Time-frequency domain deep convolutional neural network for the classification of focal and non-focal EEG signals
S Madhavan, RK Tripathy, RB Pachori - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
The neurological disease such as the epilepsy is diagnosed using the analysis of
electroencephalogram (EEG) recordings. The areas of the brain associated with the …
electroencephalogram (EEG) recordings. The areas of the brain associated with the …
A unified framework and method for EEG-based early epileptic seizure detection and epilepsy diagnosis
Z Chen, G Lu, Z Xie, W Shang - IEEE Access, 2020 - ieeexplore.ieee.org
Electroencephalogram (EEG) contains important physiological information that can reflect
the activity of human brain, making it useful for epileptic seizure detection and epilepsy …
the activity of human brain, making it useful for epileptic seizure detection and epilepsy …
Detection of epileptic seizures from EEG signals by combining dimensionality reduction algorithms with machine learning models
Epilepsy is a neurological condition that affects the central nervous system. While its effects
are different for each person, they mostly include abnormal behaviour, periods of loss of …
are different for each person, they mostly include abnormal behaviour, periods of loss of …
Exploiting feature selection and neural network techniques for identification of focal and nonfocal EEG signals in TQWT domain
For drug resistance patients, removal of a portion of the brain as a cause of epileptic
seizures is a surgical remedy. However, before surgery, the detailed analysis of the epilepsy …
seizures is a surgical remedy. However, before surgery, the detailed analysis of the epilepsy …
Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique
Epilepsy is one of the medical conditions in human caused by the disorder in central-
nervous-system (CNS). Early detection and treatment are essential patient healthcare. Brain …
nervous-system (CNS). Early detection and treatment are essential patient healthcare. Brain …
Effective early detection of epileptic seizures through EEG signals using classification algorithms based on t-distributed stochastic neighbor embedding and K-means
Epilepsy is a neurological disorder in the activity of brain cells that leads to seizures. An
electroencephalogram (EEG) can detect seizures as it contains physiological information of …
electroencephalogram (EEG) can detect seizures as it contains physiological information of …
Discrimination of focal and non-focal seizures from EEG signals using sliding mode singular spectrum analysis
Epilepsy is a neurological disorder, and it is diagnosed using electroencephalogram (EEG)
signal. The discrimination of focal and non-focal categories of EEG signals is the primary …
signal. The discrimination of focal and non-focal categories of EEG signals is the primary …
Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features
F Krikid, A Karfoul, S Chaibi, A Kachenoura… - … Signal Processing and …, 2022 - Elsevier
Abstract High Frequency Oscillations (HFOs) occurring in the range of [30–500 Hz] in
epileptic intracranial ElectroEncephaloGraphic (iEEG) signals have recently proven to be …
epileptic intracranial ElectroEncephaloGraphic (iEEG) signals have recently proven to be …
Comparing nonlinear features extracted in EEMD for discriminating focal and non-focal EEG signals
S Ghofrani, H Akbari - Tenth international conference on signal …, 2019 - spiedigitallibrary.org
Removing the brain part, as the epilepsy source attack, is a surgery solution for those
patients who have drug resistant. So, the epilepsy localization area is an essential step …
patients who have drug resistant. So, the epilepsy localization area is an essential step …
Recurrence Plot-Assisted Detection of Focal/Non-focal EEG Signals Using Ensemble Deep Features
Y Sun, C Yang, Z Xu, Y Lu - Journal of Medical and Biological …, 2023 - Springer
Purpose An electroencephalogram (EEG) is usually considered to be a method to examine
electrical activity in the brain during a medical consultation. EEGs help to diagnose various …
electrical activity in the brain during a medical consultation. EEGs help to diagnose various …