Generalisability of epileptiform patterns across time and patients
H Karimi-Rouzbahani, A McGonigal - Scientific Reports, 2024 - nature.com
The complexity of localising the epileptogenic zone (EZ) contributes to surgical resection
failures in achieving seizure freedom. The distinct patterns of epileptiform activity during …
failures in achieving seizure freedom. The distinct patterns of epileptiform activity during …
Automatic focal EEG identification based on deep reinforcement learning
X Liu, X Ding, J Liu, W Nie, Q Yuan - Biomedical Signal Processing and …, 2023 - Elsevier
Electroencephalogram (EEG) signals convey information about the electrical activity of
neurons and are commonly used in clinical practice to evaluate the epileptic activity of …
neurons and are commonly used in clinical practice to evaluate the epileptic activity of …
Epileptic Seizure Classification Based on Random Neural Networks Using Discrete Wavelet Transform for Electroencephalogram Signal Decomposition
An epileptic seizure is a brief episode of symptoms and signs caused by excessive electrical
activity in the brain. One of the major chronic neurological diseases, epilepsy, affects …
activity in the brain. One of the major chronic neurological diseases, epilepsy, affects …
Special Issue on Deep Learning for Electroencephalography (EEG) Data Analysis
Brain–computer interfaces (BCI) have emerged as a groundbreaking and transformative
technology enabling communication between humans and computers through neural …
technology enabling communication between humans and computers through neural …
Automated Classification of Focal and Non-focal Epileptic iEEG Signals using 1D-Convolutional Neural Network
AS Jangde, DS Sisodia - 2023 2nd International Conference …, 2023 - ieeexplore.ieee.org
Epilepsy affects 1% of the population across all age groups, making it the fourth most
dangerous brain disorder diagnosed worldwide. The seizures, limited to a specific area of …
dangerous brain disorder diagnosed worldwide. The seizures, limited to a specific area of …
Investigation of Optimal Components and Parameters of the Incremental PCA-based LSTM Network for Detection of EEG Epileptic Seizure Events
Prediction of Epileptic seizures is highly imperative to improve the epileptic patient's life.
Epileptic seizures occur due to brain cells excessive abnormal activity that leads to …
Epileptic seizures occur due to brain cells excessive abnormal activity that leads to …
EEG Signal Classification using Deep Transfer Learning Technique in an Internet of Medical Things Environment
PR Saxena, D Chauhan - 2022 Second International …, 2022 - ieeexplore.ieee.org
Successful categorization of epileptic electroencephalogram (EEG) signals is a crucial part
in making a correct diagnosis of epilepsy. The findings of an electroencephalogram (EEG) …
in making a correct diagnosis of epilepsy. The findings of an electroencephalogram (EEG) …