[Retracted] EEG‐Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review
I Ahmad, X Wang, M Zhu, C Wang, Y Pi… - Computational …, 2022 - Wiley Online Library
Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward developing novel and efficient …
disrupts the lifestyle of affected individuals. Toward developing novel and efficient …
The epidemiology of epilepsy
E Beghi - Neuroepidemiology, 2020 - karger.com
Epilepsy is a chronic disease of the brain characterized by an enduring (ie, persisting)
predisposition to generate seizures, unprovoked by any immediate central nervous system …
predisposition to generate seizures, unprovoked by any immediate central nervous system …
Thermoelectrics for medical applications: Progress, challenges, and perspectives
Thermoelectrics, enabling the direct conversion between heat and electrical energy, exhibit
great potentials for employing to localized power generation and refrigeration. Their unique …
great potentials for employing to localized power generation and refrigeration. Their unique …
Global, regional, and national burden of epilepsy, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
E Beghi, G Giussani, E Nichols, F Abd-Allah… - The Lancet …, 2019 - thelancet.com
Background Seizures and their consequences contribute to the burden of epilepsy because
they can cause health loss (premature mortality and residual disability). Data on the burden …
they can cause health loss (premature mortality and residual disability). Data on the burden …
Incidence and prevalence of drug-resistant epilepsy: a systematic review and meta-analysis
B Sultana, MA Panzini, A Veilleux Carpentier… - Neurology, 2021 - AAN Enterprises
Objective To evaluate the incidence and prevalence of drug-resistant epilepsy (DRE) as well
as its predictors and correlates, we conducted a systematic review and meta-analysis of …
as its predictors and correlates, we conducted a systematic review and meta-analysis of …
A review of epileptic seizure detection using machine learning classifiers
Epilepsy is a serious chronic neurological disorder, can be detected by analyzing the brain
signals produced by brain neurons. Neurons are connected to each other in a complex way …
signals produced by brain neurons. Neurons are connected to each other in a complex way …
Neuroinflammation and proinflammatory cytokines in epileptogenesis
A Soltani Khaboushan, N Yazdanpanah… - Molecular neurobiology, 2022 - Springer
Increasing evidence corroborates the fundamental role of neuroinflammation in the
development of epilepsy. Proinflammatory cytokines (PICs) are crucial contributors to the …
development of epilepsy. Proinflammatory cytokines (PICs) are crucial contributors to the …
Prevalence and incidence of epilepsy: a systematic review and meta-analysis of international studies
Objective: To review population-based studies of the prevalence and incidence of epilepsy
worldwide and use meta-analytic techniques to explore factors that may explain …
worldwide and use meta-analytic techniques to explore factors that may explain …
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
P Boonyakitanont, A Lek-Uthai, K Chomtho… - … Signal Processing and …, 2020 - Elsevier
Since the manual detection of electrographic seizures in continuous electroencephalogram
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …
[图书][B] Epilepsy: a public health imperative
World Health Organization - 2019 - apps.who.int
Epilepsy is a brain disease characterized by abnormal electrical activity causing seizures or
unusual behaviour, sensations and sometimes loss of awareness. It carries neurological …
unusual behaviour, sensations and sometimes loss of awareness. It carries neurological …