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 …
Towards accurate prediction of epileptic seizures: A review
Recent research has investigated the possibility of predicting epileptic seizures. Intervention
before the onset of seizure manifestations could be envisioned with accurate seizure …
before the onset of seizure manifestations could be envisioned with accurate seizure …
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 …
Epileptic seizure prediction using CSP and LDA for scalp EEG signals
TN Alotaiby, SA Alshebeili, FM Alotaibi… - Computational …, 2017 - Wiley Online Library
This paper presents a patient‐specific epileptic seizure predication method relying on the
common spatial pattern‐(CSP‐) based feature extraction of scalp electroencephalogram …
common spatial pattern‐(CSP‐) based feature extraction of scalp electroencephalogram …
Automated real-time epileptic seizure detection in scalp EEG recordings using an algorithm based on wavelet packet transform
AS Zandi, M Javidan, GA Dumont… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
A novel wavelet-based algorithm for real-time detection of epileptic seizures using scalp
EEG is proposed. In a moving-window analysis, the EEG from each channel is decomposed …
EEG is proposed. In a moving-window analysis, the EEG from each channel is decomposed …
Prediction of epileptic seizures from EEG using analysis of ictal rules on Poincaré plane
Abstract Background and Objective Epilepsy is a neurological disorder that causes recurrent
and abrupt seizures which makes the patients insecure. Predicting seizures can reduce the …
and abrupt seizures which makes the patients insecure. Predicting seizures can reduce the …
Learning EEG synchronization patterns for epileptic seizure prediction using bag-of-wave features
S Cui, L Duan, Y Qiao, Y Xiao - Journal of Ambient Intelligence and …, 2023 - Springer
Epileptic seizure prediction has the potential to promote epilepsy care and treatment.
However, the seizure prediction accuracy does not satisfy the application requirements. In …
However, the seizure prediction accuracy does not satisfy the application requirements. In …
Stimulation-based anticipation and control of state transitions in the epileptic brain
We focus on the implications that the underlying neuronal dynamics might have on the
possibility of anticipating seizures and designing an effective paradigm for their control …
possibility of anticipating seizures and designing an effective paradigm for their control …
Seizure prediction: any better than chance?
OBJECTIVE: To test whether epileptic seizure prediction algorithms have true predictive
power, their performance must be compared with the one expected under well-defined null …
power, their performance must be compared with the one expected under well-defined null …
Online seizure prediction using an adaptive learning approach
S Wang, WA Chaovalitwongse… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Epilepsy is one of the most common neurological disorders, characterized by recurrent
seizures. Being able to predict impending seizures could greatly improve the lives of …
seizures. Being able to predict impending seizures could greatly improve the lives of …