Epileptic seizures classification based on deep neural networks
A Swetha, AK Sinha - Proceedings of the International Conference on …, 2021 - Springer
Epileptic seizure is a chronic and non-communicable disease which occurs in people of all
ages. In the detection of epileptic seizures, electroencephalography (EEG) plays a vital role …
ages. In the detection of epileptic seizures, electroencephalography (EEG) plays a vital role …
Epileptic seizure classification using LSTM
Epilepsy is a neurological disease which is non transmissible and affects across all ages. It
is signalized by observing repetitions of seizures. Main causes of epilepsy are head injuries …
is signalized by observing repetitions of seizures. Main causes of epilepsy are head injuries …
Classification of epileptic seizure using machine learning and deep learning based on electroencephalography (EEG)
Epilepsy is a type of neurological brain disorder due to a temporary change in the brain's
electrical function. If diagnosed and treated, there can be no seizures …
electrical function. If diagnosed and treated, there can be no seizures …
A comparative study of deep learning algorithms for epileptic seizure classification
YP Singh, DK Lobiyal - 2022 international conference on …, 2022 - ieeexplore.ieee.org
Epilepsy is a potentially lethal and widespread common neurodegenerative illness that
affects millions of people worldwide. Electroencephalography (EEG) is a test used to …
affects millions of people worldwide. Electroencephalography (EEG) is a test used to …
Epileptic seizure detection using LSTM: A deep learning technique
Epilepsy is one of the most devastating diseases in the history of mankind. It is a
neurological disorder in which irregular transmission of brainwaves results in seizures …
neurological disorder in which irregular transmission of brainwaves results in seizures …
EEG-based classification of epileptic seizure types using deep network model
H Alshaya, M Hussain - Mathematics, 2023 - mdpi.com
Accurately identifying the seizure type is vital in the treatment plan and drug prescription for
epileptic patients. The most commonly adopted test for identifying epileptic seizures is …
epileptic patients. The most commonly adopted test for identifying epileptic seizures is …
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 …
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 …
Automatic epileptic signal classification using deep convolutional neural network
D Sinha, K Thangavel - Journal of Discrete Mathematical Sciences …, 2022 - Taylor & Francis
Epilepsy is a neurological illness that causes seizures in the brain and affects a huge
number of people worldwide. Electroencephalography (EEG) is the most commonly used …
number of people worldwide. Electroencephalography (EEG) is the most commonly used …
Epilepsy Seizure Classification Using One-Dimensional Convolutional Neural Networks
G Manocha, H Rustagi, SP Singh, R Jain… - … , Analytics and Innovation …, 2022 - Springer
In this paper, the authors are classifying time series electroencephalogram (EEG) data as
epilepsy or not. Epilepsy is a type neurological disorder which affects around one …
epilepsy or not. Epilepsy is a type neurological disorder which affects around one …