Persyst Seizure Detection is the most advanced available.

It uses a powerful set of neural networks to identify changes in the EEG that represent electrographic seizures. The detector also looks for activity like chewing and electrode artifact in order to reduce the possibility of false positives. Persyst’s unique Seizure Probability Trend also can highlight changes that might be important for review, but did not trigger the seizure detection threshold. The Persyst Detector is completely automatic and does not require any setup or adjustments before use.

When integrated with EEG system software the detection comments are automatically added to the manufacturer’s comment list for ease of review. Depending on the implementation these comments can also be used to trigger nursing station alarms.

Advanced Neural Network Technology

The Persyst Seizure Detector neural network uses a wide range of inputs from the EEG in order to determine the probability that the data in a particular epoch represents an electrographic seizure. These inputs include the background activity, Artifact Reduction, Rhythmicity, Amplitude, Symmetry, and many more. It has been trained on thousands of marked seizures, and confounding activity (movement, chewing, electrode artifact etc.) in order to accurately identify the types of changes most likely to be associated with seizures.

Seizure Probability Trend

Unlike any other detector the Persyst detector includes a seizure probability Trend which represents the output of a second by second calculation from the neural networks. The value of this Trend is the probability that any given second of the EEG represents an electrographic seizure. This Trend can be displayed in concert with the other Persyst Trends to help reviewers identify seizures that may not reach the threshold for seizure detection, or to spot other relevant changes to the EEG.