[PDF][PDF] Integrated CWT-CNN for epilepsy detection using multiclass EEG dataset
Electroencephalography is a common clinical procedure to record brain signals generated
by human activity. EEGs are useful in Brain controlled interfaces and other intelligent …
by human activity. EEGs are useful in Brain controlled interfaces and other intelligent …
Epilepsy detection from eeg data using a hybrid cnn-lstm model
Abstract 'An epileptic seizure', a neurological disorder, occurs when electric burst travel over
the brain, causing the person to lose control or consciousness. Anticipating epilepsy when …
the brain, causing the person to lose control or consciousness. Anticipating epilepsy when …
Epileptic seizures detection in EEG signals using fusion handcrafted and deep learning features
Epilepsy is a brain disorder disease that affects people's quality of life.
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …
Hybrid one-dimensional CNN and DNN model for classification epileptic seizure
Epilepsy is a common chronic brain disease caused by abnormal neuronal activity and the
occurrence of sudden or transient seizures. Electroencephalogram (EEG) is a non-invasive …
occurrence of sudden or transient seizures. Electroencephalogram (EEG) is a non-invasive …
A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data
Background: Diagnosing epileptic seizures using electroencephalogram (EEG) in
combination with deep learning computational methods has received much attention in …
combination with deep learning computational methods has received much attention in …
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 …
CNN based framework for detection of epileptic seizures
Epilepsy is a common neurological disease that uses electroencephalogram (EEG) data for
its detection purpose. Neurologists make the diagnosis by visual inspection of EEG reports …
its detection purpose. Neurologists make the diagnosis by visual inspection of EEG reports …
Epileptic seizure detection using continuous wavelet transform and deep neural networks
Seizure event detection by manually analyzing electroencephalogram (EEG) data is a
routine process in epilepsy units done by trained professionals. Misdiagnosis of epileptic …
routine process in epilepsy units done by trained professionals. Misdiagnosis of epileptic …
A recent investigation on detection and classification of epileptic seizure techniques using EEG signal
The benefits of early detection and classification of epileptic seizures in analysis, monitoring
and diagnosis for the realization and actualization of computer-aided devices and recent …
and diagnosis for the realization and actualization of computer-aided devices and recent …
Brain Epileptic Seizure Detection using Joint CNN and Exhaustive Feature Selection with RNN-BLSTM Classifier
CSL Prasanna, MZU Rahman, MD Bayleyegan - IEEE Access, 2023 - ieeexplore.ieee.org
Brain Epilepsy seizure is a critical disorder, which is an uncontrolled burst of electrical
activity of brain. The early detection of brain seizure can save the life of humans. The …
activity of brain. The early detection of brain seizure can save the life of humans. The …