Patient-specific seizure prediction using the convolutional neural networks
An epileptic seizure is a disease of the central nervous system caused by abnormal activity
generated by neurons in the brain. Seizure reduces the quality of life of epileptic patients …
generated by neurons in the brain. Seizure reduces the quality of life of epileptic patients …
Use of artificial neural networks for classification intracraneal EEG signals from epileptic patients
An epileptic seizure is an episode of abnormal electrical brain activity that might involve
partial or total consciousness loss and/or involuntary movements among others …
partial or total consciousness loss and/or involuntary movements among others …
[HTML][HTML] Automatic detection of various epileptic seizures from EEG signal using deep learning networks
Using an intelligent method to automatically detect epileptic seizures in medical applications
is one of the most important challenges in recent years to reduce the workload of doctors in …
is one of the most important challenges in recent years to reduce the workload of doctors in …
An Epileptic Seizure Detection and Classification Based on Machine Learning Techniques
There are a range of common neurological diseases referred to as epilepsy, and the term is
used to describe seizures that are uncontrollable due to abnormal electrical discharges in …
used to describe seizures that are uncontrollable due to abnormal electrical discharges in …
Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Network
N Mustaqeem, T Rahman, JFBK Priyo… - … Conference on Machine …, 2022 - Springer
The paper proposes a generalized approach for epileptic seizure prediction rather than a
patient-specific approach. The early diagnosis of seizures may assist in reducing the …
patient-specific approach. The early diagnosis of seizures may assist in reducing the …
Real-time epileptic seizure prediction based on online monitoring of pre-ictal features
H Sadeghzadeh, H Hosseini-Nejad… - Medical & biological …, 2019 - Springer
Reliable prediction of epileptic seizures is of prime importance as it can drastically change
the quality of life for patients. This study aims to propose a real-time low computational …
the quality of life for patients. This study aims to propose a real-time low computational …
Process efficient artificial neural network-based approach for channel selection and classification of seizures
T Rajesh Kumar, K Geetha, G Remmiya Devi… - … Application Tools for …, 2020 - Springer
The rate of neurological and psychiatric disorders is increasing rapidly in our day-to-day life,
and epilepsy is one of the common neurological disorders in brain which is a constant …
and epilepsy is one of the common neurological disorders in brain which is a constant …
Wavelet based features for classification of normal, ictal and interictal EEG signals
T Fathima, M Bedeeuzzaman… - Journal of Medical …, 2013 - ingentaconnect.com
Electroencephalogram (EEG) is the major diagnostic tool used for analyzing the human
epileptic seizure activity and there is a strong need of an efficient automatic seizure …
epileptic seizure activity and there is a strong need of an efficient automatic seizure …
Epileptic state detection: Pre-ictal, inter-ictal, ictal
Epileptic seizure detection and prediction from electroencephalography (EEG) is a vital area
of research. In this study, Second-Order Difference Plot (SODP) is used to extract features …
of research. In this study, Second-Order Difference Plot (SODP) is used to extract features …
Application of machine learning in epileptic seizure detection
Epileptic seizure is a neurological condition caused by short and unexpectedly occurring
electrical disruptions in the brain. It is estimated that roughly 60 million individuals worldwide …
electrical disruptions in the brain. It is estimated that roughly 60 million individuals worldwide …