… spatial-temporal dynamics of the epileptic brain could be … to a seizure state, time series
analysis techniques should be … proof-of-concept study of an implantable seizure prediction …

… the accumulated evidence that EEG connectivity analyses … and can be of great value for the
advanced detection of seizures, … linear and nonlinear causal influences that time series exert …

… in the electrophysiological activity of the brain. Accordingly, … We observe that the proposed
time series prediction method is … Our analysis provide evidence for the occurrence of tremors, …

… brain science and neurological medicine paid a particular attention to develop machine
learning-based techniques for the detection and prediction of epileptic seizures … time series and …

… of 45 patients we demonstrate that the method can improve the predictions of the states of
the … Next, the log-power time series were normalized to preictal baseline, determined as the …

… in initial conditions can have large effects on time series (50). … The non-epileptic brain is
stable and does not easily move … is a non-linear system, then seizure prediction may be limited …

… of strategies for prediction and clinical treatment of epilepsy. … evidence of seizure onset not
in the entire brain (generalized … of the EEG time series to get the source time series for each …

… of inference and prediction in many data streams. This … We discuss incorporation of brain
states into time-series models … This provides evidence that, when seizures occur, they tend to …

… The brain activity of patients with epilepsy can be … RNN performs significantly better on time
series data while CNN is … [124] are evidence for the need of a multimodal framework for ES …

… device that treats seizures with direct brain- responsive … We forecasted seizures in two
subjects of the nine adults … most recent seizure time series St and recent IEA time series It …