Automatic seizure classification using CNN

P Yaswanth, AS Pranav, RI Minu - … International conference on …, 2020 - ieeexplore.ieee.org
In our world around one-third of people are suffering from seizures and these people must
have a continuous optimal medication process. Now a day's systems are developed with an …

Automatic prediction of epileptic seizure using hybrid deep ResNet-LSTM model

YP Singh, DK Lobiyal - AI communications, 2023 - content.iospress.com
Numerous advanced data processing and machine learning techniques for identifying
epileptic seizures have been developed in the last two decades. Nonetheless, many of …

Machine Learning and IoT Based EEG Signal Classification for Epileptic Seizures Detection

A Chittala, T Bhupathi, DP Alakunta… - … Conference on Recent …, 2021 - ieeexplore.ieee.org
Epilepsy is one of the most common chronic neurological disorders, affecting approximately
50 million people worldwide according to the World Health Organization. This disorder …

Epileptic seizure prediction using EEG images

F George, A Joseph, B Baby, A John… - 2020 International …, 2020 - ieeexplore.ieee.org
Epilepsy is a chronic neurological disorder where seizures occur due to the transient and
unexpected electrical disturbances of the brain. Epilepsy affects the quality of life of patients …

A CNN-LSTM hybrid network for automatic seizure detection in EEG signals

S Shanmugam, S Dharmar - Neural Computing and Applications, 2023 - Springer
Epilepsy is a chronic neurological disorder. Epileptics are prone to sudden seizures that
cause disruptions in their daily lives. The separation of epileptic and non-epileptic activity on …

Pre-processed and combined EEG data for epileptic seizure classification using deep learning

Y Zaid, M Sah, C Direkoglu - Biomedical Signal Processing and Control, 2023 - Elsevier
Epilepsy is a neurological disease that affects nearly 60 million people around the world.
Electroencephalography (EEG) and Machine Learning (ML) can be used to detect epileptic …

Implementation of Convolutional Neural Network for Epileptic Seizure Detection

S Loganathan, CM Sujatha, RG Nivash… - … in Engineering and …, 2022 - ieeexplore.ieee.org
Epilepsy is a neurological disorder and disability in which the brain activity becomes
abnormal causing seizures. A seizure is characterized by the unprovoked sudden alteration …

Efficient Epileptic Seizure Recognition System using the Multi-model Ensemble Method from EEG

D Bala, MA Islam, MA Hossain… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
As reported by the WHO, nearly 50 million people of all ages are affected by epilepsy
globally. In the brain, epilepsy manifests as a condition that is marked by repeated …

Predicting Epileptic Seizures using Ensemble Method

PC Noble-Nnakenyi, KA Olatunji… - 2022 5th Information …, 2022 - ieeexplore.ieee.org
Medication or surgical treatment is the techniques used for people diagnosed with epilepsy,
but these procedures are not completely effective. Nevertheless, therapeutic method can be …

Data mining with deep learning in biomedical data

K Singh, J Malhotra - Predictive Modeling in Biomedical Data Mining and …, 2022 - Elsevier
In the era of technological advances, the health-care sector is going through a ground-
breaking transition by shifting the traditional approach of physical examination of patients to …