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Epilepsy is a well-known neuronal disorder that can be identified by interpretation of the electroencephalogram (EEG) signal. Usually, the length of an EEG signal is quite long which is challenging to interpret manually. In this work, we…

机器学习 · 计算机科学 2019-03-07 Md Mursalin , Syed Shamsul Islam , Md Kislu Noman , Adel Ali Al-Jumaily

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…

机器学习 · 计算机科学 2021-11-08 Shivam Gupta , Jyoti Meena , O. P Gupta

Controlling the surrounding world and predicting future events has always seemed like a dream, but that could become a reality using a Brain-Computer/Machine Interface (BCI/BMI). Epilepsy is a group of neurological diseases characterized by…

信号处理 · 电气工程与系统科学 2019-06-10 Zaghloul Saad Zaghloul , Magdy Bayoumi

Epilepsy is a neurological condition such that it affects the brain and the nervous system. It is characterized by recurrent seizures, which are physical reactions to sudden, usually brief, excessive electrical discharges in a group of…

信号处理 · 电气工程与系统科学 2018-07-30 Asmaa Hamad , Aboul Ella Hassanien , Aly A. Fahmy , Essam H. Houssein

Epilepsy is the fourth most common neurological disorder, affecting about 1% of the population at all ages. As many as 60% of people with epilepsy experience focal seizures which originate in a certain brain area and are limited to part of…

机器学习 · 计算机科学 2019-03-20 Diyuan Lu , Jochen Triesch

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…

机器学习 · 计算机科学 2025-10-30 Ria Jayanti , Tanish Jain

Identifying seizure activities in non-stationary electroencephalography (EEG) is a challenging task, since it is time-consuming, burdensome, and dependent on expensive human resources and subject to error and bias. A computerized seizure…

信号处理 · 电气工程与系统科学 2020-04-29 S. Sheykhivand , T. Yousefi Rezaii , Z. Mousavi , A. Delpak , A. Farzamnia

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…

机器学习 · 计算机科学 2023-09-07 Bliss Singhal , Fnu Pooja

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 disorder of the brain denoted by frequent seizures. The symptoms of seizure include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand movements. Epileptic seizure detection methods involve neurological…

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…

信号处理 · 电气工程与系统科学 2020-11-19 Zaid Bin Tariq , Arun Iyengar , Lara Marcuse , Hui Su , Bülent Yener

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…

机器学习 · 计算机科学 2019-10-08 Haotian Liu , Lin Xi , Ying Zhao , Zhixiang Li

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…

机器学习 · 计算机科学 2024-10-10 Shriya Jaddu , Sidh Jaddu , Camilo Gutierrez , Quincy K. Tran

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…

信号处理 · 电气工程与系统科学 2020-01-20 Tennison Liu , Nhan Duy Truong , Armin Nikpour , Luping Zhou , Omid Kavehei

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…

神经元与认知 · 定量生物学 2023-08-15 Mohammad Reza Yousefi , Saina Golnejad , Melika Mohammad Hosseini , Amin Dehghani

Epilepsy is a disorder of the nervous system that can affect people of any age group. With roughly 50 million people worldwide diagnosed with the disorder, it is one of the most common neurological disorders. The EEG is an indispensable…

种群与进化 · 定量生物学 2022-02-21 Niamh McCallan , Scot Davidson , Kok Yew Ng , Pardis Biglarbeigi , Dewar Finlay , Boon Leong Lan , James McLaughlin

Epilepsy is a chronic neurological disorder affecting more than 65 million people worldwide and manifested by recurrent unprovoked seizures. The unpredictability of seizures not only degrades the quality of life of the patients, but it can…

信号处理 · 电气工程与系统科学 2019-11-13 Damian Pascual , Amir Aminifar , David Atienza , Philippe Ryvlin , Roger Wattenhofer

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…

计算机视觉与模式识别 · 计算机科学 2020-11-20 Theekshana Dissanayake , Tharindu Fernando , Simon Denman , Sridha Sridharan , Clinton Fookes

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,…

机器学习 · 计算机科学 2025-08-08 Andrea Pollastro , Francesco Isgrò , Roberto Prevete

Epilepsy is the most common, chronic, neurological disease worldwide and is typically accompanied by reoccurring seizures. Neuro implants can be used for effective treatment by suppressing an upcoming seizure upon detection. Due to the…

信号处理 · 电气工程与系统科学 2025-05-12 Julia Werner , Bhavya Kohli , Paul Palomero Bernardo , Christoph Gerum , Oliver Bringmann