@inproceedings{69c0505fecee459fa7392cfe85f51710,
title = "Automatic EEG spike detection: What should the computer look for?",
abstract = "Epileptiform spikes marked by eight electroencephalogram (EEG) readers are compared with a computer-based spike detector for 12 EEG files. The observed variability between readers shows that 18% of all marked spikes were marked by all readers and 38% were marked by only one reader. For all possible pairs of EEG readers the average number of spikes marked by one reader that were also marked by another was 52%. These findings suggest that a priori decisions should be made regarding criteria for spikes, e.g., definite spikes marked by many human readers versus possible spikes marked only by a few readers. Automatic spike detectors may approach practical useful screening sensitivities and selectivities based upon the required accuracy.",
author = "Webber, {W. R.S.} and Fisher, {R. S.} and Lesser, {R. P.}",
year = "1991",
month = dec,
day = "1",
language = "English (US)",
isbn = "0780302168",
series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
publisher = "Publ by IEEE",
number = "pt 3",
pages = "1195--1196",
booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
edition = "pt 3",
note = "Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 31-10-1991 Through 03-11-1991",
}