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Related papers: Demo: Multi-Modal Seizure Prediction System

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In this paper, we introduce SeizNet, a closed-loop system for predicting epileptic seizures through the use of Deep Learning (DL) method and implantable sensor networks. While pharmacological treatment is effective for some epilepsy…

This paper introduces an innovative framework designed for progressive (granular in time to onset) prediction of seizures through the utilization of a Deep Learning (DL) methodology based on non-invasive multi-modal sensor networks.…

Signal Processing · Electrical Eng. & Systems 2024-11-05 Ali Saeizadeh , Douglas Schonholtz , Joseph S. Neimat , Pedram Johari , Tommaso Melodia

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

Epilepsy is one of the most common neurological disorders affecting up to 1% of the world's population and approximately 2.5 million people in the United States. Seizures in more than 30% of epilepsy patients are refractory to…

Signal Processing · Electrical Eng. & Systems 2019-08-23 Md Abu Sayeed , Saraju P. Mohanty , Elias Kougianos

Seizure type identification is essential for the treatment and management of epileptic patients. However, it is a difficult process known to be time consuming and labor intensive. Automated diagnosis systems, with the advancement of machine…

Signal Processing · Electrical Eng. & Systems 2023-03-09 Hezam Albaqami , Ghulam Mubashar Hassan , Amitava Datta

Epilepsy is a chronic neurological disorder characterized by recurrent unprovoked seizures, affects over 50 million people worldwide, and poses significant risks, including sudden unexpected death in epilepsy (SUDEP). Conventional unimodal…

Neural and Evolutionary Computing · Computer Science 2026-01-12 Ijaz Ahmad , Faizan Ahmad , Sunday Timothy Aboyeji , Yongtao Zhang , Peng Yang , Javed Ali Khan , Rab Nawaz , Baiying Lei

Epilepsy is a prevalent neurological disorder that affects millions of individuals globally, and continuous monitoring coupled with automated seizure detection appears as a necessity for effective patient treatment. To enable long-term care…

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

Epilepsy, affecting approximately 50 million people globally, is characterized by abnormal brain activity and remains challenging to treat. The diagnosis of epilepsy relies heavily on electroencephalogram (EEG) data, where specialists…

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

Automatic classification of epileptic seizure types in electroencephalograms (EEGs) data can enable more precise diagnosis and efficient management of the disease. This task is challenging due to factors such as low signal-to-noise ratios,…

Machine Learning · Computer Science 2020-10-01 Umar Asif , Subhrajit Roy , Jianbin Tang , Stefan Harrer

Epilepsy represents the most prevalent neurological disease in the world. One-third of people suffering from mesial temporal lobe epilepsy (MTLE) exhibit drug resistance, urging the need to develop new treatments. A key part in anti-seizure…

Epilepsy affects more than 50 million people worldwide, making it one of the world's most prevalent neurological diseases. The main symptom of epilepsy is seizures, which occur abruptly and can cause serious injury or death. The ability to…

Signal Processing · Electrical Eng. & Systems 2024-02-06 Zakary Georgis-Yap , Milos R. Popovic , Shehroz S. Khan

Objective: Epilepsy is one of the most prevalent neurological diseases among humans and can lead to severe brain injuries, strokes, and brain tumors. Early detection of seizures can help to mitigate injuries, and can be used to aid the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-20 Theekshana Dissanayake , Tharindu Fernando , Simon Denman , Sridha Sridharan , Clinton Fookes

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

The prediction of epileptic seizure has always been extremely challenging in medical domain. However, as the development of computer technology, the application of machine learning introduced new ideas for seizure forecasting. Applying…

Machine Learning · Computer Science 2019-10-08 Haotian Liu , Lin Xi , Ying Zhao , Zhixiang Li

A seizure tracking system is crucial for monitoring and evaluating epilepsy treatments. Caretaker seizure diaries are used in epilepsy care today, but clinical seizure monitoring may miss seizures. Monitoring devices that can be worn may be…

Machine Learning · Computer Science 2023-09-07 Zag ElSayed , Murat Ozer , Nelly Elsayed , Ahmed Abdelgawad

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

The electroencephalogram (EEG) is one of the most precious technologies to understand the happenings inside our brain and further understand our body's happenings. Automatic prediction of oncoming seizures using the EEG signals helps the…

Signal Processing · Electrical Eng. & Systems 2022-11-08 Abhijeet Bhattacharya

The unpredictability of seizures continues to distress many people with drug-resistant epilepsy. On account of recent technological advances, considerable efforts have been made using different hardware technologies to realize smart devices…

Emerging Technologies · Computer Science 2022-02-21 Corey Lammie , Wei Xiang , Mostafa Rahimi Azghadi
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