Analysis of EEG signal for seizure detection based on WPT

A Arı - Electronics Letters, 2020 - Wiley Online Library
Electroencephalogram (EEG) is a diagnostic method that provides information about the
functioning of the brain. EEG can be used to diagnose the abnormally functioning part of the …

Epileptic seizure prediction and classification based on statistical features using LSTM fully connected neural network

S Goel, R Agrawal, RK Bharti - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Epilepsy is the most common neurological disorder by which over 65 million people are
affected across the world. Recent research has shown a very large interest to predict and …

Comparative Study on Epilepsy Prediction Using Modern Techniques

KS Biju - … on Control, Communication and Computing (ICCC), 2023 - ieeexplore.ieee.org
Epilepsy is a persistent, contagious brain condition that affects about 50 million individuals
worldwide. It is characterized by repeated epilepsy, which are short lived bursts of jerking …

An Efficient Seizure Prediction System using Convolutional Neural Network and Scalogram of the EEG Signals

VJ Thomas, AS Dhas - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Epilepsy is a life-threatening neurological illness that affects millions of people throughout
the world. The most common symptom of epilepsy is seizures. Seizures are characterized by …

Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals

P Kunekar, C Kumawat, V Lande, S Lokhande… - Engineering …, 2024 - mdpi.com
Recurrent seizures are a symptom of a central nervous system disease called epilepsy. The
duration of these seizures lasts less than a few seconds or sometimes minutes. There are …

[PDF][PDF] Prediction and detection of epileptic seizure by analysing EEG signals

MZ Parvez, M Paul - Charles Sturt University, Australia, 2015 - academia.edu
Epilepsy is one of the common neurological disorders characterized by a sudden and
recurrent malfunction of the brain that is termed “seizure”, affecting around 50 million …

A review on epileptic seizure detection and prediction using soft computing techniques

S Chakrabarti, A Swetapadma, PK Pattnaik - Smart Techniques for a …, 2019 - Springer
Epilepsy is a disorder of the central nervous system in which a considerably large number of
neurons at a certain instance of time show abnormal electrical activity. Worldwide according …

Epilepsy Prediction Using Spark

P Pravalika, S Shabeer, J Meenakshi… - Conference of Innovative …, 2022 - Springer
One of the most frequent neurological disorders in the world is epilepsy. The ability to detect
upcoming seizures early has a significant impact on the lives of epileptic patients. In this …

Expert model for detection of epileptic activity in EEG signature

T Gandhi, BK Panigrahi, M Bhatia, S Anand - Expert Systems with …, 2010 - Elsevier
Seizure detection and classification using signal processing methods has been an important
issue of research for the last two decades. In the present study, a novel scheme was …

Deep‐learning‐based seizure detection and prediction from electroencephalography signals

FE Ibrahim, HM Emara, W El‐Shafai… - International Journal …, 2022 - Wiley Online Library
Electroencephalography (EEG) is among the main tools used for analyzing and diagnosing
epilepsy. The manual analysis of EEG must be conducted by highly trained clinicians or …