Unprecedented in accuracy, Persyst 14 Spike Detection performs within the range of skilled humans.
Persyst 14 Spike Detection inaugurates a generational leap in algorithm performance to human-like levels.
In a recent study evaluating a large set of EEG recordings containing epileptiform abnormalities, the performance of skilled human readers was compared to three Persyst spike detection algorithms: the newest and most advanced spike detector in Persyst 14, and two previous Persyst spike detector versions. Spikes and sharp waves were marked by skilled readers and the algorithms. Pairwise sensitivity and false positive rates were calculated for each human-human and algorithm-human pair. The P14 Spike Detector was statistically noninferior to the study’s human readers for spike identification.
This was the first time that a spike detection algorithm and human EEG readers performed similarly.
Persyst 14 Spike Detection uses a set of advanced neural networks, applied across several different montages, to monitor EEG background, the presence or absence of artifacts, the waveform morphology and voltage field spread of possible abnormalities. All of this allows the detector to be extremely sensitive while maintaining a low false positive rate.