[PDF][PDF] Ensemble Machine Learning Based Identification of Pediatric Epilepsy.

SM Alotaibi, MI Basheer, MA Khan - Computers, Materials & …, 2021 - academia.edu
Epilepsy is a type of brain disorder that causes recurrent seizures. It is the second most
common neurological disease after Alzheimer's. The effects of epilepsy in children are …

A review on machine learning approaches in identification of pediatric epilepsy

MIB Ahmed, S Alotaibi, S Dash, M Nabil… - SN computer science, 2022 - Springer
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …

[PDF][PDF] Epileptic seizure detection using a neural network ensemble method and wavelet transform

R Ebrahimpour, K Babakhan, SAAA Arani… - Neural Network …, 2012 - researchgate.net
This paper presents a new method to automate the process of epileptic seizure detection in
electroencephalogram (EEG) signals using wavelet transform and an improved version of …

A review of epileptic seizure detection using machine learning classifiers

MK Siddiqui, R Morales-Menendez, X Huang… - Brain informatics, 2020 - Springer
Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain
signals produced by brain neurons. Neurons are connected to each other in a complex way …

Epileptic EEG detection using neural networks and post-classification

LM Patnaik, OK Manyam - Computer methods and programs in …, 2008 - Elsevier
Electroencephalogram (EEG) has established itself as an important means of identifying and
analyzing epileptic seizure activity in humans. In most cases, identification of the epileptic …

Analyzing performance of classification techniques in detecting epileptic seizure

MK Siddiqui, MZ Islam, MA Kabir - … 2017, Singapore, November 5–6, 2017 …, 2017 - Springer
Epileptic seizure detection is a challenging research topic. The objective of this research is
to analyze the performance of various classification techniques while detecting the epileptic …

Application of machine learning in epileptic seizure detection

LV Tran, HM Tran, TM Le, TTM Huynh, HT Tran… - Diagnostics, 2022 - mdpi.com
Epileptic seizure is a neurological condition caused by short and unexpectedly occurring
electrical disruptions in the brain. It is estimated that roughly 60 million individuals worldwide …

[HTML][HTML] An adaptive method for feature selection and extraction for classification of epileptic EEG signal in significant states

V Harpale, V Bairagi - Journal of King Saud University-Computer and …, 2021 - Elsevier
Electroencephalography (EEG) is a measurement tool to measure the electrical activity of
brain observed due to chemical variation in brain. The EEG analysis has important role in …

Comparative Analysis of Classifiers for Developing an Adaptive Computer‐Assisted EEG Analysis System for Diagnosing Epilepsy

MA Ahmad, Y Ayaz, M Jamil… - BioMed research …, 2015 - Wiley Online Library
Computer‐assisted analysis of electroencephalogram (EEG) has a tremendous potential to
assist clinicians during the diagnosis of epilepsy. These systems are trained to classify the …

Auto-detection of epileptic seizure events using deep neural network with different feature scaling techniques

DK Thara, BG PremaSudha, F Xiong - Pattern Recognition Letters, 2019 - Elsevier
Misdiagnosis of epilepsy is more seen in manual analysis of electroencephalogram (EEG)
signals for epileptic seizure event detection. Therefore, automated systems for epilepsy …