Seizure detection: evaluation of the Reveal algorithm.

Objective: The aim of this study is to evaluate an improved seizure detection algorithm and to compare with two other algorithms and human experts.

Methods: 672 seizures from 426 epilepsy patients were examined with the (new) Reveal algorithm which utilizes 3 methods, novel in their application to seizure detection: Matching Pursuit, small neural network-rules and a new connected-object hierarchical clustering algorithm.

Results: Reveal had a sensitivity of 76% with a false positive rate of 0.