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Related papers: Anticipating epileptic seizures through the analys…

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Electroencephalogram, an influential equipment for analyzing humans activities and recognition of seizure attacks can play a crucial role in designing accurate systems which can distinguish ictal seizures from regular brain alertness, since…

Signal Processing · Electrical Eng. & Systems 2018-06-26 Amirmasoud Ahmadi , Mahsa Behroozi , Vahid Shalchyan , Mohammad Reza Daliri

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

The time series captured by a single scalp electrode (plus the reference electrode) of refractory epileptic patients is used to forecast seizures susceptibility. The time series is preprocessed, segmented, and each segment transformed into…

Machine Learning · Computer Science 2022-06-30 Tiago Leal , Antonio Dourado , Fabio Lopes , Cesar Teixeira

In clinical neuroscience, epileptic seizures have been associated with the sudden emergence of coupled activity across the brain. The resulting functional networks - in which edges indicate strong enough coupling between brain regions - are…

Applications · Statistics 2021-02-25 Xiaojing Zhu , Heather Shappell , Mark A. Kramer , Catherine J. Chu , Eric D. Kolaczyk

Diagnosing epilepsy requires accurate seizure detection and classification, but traditional manual EEG signal analysis is resource-intensive. Meanwhile, automated algorithms often overlook EEG's geometric and semantic properties critical…

Signal Processing · Electrical Eng. & Systems 2024-05-17 Arash Hajisafi , Haowen Lin , Yao-Yi Chiang , Cyrus Shahabi

Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in developing such a system as a real-life support for…

Machine Learning · Computer Science 2017-02-20 Mohammad-Parsa Hosseini , Hamid Soltanian-Zadeh , Kost Elisevich , Dario Pompili

Epilepsy is a dynamic and complex neurological disease affecting about 1% of the worldwide population, among which 30% of the patients are drug-resistant. Epilepsy is characterized by recurrent episodes of paroxysmal neural discharges (the…

Neurons and Cognition · Quantitative Biology 2021-01-27 Elif Köksal Ersöz , Julien Modolo , Fabrice Bartolomei , Fabrice Wendling

Objective: Epilepsy, a prevalent neurological disease, demands careful diagnosis and continuous care. Seizure detection remains challenging, as current clinical practice relies on expert analysis of electroencephalography, which is a…

Machine Learning · Computer Science 2025-09-18 Amirhossein Shahbazinia , Jonathan Dan , Jose A. Miranda , Giovanni Ansaloni , David Atienza

Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach. Manual inspection of EEG brain signals is a time-consuming and laborious process, which puts heavy burden on neurologists…

Computer Vision and Pattern Recognition · Computer Science 2018-01-17 Ihsan Ullah , Muhammad Hussain , Emad-ul-Haq Qazi , Hatim Aboalsamh

The analysis of electrophysiological signal of scalp: EEG (electroencephalography), MEG (magnetoencephalography) and depth (intracerebral EEG) IEEG is a way to delimit epileptogenic zone (EZ). These epileptic signals present two different…

Signal Processing · Electrical Eng. & Systems 2019-11-19 Amira Hajjeji , Nawel Jmail , Abir Hadriche , Amal Ncibi , Chokri Ben Amar

Epilepsy is one of the most common brain diseases that affect more than 1\% of the world's population. It is characterized by recurrent seizures, which come in different types and are treated differently. Electroencephalography (EEG) is…

Signal Processing · Electrical Eng. & Systems 2022-06-09 Hezam Albaqami , Ghulam Mubashar Hassan , Amitava Datta

Predicting seizure freedom is essential for tailoring epilepsy treatment. But accurate prediction remains challenging with traditional methods, especially with diverse patient populations. This study developed a deep learning-based graph…

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

Over the past few decades, electroencephalography (EEG) monitoring has become a pivotal tool for diagnosing neurological disorders, particularly for detecting seizures. Epilepsy, one of the most prevalent neurological diseases worldwide,…

Machine Learning · Computer Science 2025-08-08 Andrea Pollastro , Francesco Isgrò , Roberto Prevete

Epilepsy is one of the most common neurological disorders globally, affecting millions of individuals. Despite significant advancements, the precise mechanisms underlying this condition remain largely unknown, making accurately predicting…

Systems and Control · Electrical Eng. & Systems 2024-04-05 Yuzhen Qin , Ahmed El-Gazzar , Danielle S. Bassett , Fabio Pasqualetti , Marcel van Gerven

Epilepsy or the occurrence of epileptic seizures, is one of the world's most well-known neurological disorders affecting millions of people. Seizures mostly occur due to non-coordinated electrical discharges in the human brain and may cause…

Machine Learning · Computer Science 2023-03-14 Hitesh Raju , Ankit Sharma , Aoife Smeaton , Alan F. Smeaton

Epilepsy affects nearly 1% of the global population, of which two thirds can be treated by anti-epileptic drugs and a much lower percentage by surgery. Diagnostic procedures for epilepsy and monitoring are highly specialized and…

Signal Processing · Electrical Eng. & Systems 2020-01-20 Tennison Liu , Nhan Duy Truong , Armin Nikpour , Luping Zhou , Omid Kavehei

Epilepsy is one of the most common neurological disorders, typically observed via seizure episodes. Epileptic seizures are commonly monitored through electroencephalogram (EEG) recordings due to their routine and low expense collection. The…

Signal Processing · Electrical Eng. & Systems 2023-01-10 İlkay Yıldız Potter , George Zerveas , Carsten Eickhoff , Dominique Duncan

Electroencephalogram (EEG) is a very promising and widely implemented procedure to study brain signals and activities by amplifying and measuring the post-synaptical potential arising from electrical impulses produced by neurons and…

Neurons and Cognition · Quantitative Biology 2023-04-05 Subhrangshu Adhikary , Kushal Jain , Biswajit Saha , Deepraj Chowdhury

Epilepsy affects over 50 million people worldwide, and one-third of patients suffer drug-resistant seizures where surgery offers the best chance of seizure freedom. Accurate localization of the epileptogenic zone (EZ) relies on intracranial…