which limits the…

Machine Learning · Computer Science 2025-10-30 Ria Jayanti , Tanish Jain

Timely diagnosis is important for saving the life of epileptic patients. In past few years, a lot of treatments are available for epilepsy. These treatments require use of anti-seizure drugs but are not effective in controlling frequency of…

Machine Learning · Computer Science 2021-11-08 Shivam Gupta , Jyoti Meena , O. P Gupta

Epileptic seizure detection and classification in clinical electroencephalogram data still is a challenge, and only low sensitivity with a high rate of false positives has been achieved with commercially available seizure detection tools,…

Signal Processing · Electrical Eng. & Systems 2020-07-14 Tomas Iesmantas , Robertas Alzbutas

Electroencephalogram (EEG) is a prominent way to measure the brain activity for studying epilepsy, thereby helping in predicting seizures. Seizure prediction is an active research area with many deep learning based approaches dominating the…

Signal Processing · Electrical Eng. & Systems 2020-11-19 Zaid Bin Tariq , Arun Iyengar , Lara Marcuse , Hui Su , Bülent Yener

Epilepsy is a chronic, noncommunicable brain disorder, and sudden seizure onsets can significantly impact patients' quality of life and health. However, wearable seizure-predicting devices are still limited, partly due to the bulky size of…

Signal Processing · Electrical Eng. & Systems 2025-07-22 Ruifeng Zheng , Cong Chen , Shuang Wang , Yiming Liu , Lin You , Jindong Lu , Ruizhe Zhu , Guodao Zhang , Kejie Huang

Information transmission in the human brain is a fundamentally dynamic network process. In partial epilepsy, this process is perturbed and highly synchronous seizures originate in a local network, the so-called epileptogenic zone (EZ),…

Neurons and Cognition · Quantitative Biology 2019-06-19 Simona Olmi , Spase Petkoski , Maxime Guye , Fabrice Bartolomei , Viktor Jirsa

Epilepsy is a prevalent neurological disorder globally, impacting around 50 million people \cite{WHO_epilepsy_50million}. Epileptic seizures result from sudden abnormal electrical activity in the brain, which can be read as sudden and…

Machine Learning · Computer Science 2025-08-15 Mohammed Guhdar , Ramadhan J. Mstafa , Abdulhakeem O. Mohammed

Introduction: Approximately 23 million or 30% of epilepsy patients worldwide suffer from drug-resistant epilepsy (DRE). The unpredictability of seizure occurrences, which causes safety issues as well as social concerns, restrict the…

Machine Learning · Computer Science 2024-10-10 Shriya Jaddu , Sidh Jaddu , Camilo Gutierrez , Quincy K. Tran

Medically uncontrolled epileptic seizures affect nearly 15 million people worldwide, resulting in enormous economic and psychological burdens. Treatment of medically refractory epilepsy is essential for patients to achieve remission,…

Quantitative Methods · Quantitative Biology 2025-12-25 Yaoyue Wang , Arian Ashourvan , Guilherme Ramos , Paul Bogdan , Emily Pereira

Epilepsy is one of the most common neurological disorders, affecting about 1% of the population at all ages. Detecting the development of epilepsy, i.e., epileptogenesis (EPG), before any seizures occur could allow for early interventions…

Machine Learning · Computer Science 2020-06-18 Diyuan Lu , Sebastian Bauer , Valentin Neubert , Lara Sophie Costard , Felix Rosenow , Jochen Triesch

Recently, substantial progress has been made in the area of Brain-Computer Interface (BCI) using modern machine learning techniques to decode and interpret brain signals. While Electroencephalography (EEG) has provided a non-invasive method…

Signal Processing · Electrical Eng. & Systems 2020-10-26 Nik Khadijah Nik Aznan , Amir Atapour-Abarghouei , Stephen Bonner , Jason D. Connolly , Toby P. Breckon

The Epilepsies are a common, chronic neurological disorder affecting more than 50 million individuals across the globe. It is characterized by unprovoked, recurring (similar or different type) seizures which are commonly diagnosed through…

Signal Processing · Electrical Eng. & Systems 2021-08-03 Palak Handa , Monika Mathur , Nidhi Goel

We explore the use of neural networks trained with dropout in predicting epileptic seizures from electroencephalographic data (scalp EEG). The input to the neural network is a 126 feature vector containing 9 features for each of the 14 EEG…

Machine Learning · Computer Science 2019-02-05 Siddharth Pramod , Adam Page , Tinoosh Mohsenin , Tim Oates

Epilepsy is a prevalent neurological disorder affecting 50 million individuals worldwide and 1.2 million Americans. There exist millions of pediatric patients with intractable epilepsy, a condition in which seizures fail to come under…

Machine Learning · Computer Science 2023-09-07 Bliss Singhal , Fnu Pooja

Epilepsy is a neurological brain disorder which life threatening and gives rise to recurrent seizures that are unprovoked. It occurs due to the abnormal chemical changes in our brain. Over the course of many years, studies have been…

Signal Processing · Electrical Eng. & Systems 2022-10-13 Muhammad Shoaib Farooq , Aimen Zulfiqar , Shamyla Riaz

Epilepsy is a disorder characterised by spontaneous, recurrent seizures. Both local and network abnormalities have been associated with epilepsy, and the exact processes generating seizures are thought to be heterogeneous and…

Neurons and Cognition · Quantitative Biology 2019-01-07 Yujiang Wang , Gabrielle Marie Schroeder , Nishant Sinha , Peter Neal Taylor

Epileptic seizures detection and forecasting is nowadays widely recognized as a problem of great significance and social resonance, and still remains an open, grand challenge. Furthermore, the development of mobile warning systems and…

Quantitative Methods · Quantitative Biology 2018-12-10 Roberto Zingone , Chiara Mocenni , Dario Madeo

Epilepsy is one of the common neurological disorders characterized by recurrent and uncontrollable seizures, which seriously affect the life of patients. In many cases, electroencephalograms signal can provide important physiological…

Neurons and Cognition · Quantitative Biology 2023-08-15 Mohammad Reza Yousefi , Saina Golnejad , Melika Mohammad Hosseini , Amin Dehghani