Spike detection: Inter-reader agreement and a statistical Turing test on a large data set
Objective Compare the spike detection performance of three skilled humans and three computer algorithms. Methods 40 prolonged EEGs, 35 containing reported spikes, were evaluated. Spikes and sharp waves were marked by the humans and algorithms. Pairwise sensitivity and false positive rates were calculated for each human–human and algorithm-human pair. Differences