Seizure forecasting: bifurcations in the long and winding road
… science of seizure timing is emerging, which in turn informs best forecasting strategies for …
Although the finish line might be in view, many challenges remain to make seizure forecasting …
Although the finish line might be in view, many challenges remain to make seizure forecasting …
Seizure Prediction in Epilepsy Patients
GD Cravens - 2022 - nsuworks.nova.edu
… epilepsy patients are not well-controlled on medications and would benefit immensely
from reliable seizure prediction… Seizure prediction: the long and winding road. Brain 130:314–333. …
from reliable seizure prediction… Seizure prediction: the long and winding road. Brain 130:314–333. …
Seizure prediction and intervention
C Meisel, T Loddenkemper - Neuropharmacology, 2020 - Elsevier
… Below, we discuss implications for epilepsy monitoring, seizure prediction and detection.
To offer a brief introduction, we will begin by considering a simple cortical network model. In …
To offer a brief introduction, we will begin by considering a simple cortical network model. In …
Seizure forecasting: Where do we stand?
… measure of the benefit of seizure forecasting is the patient's quality of life. The next stages
on the long and winding road toward seizure forecasting at clinically useful levels would …
on the long and winding road toward seizure forecasting at clinically useful levels would …
Seizure forecasting and cyclic control of seizures
… • Seizure forecasting is a key goal of the epilepsy community, … Existing seizure prediction
algorithms often rely on short-term … Seizure prediction: the long and winding road. Brain. 2007;…
algorithms often rely on short-term … Seizure prediction: the long and winding road. Brain. 2007;…
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?
H Yang, M Eberlein, J Müller… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
… of seizures or their precursors although that has always been the focus in seizure prediction
… and to demonstrate its effect on seizure prediction we successively changed the train set for …
… and to demonstrate its effect on seizure prediction we successively changed the train set for …
[HTML][HTML] An end-to-end seizure prediction approach using long short-term memory network
X Wu, Z Yang, T Zhang, L Zhang… - Frontiers in Human …, 2023 - frontiersin.org
… to achieve encouraging performance in seizure prediction. … In addition, performance evaluation
and seizure prediction are … Discussion,” we discuss different seizure prediction methods …
and seizure prediction are … Discussion,” we discuss different seizure prediction methods …
Robust feature learning method for epileptic seizures prediction based on long-term EEG signals
… field of epileptic seizures detection/prediction are presented in the section II. In section III,
we describe the used dataset and the proposed methodology for seizure prediction. Results …
we describe the used dataset and the proposed methodology for seizure prediction. Results …
Seizure detection, prediction, and forecasting
A Fu, FA Lado - Journal of Clinical Neurophysiology, 2024 - journals.lww.com
… on seizure prediction. Despite doubts, significant advances in the field of seizure prediction
… in man in 2013 that demonstrated that long-term seizure prediction is possible based on …
… in man in 2013 that demonstrated that long-term seizure prediction is possible based on …
Roughness-length-based characteristic analysis of intracranial EEG and epileptic seizure prediction
Y Zhang, R Yang, W Zhou - International journal of neural systems, 2020 - World Scientific
… development of epileptic seizure prediction technology. However, the existing seizure prediction
methods … In this paper, a seizure prediction method is developed based on EEG’s fractal …
methods … In this paper, a seizure prediction method is developed based on EEG’s fractal …