In Seizure, it felt like walking around the interior of a giant gemstone-encrusted cave.
In seizure detection problem this step is the classification between normal and epileptic EEG.
In seizure onset detection, performance of the detector is described by latency and sensitivity.
A decrease in seizure latency and an increase in seizure severity were also observed.
Tolerance manifested as a decrease in seizure threshold to near-control values, while withdrawal hyperexcitability was evidenced by a significant decrease in seizure threshold below the control value.
Section 1.7 presents the role of ICA and PCA in seizure detection.
The simulation results revealed an accuracy of 91.2% in seizure activity detection.
Another example where channel reduction is of a potential value is in seizure detection and prediction.
These findings suggest that HRV provides important information that can be used in seizure detection.
After tDCS 3 out 9 patients have not any change in seizure rate.
Further work is required to determine what mechanisms account for daily variation in seizure susceptibility.
