Seizure prediction—ready for a new era
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
Where does EEG come from and what does it mean?
MX Cohen - Trends in neurosciences, 2017 - cell.com
Electroencephalography (EEG) has been instrumental in making discoveries about
cognition, brain function, and dysfunction. However, where do EEG signals come from and …
cognition, brain function, and dysfunction. However, where do EEG signals come from and …
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
Seizure prediction has attracted growing attention as one of the most challenging predictive
data analysis efforts to improve the life of patients with drug-resistant epilepsy and tonic …
data analysis efforts to improve the life of patients with drug-resistant epilepsy and tonic …
Focal onset seizure prediction using convolutional networks
H Khan, L Marcuse, M Fields… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: This paper investigates the hypothesis that focal seizures can be predicted using
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
Epileptic seizure prediction using big data and deep learning: toward a mobile system
Background Seizure prediction can increase independence and allow preventative
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
Critical slowing down as a biomarker for seizure susceptibility
The human brain has the capacity to rapidly change state, and in epilepsy these state
changes can be catastrophic, resulting in loss of consciousness, injury and even death …
changes can be catastrophic, resulting in loss of consciousness, injury and even death …
Epilepsyecosystem. org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG
Accurate seizure prediction will transform epilepsy management by offering warnings to
patients or triggering interventions. However, state-of-the-art algorithm design relies on …
patients or triggering interventions. However, state-of-the-art algorithm design relies on …
The circadian profile of epilepsy improves seizure forecasting
It is now established that epilepsy is characterized by periodic dynamics that increase
seizure likelihood at certain times of day, and which are highly patient-specific. However …
seizure likelihood at certain times of day, and which are highly patient-specific. However …
Epileptic seizure prediction using deep transformer model
The electroencephalogram (EEG) is the most promising and efficient technique to study
epilepsy and record all the electrical activity going in our brain. Automated screening of …
epilepsy and record all the electrical activity going in our brain. Automated screening of …
A forward-looking review of seizure prediction
We conclude the review with an exercise in wishful thinking, which asks what the ideal
seizure prediction dataset would look like and how these data should be manipulated to …
seizure prediction dataset would look like and how these data should be manipulated to …