Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter …
L Hussain - Cognitive neurodynamics, 2018 - Springer
Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the
brain. The research reveals that brain activity is monitored through electroencephalogram …
brain. The research reveals that brain activity is monitored through electroencephalogram …
Detection of epileptic seizure from EEG signal data by employing machine learning algorithms with hyperparameter optimization
AA Rahman, F Faisal, MM Nishat… - … Conference on Bio …, 2021 - ieeexplore.ieee.org
Epileptic seizure refers to a brief occurrence of signs in the brain caused by abnormally high
or synchronized neuronal activity. With the utilization of EEG signal, the epileptic seizure can …
or synchronized neuronal activity. With the utilization of EEG signal, the epileptic seizure can …
Detection of epileptic seizures through EEG signals using entropy features and ensemble learning
M Dastgoshadeh, Z Rabiei - Frontiers in human neuroscience, 2023 - frontiersin.org
Introduction Epilepsy is a disorder of the central nervous system that is often accompanied
by recurrent seizures. World health organization (WHO) estimated that more than 50 million …
by recurrent seizures. World health organization (WHO) estimated that more than 50 million …
Application of machine learning in epileptic seizure detection
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 …
electrical disruptions in the brain. It is estimated that roughly 60 million individuals worldwide …
[HTML][HTML] Electroencephalogram signal classification for automated epileptic seizure detection using genetic algorithm
BS Nanthini, B Santhi - Journal of natural science, biology, and …, 2017 - ncbi.nlm.nih.gov
Background: Epilepsy causes when the repeated seizure occurs in the brain.
Electroencephalogram (EEG) test provides valuable information about the brain functions …
Electroencephalogram (EEG) test provides valuable information about the brain functions …
Epilepsy detection in EEG signal using recurrent neural network
I Aliyu, YB Lim, CG Lim - Proceedings of the 2019 3rd International …, 2019 - dl.acm.org
In this paper, we proposed a Recurrent Neural Network (RNN) for the classification of
epileptic EEG signal. The EEG dataset is first preprocessed using Discrete Wavelet …
epileptic EEG signal. The EEG dataset is first preprocessed using Discrete Wavelet …
Automatic epileptic seizure detection using MSA-DCNN and LSTM techniques with EEG signals
M Anita, AM Kowshalya - Expert Systems with Applications, 2024 - Elsevier
To identify epilepsy, Electroencephalography (EEG) is an important and common tool used
to study the electrical activity of the human brain. The machine learning-based classifier is …
to study the electrical activity of the human brain. The machine learning-based classifier is …
Evaluating the window size's role in automatic EEG epilepsy detection
Electroencephalography is one of the most commonly used methods for extracting
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
W Chen, Y Wang, Y Ren, H Jiang, G Du… - BMC Medical informatics …, 2023 - Springer
Background Epilepsy is a neurological disorder that is usually detected by
electroencephalogram (EEG) signals. Since manual examination of epilepsy seizures is a …
electroencephalogram (EEG) signals. Since manual examination of epilepsy seizures is a …
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals
Background and objective Epilepsy is a prevalent disorder that affects the central nervous
system, causing seizures. In the current study, a novel algorithm is developed using …
system, causing seizures. In the current study, a novel algorithm is developed using …