An artificial neural network model for epilepsy seizure detection
MZ Abedin, S Akther… - 2019 5th International …, 2019 - ieeexplore.ieee.org
Epilepsy, neurological disorder, exposed by recrudescent seizures affects many people
throughout the entire world. Visual inspection of encephalography (EEG) recorded by …
throughout the entire world. Visual inspection of encephalography (EEG) recorded by …
Efficient approach to detect epileptic seizure using machine learning models for modern healthcare system
Epileptic seizure is one of the common neurological disorder now a day. But this is curable if
it can be detected in the early stage. So, this research become a necessity in the early …
it can be detected in the early stage. So, this research become a necessity in the early …
Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model
SK Pandey, RR Janghel, PK Mishra… - Signal, Image and Video …, 2023 - Springer
Epilepsy is a neurological disorder that affects the normal functioning of the brain. More than
10% of the population across the globe is affected by this disorder. Electroencephalogram …
10% of the population across the globe is affected by this disorder. Electroencephalogram …
A review on epileptic seizure detection using machine learning
Epilepsy is a neurological brain disorder which life threatening and gives rise to recurrent
seizures that are unprovoked. It occurs due to the abnormal chemical changes in our brain …
seizures that are unprovoked. It occurs due to the abnormal chemical changes in our brain …
Detection of epileptic seizures using eeg signals
S Gupta, S Bagga, V Maheshkar… - … Conference on Artificial …, 2020 - ieeexplore.ieee.org
Epilepsy is a neurological disorder which causes abnormal brain activity such as seizures.
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …
[HTML][HTML] Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches
S Mekruksavanich, A Jitpattanakul - Machine Learning and Knowledge …, 2023 - mdpi.com
Epileptic seizures are a prevalent neurological condition that impacts a considerable portion
of the global population. Timely and precise identification can result in as many as 70% of …
of the global population. Timely and precise identification can result in as many as 70% of …
Epilepsy detection with multi-channel EEG signals utilizing Alexnet
In this work, we investigate epilepsy seizure detection using machine learning. In the
literature, a machine learning model is usually trained to help automate the epileptic …
literature, a machine learning model is usually trained to help automate the epileptic …
A comparative assessment of machine learning techniques for epilepsy detection using eeg signal
Epilepsy is a psychological issue that causes ridiculous, repetitive seizures. A seizure is an
unexpected surge of electrical activity in the cerebrum. Since traditional time or recurrence …
unexpected surge of electrical activity in the cerebrum. Since traditional time or recurrence …
Epileptic seizure detection using convolutional neural networks and recurrence plots of EEG signals
Epilepsy is a neurological disorder causing abnormal activities in the brain such as seizures,
unusual behavior, sensations and loss of awareness. This disorder can be diagnosed with …
unusual behavior, sensations and loss of awareness. This disorder can be diagnosed with …
A review of machine learning approaches for epileptic seizure prediction
Epilepsy is a neurological disorder that causes unusual behavior, sensations, and, in some
cases, loss of awareness. It is accompanied by seizures, which are intervals of unusual …
cases, loss of awareness. It is accompanied by seizures, which are intervals of unusual …