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 …
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
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 …
Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy
AN Khambhati, A Shafi, VR Rao… - Science Translational …, 2021 - science.org
Responsive neurostimulation (RNS) devices, able to detect imminent seizures and to rapidly
deliver electrical stimulation to the brain, are effective in reducing seizures in some patients …
deliver electrical stimulation to the brain, are effective in reducing seizures in some patients …
Methods for artifact detection and removal from scalp EEG: A review
Electroencephalography (EEG) is the most popular brain activity recording technique used
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
Emerging technologies for improved deep brain stimulation
Deep brain stimulation (DBS) is an effective treatment for common movement disorders and
has been used to modulate neural activity through delivery of electrical stimulation to key …
has been used to modulate neural activity through delivery of electrical stimulation to key …
[HTML][HTML] Machine-learning-based diagnostics of EEG pathology
LAW Gemein, RT Schirrmeister, P Chrabąszcz… - NeuroImage, 2020 - Elsevier
Abstract Machine learning (ML) methods have the potential to automate clinical EEG
analysis. They can be categorized into feature-based (with handcrafted features), and end-to …
analysis. They can be categorized into feature-based (with handcrafted features), and end-to …
A novel multi-class EEG-based sleep stage classification system
Sleep stage classification is one of the most critical steps in effective diagnosis and the
treatment of sleep-related disorders. Visual inspection undertaken by sleep experts is a time …
treatment of sleep-related disorders. Visual inspection undertaken by sleep experts is a time …
Closed-loop optogenetic control of thalamus as a tool for interrupting seizures after cortical injury
Cerebrocortical injuries such as stroke are a major source of disability. Maladaptive
consequences can result from post-injury local reorganization of cortical circuits. For …
consequences can result from post-injury local reorganization of cortical circuits. For …
A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms
Sleep scoring is one of the most important diagnostic methods in psychiatry and neurology.
Sleep staging is a time consuming and difficult task undertaken by sleep experts. This study …
Sleep staging is a time consuming and difficult task undertaken by sleep experts. This study …