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 …
[HTML][HTML] Surrogate data for hypothesis testing of physical systems
G Lancaster, D Iatsenko, A Pidde, V Ticcinelli… - Physics Reports, 2018 - Elsevier
The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …
increasing, stimulating the development of many novel methods for the extraction of …
Seizure cycles in focal epilepsy
Importance Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …
Epileptic seizure prediction using relative spectral power features
M Bandarabadi, CA Teixeira, J Rasekhi… - Clinical …, 2015 - Elsevier
Objective Prediction of epileptic seizures can improve the living conditions for refractory
epilepsy patients. We aimed to improve sensitivity and specificity of prediction methods, and …
epilepsy patients. We aimed to improve sensitivity and specificity of prediction methods, and …
Seizure prediction with spectral power of EEG using cost‐sensitive support vector machines
Purpose: We propose a patient‐specific algorithm for seizure prediction using multiple
features of spectral power from electroencephalogram (EEG) and support vector machine …
features of spectral power from electroencephalogram (EEG) and support vector machine …
Seizure prediction for therapeutic devices: A review
K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2016 - Elsevier
Research in seizure prediction has come a long way since its debut almost 4 decades ago.
Early studies suffered methodological caveats leading to overoptimistic results and lack of …
Early studies suffered methodological caveats leading to overoptimistic results and lack 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 …
Crowdsourcing reproducible seizure forecasting in human and canine epilepsy
BH Brinkmann, J Wagenaar, D Abbot, P Adkins… - Brain, 2016 - academic.oup.com
Abstract See Mormann and Andrzejak (doi: 10.1093/brain/aww091) for a scientific
commentary on this article. Accurate forecasting of epileptic seizures has the potential to …
commentary on this article. Accurate forecasting of epileptic seizures has the potential to …
All together now: Analogies between chimera state collapses and epileptic seizures
Conceptually and structurally simple mathematical models of coupled oscillator networks
can show a rich variety of complex dynamics, providing fundamental insights into many real …
can show a rich variety of complex dynamics, providing fundamental insights into many real …
Predicting epileptic seizures from scalp EEG based on attractor state analysis
H Chu, CK Chung, W Jeong, KH Cho - Computer methods and programs in …, 2017 - Elsevier
Abstract Background and Objective Epilepsy is the second most common disease of the
brain. Epilepsy makes it difficult for patients to live a normal life because it is difficult to …
brain. Epilepsy makes it difficult for patients to live a normal life because it is difficult to …