@inproceedings{cf1f7ca441654b60942f277dd5e9c4c1,
title = "Automatic detector of High Frequency Oscillations for human recordings with macroelectrodes",
abstract = "High Frequency Oscillations (HFOs) in the EEG are a promising biomarker of epileptogenic tissue. Given that the visual marking of HFOs is highly time-consuming and subjective, automatic detectors are necessary. In this study, we present a novel automatic detector that detects HFOs by incorporating information of previously detected baselines. The detector was trained on 72 channels and tested on 278, achieving a mean sensitivity of 96.8% with a mean false positive rate of 4.86%. This low rate is reasonable since only visually marked baseline segments were considered as the true negatives. This detector could be useful for the systematic study of HFOs and for their eventual clinical application.",
keywords = "HUMAN EPILEPTIC BRAIN, ENTORHINAL CORTEX, 100-500 HZ, SEIZURES, EEG",
author = "R. Zelmann and F. Mari and J. Jacobs and M. Zijlmans and R. Chander and J. Gotman",
year = "2010",
doi = "10.1109/IEMBS.2010.5627464",
language = "English",
isbn = "9781424441235",
series = "IEEE Engineering in Medicine and Biology Society Conference Proceedings",
publisher = "IEEE",
pages = "2329--2333",
booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
note = "32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10) ; Conference date: 30-08-2010 Through 04-09-2010",
}