P14 Seizure Detection is shifting the curve.

In a recent publication, the Persyst 14 seizure detector was shown to be statistically noninferior to the human expert readers in the study. For the first time a seizure detection algorithm and human experts performed similarly.

Utilizing the latest deep learning artificial intelligence technology and thousands of hours of expertly marked EEG, P14 is a quantum leap forward in seizure detection.

It’s more accurate. The P14 Seizure Detector has higher sensitivity, up to 95%.  P14 also has a much lower false positive rate.  When equivalent sensitivities are compared, P14 has fewer false positives than the earlier P13 by an order of magnitude.

It’s faster. The P14 detector features much lower latency so seizure notifications are raised more than a factor of two earlier than our previous detector.

It’s adjustable. The P14 detector now allows for the user to set patient specific values for sensitivity and duration threshold that can be carried across recordings for the same patient. Meanwhile, the Seizure Probability Trend still displays all potential detections even if they fall below the patient thresholds.

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 segment 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 segment 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.