Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …
Seizure type detection in epileptic EEG signal using empirical mode decomposition and support vector machine
Epilepsy is a serious neurological disorder that needs more attention by society. The
International League Against Epilepsy (ILAE) mentioned that the term epilepsy referred to …
International League Against Epilepsy (ILAE) mentioned that the term epilepsy referred to …
Analysis of complex time series based on EMD energy entropy plane
J Gao, P Shang - Nonlinear Dynamics, 2019 - Springer
Empirical mode decomposition (EMD) is a self-adaptive signal processing method that can
be applied to nonlinear and non-stationary processes perfectly. In view of this good ability of …
be applied to nonlinear and non-stationary processes perfectly. In view of this good ability of …
Analysis of complex time series based on EEMD energy entropy plane
S Wang, Z Yang, X Zheng, Z Ma - Chaos, Solitons & Fractals, 2024 - Elsevier
Ensemble empirical mode decomposition (EEMD) is an adaptive signal processing method
that can be effectively applied to nonlinear and non-stationary complex systems. Due to this …
that can be effectively applied to nonlinear and non-stationary complex systems. Due to this …
[PDF][PDF] Epileptic seizure detection in EEG signal using EMD and entropy
I Wijayanto, A Rizal - Journal of Electronic Systems Volume, 2019 - dline.info
Epilepsy is a disease caused by abnormal electrical activity in the brain. One of the
techniques for diagnosing epilepsy is by analyzing electroencephalogram (EEG) signals …
techniques for diagnosing epilepsy is by analyzing electroencephalogram (EEG) signals …
Seizure classification on epileptic EEG using IMF-entropy and support vector machine
Various methods have been developed by researchers to recognize brain abnormalities
through EEG signals. One of the diseases or disorders of the brain is seizures in epilepsy …
through EEG signals. One of the diseases or disorders of the brain is seizures in epilepsy …
Wrapper Subset Feature Selection for Optimal Feature Selection in Epileptic Seizure Signal Classification
Epilepsy is diagnosed by assessing the brain signal using an electroencephalograph (EEG).
The assessment relies on manual visual inspection, which required experience and years of …
The assessment relies on manual visual inspection, which required experience and years of …